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Integrated geospatial analysis of the 2014–2016 Ebola virus disease outbreak in Sierra Leone: district-level kernel density estimation, Getis–Ord Gi* hot-spot statistics and health-infrastructure mapping

2026-08-12

Abstract excerpt

<title>Abstract</title> <p>Background. The 2014–2016 Ebola virus disease (EVD) epidemic was the largest on record, and Sierra Leone reported more confirmed cases than any other affected country. Although the outbreak generated extensive epidemiological data, few analyses have combined visual density mapping with formal statistical validation of spatial clustering at the district level. This study applies an inte...

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Literature Corpus work: f7e3243e-47a4-5916-90ab-f83665355c6d
DOI: 10.21203/rs.3.rs-10390573/v1

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Integrated geospatial analysis of the 2014–2016 Ebola virus disease outbreak in Sierra Leone: district-level kernel density estimation, Getis–Ord Gi* hot-spot statistics and health-infrastructure mappingDOI 10.21203/rs.3.rs-10390573/v1Read

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