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Modélisation et paludisme

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Parasites & Vectors 25/05/17 Modelling the influence of climate on malaria occurrence in Chimoio Municipality, Mozambique. Although malaria shows seasonality according to the climate, very few studies have been conducted on the association between the malaria occurrences with climate variables using weekly resolution and with high malaria occurrence volume in the Southern region of Africa, giving more accurate results.

Parasites & Vectors 25/05/17 Modelling the influence of climate on malaria occurrence in Chimoio Municipality, Mozambique

In this study, malaria cases are increasing, contrary to the decreasing tendency reported in neighbouring Malawi [16], and, South Africa [17]. This could be probably due to improved accessibility to health centres and decreased vector control due to the scarcity of resources for malaria control. 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. Vector control in Latin America is increasingly implemented based on principles and policies of IVM, but operations are yet to be consistently employed throughout the region.

MALARIA JOURNAL 23/12/15 Prospects and recommendations for risk mapping to improve strategies for effective malaria vector control interventions in Latin America

Being evidence-based, the IVM approach advocates that vector control interventions be introduced and implemented based on prior information [8]. However, this does not always happen in practice. In an assessment of malaria control strategies conducted in Ecuador, Peru, Colombia, Bolivia and Guyana, Flores et al. [16] observed that information on research, extent and quality of IRS application was incomplete. Likewise LLINs were administered without prior studies to determine target populations, as well as understand vector behaviour or their response to insecticides in all the countries except Bolivia and Colombia [16, 36]. Whereas coverage and delivery of vector control tools to populations has greatly improved in the past decade, strict compliance with technical guidelines on the tools are still lacking.

MALARIA JOURNAL 03/11/14 Fine-scale malaria risk mapping from routine aggregated case data. As malaria transmission declines, it becomes increasingly focal.

MALARIA JOURNAL 03/11/14 Fine-scale malaria risk mapping from routine aggregated case data

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 [4]. While a handful of malaria elimination programmes, such as Swaziland [5] and the Solomon Islands and Vanuatu [31], map the households of malaria cases facilitating fine scale risk mapping, most countries have to rely on health facility level case data.

This paper describes a method that uses routine health facility malaria case data in conjunction with freely available remotely sensed data to predict malaria risk, and associated uncertainty, down to a scale of 1 km2. 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. Int.

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.

PLOS 07/10/14 Modeling the Cost Effectiveness of Malaria Control Interventions in the Highlands of Western Kenya

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 Combinations of malaria interventions were simulated using a previously-published, validated model of malaria epidemiology and control in the study area. Results The intervention strategy with the greatest simulated health impact employed long lasting insecticide treated net (LLIN) use by 80% of the population, 90% of households covered by indoor residual spraying (IRS) with deployment starting in April, and intermittent screen and treat (IST) of school children using Artemether lumefantrine (AL) with 80% coverage twice per term.

Conclusions Copyright: © 2014 Stuckey et al. Introduction 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 Get rights and content Highlights Accurate measures of transmission are necessary for malaria elimination.

TRENDS IN PARASITOLOGY - OCT 2013 - Estimating malaria transmission through mathematical models

Different settings are conducive to different measures of transmission. Mathematical models provide a means to translate between different measures of transmission and disease burden. The effect of seasonality on the relationship between malaria measures is crucial. 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.

Infectious Diseases of Poverty 2012, 1:11 Malaria transmission modelling: a network perspective

As depicted in Figure 1, they constitute four distinct approaches. In what follows, we will present our findings and observations. Table 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.

PLOS 31/05/12 Simplified Models of Vector Control Impact upon Malaria Transmission by Zoophagic Mosquitoes.

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