Evidence map›Paper›PMID 32528234›Full record

ReviewTheScientificWorldJournal2020

Nigeria and Italy Divergences in Coronavirus Experience: Impact of Population Density.

Emmanuel O Amoo, Olujide Adekeye, Adebanke Olawole-Isaac, Fagbeminiyi Fasina, Paul O Adekola, Gbemisola W Samuel, Moses A Akanbi, Muyiwa Oladosun, Dominic E Azuh

Open access · goldAbstract readComparative StudyReview
PubMed Full text at PMC Publisher
In one paragraph

Review in TheScientificWorldJournal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 19% of its field
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

13 citing papers in PubMed, 30 citations in OpenAlex.

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  13. North-South Divide in the Distribution of Medical Schools in Nigeria: A Tale of Internal Inequity.Nigerian medical journal : journal of the Nigeria Medical Association
    Review
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

9 authors at 1 institution in 1 country.

Emmanuel O AmooDemography and Social Statistics, College of Business and Social Sciences, Covenant University, Ota, Ogun State, Nigeria.ORCID https://orcid.org/0000-0001-5568-2115
Olujide AdekeyeDepartment of Psychology, College of Leadership Development Studies, Covenant University, Ota, Ogun State, Nigeria.
Adebanke Olawole-IsaacDemography and Social Statistics, College of Business and Social Sciences, Covenant University, Ota, Ogun State, Nigeria.
Fagbeminiyi FasinaDemography and Social Statistics, College of Business and Social Sciences, Covenant University, Ota, Ogun State, Nigeria.
Paul O AdekolaDemography and Social Statistics, College of Business and Social Sciences, Covenant University, Ota, Ogun State, Nigeria.ORCID https://orcid.org/0000-0002-2104-6548
Gbemisola W SamuelDemography and Social Statistics, College of Business and Social Sciences, Covenant University, Ota, Ogun State, Nigeria.
Moses A AkanbiDemography and Social Statistics, College of Business and Social Sciences, Covenant University, Ota, Ogun State, Nigeria.
Muyiwa OladosunDemography and Social Statistics, College of Business and Social Sciences, Covenant University, Ota, Ogun State, Nigeria.
Dominic E AzuhDemography and Social Statistics, College of Business and Social Sciences, Covenant University, Ota, Ogun State, Nigeria.
Covenant University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe reports and information on coronavirus are not conspicuously emphasising the possible impact of population density on the explanation of difference in rapid spread and fatality due to the disease and not much has been done on bicountry comparisons.

objectiveThe study examined the impact of population density on the spread of COVID-19 pandemic in two sociodemographic divergent countries.

methodsThe study conducted a scoping review of published and unpublished articles including blogs on incidences and fatalities of COVID-19. The analysis followed qualitative description and quantitative presentation of the findings using only frequency distribution, percentages, and graphs.

resultsThe two countries shared similar experience of "importation" of COVID-19, but while different states ordered partial lockdown in Nigeria, it was an immediate total lockdown in Italy. The physician/patient ratio is high in Italy (1 : 328) but low in Nigeria (1 : 2500), while population density is 221 in Nigeria and 206 in Italy. Daily change in incidence rate reduced to below 20% after 51 and 30 days of COVID-19 first incidence in Italy and Nigeria, respectively. Fatality rate has plummeted to below 10% after the 66

conclusionThe authors upheld both governments' recommending measures that tilted towards personal hand-hygienic practices and social distancing. Authors suggested that if Italy with its high physician/patient ratio and lower population density compared to Nigeria could suffer high fatality from COVID-19 pandemic under four weeks, then Nigeria with its low physician/patient ratio and higher population density should prepare to face harder time if the pandemic persists.

Indexed as

Population DensityBetacoronavirusCommerceCoronavirus InfectionsCOVID-19Disaster PlanningHealth PolicyHealth Services AccessibilityHumansIncidenceInternational CooperationItalyNigeriaPandemicsPneumonia, ViralPublic Health

Identifiers

PMID32528234
PMCPMC7262732
OpenAlexW3033116854

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.