Spatio-temporal evolution of the COVID-19 across African countries.

Bechir Naffeti, Sebastien Bourdin, Walid Ben Aribi, Amira Kebir, Slimane Ben Miled
Author Information
  1. Bechir Naffeti: Laboratory of BioInformatics, bioMathematics and bioStatistics, Institute Pasteur of Tunis, Tunis, Tunisia.
  2. Sebastien Bourdin: M��tis Lab, EM Normandie Business School, Le Havre, France.
  3. Walid Ben Aribi: Laboratory of BioInformatics, bioMathematics and bioStatistics, Institute Pasteur of Tunis, Tunis, Tunisia.
  4. Amira Kebir: Laboratory of BioInformatics, bioMathematics and bioStatistics, Institute Pasteur of Tunis, Tunis, Tunisia.
  5. Slimane Ben Miled: Laboratory of BioInformatics, bioMathematics and bioStatistics, Institute Pasteur of Tunis, Tunis, Tunisia.

Abstract

The aim of this study is to make a comparative study on the reproduction number computed at the beginning of each wave for African countries and to understand the reasons for the disparities between them. The study covers the two first years of the COVID-19 pandemic and for 30 African countries. It links pandemic variables, reproduction number , demographic variable, median age of the population, economic variables, and per capita, and climatic variables, mean temperature at the beginning of each waves. The results show that the diffusion of COVID-19 in Africa was heterogeneous even between geographical proximal countries. The difference of the basic reproduction number values is very large between countries and is significantly correlated with economic and climatic variables and temperature and to a less extent with the mean age of the population.

Keywords

References

  1. Am J Med Sci. 2020 Oct;360(4):348-356 [PMID: 32709397]
  2. Int J Infect Dis. 2020 Aug;97:278-282 [PMID: 32502664]
  3. Science. 2021 Jan 1;371(6524):27-28 [PMID: 33384364]
  4. Lancet Glob Health. 2020 Aug;8(8):e1003-e1017 [PMID: 32553130]
  5. Healthcare (Basel). 2021 Sep 22;9(10): [PMID: 34682927]
  6. Infect Med (Beijing). 2023 Jun;2(2):112-121 [PMID: 38013738]
  7. Biology (Basel). 2020 Mar 08;9(3): [PMID: 32182724]
  8. GeoJournal. 2023;88(1):1181-1188 [PMID: 35309019]
  9. Lancet. 2021 Apr 3;397(10281):1265-1275 [PMID: 33773118]
  10. Monaldi Arch Chest Dis. 2020 Jul 22;90(3): [PMID: 32696629]
  11. Heliyon. 2020 Dec;6(12):e05684 [PMID: 33344791]
  12. Sci Total Environ. 2020 Aug 10;729:138862 [PMID: 32361443]
  13. N Engl J Med. 2020 Jul 16;383(3):e11 [PMID: 32302075]
  14. Nat Med. 2021 Nov;27(11):2041-2047 [PMID: 34480125]
  15. BMJ Glob Health. 2020 Oct;5(10): [PMID: 33028699]
  16. Int J Infect Dis. 2020 Jun;95:301-303 [PMID: 32360939]
  17. Nature. 2020 Aug;584(7820):257-261 [PMID: 32512579]
  18. Arch Virol. 1976;51(4):263-73 [PMID: 987765]
  19. Environ Res. 2020 Dec;191:109938 [PMID: 32858479]
  20. Nature. 2020 Sep;585(7825):410-413 [PMID: 32365354]
  21. Lancet Infect Dis. 2020 Dec;20(12):1368-1370 [PMID: 32618281]
  22. Arch Dis Child. 2020 Jul;105(7):618-619 [PMID: 32371442]
  23. PLoS One. 2021 Jun 4;16(6):e0252400 [PMID: 34086731]
  24. Lancet Glob Health. 2020 Jul;8(7):e881-e883 [PMID: 32530422]
  25. Lancet Glob Health. 2020 May;8(5):e631-e632 [PMID: 32246918]
  26. PLoS Pathog. 2007 Oct 19;3(10):1470-6 [PMID: 17953482]

MeSH Term

Humans
COVID-19
Pandemics
SARS-CoV-2
Africa
African People