ArticleBulletin of mathematical biology2025
Once bitten, twice shy: A modeling framework for incorporating heterogeneous mosquito biting into transmission models.
Article in Bulletin of mathematical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Ecological specialization in vectors alters transmission thresholds and endemic dynamics in multi-host, multi-vector systems.PLoS computational biology · 2026Article
- Modeling treatment and temperature effects on dengue transmission at the division level in Bangladesh.PloS one · 2026Article
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Authors and funding
3 authors.
Funding
Abstract
The risk and intensity of mosquito-borne disease outbreaks are tightly linked to the frequency at which mosquitoes feed on blood, also known as the biting rate. However, standard models of mosquito-borne disease transmission inherently assume that mosquitoes bite only once per reproductive cycle-an assumption commonly violated in nature. Drivers of multiple biting, such as host defensive behaviors or climate factors, also affect the mosquito gonotrophic cycle duration (GCD), a quantity customarily used to estimate the biting rate. Here, we present a novel framework for incorporating more complex mosquito biting behaviors into transmission models. This framework can account for heterogeneity in and linkages between mosquito biting rates and multiple biting. We provide general formulas for the basic offspring number,
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