Research

Papers, preprints, data releases, and policy documents related to the indicators in this dataset, gathered daily and summarized by AI.

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This study uses Demographic and Health Survey data on 2,085 Nigerian couples to examine how childhood exposure to the Nigerian Civil War (1967–1970) affects intimate partner violence risk, extending prior work on women's war exposure by also considering husbands' exposure. Hazard models show that the link between wives' childhood war exposure and their risk of intimate partner violence is explained by assortative mating, as war-exposed women tend to marry war-exposed men, while mediation analyses explore how husbands' war exposure relates to their likelihood of perpetrating violence. The findings highlight that war's long-term effects extend beyond directly exposed individuals to their spouses and family relationships.

Abstract
Abstract A growing demographic literature outlines how war exposure has long‐lasting and far‐reaching impacts on individuals. Yet the nascent literature leaves questions of whether and how the war exposures of key relatives, such as spouses, affect individuals. We use Demographic and Health Survey data ( N = 2,085 couples) to study the Nigerian Civil War (1967–1970), extending insights into the link between women's childhood exposure to war and their elevated risk of intimate partner violence by considering the relevance of their spouse's war exposure. Hazard models demonstrate that the association between wives’ childhood war exposure and their risk of intimate partner violence is attributable to war‐exposed women marrying war‐exposed men. Mediation analyses examine pathways linking husbands’ war exposure to their risk of perpetrating violence. Together, the results underscore the value of efforts to understand how war continues to haunt both those who experience it, as well as those with whom their lives are intertwined.
AI-generated summary

This methodological paper offers guidance for researchers studying the relationship between armed conflict and population health, highlighting key considerations such as data structure choices, conflict measurement/operationalization, and potential biases (including spatial misclassification) in conflict-affected data. Using conflict event data from the Uppsala Conflict Data Program alongside the 2018 Nigerian Demographic and Health Survey, the authors empirically demonstrate how varying spatiotemporal measures of conflict exposure can lead to different conclusions about its impact on women's contraceptive use in Nigeria.

Abstract
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.