Mady Cissoko1,2,3, Issaka Sagara1,2, Moussa H Sankaré3, Sokhna Dieng2, Abdoulaye Guindo1,4, Zoumana Doumbia3, Balam Allasseini3, Diahara Traore5, Seydou Fomba5, Marc Karim Bendiane2, Jordi Landier2, Nadine Dessay6, Jean Gaudart1,7. 1. Malaria Research and Training Center-Ogobara K. Doumbo (MRTC-OKD), FMOS-FAPH, Mali-NIAID-ICER, Université des Sciences, des Techniques et des Technologies de Bamako, Bamako 1805, Mali. 2. Aix Marseille Université (AMU), Institut national de la santé et de la recherche médicale (INSERM), Institut de Recherche pour le Développement (IRD), 13005 Marseille, France. 3. Direction Régionale de la Santé de Tombouctou, Tombouctou 59, Mali. 4. Mère et Enfant face aux Infections Tropicales (MERIT), IRD, Université Paris 5, 75006 Paris, France. 5. Programme National de la Lutte contre le Paludisme (PNLP Mali), Bamako 233, Mali. 6. ESPACE-DEV, UMR228 IRD/UM/UR/UG/UA, Institut de Recherche pour le Développement (IRD), 34093 Montpellier, France. 7. Aix Marseille Université, APHM, INSERM, IRD, SESSTIM, Hop Timone, BioSTIC, Biostatistic & ICT, 13005 Marseille, France.
Abstract
Background: According to the World Health Organization, there were more than 228 million cases of malaria globally in 2018, with 93% of cases occurring in Africa; in Mali, a 13% increase in the number of cases was observed between 2015 and 2018; this study aimed to evaluate the impact of meteorological and environmental factors on the geo-epidemiology of malaria in the health district of Dire, Mali. Methods: Meteorological and environmental variables were synthesized using principal component analysis and multiple correspondence analysis, the relationship between malaria incidence and synthetic indicators was determined using a multivariate general additive model; hotspots were detected by SaTScan. Results: Malaria incidence showed high inter and intra-annual variability; the period of high transmission lasted from September to February; health areas characterized by proximity to the river, propensity for flooding and high agricultural yield were the most at risk, with an incidence rate ratio of 2.21 with confidence intervals (95% CI: 1.85-2.58); malaria incidence in Dire declined from 120 to 20 cases per 10,000 person-weeks between 2013 and 2017. Conclusion: The identification of areas and periods of high transmission can help improve malaria control strategies.
Background: According to the World Health Organization, there were more than 228 million cases of malaria globally in 2018, with 93% of cases occurring in Africa; in Mali, a 13% increase in the number of cases was observed between 2015 and 2018; this study aimed to evaluate the impact of meteorological and environmental factors on the geo-epidemiology of malaria in the health district of Dire, Mali. Methods: Meteorological and environmental variables were synthesized using principal component analysis and multiple correspondence analysis, the relationship between malaria incidence and synthetic indicators was determined using a multivariate general additive model; hotspots were detected by SaTScan. Results:Malaria incidence showed high inter and intra-annual variability; the period of high transmission lasted from September to February; health areas characterized by proximity to the river, propensity for flooding and high agricultural yield were the most at risk, with an incidence rate ratio of 2.21 with confidence intervals (95% CI: 1.85-2.58); malaria incidence in Dire declined from 120 to 20 cases per 10,000 person-weeks between 2013 and 2017. Conclusion: The identification of areas and periods of high transmission can help improve malaria control strategies.
Entities:
Keywords:
environment and meteorology; geo-epidemiology; hotspot and incidence; malaria; spatio-temporal analysis
Authors: Sophie A Lee; Christopher I Jarvis; W John Edmunds; Theodoros Economou; Rachel Lowe Journal: J R Soc Interface Date: 2021-05-26 Impact factor: 4.118
Authors: Jenna E Coalson; Elizabeth J Anderson; Ellen M Santos; Valerie Madera Garcia; James K Romine; Brian Dominguez; Danielle M Richard; Ashley C Little; Mary H Hayden; Kacey C Ernst Journal: Environ Health Perspect Date: 2021-09-28 Impact factor: 9.031