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Related papers: Spatio-temporal agent-based modelling of malaria

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Recent statistics of malaria shows that over 200 million cases and estimated deaths of nearly half a million occur globally. Africa alone accounts for almost 90% of the cases. Several studies have been conducted to understand the disease…

Populations and Evolution · Quantitative Biology 2020-04-15 Babagana Modu , Nereida Polovina , Savas Konur

Malaria is a mosquito-borne, lethal disease that affects millions and kills hundreds of thousands of people each year. In this paper, we develop a model for allocating malaria interventions across geographic regions and time, subject to…

Populations and Evolution · Quantitative Biology 2023-09-28 Harry J. Dudley , Abhishek Goenka , Cesar J. Orellana , Susan E. Martonosi

Many malaria-endemic areas experience seasonal fluctuations in case incidence as Anopheles mosquito and Plasmodium parasite life cycles respond to changing environmental conditions. While most existing maps of malaria seasonality use fixed…

Malaria is an infectious disease affecting a large population across the world, and interventions need to be efficiently applied to reduce the burden of malaria. We develop a framework to help policy-makers decide how to allocate limited…

Applications · Statistics 2020-03-12 Qian Guan , Brian J. Reich , Eric B. Laber

Malaria is one of the most common mosquito-borne diseases widespread in tropical and subtropical regions, causing thousands of deaths every year in the world. In a previous paper, we formulated an age-structured model containing three…

Populations and Evolution · Quantitative Biology 2024-05-24 Quentin Richard , Marc Choisy , Ramsès Djidjou-Demasse , Thierry Lefèvre

We introduce an agent-based model describing a susceptible-infectious-susceptible (SIS) system of humans and mosquitoes to predict malaria epidemiological scenarios in realistic biological conditions. Emphasis is given to the transition…

Populations and Evolution · Quantitative Biology 2019-03-12 João Sequeira , Jorge Louçã , António M. Mendes , Pedro G. Lind

One of the main causes of death around the globe is malaria. Researchers have sought to develop predictive models for malaria outbreaks based on meteorological data, climate data and the breeding cycle of Plasmodium, the causative agent of…

Other Quantitative Biology · Quantitative Biology 2026-05-20 Mary Opokua Ansong , Asare Yaw Obeng , Samuel King Opoku

Emerging marine infectious diseases pose a substantial threat to marine ecosystems and the conservation of their biodiversity. Compartmental models of epidemic transmission in marine sessile organisms, available only recently, are based on…

Populations and Evolution · Quantitative Biology 2022-11-03 Àlex Giménez-Romero , Federico Vazquez , Cristóbal López , Manuel A. Matías

The epidemiological behavior of Plasmodium vivax malaria occurs across spatial scales including within-host, population, and metapopulation levels. On the within-host scale, P. vivax sporozoites inoculated in a host may form latent…

Populations and Evolution · Quantitative Biology 2023-12-12 Shoshana Elgart , Mark B. Flegg , Somya Mehra , Jennifer A. Flegg

The rising proportion of Plasmodium vivax cases concentrated in forest-fringe areas across the Greater Mekong Subregion highlights the importance of pharmaceutical and mosquito control techniques specifically targeted towards forest-going…

Quantitative Methods · Quantitative Biology 2025-06-13 Shoshana Elgart , Mark B. Flegg , Jennifer A. Flegg

We examine how spatial heterogeneity combines with mobility network structure to influence vector-borne disease dynamics. Specifically, we consider a Ross-Macdonald-type disease model on $n$ spatial locations that are coupled by host…

Populations and Evolution · Quantitative Biology 2022-04-22 Omar Saucedo , Joseph H. Tien

Dynamical phenomena such as infectious diseases are often investigated by following up subjects longitudinally, thus generating time to event data. The spatial aspect of such data is also of primordial importance, as many infectious…

Methodology · Statistics 2020-10-13 Ajmal Oodally , Estelle Kuhn , Klara Goethals , Luc Duchateau

Malaria transmission in Madagascar is highly heterogeneous, exhibiting spatial, seasonal and long-term trends. Previous efforts to map malaria risk in Madagascar used prevalence data from Malaria Indicator Surveys. These cross-sectional…

We mapped current and future temperature suitability for malaria transmission in Africa using a published model that incorporates nonlinear physiological responses to temperature of the mosquito vector Anopheles gambiae and the malaria…

Quantitative Methods · Quantitative Biology 2016-05-13 Sadie J. Ryan , Amy McNally , Leah R. Johnson , Erin Mordecai , Tal Ben-Horin , Krijn Paaijmans , Kevin D. Lafferty

This paper investigates the stochastic permanence of malaria and the existence of a stationary distribution for the stochastic process describing the disease dynamics over sufficiently longtime. The malaria system is highly random with…

Populations and Evolution · Quantitative Biology 2020-05-05 Divine Wanduku

Malaria control strategies aiming at reducing disease transmission intensity may impact both oocyst intensity and infection prevalence in the mosquito vector. Thus far, mathematical models failed to identify a clear relationship between…

Statistics Theory · Mathematics 2011-02-24 Robin Genuer , Isabelle Morlais , Wilson Toussile

Malaria remains endemic in tropical areas, especially in Africa. For the evaluation of new tools and to further ourunderstanding of host-parasite interactions, knowing the environmental risk of transmission-even at a very local…

Background As more regions approach malaria elimination, understanding how different interventions interact to reduce transmission becomes critical. The Lake Kariba area of Southern Province, Zambia, is part of a multi-country elimination…

Malaria is a vector-borne disease that exacts a grave toll in the Global South. The epidemiology of Plasmodium vivax, the most geographically expansive agent of human malaria, is characterised by the accrual of a reservoir of dormant…

Populations and Evolution · Quantitative Biology 2022-08-23 Somya Mehra , Peter G. Taylor , James M. McCaw , Jennifer A. Flegg

Modern disease mapping draws upon a wealth of high resolution spatial data products reflecting environmental and/or socioeconomic factors as covariates, or `features', within a geostatistical framework to improve predictions of disease…

Applications · Statistics 2021-03-16 Rohan Arambepola , Peter Gething , Ewan Cameron
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