Evidence map›Paper›PMID 41438389›Full record

ArticleData in brief2025

Data collected for the Child Health and Mortality Prevention Surveillance (CHAMPS) network evaluating the impact of COVID-19 lockdown protocol in Karemo - Siaya and Manyatta - Kisumu, Kenya.

David Obor, Jonathan A Muir, Stephen Munga, Beth T Barr, Dicken Onyango, Christine Khaggayi, Lavender Owiti, Benard Asuke, Emmanuel Achayo, Beth A Odhiambo and 6 more

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

David OborKenya Medical Research Institute, Centre for Global Health Protection, Kisumu, Kenya.
Jonathan A MuirEmory University, Atlanta, GA, United States.
Stephen MungaKenya Medical Research Institute, Centre for Global Health Protection, Kisumu, Kenya.
Beth T BarrUS Centers for Disease Control and Prevention, Center for Global Health, Kisumu, Kenya.
Dicken OnyangoKisumu County Health Department, Kenya.
Christine KhaggayiKenya Medical Research Institute, Centre for Global Health Protection, Kisumu, Kenya.
Lavender OwitiKenya Medical Research Institute, Centre for Global Health Protection, Kisumu, Kenya.
Benard AsukeKenya Medical Research Institute, Centre for Global Health Protection, Kisumu, Kenya.
Emmanuel AchayoKenya Medical Research Institute, Centre for Global Health Protection, Kisumu, Kenya.
Beth A OdhiamboKenya Medical Research Institute, Centre for Global Health Protection, Kisumu, Kenya.
George AolKenya Medical Research Institute, Centre for Global Health Protection, Kisumu, Kenya.
Thomas MisoreKenya Medical Research Institute, Centre for Global Health Protection, Kisumu, Kenya.
Nehemiah Abong'oKenya Medical Research Institute, Centre for Global Health Protection, Kisumu, Kenya.
Zachary J MadewellUS Centers for Disease Control and Prevention, Atlanta, GA, United States.
Solveig A CunninghamEmory University, Atlanta, GA, United States.
Victor AkeloKenya Medical Research Institute, Centre for Global Health Protection, Kisumu, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data collection commenced under the auspices of a collaborative global health partnership by the Child Health and Mortality Prevention Surveillance (CHAMPS) network to investigate the impact of the COVID-19 pandemic and related lockdowns on child and maternal health, economic hardships, and access to care for children and pregnant women. Survey data were collected between January and August 2022 within a Health and Demographic Surveillance System (HDSS) in Western Kenya. The data were gathered using a survey instrument designed to measure household knowledge and awareness of COVID-19, experiences of economic and social hardships, changes in food availability, and challenges to accessing healthcare during the pandemic. The data are drawn from two communities in Western Kenya, one rural (Karemo) and one urban (Manyatta) and consist of a survey of 28,677 households.

Indexed as

KenyaLockdownResilienceSARS-CoV-2

Identifiers

PMID41438389
PMCPMC12720115

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.