ArticleInfectious Disease Modelling2021
Effects of environmental variability on superspreading transmission events in stochastic epidemic models.
Article in Infectious Disease Modelling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed.
- Incidence and predictors of Sudan ebolavirus transmission among contacts in Uganda in 2022: a retrospective cohort study.BMC public health · 2025Article
- Lyme Disease Models of Tick-Mouse Dynamics with Seasonal Variation in Births, Deaths, and Tick Feeding.Bulletin of mathematical biology · 2024Article
- Cattle aggregations at shared resources create potential parasite exposure hotspots for wildlife.Proceedings. Biological sciences · 2023Article
- The interplay of social constraints and individual variation in risk tolerance in the emergence of superspreaders.Journal of the Royal Society, Interface · 2023Article
- Exploring the role of superspreading events in SARS-CoV-2 outbreaks.Journal of theoretical biology · 2023Article
- A Hybrid Epidemic Model to Explore Stochasticity in COVID-19 Dynamics.Bulletin of mathematical biology · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Superspreaders (individuals with a high propensity for disease spread) have played a pivotal role in recent emerging and re-emerging diseases. In disease outbreak studies, host heterogeneity based on demographic (e.g. age, sex, vaccination status) and environmental (e.g. climate, urban/rural residence, clinics) factors are critical for the spread of infectious diseases, such as Ebola and Middle East Respiratory Syndrome (MERS). Transmission rates can vary as demographic and environmental factors are altered naturally or due to modified behaviors in response to the implementation of public health strategies. In this work, we develop stochastic models to explore the effects of demographic and environmental variability on human-to-human disease transmission rates among superspreaders in the case of Ebola and MERS. We show that the addition of environmental variability results in reduced probability of outbreak occurrence, however the severity of outbreaks that do occur increases. These observations have implications for public health strategies that aim to control environmental variables.
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