Evidence map›Paper›PMID 42877595›Full record

ArticlePopulation and development review2026

Measuring the Impact of Armed Conflict on Population Health: A Guide for Researchers.

Maya Luetke, Signe Svallfors, Elizabeth Heger Boyle

Abstract read
In one paragraph

Article in Population and development review, 2026. 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

3 authors.

Maya LuetkeMinnesota Population Center, University of Minnesota, Minneapolis, MN 55455, USA.
Signe SvallforsDepartment of Sociology, Stockholm University, 10691 Stockholm, Sweden.
Elizabeth Heger BoyleDepartment of Sociology, University of Minnesota, Minneapolis, MN 55455, USA.

Funding

IPUMS Demographic and Health SurveysR01HD069471 · NICHD · UNIVERSITY OF MINNESOTA · PI Elizabeth H Boyle, MIRIAM L KING · 2012 to 2026
$9.6M
Novel use of mobile phone big data to evaluate the effect of climatic and non-climatic shocks on human mobility and women's health outcomes in sub-Saharan AfricaK99HD112500 · NICHD · UNIVERSITY OF MINNESOTA · PI LUETKE, MAYA · 2023 to 2024
$258k
NICHD NIH HHS K99 HD112500NICHD NIH HHS R01 HD069471
6 · The paper itself

Abstract

The humanitarian impact of armed conflict remains a significant international issue, with an estimated 2 billion people residing in fragile or conflict-affected settings. Despite increasing attention and study of armed conflict and its impact on human populations, few studies have evaluated the methods necessary to assess such relationships: how to use disaggregated and granular conflict data, measure and operationalize conflict, etc. In this study, we identify important considerations for conducting armed conflict and health research, including how data structures and decisions might impact conclusions. We discuss the particular characteristics of existing armed conflict datasets and the types of biases that may be present in data drawn from conflict-affected areas. Further, we demonstrate how data and measurement choices can result in different conclusions and, if handled improperly, even spatial misclassification, bias, and spurious conclusions. Lastly, we illustrate some of these data and measurement choices in an empirical example where we assess the impact of conflict on women's contraceptive use in Nigeria. Using conflict event data from the Uppsala Conflict Data Program and health data from the Nigerian Demographic and Health Survey in 2018, we show how the relationship between exposure and outcomes varies across different spatiotemporal dimensions of conflict exposure measurement.

Identifiers

PMID42877595
PMCPMC13662798

What OpenQuestion holds

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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.