Evidence map›Paper›PMID 33648499›Full record

ArticleMalaria journal2021

Beyond national indicators: adapting the Demographic and Health Surveys' sampling strategies and questions to better inform subnational malaria intervention policy.

Ifeoma D Ozodiegwu, Monique Ambrose, Katherine E Battle, Caitlin Bever, Ousmane Diallo, Beatriz Galatas, Manuela Runge, Jaline Gerardin

Abstract readLetter
In one paragraph

Article in Malaria journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

8 authors.

Ifeoma D OzodiegwuDepartment of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL, USA. ifeoma.ozodiegwu@northwestern.edu.ORCID http://orcid.org/0000-0001-7810-414X
Monique AmbroseInstitute for Disease Modeling, Seattle, WA, USA.
Katherine E BattleInstitute for Disease Modeling, Seattle, WA, USA.
Caitlin BeverInstitute for Disease Modeling, Seattle, WA, USA.
Ousmane DialloDepartment of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL, USA.
Beatriz GalatasGlobal Malaria Programme, World Health Organization, Geneva, Switzerland.
Manuela RungeDepartment of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL, USA.
Jaline GerardinDepartment of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL, USA.

Funding

World Health Organization 001
6 · The paper itself

Abstract

In malaria-endemic countries, prioritizing intervention deployment to areas that need the most attention is crucial to ensure continued progress. Global and national policy makers increasingly rely on epidemiological data and mathematical modelling to help optimize health decisions at the sub-national level. The Demographic and Health Surveys (DHS) Program is a critical data source for understanding subnational malaria prevalence and intervention coverage, which are used for parameterizing country-specific models of malaria transmission. However, data to estimate indicators at finer resolutions are limited, and surveys questions have a narrow scope. Examples from the Nigeria DHS are used to highlight gaps in the current survey design. Proposals are then made for additional questions and expansions to the DHS and Malaria Indicator Survey sampling strategy that would advance the data analyses and modelled estimates that inform national policy recommendations. Collaboration between the DHS Program, national malaria control programmes, the malaria modelling community, and funders is needed to address the highlighted data challenges.

Indexed as

Health PolicyCommunicable Disease ControlMalariaNigeriaSurveys and Questionnaires

Identifiers

PMID33648499
PMCPMC7919087

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.