Evidence map›Paper›PMID 34602648›Full record

ArticleGenus2021

Risk assessment for COVID-19 transmission at household level in sub-Saharan Africa: evidence from DHS.

Olusesan Ayodeji Makinde, Joshua O Akinyemi, Lorretta F Ntoimo, Chukwuedozie K Ajaero, Dorothy Ononokpono, Pamela C Banda, Yemi Adewoyin, Rebaone Petlele, Henry Ugwu, Clifford Obby Odimegwu

Open access · goldAbstract read
In one paragraph

Article in Genus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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

10 authors at 6 institutions in 3 countries.

Olusesan Ayodeji MakindeViable Knowledge Masters, Plot C114, First Avenue, Gwarimpa, FCT, Abuja, Nigeria.ORCID 0000-0002-1575-3588
Joshua O AkinyemiDepartment of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Lorretta F NtoimoFederal University Oye, Oye, Ekiti State Nigeria.
Chukwuedozie K AjaeroDepartment of Geography, University of Nigeria, Nsukka, Nigeria.
Dorothy OnonokponoDepartment of Sociology and Anthropology, Faculty of Social Sciences, University of Uyo, Uyo, Nigeria.
Pamela C BandaProvincial Education Office Ministry of Education, Lusaka, Zambia.
Yemi AdewoyinUniversity of Nigeria, Nsukka, Nigeria.
Rebaone PetleleDemography and Population Studies Program, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Henry UgwuDemography and Population Studies Program, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Clifford Obby OdimegwuDemography and Population Studies Program, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, South Africa.
University of the Witwatersrand · ZAUniversity of Nigeria · NGFederal University Oye Ekiti · NGMinistry of Health · ZMUniversity of Ibadan · NGUniversity of Uyo · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Household habitat conditions matter for diseases transmission and control, especially in the case of the novel coronavirus (COVID-19). These conditions include availability and adequacy of sanitation facilities, and number of persons per room. Despite this, little attention is being paid to these conditions as a pathway to understanding the transmission and prevention of COVID-19, especially in Africa, where household habitat conditions are largely suboptimal. This study assesses household sanitation and isolation capacities to understand the COVID-19 transmission risk at household level across Africa. We conducted a secondary analysis of the Demographic and Health Surveys of 16 African countries implemented between 2015 and 2018 to understand the status of households for prevention of COVID-19 transmission in home. We assessed handwashing capacity and self-isolation capacity using multiple parameters, and identified households with elderly persons, who are most at risk of the disease. We fitted two-level random intercept logit models to explore independent relationships among the three indicators, while controlling for the selected explanatory variables. Handwashing capacity was highest in Tanzania (48.2%), and lowest in Chad (4.2%), varying by household location (urban or rural), as well as household wealth. Isolation capacity was highest in South Africa (77.4%), and lowest in Ethiopia (30.9%). Senegal had the largest proportion of households with an elderly person (42.1%), while Angola (16.4%) had the lowest. There were strong, independent relationships between handwashing and isolation capacities in a majority of countries. Also, strong associations were found between isolation capacity and presence of older persons in households. Household capacity for COVID-19 prevention varied significantly across countries, with those having elderly household members not necessarily having the best handwashing or isolation capacity. In view of the age risk factors of COVID-19 transmission, and its dependence on handwashing and isolation capacities of households, each country needs to use the extant information on its risk status to shape communication and intervention strategies that will help limit the impact of the disease in its population across Africa. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41118-021-00130-w.

Indexed as

Communicable diseasesCOVID-19Emerging diseaseHandwashingOutbreakWASH

Identifiers

PMID34602648
PMCPMC8475382
OpenAlexW3202148915

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.