Evidence map›Paper›PMID 42609661›Full record

ArticleJournal of tropical medicine2026

High-Resolution Mapping of Environmental Suitability for Reported Ebola Spillover Events in Uganda to Inform Surveillance and Preparedness.

George Paasi, Nancy Malaika, Sam Okware, Peter Olupot-Olupot

Abstract read
In one paragraph

Article in Journal of tropical medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

George PaasiClinical Trials Department, Mbale Clinical Research Institute, Mbale, Uganda.ORCID https://orcid.org/0000-0001-6360-0589
Nancy MalaikaSchool of Medicine and Health Sciences, Soroti University, Soroti, Uganda, sun.ac.ug.ORCID https://orcid.org/0009-0002-8687-0412
Sam OkwareUganda National Health Research Organisation (UNHRO), Entebbe, Uganda.ORCID https://orcid.org/0000-0001-8448-0301
Peter Olupot-OlupotClinical Trials Department, Mbale Clinical Research Institute, Mbale, Uganda.ORCID https://orcid.org/0000-0002-5757-609X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Uganda experiences recurrent Ebola disease (EBOD) outbreaks, yet national suitability maps often pool virus species or are too coarse for district-level planning. We aimed to generate species-resolved, 1 km relative environmental suitability surfaces for reported Ebola spillover events in Uganda; quantify the contribution of environmental, anthropogenic, and reservoir-related predictors to modeled suitability; and translate continuous outputs into operational prioritization tiers for district surveillance and preparedness. Methods: We compiled 71 laboratory-confirmed reported Ebola event localities in Uganda from 2000 to 2023, defined as the most likely documented locality of initial human infection where available, and paired them with 11 minimally collinear predictors. Pooled and virus-specific MaxEnt models were tuned in ENMeval by comparing feature-class sets across Results: Tuning selected LQHP with Conclusions: Relative environmental suitability for reported Ebola spillover localities in Uganda is concentrated in compact high-priority belts where elevated modeled suitability overlaps with large resident populations. Tier 1 and Tier 2 areas provide a focused basis for strengthening event-based surveillance, early detection, laboratory referral, infection prevention and control readiness, rapid response capacity, One Health field investigation, and community engagement.

Indexed as

ebola virus diseaseecological niche modelingMaxEntone healthrelative suitabilityUganda

Identifiers

PMID42609661
PMCPMC13478722

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.