Comment nous aidons à lutter contre le paludisme

Tout ce que fait MAP est axé sur l'obtention d'un impact. Cela n'est possible qu'en s'engageant auprès de ceux qui prennent les décisions qui comptent, notamment les décideurs politiques, les bailleurs de fonds et le personnel des programmes de lutte contre le paludisme.

cas d'utilisation

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Soutenir les efforts de contrôle et d'élimination du paludisme en Zambie grâce à la modélisation géospatiale

Lorem ipsum dolor sit amet consectetur adipisicing elit. Voluptas repellat explicabo quod fuga vel eius sequi voluptate. Necessitatibus, illo voluptate corporis, non harum repellat laudantium error praesentium, explicabo voluptates accusamus ?

image

Soutenir les efforts de contrôle et d'élimination du paludisme en Zambie grâce à la modélisation géospatiale

Lorem ipsum dolor sit amet consectetur adipisicing elit. Voluptas repellat explicabo quod fuga vel eius sequi voluptate. Necessitatibus, illo voluptate corporis, non harum repellat laudantium error praesentium, explicabo voluptates accusamus ?

image

Soutenir les efforts de contrôle et d'élimination du paludisme en Zambie grâce à la modélisation géospatiale

Lorem ipsum dolor sit amet consectetur adipisicing elit. Voluptas repellat explicabo quod fuga vel eius sequi voluptate. Necessitatibus, illo voluptate corporis, non harum repellat laudantium error praesentium, explicabo voluptates accusamus ?

image

Soutenir les efforts de contrôle et d'élimination du paludisme en Zambie grâce à la modélisation géospatiale

Lorem ipsum dolor sit amet consectetur adipisicing elit. Voluptas repellat explicabo quod fuga vel eius sequi voluptate. Necessitatibus, illo voluptate corporis, non harum repellat laudantium error praesentium, explicabo voluptates accusamus ?

image

Soutenir les efforts de contrôle et d'élimination du paludisme en Zambie grâce à la modélisation géospatiale

Lorem ipsum dolor sit amet consectetur adipisicing elit. Voluptas repellat explicabo quod fuga vel eius sequi voluptate. Necessitatibus, illo voluptate corporis, non harum repellat laudantium error praesentium, explicabo voluptates accusamus ?

image

Soutenir les efforts de contrôle et d'élimination du paludisme en Zambie grâce à la modélisation géospatiale

Lorem ipsum dolor sit amet consectetur adipisicing elit. Voluptas repellat explicabo quod fuga vel eius sequi voluptate. Necessitatibus, illo voluptate corporis, non harum repellat laudantium error praesentium, explicabo voluptates accusamus ?

Notre impact

Ce que nous faisons

MAP is dedicated to driving positive impact in malaria policy, funding decisions, scientific research and capacity strengthening. We prioritize research excellence in generating analytical insights that accelerate progress towards malaria eradication.

Our pioneering global map of Plasmodium falciparum malaria endemicity has served as a crucial resource for global malaria strategy and policy formulation, national program implementation, and monitoring efforts. For years, we have maintained the largest and most comprehensive malaria data repository which provides core malaria analytics such as malaria burden and intervention coverage and cause-specific mortality estimation, to World Health Organization’s annual World Malaria Report. MAP’s analytical insights also guide decisions on RTSS vaccine prioritisation, the Global Fund’s allocation and replenishment decisions across diseases and countries, and inform progress, projections, and advocacy for investment cases. We are also key contributors to the Institute of Health Metrics’ Global Burden of Disease study.

Our estimates and model outputs are used by a range of downstream stakeholders including intergovernmental organizations, funding and implementing partners, modeling groups and research organizations. Notable examples include contributions to the World Bank’s global database, ALMA’s scorecard, Malaria No More Commonwealth Dashboard and the President’s Malaria Initiative annual performance monitoring and reporting to congress

MAP’s role in creating robust evidence for national malaria policy and decision-making is further strengthened by presence on the African continent, where we provide tailored, timely support to 40 malaria-endemic countries. This support is closely integrated with efforts to strengthen research leadership in geospatial malaria modelling to ensure sustained impact.

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Publications

Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and…

published 21 September 2020
Authors: Daniel J Weiss et al

Maps and metrics of insecticide-treated net access, use, and nets-per-capita in Africa…

published 11 June 2021
Authors: Amelia Bertozzi-Villa et al

Mapping the global endemicity and clinical burden of Plasmodium vivax, 2000–17: a…

published 19 June 2019
Authors: Katherine E Battle et al

Mapping the global prevalence, incidence, and mortality of Plasmodium falciparum, 2000–17: a…

published 19 June 2019
Authors: Daniel J Weiss et al

Plasmodium falciparum Mortality in Africa between 1990 and 2015

published 21 June 2017
Authors: N/A

Evaluating COVID-19-Related Disruptions to Effective Malaria Case Management in 2020–2021 and Its…

published 05 April 2023
Authors: Paulina A. Dzianach et al

Publications des chercheurs

The International Limits and Population at Risk of Plasmodium vivax Transmission in…

published 03 August 2010
Authors: Carlos A. Guerra et al

Une carte mondiale du paludisme : Endémicité de Plasmodium falciparum en 2007

published 19 March 2009
Authors: Simon I Hay et al

Defining the relationship between Plasmodium falciparum parasite rate and clinical disease: statistical…

published 05 August 2009
Authors: Anand P Patil et al

Spatial Predictions of Rhodesian Human African Trypanosomiasis (Sleeping Sickness) Prevalence in Kaberamaido…

published 14 December 2009
Authors: Nicola A. Batchelor et al

Les risques d'infection par le paludisme au Kenya en 2009

published 23 November 2009
Authors: Abdisalan M Noor et al

Developing Geostatistical Space–Time Models to Predict Outpatient Treatment Burdens from Incomplete National…

published 18 March 2008
Authors: Peter W. Gething et al

A local space–time kriging approach applied to a national outpatient malaria data…

published 14 June 2007
Authors: P.W. Gething et al

Information for decision making from imperfect national data: tracking major changes in…

published 11 December 2007
Authors: Peter W Gething et al

Improving Imperfect Data from Health Management Information Systems in Africa Using Space–Time…

published 23 May 2006
Authors: Peter W Gething et al

Empirical modelling of government health service use by children with fevers in…

published 22 June 2004
Authors: Peter W. Gething et al

Fine-scale maps of malaria incidence to inform risk stratification in Laos

published 25 June 2024
Authors: Su Yun Kang et al

disaggregation: An R Package for Bayesian Spatial Disaggregation Modeling

published 01 May 2023
Authors: Anita K. Nandi et al
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