Evidence map›Paper›PMID 26670739›Full record

ArticleMalaria journal2015

A geostatistical analysis of the association between armed conflicts and Plasmodium falciparum malaria in Africa, 1997-2010.

Luigi Sedda, Qiuyin Qi, Andrew J Tatem

Abstract read
In one paragraph

Article in Malaria journal, 2015. 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

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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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  5. Spatial spillovers of violent conflict amplify the impacts of climate variability on malaria risk in sub-Saharan Africa.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

3 authors.

Luigi SeddaCHICAS, Lancaster Medical School, Lancaster University, Furness Building, Lancaster, LA1 4YG, UK. l.sedda@lancaster.ac.uk.
Qiuyin QiDepartment of Geography, University of Florida, Gainesville, FL, 32611-7315, USA. qiqiuyin1986@gmail.com.
Andrew J TatemFogarty International Center, National Institutes of Health, Bethesda, MD, 20892, USA. A.J.Tatem@soton.ac.uk.

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Isaac Ssewanyana · 2010 to 2026
$29.3M
NIAID NIH HHS U19 AI089674NIAID NIH HHS U19AI089674Wellcome Trust 106866/Z/15/Z
6 · The paper itself

Abstract

backgroundThe absence of conflict in a country has been cited as a crucial factor affecting the operational feasibility of achieving malaria control and elimination, yet mixed evidence exists on the influence that conflicts have had on malaria transmission. Over the past two decades, Africa has seen substantial numbers of armed conflicts of varying length and scale, creating conditions that can disrupt control efforts and impact malaria transmission. However, very few studies have quantitatively assessed the associations between conflicts and malaria transmission, particularly in a consistent way across multiple countries.

methodsIn this analysis an explicit geostatistical, autoregressive, mixed model is employed to quantitatively assess the association between conflicts and variations in Plasmodium falciparum parasite prevalence across a 13-year period in sub-Saharan Africa.

resultsAnalyses of geolocated, malaria prevalence survey variations against armed conflict data in general showed a wide, but short-lived impact of conflict events geographically. The number of countries with decreased P. falciparum parasite prevalence (17) is larger than the number of countries with increased transmission (12), and notably, some of the countries with the highest transmission pre-conflict were still found with lower transmission post-conflict. For four countries, there were no significant changes in parasite prevalence. Finally, distance from conflicts, duration of conflicts, violence of conflict, and number of conflicts were significant components in the model explaining the changes in P. falciparum parasite rate.

conclusionsThe results suggest that the maintenance of intervention coverage and provision of healthcare in conflict situations to protect vulnerable populations can maintain gains in even the most difficult of circumstances, and that conflict does not represent a substantial barrier to elimination goals.

Indexed as

Armed ConflictsAfrica South of the SaharaBiostatisticsCommunicable Disease ControlDisease Transmission, InfectiousHumansMalaria, FalciparumSpatio-Temporal AnalysisTopography, Medical

Identifiers

PMID26670739
PMCPMC4681145

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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.