Evidence map›Paper›PMID 42244264›Full record

ArticleAmerican journal of biological anthropology2026

Ecology of Malaria Mortality: A Spatiotemporal Mapping Approach.

Amanda Cooke, Megan B Brickley

Abstract readHistorical Article
In one paragraph

Article in American journal of biological anthropology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Amanda CookeDepartment of Anthropology, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0009-0001-2793-6488
Megan B BrickleyDepartment of Anthropology, McMaster University, Hamilton, Ontario, Canada.

Funding

Social Sciences and Humanities Research Council of Canada 752-2024-2545
6 · The paper itself

Abstract

objectivesThis study examines the spatiotemporal ecology of probable malaria mortality in 19th-century southern Ontario to evaluate how settlement expansion, landscape transformation, and infrastructure development structured transmission risk in a temperate, settler-colonial context. MATERIALS AND

methodsProbable malaria-attributed deaths recorded in Ontario death certificates (1869-1900; n = 2683) were geocoded and analyzed using Geographic Information Systems (GIS). Mortality locations were examined in relation to historical settlements, railways, and wetlands derived from 19th-century spatial datasets. Spatial clustering was assessed using Average Nearest Neighbor analysis and kernel density estimation. Temporal changes in proximity to landscape features were tested using nonparametric statistics, while malaria mortality density was modeled using negative binomial regression and generalized additive models.

resultsMalaria mortality was significantly clustered across all decades but became progressively less spatially concentrated through time. Mortality locations shifted farther from mapped wetlands as drainage intensified, while proximity to settlements consistently decreased. Regression models identified settlement proximity as the strongest and only significant predictor of malaria mortality density, whereas distances to wetlands were not independently associated once settlement effects were accounted for. DISCUSSION: These results indicate a reorganization of malaria risk from environmentally constrained ecologies toward anthropogenic landscapes shaped by settlement, agriculture, and infrastructure. Malaria transmission in southern Ontario was embedded within everyday settlement practices rather than static environmental features, demonstrating how colonial landscape transformation structured disease risk in a temperate region. This study highlights the value of spatiotemporal GIS approaches for interpreting past disease ecologies within biological anthropology and paleopathology.

Indexed as

MalariaGeographic Information SystemsHistory, 19th CenturyHumansOntarioSpatio-Temporal Analysisdisease ecologyGIS analysishistorical epidemiologylandscape transformationmalaria

Identifiers

PMID42244264
PMCPMC13238383

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LicenceCC BY-NC-ND
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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.