PLoS Neglected Tropical Diseases
Another dengue fever outbreak in Eastern Ethiopia—An emerging public health threat
DOI 10.1371/journal.pntd.0008992 , Volume: 15 , Issue: 1
Article Type: research-article, Article History
•
•
• Altmetric

Notes

Abstract

In 2017 an outbreak of Dengue fever (DF) was reported in Kabridahar Town, Ethiopia. This mosquito transmitted disease was recently detected in Ethiopia only four years prior, with this being the first time it was identified in the area. In response, our team was dispatched to confirm the presence of the disease, identify potential causes, and implement mitigation and control measures. We identified and compared suspected cases and suspected non-cases to identify the potential risk factors of infection. Laboratory confirmation of infection and disease-type was also performed. Due to the entomological nature of disease transmission, additional entomological investigations were conducted at the households of both groups to understand its influence at the household level. Through these measures, we were able to establish the presence of DF in Kabridahar Town and identify risk factors leading to infection. Risk factors included a lack of formal education and open water containers near the home, while the presence of long-lasting insecticide-treated nets were found to be protective. Mitigation and control measures were implemented to combat or promote the identified risk and protective factors respectively. Cases counts began to reduce five days after the onset of these measures. Recommendations were made based on our findings to prevent future outbreaks. The last case was recorded ten days after implementation of the mitigation and control measures.

Gutu, Bekele, Seid, Mohammed, Gemechu, Woyessa, Tayachew, Dugasa, Gizachew, Idosa, Tokarz, Sugerman, and Viennet: Another dengue fever outbreak in Eastern Ethiopia—An emerging public health threat

Introduction

Dengue fever (DF) is a viral disease primarily transmitted by Aedes (Ae.) aegypti mosquitoes and is found in tropical and sub-tropical climates worldwide, mostly in urban and semi-urban areas [1,2]. The disease is commonly characterized by a rapid onset of fever, headache, rash, and severe joint and muscle pain [3]. Repeated infections with different serotypes can cause a life-threatening condition called severe dengue [4]. Globally, DF incidence has increased 30-fold over the last 50 years, with increasing geographic expansion to new countries and, in the last decade, from urban to rural settings [5]. DF is endemic throughout the tropics and sub-tropics, with an estimated 3.8 (95% confidence interval [CI] 3.5–4.1) billion people (roughly 53% of the global population) living in areas that are suitable for Dengue virus (DENV) transmission with the vast majority in Asia, followed by Africa and the Americas [6], with models estimating upwards of 400 million infections annually [4].

Known risk factors for dengue virus infection include those that facilitate mosquito breeding sites, such as extended rainfall and high humidity and high temperature [7,8]. Having indoor and outdoor water containers—especially uncovered containers such as buckets, drums, tires, pots, and jerry cans—with stagnant water provides breeding sites to for Ae. aegypti in urban areas and facilitates transmission [9,10]. The absence of door and window screens and failure to use repellents has also been shown to facilitate infection [11,12]. This is particularly important, as the weather conditions in Ethiopia’s Somali region results in the commonly observed practice of early morning and daytime sleeping.

Despite being considered a neglected tropical disease, DF is a substantial issue on the African continent. During 1960–2010, 22 countries in Africa reported sporadic DF cases or outbreaks, with most resulting from serotype 2 (DENV 2) [13,14]. A recently published systematic review looking at 80,977 participants from 76 studies during the years of 2000–2017 provides strong supports for this idea. This meta-analysis of the prevalence of DENV infection in African residents illustrates high prevalence on the continent, although with heterogeneity depending on location, disease presentation, and viral markers [15]. Immunoglobulin and RNA analysis for example, showed Western Africa to have the highest IgG seroprevalence in febrile participants, while Central Africa displayed the highest IgM seroprevalence and RNA prevalence in this same participant group. Geographic differences were also shown upon analysis of apparently healthy individuals [15].

In 2013 DF was first detected in Ethiopia, with over 12,000 DF cases reported [16]. Since this time, outbreaks have been confirmed in the Northern and Eastern parts of the country. The first confirmed outbreak occurred in Dire Dawa, demarcated as both a city and a region and located central-eastern Ethiopia. The outbreak impacted over 11,000 people [17]. The following year, in 2014, outbreaks occurred again in Dire Dawa, as well as in the south-eastern portion of the country in Godey Town, Somali Region and Adaar Woreda in Afar Region, which is located in northern Ethiopia [17,18,19]. Outbreaks have since occurred on a yearly basis in Godey Town [19] and Dire Dawa [20], indicating that the virus has become well established within these portions of the country. Additional evidence of DF in northern Ethiopia was detected in Humera, Tigray Region and Metema, Amhara Region via a serological cross-sectional study of febrile patients in these regions [21]. This same study found anti-DENV IgG seropositivity during each month of the year, suggesting the potential of DENV endemicity.

On May 13, 2017, the Somali regional Health Bureau notified the Ethiopian Public Health Institute (EPHI) / Public Health Emergency Management (PHEM) of the first suspected DF outbreak in Kabridahar Town (Korahey Zone, in Eastern Ethiopia), and requested an investigation. A team comprising a field epidemiologist, environmental health expert, medical doctor, and laboratory technologist deployed to confirm the outbreak was due to dengue virus, assess risk factors for dengue, perform an entomological survey, and provide recommendations for outbreak mitigation and control.

Methods

Ethics statement

The Research Ethical Review Committee of Somali Regional Health Bureau approved the study and provided ethical clearance. The national public health authorities are empowered and mandated to conduct outbreak investigations as indicated in the Ethiopian Public Health Institute Establishment Council of Ministers Regulation No.301/2013 (Federal Negarit Gazette of the Federal Democratic Republic of Ethiopia. Ethiopian Public Health Institute Establishment Council of Ministers Regulation. Regulation no. 301/2013. 20th Year No. 10. Addis Ababa, Ethiopia; 2014) to protect the community from outbreak adverse effects compelling the community to participate during outbreak investigations, as they are benefitted from the interventions.

Ethical clearance was also obtained from the Ethiopian Public Health Institute (EPHI). A letter was written from the Regional Health Bureau to obtain approval for data collection and additional permission was sought from Kabridahar District Health Office. In all villages and towns, the investigators were accompanied by health extension workers who explained the purpose of the visit to the owner of the houses visited. Oral informed consent was obtained from the head of the households for larval and adult mosquito collection and from adult patients and caretakers of children. Assent was obtained from older children before participating in the study. Confidentiality was assured throughout the study. Protection of individual privacy was conducted using confidential codes and the analysis of the resulting outbreak data was conducted anonymously.

Study area

Kabradihar District lies within the Korahey Zone of the Somali region. The District includes Kabradihar Town, comprising 10 urban villages and 16 rural villages surrounding the town. The town is nearly 400 km from Jijiga, the capital of the Somali region, bordered by rural lands, at an elevation of 493 meters above sea level with an average temperature of 30° C. The total population of Kabradihar Town was estimated at 60,000 in 2017. The town has one district hospital, three health posts, and five private clinics [22].

Study design

There is no ongoing surveillance system for arboviruses in Ethiopia. Cases were identified by reviewing medical records, line lists, and rumor logbooks, as well as door-to-door active searches with the assistance of community leaders and community health extension workers. Line lists refer to a recorded line list table that summarizes information about persons who may be associated with an outbreak, while rumor logs are records of information passed along from the community, notifying of an unusual event.

We defined suspected DF as acute febrile illness of 2–7 days duration, with two or more of the following: headache, fever, retro-orbital pain, myalgia, arthralgia, rash, and hemorrhagic manifestations from May 4—June 22, 2017 in a resident of Kabridahar District. This time period begins one week prior to the first reported case and concludes 3 weeks after the final case in the outbreak was reported. We defined severe dengue as DF with evidence of severe hemorrhage, severe organ involvement, or severe plasma leakage. All persons identified through active surveillance were provided medical care. All suspected cases were sent to Kabridahar Hospital, the nearest general hospital, while complicated and suspected severe cases were sent to Jijiga referral hospital. A confirmed case was defined as detection of dengue virus (DENV) in blood by real time reverse transcriptase-polymerase chain reaction (RT-PCR) [23].

We conducted descriptive analysis on all 101 suspected cases, followed by a 1:2 case-control study, matched by neighborhood. For every identified suspected case (one per home), two asymptomatic neighborhood controls were selected from different residences and interviewed on the same day as the case. The sample size for the case-control study was calculated using a confidence level of 95%, power of 80%, a 50% prevalence of using an LLITN, an odds ratio (OR) of 2.98 [12], and with a 1:2 ratio of cases to controls for a total sample size of 150 (50 cases and 100 controls). The last 50 suspected cases identified were included in the case-control study. Attack rate was conducted using all cases, both confirmed and suspected, in relationship to the total population. Data was collected through face-to-face interviews with participants at the hospital or in their homes, using structured questionnaires.

Data processing and analysis

Data was double-entered into Epi Info software version 7.2. We calculated descriptive statistics and conducted conditional bivariate and multivariate logistic regression to compare exposures between cases and controls. Conditional regression was employed to account for matching. All variables with p < .25 in bivariate analysis underwent further conditional multivariate logistic regression. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) are presented. Possible a priori geographic confounders were accounted for through the neighborhood-matching component of the case-control study design.

Laboratory investigation

Serum specimens of 3-5ml were collected into a serum separator tube from a subset of 21 cases and shipped with their accompanying case investigation forms to the National Reference Laboratory at Ethiopian Public Health Institute (EPHI). All samples were centrifuged at health facilities within the outbreak area before being shipped to the National Influenza and Arbovirus Laboratory at EPHI, as there were no established local and regional capacities for laboratory detection of dengue viruses. Appropriate implementation of triple packaging of the samples to maintain the cold chain was ensured and each completed case reporting form was also included.

The serum was then subjected to RNA extraction using QIAGEN RNA extraction Mini kit (QIAamp Viral RNA Mini Kit). Amplification was conducted using the Invitrogen SuperScript III Platinum One-Step qRT-PCR Kit. The total reaction volume was 25ul and composed of 10ul of the RNA extract elute and 15ul of the prepared master mix from the Invirtrogen kit (SuperScript III). Each sample was simultaneously tested for dengue (DENV), zika (ZIKV) and chikungunya (CHIKV) viruses using the Trioplex Real-time RT-PCR Assay [24]. The Trioplex Real-time RT-PCR Assay was developed for simultaneous identification of DENV, CHIKV, and ZIKV at a single RT-PCR well by assigning a different detection channel and human specimen control at a separate well for each sample (FAM for DENV, VIC for CHIKV, TEXAS RED for ZIKV and FAM for HSC). The corresponding thermocycler conditions was adjusted as follows: reverse transcription to cDNA at 45°C for 10 min, Taq activation and denaturation at 95°C for 10 min, and amplification at 45 cycles of 95°C for 15 seconds, 55°C for 60 seconds (extension and data collection). Specimens were considered positive if exponential curves with logarithmic, linear, and plateau phases were produced. Concurrently, a valid individual human specimen control (extraction control), along with positive and negative controls must have also been present. As per the kit manufacturer’s recommendation, amplification curves with cycle threshold values ≤38 from the total reaction cycle of 45 were considered to be positive.

All samples identified as DENV positive were then retested for differentiation of the four dengue serotypes. The dengue positive samples were selected and analyzed for serotype using the fast track diagnostics (FTD) kit strictly following the manufacturer’s procedure [25]. For this process, a new mastermix preparation and thermocyler program was utilized. The mastermix contained mixes of primer and probes of Dengue serotype 1–4 within the same tube but designated to different detection channels. Detection channels FAM, JOE, Cy5, and ROX were designated for Dengue virus type 1, 2, 3, and 4 respectively. A total reaction volume of 25ul, 15ul mastermix and 10ul of the extracted RNA elute, was utilized. The corresponding thermocycler conditions was adjusted as follows: reverse transcription to cDNA at 50°C for 15 min, Taq activation and denaturation at 94°C for 1 min, and amplification at 45 cycles of 94°C for 8 seconds, 60°C for 60 seconds (extension and data collection).

Entomological investigation

The entomological investigation occurred within all villages in Kabridahar Town from May 14–27. All households with suspected cases and the majority of those in the control group from the case-control study were investigated. Investigations were conducted in a house-to-house fashion, observing for mosquito breeding sites at water sources and in homes, as well as for the presence of uncovered water containers, screening of windows, and empty containers inside and outside the homes. Villages were selected based on consultation with the Zonal PHEM coordinator and Kabridahar Town Health Office and primarily involved villages where suspected cases originated. Purposive sampling of potential breeding sites and indices occurred where cases were reported and were extended up to a 100-meter radius. Sampling continued up to three kilometers from town, ending with the furthermost residences. Demographic and entomological data on sampled houses were compiled using standard data collection forms.

All identified water-holding containers, both inside and outside of homes, were visually examined for immature stages of mosquitoes. Adult mosquitoes were collected from households where suspected cases of DF originated and bordering villages by aspiration and pyrethrum spray sheet collection. Larval sampling covered the domestic and peri-domestic environments to estimate risk indices. In rural areas, water samples collected in plant leaf axils were inspected for larva and pupae of Aedes . All collected larvae, pupae, and adult mosquitoes were placed in labelled paper cups and transported to a temporary entomology laboratory in Kabridahar Hospital. Specimens in the juvenile aquatic stage were reared to adulthood and then identified to the species level [26]. The investigation team also observed the sanitation practices, water collection habits, drainage systems, and personal protection measures against mosquitoes.

Trained entomologists utilized key morphological characteristics to identify collected mosquito specimens to the genus level. Those identified as Aedes mosquitoes were identified to be of two species, Ae. aegypti and Ae. africanus , using a standard morphological identification key developed by Rueda, 2004 [26]. All hatched adults reared in the temporary laboratory were identified to the species level using this same methodology.

Analysis of the standard Aedes larval indices, such as house index (HI), container index (CI), and Breteau index (BI), were carried out. The HI is widely used for measuring population levels, while CI provides the proportion of water-holding containers that demonstrate larval activity. The BI is considered most informative as it establishes the relationship between the house itself and its associated positive containers [27]. The surveillance guidelines of China [28] reported the threshold for the control of dengue transmission at a BI output below 5, with values of 5–10 indicating a risk of transmission. BI readings of 10–20 and >20 were shown to be indicative of an outbreak, and regional epidemic, respectively. During an outbreak the outputs range of importance may reduce, as a BI of ≥ 4 has been shown to be predictive of transmission during such conditions [29].

The following formulas were used to determine these indices [30].

$\mathrm{H}\mathrm{I}=\frac{\mathrm{N}\mathrm{u}\mathrm{m}\mathrm{b}\mathrm{e}\mathrm{r}\phantom{\rule{0.25em}{0ex}}\mathrm{o}\mathrm{f}\phantom{\rule{0.25em}{0ex}}\mathrm{h}\mathrm{o}\mathrm{u}\mathrm{s}\mathrm{e}\mathrm{s}\phantom{\rule{0.25em}{0ex}}\mathrm{w}\mathrm{i}\mathrm{t}\mathrm{h}\phantom{\rule{0.25em}{0ex}}\mathrm{i}\mathrm{m}\mathrm{m}\mathrm{a}\mathrm{t}\mathrm{u}\mathrm{r}\mathrm{e}\phantom{\rule{0.25em}{0ex}}\mathrm{m}\mathrm{o}\mathrm{s}\mathrm{q}\mathrm{u}\mathrm{i}\mathrm{t}\mathrm{o}\mathrm{e}\mathrm{s}}{\mathrm{N}\mathrm{u}\mathrm{m}\mathrm{b}\mathrm{e}\mathrm{r}\phantom{\rule{0.25em}{0ex}}\mathrm{o}\mathrm{f}\phantom{\rule{0.25em}{0ex}}\mathrm{h}\mathrm{o}\mathrm{u}\mathrm{s}\mathrm{e}\mathrm{h}\mathrm{o}\mathrm{l}\mathrm{d}\mathrm{s}\phantom{\rule{0.25em}{0ex}}\mathrm{i}\mathrm{n}\mathrm{s}\mathrm{p}\mathrm{e}\mathrm{c}\mathrm{t}\mathrm{e}\mathrm{d}}×100$
$\mathrm{C}\mathrm{I}=\frac{\mathrm{N}\mathrm{u}\mathrm{m}\mathrm{b}\mathrm{e}\mathrm{r}\phantom{\rule{0.25em}{0ex}}\mathrm{o}\mathrm{f}\phantom{\rule{0.25em}{0ex}}\mathrm{w}\mathrm{a}\mathrm{t}\mathrm{e}\mathrm{r}\mathrm{‐}\mathrm{h}\mathrm{o}\mathrm{l}\mathrm{d}\mathrm{i}\mathrm{n}\mathrm{g}\phantom{\rule{0.25em}{0ex}}\mathrm{c}\mathrm{o}\mathrm{n}\mathrm{t}\mathrm{a}\mathrm{i}\mathrm{n}\mathrm{e}\mathrm{r}\mathrm{s}\phantom{\rule{0.25em}{0ex}}\mathrm{w}\mathrm{i}\mathrm{t}\mathrm{h}\phantom{\rule{0.25em}{0ex}}\mathrm{i}\mathrm{m}\mathrm{m}\mathrm{a}\mathrm{t}\mathrm{u}\mathrm{r}\mathrm{e}\phantom{\rule{0.25em}{0ex}}\mathrm{m}\mathrm{o}\mathrm{s}\mathrm{q}\mathrm{u}\mathrm{i}\mathrm{t}\mathrm{o}\mathrm{e}\mathrm{s}}{\mathrm{N}\mathrm{u}\mathrm{m}\mathrm{b}\mathrm{e}\mathrm{r}\phantom{\rule{0.25em}{0ex}}\mathrm{o}\mathrm{f}\phantom{\rule{0.25em}{0ex}}\mathrm{w}\mathrm{a}\mathrm{t}\mathrm{e}\mathrm{r}\mathrm{‐}\mathrm{h}\mathrm{o}\mathrm{l}\mathrm{d}\mathrm{i}\mathrm{n}\mathrm{g}\phantom{\rule{0.25em}{0ex}}\mathrm{c}\mathrm{o}\mathrm{n}\mathrm{t}\mathrm{a}\mathrm{i}\mathrm{n}\mathrm{e}\mathrm{r}\mathrm{s}}×100$
$\mathrm{B}\mathrm{I}=\frac{\mathrm{N}\mathrm{u}\mathrm{m}\mathrm{b}\mathrm{e}\mathrm{r}\phantom{\rule{0.25em}{0ex}}\mathrm{o}\mathrm{f}\phantom{\rule{0.25em}{0ex}}\mathrm{w}\mathrm{a}\mathrm{t}\mathrm{e}\mathrm{r}\mathrm{‐}\mathrm{h}\mathrm{o}\mathrm{l}\mathrm{d}\mathrm{i}\mathrm{n}\mathrm{g}\phantom{\rule{0.25em}{0ex}}\mathrm{c}\mathrm{o}\mathrm{n}\mathrm{t}\mathrm{a}\mathrm{i}\mathrm{n}\mathrm{e}\mathrm{r}\mathrm{s}\phantom{\rule{0.25em}{0ex}}\mathrm{w}\mathrm{i}\mathrm{t}\mathrm{h}\phantom{\rule{0.25em}{0ex}}\mathrm{i}\mathrm{m}\mathrm{m}\mathrm{a}\mathrm{t}\mathrm{u}\mathrm{r}\mathrm{e}\phantom{\rule{0.25em}{0ex}}\mathrm{m}\mathrm{o}\mathrm{s}\mathrm{q}\mathrm{u}\mathrm{i}\mathrm{t}\mathrm{o}\mathrm{e}\mathrm{s}}{\mathrm{N}\mathrm{u}\mathrm{m}\mathrm{b}\mathrm{e}\mathrm{r}\phantom{\rule{0.25em}{0ex}}\mathrm{o}\mathrm{f}\phantom{\rule{0.25em}{0ex}}\mathrm{h}\mathrm{o}\mathrm{u}\mathrm{s}\mathrm{e}\mathrm{h}\mathrm{o}\mathrm{l}\mathrm{d}\mathrm{s}\phantom{\rule{0.25em}{0ex}}\mathrm{i}\mathrm{n}\mathrm{s}\mathrm{p}\mathrm{e}\mathrm{c}\mathrm{t}\mathrm{e}\mathrm{d}}×100$

Results

A total of 101 DF suspected cases and 1 death were reported from the 10 villages of Kabridahar Town, with onset dates between May 12—May 31, 2017 (Fig 1). No cases were reported from the surrounding villages. The overall attack rate (AR) was 17/10,000 with a case-fatality rate (CFR) of 1%, with males making up the majority of cases (61%). The median age of DF suspected cases was 25 years (range: 4–65 years). Persons aged 15–45 were the most affected (AR = 30.3/10,000 population), followed by persons >45 years of age (AR = 28.2/10,000 population). The least-affected age group were those less than 5 years (AR = 1.4/10,000 population) followed by persons aged 5–14 years (AR = 16.7/10,000 population).

Fig 1
Daily Dengue Fever Cases and Climatic Factors–Kabridahar District, Korahay Zone, Somali region, Ethiopia, May to June, 2017.

The highest attack rate, 35 per 10,000 population, was seen in Village 07 and was followed by Village 01, with 23 per 10,000 (Fig 2A). The first cases appeared on May 12th in Village 07, the most population-dense of the villages. The index case, a male age 51, was on recorded May 12th in Village 07. The patient presented to a district hospital and recovered. DENV infection was later confirmed positive by RT-PCR. The patient had no travel history beyond Kabridahar Town and as a result, the investigation and response were initiated. Shortly after identification of the index case, infections appeared in all nine other villages in Kabridahar Town, with a concentration occurring in the four westernmost villages (01–04). The peak number of cases during the outbreak occurred on May 19th (Fig 1).

Fig 2
(A) Attack Rate (Cases per 10,000 population) by Village–Kabridahar Town (Villages 1–10), Kabridahar District, Korahay Zone, Somali region, Ethiopia, 2017. (B) Important Dengue Fever outbreak locations since first detected in Ethiopia in 2013. (Basemap obtained from https://www.worldofmaps.net/en/africa/map-ethiopia/satellite-map-ethiopia.htm and is compatible with CC BY licensing).Distribution of Dengue Fever.

All suspected cases had fever; other symptoms included joint pain (96%), myalgia (94%), headache (88%), retro-orbital pain (74%), and skin rash (33%). Laboratory testing was not available at the outbreak location and shipping specimens for outside analysis was often not feasible. As a result of these resource limitations, only 21 serum samples were able to be tested. From the subset of 21 suspected cases, 15 (72%) were positive for dengue virus serotype 2 (DENV 2) by RT-PCR. None of the samples tested positive for DENV 1, DENV 3, DENV 4, Zika virus, or Chikungunya virus. Five of the cases presented severe dengue warning signs, demonstrating epistaxis or gingival bleeding, and one of which presented with thrombocytopenia. Of these five cases, three were referred to Jijiga Regional Referral Hospital. In hospital, one patient, age 49, was treated with intravenous fluid therapy, electrolyte replacement and frequently monitored in an intensive care unit. This patient recovered without further complication and was discharged home. The remaining two patients, age 39 and 41, deteriorated hemodynamically and blood was transfused. The 39 years-old patient recovered post-transfusion without further complication and was discharged home, while the 41 years-old patient died. An autopsy was not conducted on the deceased patient to identify cause of death, however this patient, as well as the other 4 warning signs-presenting cases tested positive for dengue.

In the case-control study, results from bivariate and multivariate analyses are displayed in Table 1. Variables from the bivariate analysis with p-value <0.25 underwent further conditional multiple logistic regression. Outputs from this regression showed that having no formal education (AOR = 4.23; CI 1.60–11.17), having open containers inside and outside home (AOR = 3.02; CI 1.22–7.48), having larvae identified in household containers inside or outside the house (4.17; CI 1.66–10.51), and reporting daily wearing of short-sleeve t-shirts (AOR = 3.29; CI 1.29–8.39) increased the odds of being a suspected dengue cases, while long-lasting insecticidal net (LLITN) use the previous night (AOR = 0.21; CI 0.05–0.79) was protective (Table 1).

Table 1
Bivariate Conditional and Multivariable Logistic Regression Analysis: Socio-demographic Characteristics and Potential Risk and Protective factors for Dengue Fever (DF)—Kabridahar District, Korahay Zone, Somali region, Ethiopia, 2017.
Risk/Protective FactorCase (N = 50)Control (N = 100)COR (95%) CI)AOR (95% CI)*
Sex
Female (ref)
Male

16
34

35
65

1.14 (0.55–2.35)

Age group
0–14 years (ref)
15–44 years
≥45 years

4
40
61

9
74
17

1.22 (0.33–4.22)
0.79 (0.175–3.585)

Marital status
Single (ref)
Married

22
28

43
57

0.96 (0.48–1.90)

Ethnicity
Somali (ref)
Other

15
35

27
73

0.86 (0.40–1.82)

Occupation
Daily laborer (ref)
Government employee
Farmer pastoralist
House wife
Merchant
Other
Student

19
2
10
15
1
0
3

25
2
15
14
4
23
17

1.20 (0.15–9.48)
0.87 (0.30–2.53)
1.42 (0.51–3.91)
0.58 (0.05–6.67)
0
0.25 (0.06–1.0193)

Status of containers inside and outside home
Closed (ref)
Open

16
34

40
60

3.18 (1.55–6.52)

3.02 (1.22–7.48)
Own a LLITN
No (ref)
Yes

11
39

9
91

0.36 (0.134–0.913)

Use an LLITN
No (ref)
Yes

10
29

7
84

0.24 (0.08–0.69)

0.21 (0.05–0.79)
Formal education
Yes (ref)
No

13
37

54
46

3.34 (1.58–7.03)

4.23 (1.60–11.17)
Existence stagnant water around the home
No (ref)
Yes

45
5

94
6

1.74 (0.5–6.0)

Presence of larvae in the container
No (ref)
Yes

18
32

64
36

3.16 (1.55–6.41)

4.17 (1.66–10.51)
Travel history (Two weeks)
No (ref)
Yes

3
47

5
95

0.82 (0.18–3.59)

Household indoor residual spray (IRS) application (six months)
No (ref)
Yes

50
0

100
0

1.00

Clothing usually worn
Trousers/body full dress (ref)
Short and T-shirt

17
33

58
42

2.68 (1.32–5.43)

3.29 (1.29–8.39)
Mosquito repellent used on skin
No (ref)
Yes

42
8

73
27

0.51 (0.21–1.23)

Mosquito repellent used in the house
No (ref)
Yes

28
22

55
45

0.96 (0.48–1.9)

Sleeping inside screened windows or doors
No (ref)
Yes

27
23

47
53

0.75 (0.38–1.49)

Closed container: Tightly covered container, COR: crude odds ratio, AOR: adjusted odds ratio
*AOR calculated for significant CORs (p<0.25)

From May 14–27, 2017, a total of 136 houses were included in the entomologic survey. The remaining 14 houses were temporary shelters set up by the often-nomadic pastoralist community in the area. The team inspected 411 water-holding containers (average of 3 per house) and detected Ae. aegypti (n = 151) and Ae. africanus (n = 16) in 210 (51%) containers (CI = 51%) and 66 of 136 households (HI = 49%). Among the 136 homes inspected, immature mosquitoes were found in 210 water holding containers (BI = 154). Further detail from the entomological survey is shown in a supporting informational table (S1 Table). A majority (60%) of mosquito breeding sites identified were large containers, such as cement tanks (i.e., birka), jerry cans, and buckets; but breeding sites were also identified in discarded items (i.e. tins, plastic bottles, and tires), which were common in the affected communities.

In response to the epidemic, from May 15—June 17, 2017, we conducted an active case search, distributed long lasting insecticide-treated nets (LLITNs), collected discarded water-holding items, and initiated public health communication about DF in all affected villages and border areas. We also provided DF case-management training to healthcare providers at all health posts and health centers. Five days after starting these interventions, case counts began to fall, with the last case 10 days later (Fig 1). Rainfall also significantly declined just prior to, and throughout, the intervention, which more than likely also contributed to the reduction in case counts (Fig 1). A study in northwestern Ethiopia supports this idea. This study reported the highest prevalence of anti-DENV IgM seropositivity during the rainy monsoon and post-monsoon months, suggesting the importance of rainfall on DF transmission and supporting the idea of vector control during these water stagnation periods [21].

Discussion

Our investigation confirmed a dengue fever outbreak in Kabridahar Town, Somali Region, Ethiopia from May 12–31, 2017. This occurred following prior DF outbreaks in the Somali region in 2014 and the initial introduction of DF into Ethiopia in Dire Dawa City in 2013 [19] (Fig 2B). Since 2013, Ethiopia has reported more than 12,000 dengue fever cases, but this is likely an underestimate due to the lack of Ethiopian IDSR reporting requirements for DF, limited regional and national laboratory capability to confirm cases, and the remoteness of likely endemic areas [31]. This is further underlined by a study conducted in Borea, Ethiopia where acute febrile patients presenting to a hospital were tested serologically for anti-DENV antibodies. Of those tested 25% demonstrated antibodies against DENV infection [32]. This showed that not only is DF a potential threat in the area, but also that the true distribution of the disease in the country may be underestimated. A broader range, country-wide, serological risk assessment for DENV and other flaviviruses demonstrated less dire results, with only 0.5% of samples testing IgG positive for the virus. However, the study found that Ecological Zone 1, the zone into which Kabridahar falls, has a relatively elevated positivity rate for DENV antibodies with results showing 5.3% [33]. Although the outbreak in Kabridahar was unexpected, such information demonstrates a clear explanation, while provides a warning for further potential threats to the area.

Between 1960 and 2010, twenty laboratory-confirmed outbreaks were reported from fifteen African countries, with most occurring in East Africa. All four DENV serotypes (DENV 1,2,3,4) have been isolated in Africa, with DENV 2 reported to cause the most epidemics [13]. Blood sera from a subset of suspected cases from Kabridahar town were tested by RT-PCR for dengue virus, and if positive, for serotype. Positive samples were identified in 72% (15 of 21) of samples tested, all of which were shown to be Dengue serotype 2 (DENV 2). In addition to our study, a recent retrospective health facility-based study performed within Ethiopia’s Somali region also revealed DENV 2 circulation [19].

All identified DF cases within this investigation were limited to the urban villages of Kabridahar Town. The highest number of cases, as well as the highest house index (HI), container index (CI), and Breteau index (BI) all occurred in village 07, located in the center of Kabridahar Town. The highest attack rate was also observed in this village. These findings are consistent with other urban outbreaks which displayed similar patterns of disease [7,34]. The neighborhood-matched case-control study identified multiple factors which increased the odds of dengue infection, as well as a protective factor. Due to the strong entomological component of a dengue infection, the majority of these factors are vector related. Risk factors included a lack of formal education, open containers with Aedes larvae, and the wearing of short sleeve t-shirts, while reported use of LLITNs was found protective. A lack of formal education was shown to be significantly associated with the occurrence of DF (AOR = 4.23; CI 1.60–11.17), which is consistent with prior studies [12,31,32]. Previous studies within Ethiopia have also supported this idea. Knowledge of DF preventative measures was absent in approximately 75% of participants in one study [17], while another study showed 87% of participants were unaware of how the virus was transmitted [32]. This lack of education has even encompassed health-care professionals where one study concluded that the “knowledge attitude and practice of health-care professionals were not satisfactory towards dengue fever” [20]. It is quite clear that increasing the country-wide knowledge regarding dengue fever and its prevention could serve beneficial in reducing the future burden of this disease. It has been suggested that more-educated individuals may be more cautious and protective with regard to their immediate environment and health [11,34,35]. It can then be inferred that less-educated persons may be less aware of the importance of disposing or emptying containers that can be used as Aedes breeding sites. Education focused on management of standing water near households is warranted in this area.

It was also shown that a majority of DF cases were found in the male population (61%). Similar results were shown in prior studies conducted in Ethiopia and Ecuador [7,19,21,36]. Serological evidence from Borena, Ethiopia supports this as well, demonstrating males had a disproportionally higher rate of DENV IgG when compared to females, 30.1% to 15.4% respectively [32]. The outbreak occurred in a heavily Islamic area of Ethiopia–approximately 98% of the population in the region are Muslim–which may have influenced the gender imbalance in suspected cases. Islamic law requires females to cover their bodies, which may serve as a defensive layer from mosquito bites and an additional form of dengue protection when compared with their male counterparts. This explanation was also suggested as a result of a retrospective health facility-based dengue study in this same Somali Region [19]. Adding further support to this possibility, our study also revealed that those reporting daily wearing of short sleeve T-shirts had a higher likelihood to be a suspected case than those in full dress (AOR = 3.29; CI 1.29–8.39).

Both Aedes mosquito species identified in this study are strongly associated with DENV transmission, with Ae. africanus described as a competent vector in maintaining the rural dengue cycle, while Ae. aegypti is the main vector in urban areas [37,38]. Although Kabridahar Town is an urban environment, it boarded by a small forested area. The Ae. africanus specimens identified were obtained during the entomological larval surveillance of these rural areas. The unplanned urbanization in Kabridahar Town and resulting substandard housing, crowding, and deterioration in water, sewer, and waste management systems have all led to increased breeding habitats and may have contributed to subsequent vector and disease spread. Unplanned urbanization is known to be an important factor for anthropophilic Aedes expansion in sub-Saharan Africa [20], with Ae. aegypti proving most common in urban environments [39,40]. Open water containers which serve as optimal Aedes agypti oviposition sites were seen throughout the outbreak area, resulting in high CI and BI throughout all 9 villages. All of the indices investigated in our study proved significantly higher than those identified in a study conducted in northwest Ethiopia [41] and very similar to those from an entomological investigation that took place in Dire Dawa a year after the 2013 DF outbreak [7]. Both of these studies suggested a resulting high potential for arbovirus transmission. We obtained similar results, as the presence of these containers, both inside and outside the home, was shown to strongly predict dengue infection (Table 1). Uncovered water containers were also shown to be associated with DF and its associated vectors in multiple studies conducted within the county. The presence of such containers were associated with anti-dengue IgM/IgG antibodies [21], demonstrated to be an independent risk factor for the virus [17], and were shown to be common breeding habitats for the vector [41]. This presence of containers was especially evident in the most effected villages (01–04, 07). The Ae. aegypti burden and case counts were highest in the most densely populated section of Kabridahar Town (Village 07).

In response to this, vector control initiatives at oviposition sites, such as the removal of discarded water-holding items, proved effective in reducing the emergence of new adult Aedes. However, during these control efforts of the juvenile population, the residual adult Aedes population continued to blood feed, before dying off gradually. This is evidenced by the lag in reduction in DF cases after onset of the intervention (Table 1). Additionally, rainfall ceased for more than a month after the onset of the outbreak, which more than likely also contributed to the reduction in oviposition sites and subsequent reduction in emergent adults. Rainfall has long been associated with mosquito activity, and DENV transmission was found to be most active in portions of Ethiopia during monsoon and post-monsoon season [21]. Monthly DENV transmission trends remain limited in Ethiopia as a result of the only recent identification of the infection in country, however in the studies that cite this information, associations with consistent rainfall do suggest it to be of importance [19,21].

In response to this outbreak our team also distributed LLITNs. The use of LLITNs is a known method of reducing human-vector contact from multiple pathogens transmitted by night-biting mosquitoes [42], and was associated with protection from DF in our investigation. Similar findings were also shown regarding DF in Ethiopia and support our findings [17,21]. Female Ae. aegypti mosquitoes commonly enter houses at night seeking resting sites. The following morning the mosquito may search out a blood meal from the present household members [43]. Although Ae. aegypti are not a night-biting species, the anthropologic characteristics of this community resulted in protection via LLITNs. The response team observed residents of this community commonly participating in early morning and daytime sleeping to avoid the harsh weather associated with this region. As a result, protection from Ae. aegypti blood-feeding and possible viral transmission is provided by these nets during the daylight hours. Furthermore, the deployment of LLITN material as window curtains has also been proven to reduce indoor Ae.aegypti densities, and theoretically could reduce dengue transmission risk [44,45]. Other protections such as the use of mosquito repellent and indoor residual spraying (IRS) are well-established DF prevention approaches [5,46]. However, we failed to find a similar association in this outbreak. This failure may have been related to the limited access to, or the improper utilization of, repellents, as well as from the lack of IRS application in the prior 6 months.

The case-fatality rate from DF varies by location but can be >20% among those with severe dengue [1,47]. Although severe dengue can be seen in primary infections, this more commonly occurs among persons with prior DF infection of a different serotype (DENV 1,2,3,4) and predominantly among persons under 15 years of age [48]. The low severe dengue rate in this outbreak, along with the corresponding low case-fatality rate (1%), suggests a new introduction of DV into Kabridahar Town, and few, if any prior, infections among the population. Alternatively, it is equally possible that if there were prior dengue infections in the area, they were of this same DENV 2 serotype and therefore would not elicit severe dengue manifestations in the population. Serological testing would help further elucidate these ideas and is under consideration for future efforts. The mechanism of introduction of dengue virus in this area is unknown, but likely related to the travel of infected persons, as 95% of cases and controls reported traveling in the prior 2 weeks. Neighboring Godey Town, approximately 160 km to the southwest of Kabridahar Town, reported DF cases for 3 years prior (2014–2016) to the first infection recorded in Kabridahar (Fig 2B) [19]. It is suspected that the virus, and perhaps even the vector, may have been imported from this area via human movement.

This study did present some limitations. Scarce resources and the lack of a diagnostic laboratory in this rural community limited the ability to laboratory-confirm many of the suspected cases, as well as to ensure that the control population were not asymptomatic carriers. Instead, clinical diagnosis was employed to identify a portion of potential cases and controls. As a result, it is possible that some suspected cases in this study were in fact infected with different, similarly presenting, acute febrile illnesses. This possibility, in conjunction with possible asymptomatic control cases, may slightly impact significant statistical outputs. However, all statistically significant multivariate regression variables demonstrated extremely strong relationships to infection, and it is unlikely this lack of diagnostics would significantly alter the outputs. Additionally, we were only able to collect blood specimens from a portion of DF cases, and of those, some were collected outside the window to confirm DENV by RT-PCR. Further resource limitations at the laboratory level prevented the sequencing of identified positive samples. As of the publishing of this manuscript, there are no sequencing facilities or capacity within Ethiopia. Identifying the sequence of the circulating dengue strain would have proven valuable for tracking the movement and evolution of the virus, particularly if compared to samples from the prior outbreaks. All positive samples are stored at -80°C with the plan to undergo sequencing when such capacities are in place.

During this investigation, additional limitations presented themselves entomologically, as well as with data availability. It is possible that the sampled adult Aedes may not have represented the true composition of Kabridahar’s Aedes population during the time of investigation, as only a subset of households within this large community were entomologically investigated. We were also unable to isolate DENV from any of the adult Aedes mosquito specimens. Finally, we were unable to acquire a map of population denominators for the villages in the district, which prevented a more nuanced look at disease spread and attack rates.

Conclusion

Our epidemiological, entomological, and laboratory investigation confirmed a DF outbreak in Kabridahar Town. Higher odds of being a suspected DF case were seen among those without formal education, who wore short-sleeved shirts, and had exposure to open containers with larvae; LLITN provided DF protection. In the long term, we recommend improved vector surveillance and control programs, promoting best practices in preserving water, and disposal of containers in reducing Aedes density. Similar recommendations have been made as a result of previous DF investigations within Ethiopia [17,19,21], as well as in a continent-wide systematic review of DENV infection [15], and we echo these in an effort to prevent and manage future outbreaks. Additionally, healthcare worker education is recommended, which is also supported by findings from this same continent-wide systematic review [15]. This approach may lead to earlier identification of outbreaks, better case management, additional sample collection, and strengthened surveillance.

Acknowledgements

The authors wish to thank Ethiopian Public Health Institute, Public Health Emergency Management Directorate for logistical and technical support to carry out this investigation. They also would like to thank the Somali regional Health Bureau, Korahey Zonal Health Department, and Kabridahar District Health Offices for their facilitation during the investigation.

References

Fact sheet; Dengue and severe Dengue. 2019 [Internet]. World Health Organization. [cited 2019 Apr 14]. Available from: https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue.

NdengaBA, MutukuFM, NgugiHN, MbakayaJO, AswaniP, MusunzajiPS, et al Characteristics of Aedes aegypti adult mosquitoes in rural and urban areas of western and coastal Kenya. PLoS ONE [Internet]. 2017 12 1 [cited 2020 Sep 2];12(12). Available from: https://pubmed.ncbi.nlm.nih.gov/29261766/.

CookGC, ZumlaA. Manson’s tropical diseases. Elsevier Health Sciences; 2008.

BhattS, GethingPW, BradyOJ, MessinaJP, FarlowAW, MoyesCL, et al The global distribution and burden of dengue. Nature. 2013;496(7446):5047.

NathanMB, Dayal-DragerR, GuzmanM. Epidemiology, burden of disease and transmission. WHO Dengue Guidelines for Diagnosis, Treatment, Prevention and Control. 2009;121.

MessinaJP, BradyOJ, GoldingN, KraemerMUG, WintGRW, RaySE, et al The current and future global distribution and population at risk of dengue. Nature microbiology. 2019;4(9):150815.

GetachewD, TekieH, Gebre-MichaelT, BalkewM, MesfinA. Breeding sites of Aedes aegypti: potential dengue vectors in Dire Dawa, East Ethiopia. Interdisciplinary perspectives on infectious diseases. 2015;2015

DasM, GopalakrishnanR, KumarD, GayanJ, BaruahI, VeerV, et al Spatiotemporal distribution of dengue vectors & identification of high risk zones in district Sonitpur, Assam, India. The Indian journal of medical research. 2014;140(2):278

HeilmanJM, de WolffJ, BeardsGM, BasdenBJ. Dengue fever: a Wikipedia clinical review. Open medicine. 2014;8(4):e105

10

KonéAB, KonanYL, CoulibalyZI, FofanaD, Guindo-CoulibalyN, DialloM, et al Entomological evaluation of the risk of urban outbreak of yellow fever in 2008 in Abidjan, Côte d’Ivoire. Medecine et Sante Tropicales. 2013;23(1):6671.

11

KolawoleOM, SerikiAA, IrekeolaAA, OgahJI. The neglect and fast spread of some arboviruses: a note for healthcare providers in Nigeria. Diseases. 2018;6(4):99

12

LalaniT, YunH, TribbleD, GanesanA, KunzA, FairchokM, et al A comparison of compliance rates with anti-vectorial protective measures during travel to regions with dengue or chikungunya activity, and regions endemic for Plasmodium falciparum malaria. Journal of Travel Medicine. 2016;23(5).

13

AmarasingheA, KuritskyJN, LetsonGW, MargolisHS. Dengue virus infection in Africa. Emerging infectious diseases. 2011;17(8):1349

14

FagbamiAH, MonathTP, FabiyiA. Dengue virus infections in Nigeria: a survey for antibodies in monkeys and humans. Transactions of the Royal Society of Tropical Medicine and Hygiene. 1977;71(1):605.

15

SimoFBN, BignaJJ, KenmoeS, NdangangMS, TemfackE, MoundipaPF, et al Dengue virus infection in people residing in Africa: a systematic review and meta-analysis of prevalence studies. Scientific reports. 2019;9(1):19.

16

Ethiopia Steps Up Actions for Dengue Prevention and Control [Internet]. World Health Organization Africa. 2014 [cited 2019 Apr 14]. Available from: https://www.afro.who.int/news/ethiopia-steps-actions-dengue-prevention-and-control.

17

DegifeLH, WorkuY, BelayD, BekeleA, HailemariamZ. Factors associated with dengue fever outbreak in Dire Dawa administration city, October, 2015, Ethiopia-case control study. BMC public health. 2019;19(1):650

18

Health service delivery and quality of care [Internet]. Ministry of Health—Ethiopia. 2014 [cited 2019 Apr 13]. Available from: http://www.moh.gov.et/ejcc/en/node/1.

19

AhmedYM, SalahAA. Epidemiology of dengue fever in Ethiopian Somali region: retrospective health facility based study. Cent Afr J Public Health. 2016;2:516.

20

YusufAM, IbrahimNA. Knowledge, attitude and practice towards dengue fever prevention and associated factors among public health sector health-care professionals: In Dire Dawa, eastern Ethiopia. Risk Management and Healthcare Policy [Internet]. 2019 [cited 2020 Sep 2];12:91104. Available from: /pmc/articles/PMC6560185/?report = abstract.

21

FeredeG, TirunehM, AbateE, WondimenehY, DamtieD, GadisaE, et al A serologic study of dengue in northwest Ethiopia: Suggesting preventive and control measures. PLoS neglected tropical diseases. 2018;12(5):e0006430

22

Somali region, Kabridahar, Council Woredas Health Office Report. 2017.

23

Dengue Virus Infections 2015 Case Definition [Internet]. Centers for Disease Control and Prevention. 2015 [cited 2020 Aug 29]. Available from: https://wwwn.cdc.gov/nndss/conditions/dengue-virus-infections/case-definition/2015/.

24

Trioplex Real-time RT-PCR Assay [Internet]. 2017. Available from: https://www.cdc.gov/zika/pdfs/trioplex-real-time-rt-pcr-assay-instructions-for-use.pdf.

25

FTD Dengue differentiation [Internet]. 2020. Available from: http://www.fast-trackdiagnostics.com/human-line/products/ftd-dengue-differentiation/.

26

RuedaLM. Pictorial keys for the identification of mosquitoes (Diptera: Culicidae) associated with dengue virus transmission. Walter Reed Army Inst Of Research Washington Dc Department Of Entomology; 2004.

27

Organization WH, Research SP for, Diseases T in T, Diseases WHOrganizationD of C of NT, Epidemic WHOrganization, Alert P. Dengue: guidelines for diagnosis, treatment, prevention and control. World Health Organization; 2009.

28

LiuH, LiuL, ChengP, YangL, ChenJ, LuY, et al Bionomics and insecticide resistance of Aedes albopictus in Shandong, a high latitude and high-risk dengue transmission area in China. Parasites & Vectors. 2020;13(1):19.

29

SanchezL, CortinasJ, PelaezO, GutierrezH, ConcepciónD, van der StuyftP. Breteau Index threshold levels indicating risk for dengue transmission in areas with low Aedes infestation. Tropical Medicine & International Health. 2010;15(2):1735.

30

Vector Surveillance [Internet]. World Health Organization. 2019. Available from: https://www.who.int/denguecontrol/monitoring/vector_surveillance/en/.

31

BerhaneY, MariamDH, KloosH. Epidemiology and ecology of health and disease in Ethiopia. Shama books; 2006.

32

GeletaEN. Serological evidence of dengue fever and its associated factors in health facilities in the Borena Zone, South Ethiopia. Research and reports in tropical medicine. 2019;10:129

33

TsegayeMM, BeyeneB, AyeleW, AbebeA, TarekeI, SallA, et al Sero-prevalence of yellow fever and related Flavi viruses in Ethiopia: a public health perspective. BMC public health. 2018;18(1):1011

34

SoghaierMA, MahmoodSF, PashaO, AzamSI, KarsaniMM, ElmangoryMM, et al Factors associated with dengue fever IgG sero-prevalence in South Kordofan State, Sudan, in 2012: Reporting prevalence ratios. Journal of infection and public health. 2014;7(1):5461.

35

SaiedKG, Al-TaiarA, AltaireA, AlqadsiA, AlariqiEF, HassaanM. Knowledge, attitude and preventive practices regarding dengue fever in rural areas of Yemen. International health. 2015;7(6):4205.

36

KennesonA, Beltrán-AyalaE, Borbor-CordovaMJ, PolhemusME, RyanSJ, EndyTP, et al Social-ecological factors and preventive actions decrease the risk of dengue infection at the household-level: Results from a prospective dengue surveillance study in Machala, Ecuador. PLoS neglected tropical diseases. 2017;11(12):e0006150

37

ZahouliJBZ, KoudouBG, MüllerP, MaloneD, TanoY, UtzingerJ. Urbanization is a main driver for the larval ecology of Aedes mosquitoes in arbovirus-endemic settings in south-eastern Côte d’Ivoire. PLoS neglected tropical diseases. 2017;11(7):e0005751

38

Wilk-da-SilvaR, de Souza LealMMC, MarrelliMT, WilkeABB. Wing morphometric variability in Aedes aegypti (Diptera: Culicidae) from different urban built environments. Parasites & vectors. 2018;11(1):561

39

SanchezL, VanlerbergheV, AlfonsoL, del Carmen MarquettiM, GuzmanMG, BissetJ, et al Aedes aegypti larval indices and risk for dengue epidemics. Emerging infectious diseases. 2006;12(5):800

40

PaupyC, OllomoB, KamgangB, MoutaillerS, RoussetD, DemanouM, et al Comparative role of Aedes albopictus and Aedes aegypti in the emergence of Dengue and Chikungunya in central Africa. Vector-Borne and Zoonotic Diseases. 2010;10(3):25966.

41

FeredeG, TirunehM, AbateE, KassaWJ, WondimenehY, DamtieD, et al Distribution and larval breeding habitats of Aedes mosquito species in residential areas of northwest Ethiopia. Epidemiology and health. 2018;40

42

WilsonAL, DhimanRC, KitronU, ScottTW, van den BergH, LindsaySW. Benefit of insecticide-treated nets, curtains and screening on vector borne diseases, excluding malaria: a systematic review and meta-analysis. PLoS Negl Trop Dis. 2014;8(10):e3228

43

HarringtonLC, PonlawatA, EdmanJD, ScottTW, VermeylenF. Influence of container size, location, and time of day on oviposition patterns of the dengue vector, Aedes aegypti, in Thailand. Vector-Borne and Zoonotic Diseases. 2008;8(3):41524.

44

Loroño-PinoMA, García-RejónJE, Machain-WilliamsC, Gomez-CarroS, Nuñez-AyalaG, del Rosario Nájera-VázquezM, et al Towards a Casa Segura: a consumer product study of the effect of insecticide-treated curtains on Aedes aegypti and dengue virus infections in the home. The American journal of tropical medicine and hygiene. 2013;89(2):38597.

45

LenhartA, OrelusN, MaskillR, AlexanderN, StreitT, McCallPJ. Insecticide-treated bednets to control dengue vectors: preliminary evidence from a controlled trial in Haiti. Tropical Medicine & International Health. 2008;13(1):5667.

46

Indoor residual spraying: An operational manual for IRS for malaria transmission, control and elimination, 2nd Edition [Internet]. 2015. Available from: https://www.who.int/malaria/publications/atoz/9789241508940/en/.

48

Dengue [Internet]. World Health Organization. 2016. Available from: https://www.who.int/immunization/diseases/dengue/en/.

2 Jun 2020

Dear Mr. Gutu,

Thank you very much for submitting your manuscript "Another Dengue Fever Outbreak in Eastern Ethiopia – An Emerging Public Health Threat" for consideration at PLOS Neglected Tropical Diseases. As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. In light of the reviews (below this email), we would like to invite the resubmission of a significantly-revised version that takes into account the reviewers' comments.

Dear Authors,

Our apologies for this long process. It has been harder than usual to find reviewers and to get reviews in time.

I had to make the hard decision to unassign our third reviewer, as he was more than 15 days late.

We hope you will find the reviewers' comments useful.

Kind regards,

Elvina Viennet

We cannot make any decision about publication until we have seen the revised manuscript and your response to the reviewers' comments. Your revised manuscript is also likely to be sent to reviewers for further evaluation.

[1] A letter containing a detailed list of your responses to the review comments and a description of the changes you have made in the manuscript. Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.

[2] Two versions of the revised manuscript: one with either highlights or tracked changes denoting where the text has been changed; the other a clean version (uploaded as the manuscript file).

Please prepare and submit your revised manuscript within 60 days. If you anticipate any delay, please let us know the expected resubmission date by replying to this email. Please note that revised manuscripts received after the 60-day due date may require evaluation and peer review similar to newly submitted manuscripts.

Thank you again for your submission. We hope that our editorial process has been constructive so far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments.

Sincerely,

Elvina Viennet, PhD

Deputy Editor

PLOS Neglected Tropical Diseases

Francis Jiggins

Deputy Editor

PLOS Neglected Tropical Diseases

***********************

Dear Authors,

Our apologies for this long process. It has been harder than usual to find reviewers and to get reviews in time.

I had to make the hard decision to unassign our third reviewer, as he was more than 15 days late.

We hope you will find the reviewers' comments useful.

Kind regards,

Elvina Viennet

Reviewer's Responses to Questions

Key Review Criteria Required for Acceptance?

As you describe the new analyses required for acceptance, please consider the following:

Methods

-Are the objectives of the study clearly articulated with a clear testable hypothesis stated?

-Is the study design appropriate to address the stated objectives?

-Is the population clearly described and appropriate for the hypothesis being tested?

-Is the sample size sufficient to ensure adequate power to address the hypothesis being tested?

-Were correct statistical analysis used to support conclusions?

-Are there concerns about ethical or regulatory requirements being met?

Reviewer #1: The author described, the RT-PCR Assay provided by CDC. Stating this is not relevant.

Reviewer #2: The objectives of the study are clearly articulated and the study design is appropriate.

Correct statistical analysis were used to support conclusions

However, details of the laboratory methods are required to better undestand the outbreak.

--------------------

Results

-Does the analysis presented match the analysis plan?

-Are the results clearly and completely presented?

-Are the figures (Tables, Images) of sufficient quality for clarity?

Reviewer #1: Describe the relationship between rainfall and outbreak i.e. after how many weeks of rainfall end up/reduced did the outbreak started and the like.

The first sentence of the last paragraph said "In response to the epidemic, from May 15 – June 17, 2007". Is this year correct?

Reviewer #2: The analysis presented matches the analysis plan and the results are clearly but not completely presented as details on the index case is missing as well as details on the severe cases and/or death case together with their laboratory results.

Figure 2 should highlight the location of previous outbreaks.

--------------------

Conclusions

-Are the conclusions supported by the data presented?

-Are the limitations of analysis clearly described?

-Do the authors discuss how these data can be helpful to advance our understanding of the topic under study?

Reviewer #1: The recommendation of health care worker education is not supported by the findings in this study.

Reviewer #2: The conclusion are supported by the data presented and the limitations are clearly described.

The public health relevance of the study has been addressed. However, discussion of these data compare to other available and published data in the country is missing.

--------------------

Editorial and Data Presentation Modifications?

Use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity. If the only modifications needed are minor and/or editorial, you may wish to recommend “Minor Revision” or “Accept”.

Reviewer #1: (No Response)

Reviewer #2: A few major revisions are needed.

--------------------

Use this section to provide overall comments, discuss strengths/weaknesses of the study, novelty, significance, general execution and scholarship. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. If requesting major revision, please articulate the new experiments that are needed.

Reviewer #1: (No Response)

Reviewer #2: The study was overall well conducted although several major points need to be addressed. Authors are strongly advice to do sequencing of the circulating dengue strain as it is important for tracking the movement and evolution of these viruses.

--------------------

PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Reviewer #1: No

Reviewer #2: Yes: Maurice Demanou

Figure Files:

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org.

Data Requirements:

Please note that, as a condition of publication, PLOS' data policy requires that you make available all data used to draw the conclusions outlined in your manuscript. Data must be deposited in an appropriate repository, included within the body of the manuscript, or uploaded as supporting information. This includes all numerical values that were used to generate graphs, histograms etc.. For an example see here: http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001908#s5.

Reproducibility:

To enhance the reproducibility of your results, PLOS recommends that you deposit laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see https://journals.plos.org/plosntds/s/submission-guidelines#loc-methods

21 Sep 2020

11 Oct 2020

Dear Mr. Gutu,

Thank you very much for submitting your manuscript "Another Dengue Fever Outbreak in Eastern Ethiopia – An Emerging Public Health Threat" for consideration at PLOS Neglected Tropical Diseases. As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. The reviewers appreciated the attention to an important topic. Based on the reviews, we are likely to accept this manuscript for publication, providing that you modify the manuscript according to the review recommendations.

Please prepare and submit your revised manuscript within 30 days. If you anticipate any delay, please let us know the expected resubmission date by replying to this email.

[1] A letter containing a detailed list of your responses to all review comments, and a description of the changes you have made in the manuscript.

Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out

[2] Two versions of the revised manuscript: one with either highlights or tracked changes denoting where the text has been changed; the other a clean version (uploaded as the manuscript file).

Thank you again for your submission to our journal. We hope that our editorial process has been constructive so far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments.

Sincerely,

Elvina Viennet, PhD

Deputy Editor

PLOS Neglected Tropical Diseases

Francis Jiggins

Deputy Editor

PLOS Neglected Tropical Diseases

***********************

Reviewer's Responses to Questions

Key Review Criteria Required for Acceptance?

As you describe the new analyses required for acceptance, please consider the following:

Methods

-Are the objectives of the study clearly articulated with a clear testable hypothesis stated?

-Is the study design appropriate to address the stated objectives?

-Is the population clearly described and appropriate for the hypothesis being tested?

-Is the sample size sufficient to ensure adequate power to address the hypothesis being tested?

-Were correct statistical analysis used to support conclusions?

-Are there concerns about ethical or regulatory requirements being met?

Reviewer #1: The objective of the study is clearly stated. The study design is appropriate and the study population is described well. The sample size is sufficient to infer the findings. Correct statistical analysis computed.

Reviewer #2: (No Response)

--------------------

Results

-Does the analysis presented match the analysis plan?

-Are the results clearly and completely presented?

-Are the figures (Tables, Images) of sufficient quality for clarity?

Reviewer #1: The findings are presented clearly with good quality and clear tables and figures.

Reviewer #2: (No Response)

--------------------

Conclusions

-Are the conclusions supported by the data presented?

-Are the limitations of analysis clearly described?

-Do the authors discuss how these data can be helpful to advance our understanding of the topic under study?

Reviewer #1: The conclusions are based on the findings, limitations of the study and public health relevance stated well.

Reviewer #2: (No Response)

--------------------

Editorial and Data Presentation Modifications?

Use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity. If the only modifications needed are minor and/or editorial, you may wish to recommend “Minor Revision” or “Accept”.

Reviewer #1: (No Response)

Reviewer #2: (No Response)

--------------------

Use this section to provide overall comments, discuss strengths/weaknesses of the study, novelty, significance, general execution and scholarship. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. If requesting major revision, please articulate the new experiments that are needed.

Reviewer #1: (No Response)

Reviewer #2: (No Response)

--------------------

PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Reviewer #1: Yes: Mikias Alayu Alemu

Reviewer #2: Yes: Maurice Demanou

Figure Files:

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org.

Data Requirements:

Please note that, as a condition of publication, PLOS' data policy requires that you make available all data used to draw the conclusions outlined in your manuscript. Data must be deposited in an appropriate repository, included within the body of the manuscript, or uploaded as supporting information. This includes all numerical values that were used to generate graphs, histograms etc.. For an example see here: http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001908#s5.

Reproducibility:

To enhance the reproducibility of your results, PLOS recommends that you deposit laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see http://journals.plos.org/plosntds/s/submission-guidelines#loc-materials-and-methods

16 Nov 2020

17 Nov 2020

Dear Mr. Gutu,

We are pleased to inform you that your manuscript 'Another Dengue Fever Outbreak in Eastern Ethiopia – An Emerging Public Health Threat' has been provisionally accepted for publication in PLOS Neglected Tropical Diseases.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

Should you, your institution's press office or the journal office choose to press release your paper, you will automatically be opted out of early publication. We ask that you notify us now if you or your institution is planning to press release the article. All press must be co-ordinated with PLOS.

Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Neglected Tropical Diseases.

Best regards,

Elvina Viennet, PhD

Deputy Editor

PLOS Neglected Tropical Diseases

Francis Jiggins

Deputy Editor

PLOS Neglected Tropical Diseases

***********************************************************

12 Jan 2021

Dear Mr. Gutu,

We are delighted to inform you that your manuscript, "Another Dengue Fever Outbreak in Eastern Ethiopia – An Emerging Public Health Threat," has been formally accepted for publication in PLOS Neglected Tropical Diseases.

We have now passed your article onto the PLOS Production Department who will complete the rest of the publication process. All authors will receive a confirmation email upon publication.

The corresponding author will soon be receiving a typeset proof for review, to ensure errors have not been introduced during production. Please review the PDF proof of your manuscript carefully, as this is the last chance to correct any scientific or type-setting errors. Please note that major changes, or those which affect the scientific understanding of the work, will likely cause delays to the publication date of your manuscript. Note: Proofs for Front Matter articles (Editorial, Viewpoint, Symposium, Review, etc...) are generated on a different schedule and may not be made available as quickly.

Soon after your final files are uploaded, the early version of your manuscript will be published online unless you opted out of this process. The date of the early version will be your article's publication date. The final article will be published to the same URL, and all versions of the paper will be accessible to readers.

Thank you again for supporting open-access publishing; we are looking forward to publishing your work in PLOS Neglected Tropical Diseases.

Best regards,

co-Editor-in-Chief

PLOS Neglected Tropical Diseases

Paul Brindley

co-Editor-in-Chief

PLOS Neglected Tropical Diseases

This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Citing articles via
https://www.researchpad.co/tools/openurl?pubtype=article&doi=10.1371/journal.pntd.0008992&title=Another dengue fever outbreak in Eastern Ethiopia—An emerging public health threat&author=&keyword=&subject=Research Article,Biology and life sciences,Organisms,Viruses,RNA viruses,Flaviviruses,Dengue Virus,Biology and Life Sciences,Microbiology,Medical Microbiology,Microbial Pathogens,Viral Pathogens,Flaviviruses,Dengue Virus,Medicine and Health Sciences,Pathology and Laboratory Medicine,Pathogens,Microbial Pathogens,Viral Pathogens,Flaviviruses,Dengue Virus,Biology and Life Sciences,Organisms,Viruses,Viral Pathogens,Flaviviruses,Dengue Virus,Medicine and Health Sciences,Medical Conditions,Tropical Diseases,Neglected Tropical Diseases,Dengue Fever,Medicine and Health Sciences,Medical Conditions,Infectious Diseases,Viral Diseases,Dengue Fever,People and Places,Geographical Locations,Africa,Ethiopia,Medicine and Health Sciences,Medical Conditions,Infectious Diseases,Disease Vectors,Insect Vectors,Mosquitoes,Biology and Life Sciences,Species Interactions,Disease Vectors,Insect Vectors,Mosquitoes,Biology and Life Sciences,Zoology,Entomology,Insects,Mosquitoes,Biology and Life Sciences,Organisms,Eukaryota,Animals,Invertebrates,Arthropoda,Insects,Mosquitoes,Biology and Life Sciences,Zoology,Animals,Invertebrates,Arthropoda,Insects,Mosquitoes,Biology and Life Sciences,Zoology,Entomology,Medicine and Health Sciences,Medical Conditions,Infectious Diseases,Disease Vectors,Insect Vectors,Mosquitoes,Aedes Aegypti,Biology and Life Sciences,Species Interactions,Disease Vectors,Insect Vectors,Mosquitoes,Aedes Aegypti,Biology and Life Sciences,Zoology,Entomology,Insects,Mosquitoes,Aedes Aegypti,Biology and Life Sciences,Organisms,Eukaryota,Animals,Invertebrates,Arthropoda,Insects,Mosquitoes,Aedes Aegypti,Biology and Life Sciences,Zoology,Animals,Invertebrates,Arthropoda,Insects,Mosquitoes,Aedes Aegypti,Medicine and Health Sciences,Epidemiology,Medical Risk Factors,People and Places,Population Groupings,Ethnicities,African People,Somalian People,