Dataset Information

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

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.

SUBMITTER: Makinde OA

PROVIDER: S-EPMC8475382 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Silvio Daidone is a economist and Benjamin Davis is a Strategic Program Leader, both with the Food and Agriculture Organization of the United Nations, Rome, Italy. Sudhanshu Handa is a professor at the University of North Carolina at Chapel Hill. Paul Winters is the Associate Vice-President of the Strategy and Knowledge Department, International Fund for Agricultural Development, Rome, Italy. The research presented in this article has been carried out under the auspices of the "From Protection to Production" (PtoP) project, a collaborative effort of the United Nations Children's Fund, the United Kingdom Department for International Development (DFID) and the Food and Agriculture Organization of the United Nations (FAO). The project has received funding from the DFID Research and Evidence Division, the European Union through the "Improved Global Governance for Hunger Reduction Programme", and the FAO Regular Fund. The authors would like to thank the following: two anonymous reviewers and the journal editor, who have provided excellent comments and significantly contributed to the improvement of the article; Alejandro Grinspun, Fabio Veras Soares, and Marco Knowles for technical review of previous drafts; Ervin Prifti and Noemi Pace for their useful suggestions and comments. The authors are also grateful to participants at the following conferences and workshops: 2017 APPAM International Conference, Brussels; 2016 Transfer Project workshop, Addis Ababa; 2016 IFAD-3IE Designing and implementing high-quality, policy-relevant impact evaluations, Rome; 2015 SASPEN Conference on Social Protection, Johannesburg; 2015 Global Food Security Conference, Ithaca; 2014 IPEA International Seminar "Social protection, entrepreneurship and labor market activation - Evidence for better policies", Brasilia; 2014 University of Florence, Department of Economics & Management Seminars, Florence; 2014 Africa Community of Practice (CoP) on Conditional Cash Transfers and Cash Transfers; 2014 African Union Expert Consultation on Children and Social Protection Systems, Cape Town; 2014 IDS Graduation and Social Protection Conference, Kigali. The authors would also like to remember Josh Dewbre, a founding member of the PtoP team, who passed away in April 2015, who had participated in the fieldwork and in the analysis of several programs included in this study. All mistakes and omissions are those of the authors.

Project description:BackgroundThe annual collection of fertility, marriage, sexual behaviour, and contraceptive use data in the nationally representative rounds of Performance Monitoring and Accountability (PMA) surveys in sub-Saharan Africa may contribute to the periodic monitoring of adolescent sexual and reproductive health (ASRH). However, we need to understand the reliability of these data in monitoring the ASRH indicators. We assessed the internal and external consistencies in ASRH indicators in five countries.MethodsWe included countries with at least three nationally representative rounds of PMA surveys and two recent DHS: Ethiopia, Ghana, Kenya, Nigeria, and Uganda. Our analysis focused on four current status indicators of ASRH among girls 15-19 years: ever had sex, currently married, has given birth or currently pregnant, and currently using modern contraceptives among sexually active unmarried girls. We compared the PMA survey and DHS data and tested for statistical significance and assessed trends over time using Jonckheere-Terpstra test statistic.ResultsPMA and DHS survey methodologies were similar and, where there were differences, these were shown to have minimal impact on the indicator values. The comparison of the data points from PMA and DHS for the same years showed statistically significant differences in 12 of the 20 comparisons, which was most common for sexual behaviour (4/5) and least for contraceptive use (2/5). This is partly due to larger confidence intervals in both surveys. The time trends were consistent between the annual PMA surveys in most instances in Ethiopia, Kenya, and Nigeria but less so for Ghana and Uganda. However, both surveys highlight slow progress in adolescent and reproductive health indicators with major disparities between the countries.ConclusionsDespite the differences between PMA 2020 surveys and DHS surveys conducted in the same year, and inconsistencies of the PMA survey time series for several indicators in some countries, we found no systematic issues with PMA surveys and consider PMA surveys a valuable data source for the assessment of levels and trends of ASRH beyond contraceptive use and family planning for indicators of fertility, marriage, and sex among adolescent girls in sub-Saharan Africa.

Project description:Sub-Saharan Africa represents 69% of the total number of individuals living with HIV infection worldwide and 72% of AIDS deaths globally. Pulmonary infection is a common and frequently fatal complication, though little is known regarding the lower airway microbiome composition of this population. Our objectives were to characterize the lower airway microbiome of Ugandan HIV-infected patients with pneumonia, to determine relationships with demographic, clinical, immunological, and microbiological variables and to compare the composition and predicted metagenome of these communities to a comparable cohort of patients in the US (San Francisco). Bronchoalveolar lavage samples from a cohort of 60 Ugandan HIV-infected patients with acute pneumonia were collected. Amplified 16S ribosomal RNA was profiled and aforementioned relationships examined. Ugandan airway microbiome composition and predicted metagenomic function were compared to US HIV-infected pneumonia patients. Among the most common bacterial pulmonary pathogens, Pseudomonas aeruginosa was most prevalent in the Ugandan cohort. Patients with a richer and more diverse airway microbiome exhibited lower bacterial burden, enrichment of members of the Lachnospiraceae and sulfur-reducing bacteria and reduced expression of TNF-alpha and matrix metalloproteinase-9. Compared to San Franciscan patients, Ugandan airway microbiome were significantly richer, and compositionally distinct with predicted metagenomes that encoded a multitude of distinct pathogenic pathways e.g secretion systems. Ugandan pneumonia-associated airway microbiome is compositionally and functionally distinct from those detected in comparable patients in developed countries, a feature which may contribute to adverse outcomes in this population. Please note that the data from the comparable cohort of patients in the USUS data was published as supplemental material of PMID: 22760045 but not submitted to GEO The 'patient_info.txt' contains 12 clinical, 7 immunological and 3 microbiological variables for each patient.

Dataset Information

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

Supplementary information

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets