PARASITES & VECTORS 29/06/21 Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso. In this modeling study, we linked the biting rates of three major malaria vector species with environmental conditions at vicinities of places and periods of time of biting events to better understand their bio-ecology at fine spatiotemporal scales and identify important factors leading to increased biting risk.
First, we correlated the biting rates of the vector species with (i) each meteorological variable at various time lags before the mosquito collection (using cross-correlation maps) and (ii) each landscape variable in various buffer zones around the HLC locations. Then, for selected time lags or spatial radii (the ones with the highest correlation coefficients), we generated multivariate models to study (i) the contribution of each environmental variable in predicting the biting rates and (ii) the nature of the relationship between each environmental variable and the biting rates (all other environmental conditions considered).
PLoS Comput Biol. 2020 Aug 14; Vector genetics, insecticide resistance and gene drives: An agent-based modeling approach to evaluate malaria transmission and elimination. Abstract Vector control has been a key component in the fight against malaria for decades, and chemical insecticides are critical to the success of vector control programs worldwide.
However, increasing resistance to insecticides threatens to undermine these efforts. Understanding the evolution and propagation of resistance is thus imperative to mitigating loss of intervention effectiveness. Additionally, accelerated research and development of new tools that can be deployed alongside existing vector control strategies is key to eradicating malaria in the near future.
Methods such as gene drives that aim to genetically modify large mosquito populations in the wild to either render them refractory to malaria or impair their reproduction may prove invaluable tools. Author summary Vector control interventions are essential to the success of global malaria control and elimination efforts but increasing insecticide resistance worldwide threatens to derail these efforts.
Editor: Miles P. The American Journal of Tropical Medicine and Hygiene 05/12/12 Malaria Risk Mapping for Control in the Republic of Sudan. REMOTE SENSING 16/05/20 Remote Sensing and Multi-Criteria Evaluation for Malaria Risk Mapping to Support Indoor Residual Spraying Prioritization in the Central Highlands of Madagascar. Epidemiology and Clinical Research Unit, Institut Pasteur de Madagascar, 101 Antananarivo, Madagascar Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Unité Mixte de Recherche Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), 34398 Montpellier, France Unité Mixte de Recherche Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Université de Montpellier, Institut des sciences et industries du vivant et de l’environnement (AgroParisTech), Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Centre National de la Recherche Scientifique (CNRS), Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE), F-34090 Montpellier, France Laboratoire de Géophysique de l’Environnement et Télédétection (LGET), Institut et Observatoire de Géophysique d’Antananarivo (IOGA), Université d’Antananarivo, 101 Antananarivo, Madagascar.
BIORXIV 06/02/20 Vector genetics, insecticide resistance and gene drives: an agent-based modeling approach to evaluate malaria transmission and elimination. REMOTE SENS 09/08/19 Satellite Earth Observation Data in Epidemiological Modeling of Malaria, Dengue and West Nile Virus: A Scoping Review. The selected articles were organized into two main categories (Figure 3) with respect to the data used as dependent variables for the prevalence of the diseases: (a) epidemiological data (disease incidence, prevalence or case, mortality data) (n = 31) and (b) entomological data (n = 11), while Stilianakis et al. has examined both (a) and (b) , and Valiakos et al. has additionally used wild bird data in complement to the epidemiological data .
The first category (a) used clinical records from the general human population as the main data source. In this case the majority of the studies (n = 23) referred to the clinical data as “confirmed cases”, meaning that the patients were confirmed through laboratory testing. Buczak et al.  and Arboleda et al.  included also cases that were considered as “possible”, meaning that the patients exhibited some of the symptoms of the infection.
Through our database search, mainly data-driven and statistical approaches were returned. 3.1. CORNELL UNIVERSITY VIA ARXIV 31/01/20 Analysis and optimal control of a malaria mathematical model under resistance and population movement. Journal of Environmental and Public Health Volume 2019, Malaria Risk Stratification and Modeling the Effect of Rainfall on Malaria Incidence in Eritrea. UNIVERSITE PARIS SACLAY - 2018 - Thèse en ligne : Modèle de mélange et modèles linéaires généralisés, application aux données de co-infection (arbovirus & paludisme) Abstract : We are interested, in this thesis, to the study of mixture models and generalized linear models, with an application to co-infection data between arboviruses and malaria parasites.
After a first part dedicated to the study of co-infection using a multinomial logistic model, we propose in a second part to study the mixtures of generalized linear models. The proposed method to estimate the parameters of the mixture is a combination of a moment method and a spectral method. Finally, we propose a final section for studing extreme value mixtures under random censoring. The estimation method proposed in this section is done in two steps based on the maximization of a likelihood. Résumé : Nous nous intéressons, dans cette thèse, à l'étude des modèles de mélange et des modèles linéaires généralisés, avec une application aux données de co-infection entre les arbovirus et les parasites du paludisme. PLOS 29/06/17 A spatial predictive model for malaria resurgence in central Greece integrating entomological, environmental and social data. Abstract Malaria constitutes an important cause of human mortality.
After 2009 Greece experienced a resurgence of malaria. Here, we develop a model-based framework that integrates entomological, geographical, social and environmental evidence in order to guide the mosquito control efforts and apply this framework to data from an entomological survey study conducted in Central Greece. Our results indicate that malaria transmission risk in Greece is potentially substantial. In addition, specific districts such as seaside, lakeside and rice field regions appear to represent potential malaria hotspots in Central Greece. Citation: Pergantas P, Tsatsaris A, Malesios C, Kriparakou G, Demiris N, Tselentis Y (2017) A spatial predictive model for malaria resurgence in central Greece integrating entomological, environmental and social data.
Editor: Clive Shiff, Johns Hopkins University, UNITED STATES Received: February 6, 2017; Accepted: May 19, 2017; Published: June 29, 2017. PLOS 09/05/18 Modeling the impact of Plasmodium falciparum sexual stage immunity on the composition and dynamics of the human infectious reservoir for malaria in natural settings. Abstract Malaria transmission remains high in Sub-Saharan Africa despite large-scale implementation of malaria control interventions.
A comprehensive understanding of the transmissibility of infections to mosquitoes may guide the design of more effective transmission reducing strategies. The impact of P. falciparum sexual stage immunity on the infectious reservoir for malaria has never been studied in natural settings. MALARIA JOURNAL - 2012 - Modelling malaria treatment practices in Bangladesh using spatial statistics. MATHEMATICAL BIOSCIENCES AND EGINEERING - FEV 2017 - CONTROLLING IMPORTED MALARIA CASES IN THE UNITED STATES OF AMERICA. Parasites & Vectors 25/05/17 Modelling the influence of climate on malaria occurrence in Chimoio Municipality, Mozambique. Figures 1 and 2 present box plots of malaria and climate variables for Chimoio by malaria season (October to September 2006 to 2014) along with values for maximum, minimum and the median.
Between 2006 and 2014, 490,561 cases of malaria were recorded in Chimoio. The weekly average number of malaria cases was 1048 (SD = 642.12). There were differences in the mean number of cases between malaria season years (F (8,51) = 22.1, P = 0.0001). Week 40 (in 2006/2007) presented the lowest number of cases, 222, and, week 21 (in 2013/2014) presented the highest number of cases, 4438. The maximum temperature weekly average was 26.9 °C (SD = 3.28), and there were no differences in TM between malaria season years (F (8,51) = 2.46, P = 0.0132).
Trends in Parasitology - MARS 2017 - Mathematical Modelling to Guide Drug Development for Malaria Elimination. IRD - SEPT 2009 - SCIENCES AU SUD - Paludisme : cartographier les risques. MALARIA JOURNAL 23/12/15 Prospects and recommendations for risk mapping to improve strategies for effective malaria vector control interventions in Latin America. MALARIA JOURNAL 03/11/14 Fine-scale malaria risk mapping from routine aggregated case data. As malaria transmission declines, it becomes increasingly focal.
In order to target resources accordingly, an understanding of transmission risk over fine scales is required. Traditionally, such risk mapping is done using cross-sectional infection prevalence surveys, such as malaria indicator surveys. In low transmission settings such surveys do not produce the number of positives required for risk mapping or decision making . While a handful of malaria elimination programmes, such as Swaziland  and the Solomon Islands and Vanuatu , map the households of malaria cases facilitating fine scale risk mapping, most countries have to rely on health facility level case data. PLOS 04/11/16 Mapping risk of malaria transmission in Mainland Portugal using a mathematical modelling approach. Int. J. Environ. Res. Public Health 2015, 12(6), Modelling Anopheles gambiae s.s. Population Dynamics with Temperature- and Age-Dependent Survival.
J. Environ. Res. Public Health 2015, 12(6), 5975-6005; doi:10.3390/ijerph120605975 (registering DOI) 1 Department of Infectious Disease Epidemiology, Faculty of Medicine, School of Public Health, Imperial College London St Mary's Campus, Norfolk Place, London W2 1PG, UK 2 Energy, Environment, and Water Research Center, The Cyprus Institute, Nicosia 2121, Cyprus 3 Department of Public Health and Policy, Faculty of Health and Life Sciences, University of Liverpool, Liverpool L69 3GL, UK * Author to whom correspondence should be addressed.
Received: 31 March 2015 / Revised: 21 May 2015 / Accepted: 21 May 2015 / Published: 28 May 2015 Climate change and global warming are emerging as important threats to human health, particularly through the potential increase in vector- and water-borne diseases. MDPI and ACS Style. PARASITES & VECTORS - 2015 - Bayesian variable selection in modelling geographical heterogeneity in malaria transmission from sparse data: an application to Nouna Health and Demographic Surveillance System (HDSS) data, Burkina Faso. Int J Health Geogr. 2014; 13: 29 Spatial-explicit modeling of social vulnerability to malaria in East Africa. PARASITES & VECTORS - 2014 - Multilevel and geo-statistical modeling of malaria risk in children of Burkina Faso. ILRI 15/06/14 Poster : Modelling malaria transmission dynamics in irrigated areas of Tana River County, Kenya.
SWISS PROGRAMME FOR RESEARCH ON GLOBAL ISSUES FOR DEVELOPMENT – MARS 2014 - project : Modelling spatio-temporal dynamics of malaria. PLOS 07/10/14 Modeling the Cost Effectiveness of Malaria Control Interventions in the Highlands of Western Kenya. Abstract Introduction Tools that allow for in silico optimization of available malaria control strategies can assist the decision-making process for prioritizing interventions. The OpenMalaria stochastic simulation modeling platform can be applied to simulate the impact of interventions singly and in combination as implemented in Rachuonyo South District, western Kenya, to support this goal.
Methods. Trans R Soc Trop Med Hyg 20/05/14 A Bayesian multinomial modeling of spatial pattern of co-morbidity of malaria and non-malarial febrile illness among young children in Nigeria. TRENDS IN PARASITOLOGY - OCT 2013 - Estimating malaria transmission through mathematical models. Opinion 1 Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, Postfach, 4002 Basel, Switzerland2 University of Basel, Petersplatz 1, 4003 Basel, Switzerland Available online 1 September 2013 Choose an option to locate/access this article: Check if you have access through your login credentials or your institution Check access doi:10.1016/j.pt.2013.08.001. University of Notre Dame (Indiana) - DEC 2013 - thèse en ligne : A CASE STUDY OF COLLECTING PDA-BASED GEO-TAGGED MALARIA-RELATED SURVEY DATA, AND AN AGENT-BASED ENTOMOLOGICAL MODEL WITH TWO APPLICATIONS. University of Naples - 2013 - Analysis of a malaria model with mosquito host choice and bed–net control.
PARASITES AND VECTORS 12/03/14 Spatio-temporal analysis of abundances of three malaria vector species in southern Benin using zero-truncated models. 19th International Congress on Modelling and Simulation, Perth, Australia, 12–16 December 2011 Spatio-temporal modelling of malaria incidence for evaluation of public health policy interventions in Ghana, West Africa.
Infectious Diseases of Poverty 2012, 1:11 Malaria transmission modelling: a network perspective. The key concepts, their corresponding representative examples, and publications that we reviewed are summarized in Table 1. As depicted in Figure 1, they constitute four distinct approaches. In what follows, we will present our findings and observations. Table 1. A summary of key concepts, representative examples, and corresponding references Figure 1. UNIVERSITE DE BALE - 2013 - Thèse en ligne : Mathematical modelling of mosquito dispersal for malaria vector control. IOSR Journal of Mathematics - SEPT-OCT 2012 - Mathematical modelling of Malaria transmission in North Senatorial zone of Taraba. Journal of Biological Dynamics 16/03/11 Modelling of transgenic mosquitoes and impact on malaria transmission. PLOS 31/05/12 Simplified Models of Vector Control Impact upon Malaria Transmission by Zoophagic Mosquitoes.
Background High coverage of personal protection measures that kill mosquitoes dramatically reduce malaria transmission where vector populations depend upon human blood. However, most primary malaria vectors outside of sub-Saharan Africa can be classified as “very zoophagic,” meaning they feed occasionally (<10% of blood meals) upon humans, so personal protection interventions have negligible impact upon their survival.
Methods and Findings We extended a published malaria transmission model to examine the relationship between transmission, control, and the baseline proportion of bloodmeals obtained from humans (human blood index). Conclusions Figures. MALARIA ATLAS PROJECT Le principe fondamental de MAP est de créer une base de données solide pour nos modèles d'endémicité palud. UNIVERSITY OF WISCONSIN 13/01/12 Modeling the impacts of global warming on predation and biotic resistance: mosquitoes, damselfl. UNIVERSITY OF LEEDS - 2010 - Modelling Malaria Transmission Potential for Climate Scenarios in West Africa and Europe.
White et al. Parasites & Vectors 2011, 4:153 Modelling the impact of vector control interventions on Anopheles gambiae populatio.
White et al. Parasites & Vectors 2011, 4:153 Modelling the impact of vector control interventions on Anopheles gambiae population dynamics – guatemalt
Malaria Journal 2013, 12:28 A dynamic model of some malaria-transmitting anopheline mosquitoes of the Afrotropical region. I. Mo. Université Montpellier II 17/12/12 Thèse en ligne : Modélisation du risque d'exposition aux moustiques vecteurs de Plasmodium sp.
Université Montpellier II 17/12/12 Thèse en ligne : Modélisation du risque d'exposition aux moustiques vecteurs de Plasmodium spp. dans un contexte de lutte anti-vectorielle. – guatemalt