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Related papers: Multi-year optimization of malaria intervention: a…

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Malaria is one of the deadliest infectious diseases globally, causing hundreds of thousands of deaths each year. It disproportionately affects young children, with two-thirds of fatalities occurring in under-fives. Individuals acquire…

Populations and Evolution · Quantitative Biology 2023-06-07 Zhuolin Qu , Denis Patterson , Lauren Childs , Christina Edholm , Joan Ponce , Olivia Prosper , Lihong Zhao

Improvements to Zambia's malaria surveillance system allow better monitoring of incidence and targetting of responses at refined spatial scales. As transmission decreases, understanding heterogeneity in risk at fine spatial scales becomes…

Objectives: Our research adopts computational techniques to analyze disease outbreaks weekly over a large geographic area while maintaining local-level analysis by incorporating relevant high-spatial resolution cultural and environmental…

Machine Learning · Computer Science 2024-11-12 Scott Pezanowski , Etien Luc Koua , Joseph C Okeibunor , Abdou Salam Gueye

Malaria, a mosquito-borne disease caused by a parasite, kills over 1 million people globally each year. People, if left untreated, may develop severe complications, leading to death. Effective and accurate diagnosis is important for the…

Image and Video Processing · Electrical Eng. & Systems 2020-09-02 Alexander Tao , Boran Han

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

Frequent emergence of communicable diseases has been a major concern worldwide. Lack of sufficient resources to mitigate the disease-burden makes the situation even more challenging for lower-income countries. Hence, strategy development…

Populations and Evolution · Quantitative Biology 2023-02-03 Biplab Maity , Swarnendu Banerjee , Abhishek Senapati , Joydev Chattopadhyay

Automated malaria diagnosis is a difficult but high-value target for machine learning (ML), and effective algorithms could save many thousands of children's lives. However, current ML efforts largely neglect crucial use case constraints and…

Machine Learning · Computer Science 2023-07-06 Charles B. Delahunt , Noni Gachuhi , Matthew P. Horning

Background Elimination of malaria can only be achieved through removal of all vectors or complete depletion of the infectious reservoir in humans. Mechanistic models can be built to synthesize diverse observations from the field collected…

Populations and Evolution · Quantitative Biology 2015-07-13 Jaline Gerardin , Andre Lin Ouedraogo , Kevin A. McCarthy , Bocar Kouyate , Philip A. Eckhoff , Edward A. Wenger

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

This article considers the minimization of the total number of infected individuals over the course of an epidemic in which the rate of infectious contacts can be reduced by time-dependent nonpharmaceutical interventions. The societal and…

Optimization and Control · Mathematics 2023-03-16 Tom Britton , Lasse Leskelä

Malaria is a serious global health problem which is especially devastating to the developing world. Mosquitoes are the carriers of the parasite responsible for the disease, and hence malaria control programs focus on controlling mosquito…

Dynamical Systems · Mathematics 2016-06-17 Bhushan Kotnis , Joy Kuri

Sequential decision making is a typical problem in reinforcement learning with plenty of algorithms to solve it. However, only a few of them can work effectively with a very small number of observations. In this report, we introduce the…

Machine Learning · Computer Science 2019-10-22 Van Bach Nguyen , Belaid Mohamed Karim , Bao Long Vu , Jörg Schlötterer , Michael Granitzer

We develop a variable population age-structured ODE model to investigate the role of Intermittent Preventive Treatment (IPT) in averting malaria-induced mortalities in children, as well as its related cost in promoting the spread of…

Populations and Evolution · Quantitative Biology 2017-01-20 Carrie A. Manore , Miranda I. Teboh-Ewungkem , Olivia Prosper , Angela L. Peace , Katharine Gurski , Zhilan Feng

Telecom data is rich on mobility information and as such can be used to identify mobility patterns of people in near real time, enabling to build epidemiological models for understanding where epidemics might spread over time. Based on…

Computers and Society · Computer Science 2016-09-29 Kristyna Tomsu , Alexis Eggermont , Nicolas Snel

Climate change is intensifying infectious and chronic diseases like malaria and diabetes, respectively, especially among the vulnerable populations. Global temperatures have risen by approximately $0.6^\circ$C since 1950, extending the…

Multiagent Systems · Computer Science 2025-12-16 Shivank , Anurag Singh , Fakhteh Ghanbarnejad , Ajay K Sharma

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

Mosquitoes are a major vector for malaria, causing hundreds of thousands of deaths in the developing world each year. Not only is the prevention of mosquito bites of paramount importance to the reduction of malaria transmission cases, but…

Machine Learning · Statistics 2017-12-07 Yunpeng Li , Davide Zilli , Henry Chan , Ivan Kiskin , Marianne Sinka , Stephen Roberts , Kathy Willis

\textit{Plasmodium vivax} is the most geographically widespread malaria-causing parasite resulting in significant associated global morbidity and mortality. One of the factors driving this widespread phenomenon is the ability of the…

Populations and Evolution · Quantitative Biology 2023-09-18 Md Nurul Anwar , Roslyn I. Hickson , Somya Mehra , David J. Price , James M. McCaw , Mark B. Flegg , Jennifer A. Flegg

Combating an epidemic entails finding a plan that describes when and how to apply different interventions, such as mask-wearing mandates, vaccinations, school or workplace closures. An optimal plan will curb an epidemic with minimal loss of…

Machine Learning · Computer Science 2023-06-08 Anh Mai , Nikunj Gupta , Azza Abouzied , Dennis Shasha