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The spatio-temporal epidemic dynamics of COVID-19 outbreak in Africa.
Gayawan, Ezra; Awe, Olushina O; Oseni, Bamidele M; Uzochukwu, Ikemefuna C; Adekunle, Adeshina; Samuel, Gbemisola; Eisen, Damon P; Adegboye, Oyelola A.
Afiliación
  • Gayawan E; Department of Statistics, Federal University of Technology, Akure, Nigeria.
  • Awe OO; Population Study Center (NEPO), Universidade Estadual de Campinas, Campinas, Brazil.
  • Oseni BM; Department of Mathematics, Anchor University, Lagos, Nigeria.
  • Uzochukwu IC; Institute of Mathematics and Statistics, Federal University of Bahia (UFBA), Salvador, Brazil.
  • Adekunle A; Department of Statistics, Federal University of Technology, Akure, Nigeria.
  • Samuel G; Faculty of Pharmaceutical Sciences, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.
  • Eisen DP; Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, Australia.
  • Adegboye OA; Department of Demography and Social Statistics, Covenant University, Ota, Nigeria.
Epidemiol Infect ; 148: e212, 2020 09 02.
Article en En | MEDLINE | ID: mdl-32873352
ABSTRACT
Corona virus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first detected in the city of Wuhan, China in December 2019. Although, the disease appeared in Africa later than other regions, it has now spread to virtually all countries on the continent. We provide early spatio-temporal dynamics of COVID-19 within the first 62 days of the disease's appearance on the African continent. We used a two-parameter hurdle Poisson model to simultaneously analyse the zero counts and the frequency of occurrence. We investigate the effects of important healthcare capacities including hospital beds and number of medical doctors in different countries. The results show that cases of the pandemic vary geographically across Africa with notably high incidence in neighbouring countries particularly in West and North Africa. The burden of the disease (per 100 000) mostly impacted Djibouti, Tunisia, Morocco and Algeria. Temporally, during the first 4 weeks, the burden was highest in Senegal, Egypt and Mauritania, but by mid-April it shifted to Somalia, Chad, Guinea, Tanzania, Gabon, Sudan and Zimbabwe. Currently, Namibia, Angola, South Sudan, Burundi and Uganda have the least burden. These findings could be useful in guiding epidemiological interventions and the allocation of scarce resources based on heterogeneity of the disease patterns.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Betacoronavirus Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Epidemiol Infect Asunto de la revista: DOENCAS TRANSMISSIVEIS / EPIDEMIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Nigeria

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Betacoronavirus Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Epidemiol Infect Asunto de la revista: DOENCAS TRANSMISSIVEIS / EPIDEMIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Nigeria