ArticleThe American journal of tropical medicine and hygiene2000
A simplified model for predicting malaria entomologic inoculation rates based on entomologic and parasitologic parameters relevant to control.
Article in The American journal of tropical medicine and hygiene, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.
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Who cites it
113 citing papers in PubMed.
- Complex non-Research square · 2026Article
- Modelling the effects of adult emergence on the surveillance and age distribution of medically important mosquitoes.PLoS computational biology · 2025Article
- Process and Methodological Considerations for Observational Analyses of Vector Control Interventions in Sub-Saharan Africa Using Routine Malaria Data.The American journal of tropical medicine and hygiene · 2025Article
- A century of medical records reveal earlier onset of the malaria season in Haut-Katanga induced by climate change.BMJ global health · 2024Article
- Anopheles aquatic development kinetic and adults' longevity through different seasons in laboratory and semi-field conditions in Burkina Faso.Parasites & vectors · 2024Article
- An analytically tractable, age-structured model of the impact of vector control on mosquito-transmitted infections.PLoS computational biology · 2024Article
- Mathematical models of Plasmodium vivax transmission: A scoping review.PLoS computational biology · 2024Article
- Experimental hut and field evaluation of a metofluthrin-based spatial repellent against pyrethroid-resistant Anopheles funestus in Siaya County, western Kenya.Parasites & vectors · 2024Article
- Intervention reducing malaria parasite load in vector mosquitoes: No impact on Plasmodium falciparum extrinsic incubation period and the survival of Anopheles gambiae.PLoS pathogens · 2023Article
- Evidence for exposure dependent carriage of malaria parasites across the dry season: modelling analysis of longitudinal data.Malaria journal · 2023Article
- Exploring the thermal limits of malaria transmission in the western Himalaya.Ecology and evolution · 2022Article
- A statistical calibration tool for methods used to sample outdoor-biting mosquitoes.Parasites & vectors · 2022Article
- Inference and dynamic simulation of malaria using a simple climate-driven entomological model of malaria transmission.PLoS computational biology · 2022Article
- An urban-to-rural continuum of malaria risk: new analytic approaches characterize patterns in Malawi.Malaria journal · 2021Article
- IdentifyingeLife · 2021Article
- Immune selection suppresses the emergence of drug resistance in malaria parasites but facilitates its spread.PLoS computational biology · 2021Article
- A New Test of a Theory about Old Mosquitoes.Trends in parasitology · 2021Review
- Vector bionomics and vectorial capacity as emergent properties of mosquito behaviors and ecology.PLoS computational biology · 2020Article
- An Epidemiological Model of Malaria Accounting for Asymptomatic Carriers.Bulletin of mathematical biology · 2020Article
- Simulating the council-specific impact of anti-malaria interventions: A tool to support malaria strategic planning in Tanzania.PloS one · 2020Article
53 more citing papers are in PubMed but not listed here.
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6 authors.
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Abstract
Malaria transmission intensity is modeled from the starting perspective of individual vector mosquitoes and is expressed directly as the entomologic inoculation rate (EIR). The potential of individual mosquitoes to transmit malaria during their lifetime is presented graphically as a function of their feeding cycle length and survival, human biting preferences, and the parasite sporogonic incubation period. The EIR is then calculated as the product of 1) the potential of individual vectors to transmit malaria during their lifetime, 2) vector emergence rate relative to human population size, and 3) the infectiousness of the human population to vectors. Thus, impacts on more than one of these parameters will amplify each other's effects. The EIRs transmitted by the dominant vector species at four malaria-endemic sites from Papua New Guinea, Tanzania, and Nigeria were predicted using field measurements of these characteristics together with human biting rate and human reservoir infectiousness. This model predicted EIRs (+/- SD) that are 1.13 +/- 0.37 (range = 0.84-1.59) times those measured in the field. For these four sites, mosquito emergence rate and lifetime transmission potential were more important determinants of the EIR than human reservoir infectiousness. This model and the input parameters from the four sites allow the potential impacts of various control measures on malaria transmission intensity to be tested under a range of endemic conditions. The model has potential applications for the development and implementation of transmission control measures and for public health education.
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