Evidence map›Paper›PMID 32873352›Full record

ArticleEpidemiology and infection2020

The spatio-temporal epidemic dynamics of COVID-19 outbreak in Africa.

Ezra Gayawan, Olushina O Awe, Bamidele M Oseni, Ikemefuna C Uzochukwu, Adeshina Adekunle, Gbemisola Samuel, Damon P Eisen, Oyelola A Adegboye

Abstract read
In one paragraph

Article in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022
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  15. Spatial and Temporal Analysis of COVID-19 Cases in West Java, Indonesia and Its Influencing Factors.International journal of environmental research and public health · 2023
    Article
  16. Determinants of COVID-19 cases and deaths in OECD countries.Zeitschrift fur Gesundheitswissenschaften = Journal of public health · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ezra GayawanDepartment of Statistics, Federal University of Technology, Akure, Nigeria.ORCID 0000-0001-7702-4586
Olushina O AweDepartment of Mathematics, Anchor University, Lagos, Nigeria.
Bamidele M OseniDepartment of Statistics, Federal University of Technology, Akure, Nigeria.ORCID 0000-0002-7608-1930
Ikemefuna C UzochukwuFaculty of Pharmaceutical Sciences, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.
Adeshina AdekunleAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, Australia.
Gbemisola SamuelDepartment of Demography and Social Statistics, Covenant University, Ota, Nigeria.
Damon P EisenAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, Australia.
Oyelola A AdegboyeAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, Australia.ORCID 0000-0002-9793-8024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BetacoronavirusAfricaCoronavirus InfectionsCOVID-19Disease OutbreaksHumansPandemicsPneumonia, ViralPoisson DistributionSARS-CoV-2AfricaBayesian analysisCOVID-19hurdle Poissonspatial analysis

Identifiers

PMID32873352
PMCPMC7506177

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.