Evidence map›Paper›PMID 40969693›Full record

ArticleRoyal Society open science2025

Theory of infectious disease spillover at an ecological boundary: impacts of seasonality and cross-boundary movement.

Kaniz Fatema Nipa, Mozzamil Mohammed, P Stephens, John M Drake

Abstract read
In one paragraph

Article in Royal Society open science, 2025. 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.

Kaniz Fatema NipaOdum School of Ecology, University of Georgia, Athens, GA, USA.
Mozzamil MohammedOdum School of Ecology, University of Georgia, Athens, GA, USA.
P StephensOklahoma State University, Stillwater, OK, USA.
John M DrakeOdum School of Ecology, University of Georgia, Athens, GA, USA.ORCID https://orcid.org/0000-0003-4646-1235

Funding

Spillover of Ebola and other filoviruses at ecological boundariesR01AI156866 · NIAID · UNIVERSITY OF GEORGIA · PI STEPHENS, PATRICK · 2020 to 2024
$2.2M
NIAID NIH HHS R01 AI156866
6 · The paper itself

Abstract

Ecological boundaries are a key site for the spillover of wildlife pathogens into human and domestic livestock populations. Ebola virus is a zoonotic pathogen that is periodically introduced into humans causing outbreaks of a highly fatal haemorrhagic disease. There is evidence that spillover risk varies seasonally. Here, we hypothesize that this seasonality may be due to periodic variations in pathogen-host interactions, host social behaviours, movement and contact rates and demography. To better understand the dynamics of such a system, we studied a two-patch SIR compartmental model for the spillover of Ebola virus with seasonal and demographic variability. The model is expressed as a system of coupled ordinary differential equations (ODEs) with periodic disease transmission and dispersal between supercritical and subcritical patches. The periodic ODE system is generalized to a stochastic Continuous-Time Markov Chain (CTMC) model. The basic reproduction number of the two-patch SIR model is derived at the disease-free equilibrium to illustrate the impact of seasonality and movement on Ebola virus outbreaks. Several numerical examples are investigated. We find that the strength of seasonality and human movement are two potentially leading factors that are responsible for the intensity of periodic spillover risk from pathogen reservoirs to human settlements.

Indexed as

continuous time Markov chaindemographic stochasticityEbola virus diseasehuman movementseasonalityspillover

Identifiers

PMID40969693
PMCPMC12441601

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.