Indian Journal of Medical Sciences
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Global COVID-19 snapshot with focus on top five
Volume: 72 , Issue: 1
Doi: 10.25259/IJMS_42_2020
Parikh, Gulia, and Talele: Global COVID-19 snapshot with focus on top five

This is a pictorial snapshot of some key features of the COVID-19 global pandemic.[1]

On April 11, 2020, there were about 17,00,000 COVID-19 positive cases globally. A total of 210 countries and two ships in international waters have reported the presence of COVID-19 infected human beings. Figure 1 shows the number of countries with more than 1000, 5000, 10,000, and 100,000 cases.

The number of countries with more than 1000, 5000, 10,000 and 100,000 cases.
Figure 1:
The number of countries with more than 1000, 5000, 10,000 and 100,000 cases.

Figure 2 is a graphic representation of the top five countries (highest number of COVID-19 patients reported).

A graphic representation of the top 5 countries (highest number of COVID-19 patients reported).
Figure 2:
A graphic representation of the top 5 countries (highest number of COVID-19 patients reported).

Table 1 shows the total number of cases as well as cases per one million populations in the top five countries. These figures are also compared with China (rank 6) and India (rank 22).

Table 1:
Total number of COVID-19 cases in the top five countries
RankCountryNo. of casesCases/million population
1USA502,8761519
2Spain158,2733385
3Italy147,5772441
4France124,8691913
5Germany122,1711458
6China81,95357
22India76006

Table 2 shows the top five countries with the highest density of COVID-19 positivity per one million of their population.

Table 2:
Top five countries with the highest density of COVID-19 positive cases
S. No.CountryCases/1 million population
1.San Marino10,138
2.Vatican9,988
3.Andorra7,778
4.Iceland4,909
5.Luxembourg5,149

Table 3 shows the top five countries with the highest number of tests/1 million of their population and compares that to the number of cases in those countries.

Table 3:
Top five countries with the highest number of COVID-19 cases per tests in their population
S. No.CountryTests/1 million populationCases/1 millionpopulation
1.Faeroe Islands110,6773766
2.Iceland100,0024909
3.UAE59,967340
4.Gibraltar45,7993770
5.Luxembourg45,1665149

Table 4 shows the top five countries with the highest number of deaths per 1 million of their population.

Table 4:
Top five countries with the highest number of deaths per one million of their population
S. No.CountryDeaths/1 million populationTotal no. ofdeaths
1.San Marino100234
2.Spain34416081
3.Andorra33726
4.Italy31218849
5.Belgium2603019

Table 5 compares incidence and deaths with the same parameters per 1 million of their population – in the top five countries. This is also compared to the corresponding figures in China and India.

Table 5:
Comparison of incidence and deaths of COVID-19 patients per one million of their population - in the top five countries
RankCountryNo. of CasesNo. of DeathsCases/million populationDeaths/million population
1USA502,87618,747151957
2Spain158,27316,0813385344
3Italy147,57718,8492441312
4France124,86913,1971913202
5Germany122,1712,736145833
6China81,9533,339572
22India760024960.2

Table 6 shows compare the number of cases to the number who recovered as well as shows the percentage of patients who recovered among the top five countries. These figures are also compared with those of China and India. Figure 3 shows the number of positive cases and deaths due to COVID-19 in SAARC nations.

COVID-19 South Asia.
Figure 3:
COVID-19 South Asia.
Table 6:
Comparison of COVID-19 recovered patients among the top five countrie
RankCountryNo. of casesRecoveredCases/million population% recovered
1USA502,87627,31415195.4
2Spain158,27355,668338535.2
3Italy147,57730,455244120.6
4France124,86924,932191320.0
5Germany122,17153,913145844.1
6China81,95377,5255794.6
22India7600774610.2

Table 7 compares the COVID-19 figures in South Asian countries.

Table 7:
Comparison of COVID-19 incidence and deaths in South Asian countries
S. No.CountryCasesDeathsPer 1 million population
TestsCasesDeaths
1.India7600249137060.2
2.Pakistan469566248210.3
3.Afghanistan52115NA134
4.Bangladesh4242745030.2
5.Mauritius318952922507
6.Sri Lanka1907152090.3
7.Myanmar273260.50.06
8.Maldives190NA350
9.Nepal901210.30
10.Bhutan50151160

We hope that this graphic and tabular presentation of the data will allow better comparison and understanding. This will also facilitate the evaluation of trends and future predictions, enabling concerned stakeholders to better plan their next steps.

Notes

How to cite this article:: Parikh P, Gulia A, Talele A. Global COVID-19 snapshot with focus on top five. Indian J Med Sci 2020;72(1):35-8.

Declaration of patient consent

Patient’s consent not required as there are no patients in this study.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

References

1. 

Available from: https://www.worldometers.info/coronavirus [Last accessed on 2020 Apr 11]

https://www.researchpad.co/tools/openurl?pubtype=article&doi=10.25259/IJMS_42_2020&title=Global COVID-19 snapshot with focus on top five&author=Purvish Parikh,Ashish Gulia,Avinash Talele,&keyword=&subject=Pictorial Update,