Evidence map›Paper›PMID 37205645›Full record

ArticlePLOS global public health2023

Community-level impacts of the coronavirus pandemic on malaria prevention and health-seeking behaviours in rural Benin: A mixed methods study.

Claudia Duguay, Manfred Accrombessi, Ludovic K N'Tcha, Bruno A Akinro, Edouard Dangbenon, Landry Assongba, Samantha C Yee, Cindy Feng, Ronald Labonte, Alison Krentel and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. 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

13 authors at 4 institutions in 3 countries.

Claudia DuguaySchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada.ORCID https://orcid.org/0000-0002-9577-5719
Manfred AccrombessiFaculty of Infectious and Tropical Diseases, Disease Control Department, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0001-9550-9413
Ludovic K N'TchaCentre de Recherche Entomologique de Cotonou, Cotonou, Benin.
Bruno A AkinroCentre de Recherche Entomologique de Cotonou, Cotonou, Benin.
Edouard DangbenonCentre de Recherche Entomologique de Cotonou, Cotonou, Benin.
Landry AssongbaCentre de Recherche Entomologique de Cotonou, Cotonou, Benin.ORCID https://orcid.org/0000-0003-4092-2280
Samantha C YeeSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada.
Cindy FengDepartment of Community Health & Epidemiology, Dalhousie University, Halifax, Canada.
Ronald LabonteSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada.ORCID https://orcid.org/0000-0002-0615-740X
Alison KrentelSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada.
Natacha ProtopopoffFaculty of Infectious and Tropical Diseases, Disease Control Department, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Martin AkogbetoCentre de Recherche Entomologique de Cotonou, Cotonou, Benin.
Manisha A KulkarniSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada.ORCID https://orcid.org/0000-0002-5084-4960
University of Ottawa · CALondon School of Hygiene & Tropical Medicine · GBDalhousie University · CAUniversité d'Abomey-Calavi · BJ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, negative impacts of the COVID-19 pandemic on malaria prevention and control efforts have been caused by delayed distributions of long-lasting insecticidal nets (LLIN), decreased outpatient attendance, and disruptions to malaria testing and treatment. Using a mixed methods approach, we aimed to evaluate the impact of COVID-19 on community-level malaria prevention and health-seeking practices in Benin more than one year after the start of the COVID-19 pandemic. We collected data through community-based cross-sectional surveys with 4200 households and ten focus group discussions (FGDs). Mixed effect logistic regression models accounting for a clustered sampling design were used to identify variables associated with main outcomes (good COVID-19 knowledge, LLIN usage and access, and avoidance of health centres). Consistent with the experiences of FGD participants, receiving information from radios or televisions was significantly associated with good COVID-19 knowledge and avoiding health centres because of the pandemic (p<0.001 for both). Qualitative findings also revealed varying and polarizing changes in health-seeking behaviours with participants noting that they either did not change their health-seeking behaviours or went to health centres less or more often because of the pandemic. LLIN usage and access did not decrease in the study area because of the pandemic (LLIN usage: 88% in 2019 to 99.9% in 2021; LLIN access: 62% in 2019 to 73% in 2021). An unexpected change and unintended challenge for sustained malaria prevention included families socially distancing in their homes, resulting in a shortage of LLINs. Our findings showed that there were minimal community-level impacts of the coronavirus pandemic on malaria prevention and health seeking behaviours in rural Benin, which highlights the importance of efforts to sustain malaria prevention and control interventions in the context of the COVID-19 pandemic.

Identifiers

PMID37205645
PMCPMC10198503
OpenAlexW4377115556

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.