ArticlePloS one2013
ANOSPEX: a stochastic, spatially explicit model for studying Anopheles metapopulation dynamics.
Article in PloS one, 2013. 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.
- Adapting physics-informed neural networks to improve ODE optimization in mosquito population dynamics.PloS one · 2024Article
- Bioinformatics, Computational Informatics, and Modeling Approaches to the Design of mRNA COVID-19 Vaccine Candidates.Computation (Basel, Switzerland) · 2022Article
- Mathematical assessment of the role of temperature and rainfall on mosquito population dynamics.Journal of mathematical biology · 2017Article
- Predicting the impact of border control on malaria transmission: a simulated focal screen and treat campaign.Malaria journal · 2015Article
- Hitting a Moving Target: A Model for Malaria Elimination in the Presence of Population Movement.PloS one · 2015Article
- Computational biology and bioinformatics in Nigeria.PLoS computational biology · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Anopheles mosquitoes transmit malaria, a major public health problem among many African countries. One of the most effective methods to control malaria is by controlling the Anopheles mosquito vectors that transmit the parasites. Mathematical models have both predictive and explorative utility to investigate the pros and cons of different malaria control strategies. We have developed a C++ based, stochastic spatially explicit model (ANOSPEX; Ano pheles Spatially-Explicit) to simulate Anopheles metapopulation dynamics. The model is biologically rich, parameterized by field data, and driven by field-collected weather data from Macha, Zambia. To preliminarily validate ANOSPEX, simulation results were compared to field mosquito collection data from Macha; simulated and observed dynamics were similar. The ANOSPEX model will be useful in a predictive and exploratory manner to develop, evaluate and implement traditional and novel strategies to control malaria, and for understanding the environmental forces driving Anopheles population dynamics.
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Registered trials
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.