Effects of Seasonal Births and Predation on Disease Spread

For many organisms, births occur in seasonal pulses. When predation on an organism is density-dependent, seasonal population changes also change the per capita predation rate. This in turn can affect disease dynamics in the system. We use a Susceptible-Infected (SI) model to study the effects of seasonal births and nonlinear predation on the spread of infection in a population over time. Motivated by open marine systems, we assume that the total birth or recruitment rate is density-independent and that the predator population is constant. We compare models with constant year-round births and seasonally pulsed births as well as linear and hyperbolic predation functions. We calculate the basic reproductive number and use numerical simulations to examine system behavior when infection is endemic. When predation depends linearly on prey populations, seasonality of births does not affect the average infection level or disease transmissibility. When predation rates saturate, as in systems with hyperbolic predation, higher disease transmissibility and endemic infection levels result. This effect can be exacerbated by seasonality of births, especially at moderate population levels.

Authors

Institutions

Publication Details

Journal
Bulletin of Mathematical Biology
Published
2026-07-01
DOI
https://doi.org/10.1007/s11538-026-01697-1
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of Seasonal Births and Predation on Disease Spread

Leah B. Shaw, Allison J. Introne
Bulletin of Mathematical Biology
Evolution and Genetic Dynamics
article

Effects of Seasonal Births and Predation on Disease Spread

Leah B. Shaw, Allison J. Introne
article en

Abstract

For many organisms, births occur in seasonal pulses. When predation on an organism is density-dependent, seasonal population changes also change the per capita predation rate. This in turn can affect disease dynamics in the system. We use a Susceptible-Infected (SI) model to study the effects of seasonal births and nonlinear predation on the spread of infection in a population over time. Motivated by open marine systems, we assume that the total birth or recruitment rate is density-independent and that the predator population is constant. We compare models with constant year-round births and seasonally pulsed births as well as linear and hyperbolic predation functions. We calculate the basic reproductive number and use numerical simulations to examine system behavior when infection is endemic. When predation depends linearly on prey populations, seasonality of births does not affect the average infection level or disease transmissibility. When predation rates saturate, as in systems with hyperbolic predation, higher disease transmissibility and endemic infection levels result. This effect can be exacerbated by seasonality of births, especially at moderate population levels.

Bulletin of Mathematical BiologyVol. 88(7)
North Carolina State University (US), William & Mary (US)
Life below water
Openalex Percentile: Top 7%
Evolution and Genetic Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.