Malaria Journal

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Spatially-explicit risk profiling of Plasmodium falciparum infections at a small scale: a geostatistical modelling approach

Kigbafori D Silué, Giovanna Raso*, Ahoua Yapi, Penelope Vounatsou, Marcel Tanner, Eliézer K N'Goran and Jürg Utzinger

Malaria Journal 2008, 7:111 doi:10.1186/1475-2875-7-111

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Research   Open Access

Geo-additive modelling of malaria in Burundi

Hermenegilde Nkurunziza, Albrecht Gebhardt, Jürgen Pilz Malaria Journal 2011, 10:234 (11 August 2011)

Models suggest a strong positive association between malaria incidence in a given month and the minimum temperature of the previous month. Non-climatic variables include socio-economic conditions, food shortage, limited access to healthcare service, precarious housing, promiscuity, poor hygienic conditions, limited access to drinking water, land use and displacement of the population.

Research   Open Access

Spatial risk profiling of Plasmodium falciparum parasitaemia in a high endemicity area in Côte d'Ivoire

Giovanna Raso, Kigbafori D Silué, Penelope Vounatsou, Burton H Singer, Ahoua Yapi, Marcel Tanner, Jürg Utzinger, Eliézer K N'Goran Malaria Journal 2009, 8:252 (11 November 2009)

This paper looks at the spatial distribution of risk in a high endemicity area in Cote d’Ivoire using parasite prevalence data from school children and social and environmental co-variates. The authors use both stationary and non-stationary Bayesian geostatistical models to map disease distribution.

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Modelling malaria incidence with environmental dependency in a locality of Sudanese savannah area, Mali

Jean Gaudart, Ousmane Touré, Nadine Dessay, A lassane Dicko, Stéphane Ranque, Loic Forest, Jacques Demongeot, Ogobara K Doumbo Malaria Journal 2009, 8:61 (10 April 2009)

This paper reports an ambitious attempt to produce a spatially structured model for malaria transmission in Mali, based on remote sensed vegetation indices (NDVI), together with an SIRS type transmission model, calibrated using data from the village of Bancoumana.

Research   Open Access

Spatio-seasonal modeling of the incidence rate of malaria in Mozambique

Rosa Abellana, Carlos Ascaso, John Aponte, Francisco Saute, Delino Nhalungo, Ariel Nhacolo, Pedro Alonso Malaria Journal 2008, 7:228 (31 October 2008)

The paper offers important insights to the possibility of disentangling the effects of two important dimensions for malaria incidence studies: time and space. The use of spatial models to understand the relationship of the incidence of malaria, including spatial correlation nested to climatic season is interesting and appropriate.