| Literature DB >> 35392328 |
Henshaw Uchechi Okoroiwu1,2, Christopher Ogar Ogar2, Dennis Akongfe Abunimye3, Ifeyinwa Maryann Okafor2, Ikenna Kingsley Uchendu3.
Abstract
Background: The coronavirus disease 2019 (COVID-19) is a highly contagious and pathogenic viral disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Since it was first reported in Wuhan, China, it has spread across the continents. The study is aimed at describing epidemiological indices of COVID-19 as reported by the World Health Organization and to examine correlations with some country specific measures of general health status.Entities:
Keywords: COVID-19; COVID-19 in Africa; Coronavirus; SARS-Cov-2
Mesh:
Year: 2021 PMID: 35392328 PMCID: PMC8968369 DOI: 10.4314/ejhs.v31i6.2
Source DB: PubMed Journal: Ethiop J Health Sci ISSN: 1029-1857
Account and epidemiological indices of COVID-19 and some health-related metrics among the WHO African region countries up to September 8, 2020
| Country | Confirmed | Deaths | % of all | Attack | Case | Date of | Transmission | Route of index case | Population | GHS-I | Health exp. |
| Algeria | 46653 | 1562 | 6.73 | 108.46 | 3.35 | Feb. 25 | CT | Italy | 43851044 | 23.6 | 6.37 |
| Angola | 2981 | 120 | 0.52 | 10.19 | 4.03 | March 21 | Clusters | Portugal | 32866272 | 25.2 | 2.79 |
| Benin | 2213 | 40 | 0.17 | 17.72 | 1.81 | March, 16 | CT | Burkina Faso | 12123200 | 28.8 | 3.72 |
| Burkina Faso | 1452 | 55 | 0.24 | 7.03 | 3.79 | March, 9 | CT | France | 20903273 | 30.1 | 6.92 |
| Botswana | 2126 | 9 | 0.04 | 86.79 | 0.42 | March 30 | Clusters | UK, Thailand. | 2351627 | 31.1 | 6.13 |
| Burundi | 466 | 1 | 0.00 | 3.54 | 0.21 | March 31 | Clusters | Rwanda, Dubai. | 11890784 | 22.8 | 7.52 |
| Cameroon | 19848 | 415 | 1.79 | 71.18 | 2.09 | March, 6 | CT | France | 26545863 | 34.4 | 4.67 |
| Cape Verde | 4358 | 42 | 0.18 | 788.99 | 0.96 | March, 20 | Clusters | UK | 555987 | 29.3 | 5.17 |
| Chad | 1040 | 79 | 0.34 | 4.61 | 7.60 | March, 19 | CT | Cameroon | 16425864 | 28.8 | 4.49 |
| CAR | 4729 | 62 | 0.27 | 22.81 | 1.31 | March, 14 | CT | Italy | 4829767 | 27.3 | 5.82 |
| Congo | 4891 | 114 | 0.49 | 82.20 | 2.33 | March, 14 | CT | France | 5518087 | 23.6 | 2.93 |
| Comoros | 448 | 7 | 0.03 | 50.73 | 1.56 | April 30 | CT | France | 869601 | 27.2 | 7.38 |
| Cote d'Ivoire | 18701 | 119 | 0.51 | 73.05 | 0.64 | March, 11 | CT | Italy | 26378274 | 35.5 | 4.45 |
| DRC | 10233 | 260 | 1.12 | 10.88 | 2.54 | March, 10 | CT | France | 89561403 | 26.5 | 3.98 |
| Equatorial | 4985 | 83 | 0.36 | 515.11 | 1.66 | March, 14 | CT | Spain | 1402985 | 16.2 | 3.11 |
| Eritrea | 330 | 0 | 0.00 | 5.56 | 0.00 | March, 21 | Sporadic | Norway | 3546421 | 22.4 | 2.87 |
| Eswatini | 4884 | 94 | 0.40 | 359.36 | 1.92 | March, 14 | CT | USA, Lesotho | 1160164 | 31.1 | 6.93 |
| Ethiopia | 59648 | 933 | 4.02 | 52.86 | 1.56 | March, 13 | CT | Japan | 114963588 | 40.6 | 3.50 |
| Gabon | 8608 | 53 | 0.23 | 449.31 | 0.62 | March, 12 | CT | France | 2225734 | 20.0 | 2.78 |
| Gambia | 3196 | 99 | 0.43 | 136.83 | 3.10 | March, 17 | CT | UK | 2416668 | 25.2 | 3.28 |
| Ghana | 44777 | 283 | 1.22 | 146.63 | 0.63 | March, 12 | CT | Norway, Turkey | 31072940 | 35.5 | 3.26 |
| Guinea | 9816 | 62 | 0.27 | 68.39 | 0.63 | March, 13 | CT | Belgium | 13132796 | 32.7 | 4.12 |
| Guinea Bissau | 2245 | 38 | 0.16 | 105.97 | 1.69 | March, 25 | CT | Congo, India | 1968001 | 20.0 | 7.24 |
| Kenya | 35205 | 599 | 2.58 | 67.29 | 1.70 | March, 13 | CT | USA | 53771296 | 47.1 | 4.80 |
| Liberia | 1311 | 82 | 0.35 | 25.73 | 6.25 | March, 16 | CT | Switzerland | 5057681 | 35.1 | 8.16 |
| Lesotho | 1164 | 31 | 0.13 | 51.71 | 2.66 | May, 13 | Clusters | South Africa, Saudi | 2142249 | 30.2 | 8.76 |
| Madagascar | 15352 | 202 | 0.87 | 55.23 | 1.32 | March, 20 | CT | France, Mauritius, | 27691018 | 40.1 | 5.50 |
| Mali | 2870 | 127 | 0.55 | 13.98 | 4.43 | March, 25 | CT | France | 20250833 | 29.0 | 3.79 |
| Mauritania | 7164 | 160 | 0.69 | 157.58 | 2.23 | March, 13 | CT | Europe | 4649658 | 27.5 | 4.40 |
| Mauritius | 356 | 10 | 0.04 | 27.57 | 2.81 | March, 18 | Sporadic | Belgium | 1271768 | 34.9 | 5.72 |
| Malawi | 5621 | 176 | 0.76 | 28.11 | 3.13 | April, 2 | CT | India | 19129952 | 28.0 | 9.65 |
| Mozambique | 4557 | 27 | 0.12 | 14.24 | 0.59 | March, 22 | CT | UK | 31255435 | 28.1 | 4.94 |
| Niger | 1178 | 69 | 0.29 | 3.24 | 5.86 | March, 19 | Clusters | Togo | 24206644 | 32.2 | 7.74 |
| Nigeria | 55160 | 1061 | 4.57 | 26.62 | 1.92 | Feb. 27 | CT | Italy | 207151803 | 37.8 | 3.76 |
| Namibia | 8810 | 91 | 0.39 | 321.09 | 1.03 | March, 14 | CT | Spain | 2540905 | 35.6 | 8.55 |
| Rwanda | 4409 | 19 | 0.08 | 33.61 | 0.43 | March, 14 | Clusters | India | 12952218 | 34.2 | 6.57 |
| Sao Tome & | 898 | 15 | 0.06 | 426.37 | 1.67 | April, 6 | Clusters | † | 219157 | 17.7 | 6.23 |
| Senegal | 13987 | 290 | 1.23 | 80.14 | 2.07 | March, 2 | CT | France | 16743927 | 37.9 | 4.13 |
| Seychelles | 135 | 0 | 0.00 | 136.52 | 0.00 | March, 14 | Sporadic | Italy | 98347 | 31.9 | 5.01 |
| Sierra Leone | 2055 | 71 | 0.31 | 28.86 | 3.45 | March 31 | CT | France | 7976983 | 38.2 | 13.42 |
| South Africa | 639,362 | 15004 | 64.64 | 1127.67 | 2.35 | March, 5 | CT | Italy | 59308690 | 54.8 | 8.11 |
| South Sudan | 2552 | 49 | 0.21 | 17.2 | 1.92 | April, 5 | CT | Netherlands | 11193725 | 21.7 | 9.76 |
| Togo | 1488 | 32 | 0.14 | 18.01 | 2.15 | March, 6 | CT | France, Benin Germany Turkey | 8278724 | 32.5 | 6.20 |
| Uganda | 3776 | 44 | 0.19 | 7.7 | 1.17 | March, 22 | Clusters | Dubai | 45741007 | 44.3 | 6.19 |
| United Rep. of | 509 | 21 | 0.09 | 0.79 | 4.13 | March, 16 | CT | Belgium | 59734218 | 36.4 | 3.65 |
| Zambia | 12836 | 295 | 1.27 | 67.85 | 2.3 | March, 18 | CT | France | 18,383955 | 28.7 | 4.47 |
| Zimbabwe | 7116 | 208 | 0.89 | 40.78 | 2.92 | March, 21 | CT | UK | 14862924 | 38.2 | 6.64 |
Afri: African, UK: United Kingdom, CT: Community transmission, CAR: Central African Republic, DRC: Democratic Republic of Congo, Rep: Republic; GDP: Gross domestic product, GHS-I: Global health security index, †: Country not disclosed. All dates refer to 2021
Description of the index cases of the various countries studied
| Country | Description of index case | Country | Description of index case | Country | Description of index case |
| Algeria | An Italian who arrived the country on February | Eswatini | A 33 year-old female with travel history from | Niger | A 36 year-old Nigerian man. He had travelled to |
| Angola | Two persons returning from Portugal on March | Ethiopia | Japanese who travelled from Japan to Burkina | Nigeria | An Italian man who flew from Milan Italy to |
| Benin | A 49 year- old Burkinabe citizen who entered | Gabon | A 27 year old Gabonese man who had recently | Namibia | The two cases were a Romanian couple who |
| Burkina | Husband and wife, had recently returned to | Gambia | A woman in her thirties who had travelled to | Rwanda | An Indian citizen who arrived from Mumbai, |
| Botswana | 2 males and 1 female who travelled to UK and | Ghana | The two patients who tested positive for the | Sao Tome & | 4 cases reported at once without disclosure of |
| Burundi | A Burundian returning from Rwanda: A | Guinea | An employee of EU delegation to Guinea who | Senegal | A French national and a resident of Senegal who |
| Cameroon | A 58 year-old French national who arrived in 2020. | Guinea | The first two confirmed cases were: a | Seychelles | The two cases were Seychellois who returned |
| Cape Verde | A 62 year-old British national who arrived on | Kenya | A 27 year old Kenyan woman who returned from the | Sierra | A 37 year-old man who travelled from |
| Chad | A Moroccan national who had travelled to | Liberia | Liberian government official who returned from | South | A South African national who returned |
| Central Afri. | A 74 year-old Italian man who returned to | Lesotho | A positive result from Lesotho citizen travelers among | South | A 29 year-old United Nations staff |
| Congo | A 50 year-old Franco-Congolese national who | Madagascar | 3 cases: A 41 year-old Malagasy citizen returning from | Togo | A 42 year-old female Togolese who |
| Comoros | A 50 year-old Franco-Comorian who has since | Mali | 2 Malian nationals that returned from France on 12th and | Uganda | A 36 year-old Ugandan male who |
| Cote d'Ivoire | A 45 year-old Ivorian man who went to the | Mauritania | The case is an expatriate from a yet to be disclosed | United Rep. | A 46 year-old female Tanzanian who |
| Democratic | The patient is a Congolese citizen who returned | Mauritius | 3 cases: A 52 year-old man who had dual Belgian and | Zambia | The two cases were a couple that had |
| Equatorial | A 43 year-old woman in Malabo, who returned | Malawi | The 3 cases include a Malawian of Asian origin who | Zimbabwe | A 43 year-old tourist who travelled back |
| Eritrea | An Eritrean national arriving Asmara in Eritrea | Mozambique | A 75 year-old man who had recently returned from |
Figure 1Diagrammatic representation of COVID-19 case distribution in the studied area.
Summary of top 10 countries in the various COVID-19 epidemiological indices
| COVID-19 epidemiological indices | ||||||||
|
| ||||||||
| Rank | Confirmed cases | Deaths (% of all deaths) | Case fatality rate | Attack rate | ||||
| 1st | South Africa | 639,362 | South Africa | 15,004(64.64) | Chad | 7.60 | South | 1,127.67 |
| 2nd | Ethiopia | 59,648 | Algeria | 1,562 (6.73) | Liberia | 6.25 | Cape | 788.99 |
| 3rd | Nigeria | 55,160 | Nigeria | 1,061 (4.57) | Niger | 5.86 | Equatorial | 515.11 |
| 4th | Algeria | 46,653 | Ethiopia | 933 (4.02) | Mali | 4.43 | Gabon | 449.31 |
| 5th | Ghana | 44,777 | Kenya | 599 (2.58) | United Rep. | 4.13 | Sao Tome | 426.37 |
| 6th | Kenya | 35,205 | Cameroon | 415 (1.79) | Angola | 4.03 | Eswatini | 359.36 |
| 7th | Cameroon | 19,848 | Zambia | 295 (1.27) | Burkina | 3.79 | Namibia | 321.09 |
| 8th | Madagascar | 15,352 | Senegal | 290 (1.23) | Sierra Leone | 3.45 | Ghana | 146.63 |
| 9th | Senegal | 13,987 | Ghana | 283 (1.22) | Algeria | 3.35 | Gambia | 136.83 |
| 10th | Zambia | 12,836 | Dem. Rep. | 260(1.12) | Malawi | 3.13 | Seychelles | 136.52 |
Stratification of various African countries and the corresponding country of origin of index case
| Country of origin of | No. of countries | Countries affected | Route |
| Italy | 6 | Algeria, Cote d'Ivoire, South Africa, | Intercontinental |
| Portugal | 1 | Angola | Intercontinental |
| Burkina Faso | 1 | Benin | Intracontinental |
| France | 11 | Burkina Faso, Cameroon, Congo, | Intercontinental |
| UK | 5 | Botswana, Cape Verde, Gambia, Zimbabwe, Mozambique | Intercontinental |
| Dubai | 2 | Burundi, Uganda | Intercontinental |
| Cameroon | 1 | Chad | Intracontinental |
| Spain | 2 | Equatorial Guinea, Namibia | Intercontinental |
| Norway | 2 | Eritrea, Ghana | Intercontinental |
| USA | 2 | Eswatini | Intercontinental |
| Lesotho | 1 | Eswatini | Intracontinental |
| Japan | 1 | Ethiopia | Intercontinental |
| Turkey | 1 | Togo | Intercontinental |
| Belgium | 3 | Guinea, Mauritius, United Republic of | Intercontinental |
| Congo | 1 | Guinea Bissau | Intracontinental |
| Switzerland | 1 | Liberia | Intercontinental |
| South Africa | 1 | Lesotho | Intracontinental |
| Saudi Arabia | 1 | Lesotho | Intercontinental |
| Mauritius | 1 | Madagascar | Intracontinental |
| India | 2 | Malawi, Rwanda | Intercontinental |
| Togo | 1 | Niger | Intracontinental |
| Netherlands | 1 | South Sudan | Intercontinental |
| Germany | 1 | Togo | Intercontinental |
| Rwanda | 1 | Burundi | Intracontinental |
More than 1 travel history
Figure 2Chronological order of COVID-19 index case record of the various countries in WHO African region.
Correlation results of some epidemiological indices and health service indicators
| Correlated variables | Pearson correlation coefficient | P-value |
| Cumulative confirmed cases Vs GHSI | 0.519 | <0.01 |
| Confirmed cases Vs Health Expenditure | 0.120 | 0.422 |
| Cumulative deaths Vs GHSI | 0.495 | <0.01 |
| Cumulative deaths Vs Health Expenditure | 0.142 | 0.342 |
| Cumulative fatality rate Vs GHSI | 0.035 | 0.816 |
| Cumulative fatality rate Vs Health Expenditure | 0.113 | 0.450 |
| Attack rate Vs GHSI | 0.177 | 0.239 |
| Attack rate Vs Health Expenditure | 0.024 | 0.873 |
Note: GHSI: Global health security index, Vs: versus