TY - JOUR
T1 - Spatio-temporal dynamic of malaria incidence
T2 - A comparison of two ecological zones in Mali
AU - Ateba, François Freddy
AU - Sagara, Issaka
AU - Sogoba, Nafomon
AU - Touré, Mahamoudou
AU - Konaté, Drissa
AU - Diawara, Sory Ibrahim
AU - Diakité, Séidina Aboubacar Samba
AU - Diarra, Ayouba
AU - Coulibaly, Mamadou D.
AU - Dolo, Mathias
AU - Dolo, Amagana
AU - Sacko, Aissata
AU - Thiam, Sidibe M’Baye
AU - Sissako, Aliou
AU - Sangaré, Lansana
AU - Diakité, Mahamadou
AU - Koita, Ousmane A.
AU - Cissoko, Mady
AU - Traore, Sékou Fantamady
AU - Winch, Peter John
AU - Febrero-Bande, Manuel
AU - Shaffer, Jeffrey G.
AU - Krogtad, Donald J.
AU - Marker, Hannah Catherine
AU - Doumbia, Seydou
AU - Gaudart, Jean
N1 - Publisher Copyright:
2020 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2020/7
Y1 - 2020/7
N2 - Malaria transmission largely depends on environmental, climatic, and hydrological conditions. In Mali, malaria epidemiological patterns are nested within three ecological zones. This study aimed at assessing the relationship between those conditions and the incidence of malaria in Dangassa and Koila, Mali. Malaria data was collected through passive case detection at community health facilities of each study site from June 2015 to January 2017. Climate and environmental data were obtained over the same time period from the Goddard Earth Sciences (Giovanni) platform and hydrological data from Mali hydraulic services. A generalized additive model was used to determine the lagged time between each principal component analysis derived component and the incidence of malaria cases, and also used to analyze the relationship between malaria and the lagged components in a multivariate approach. Malaria transmission patterns were bimodal at both sites, but peak and lull periods were longer lasting for Koila study site. Temperatures were associated with malaria incidence in both sites. In Dangassa, the wind speed (p = 0.005) and river heights (p = 0.010) contributed to increasing malaria incidence, in contrast to Koila, where it was humidity (p < 0.001) and vegetation (p = 0.004). The relationships between environmental factors and malaria incidence differed between the two settings, implying different malaria dynamics and adjustments in the conception and plan of interventions.
AB - Malaria transmission largely depends on environmental, climatic, and hydrological conditions. In Mali, malaria epidemiological patterns are nested within three ecological zones. This study aimed at assessing the relationship between those conditions and the incidence of malaria in Dangassa and Koila, Mali. Malaria data was collected through passive case detection at community health facilities of each study site from June 2015 to January 2017. Climate and environmental data were obtained over the same time period from the Goddard Earth Sciences (Giovanni) platform and hydrological data from Mali hydraulic services. A generalized additive model was used to determine the lagged time between each principal component analysis derived component and the incidence of malaria cases, and also used to analyze the relationship between malaria and the lagged components in a multivariate approach. Malaria transmission patterns were bimodal at both sites, but peak and lull periods were longer lasting for Koila study site. Temperatures were associated with malaria incidence in both sites. In Dangassa, the wind speed (p = 0.005) and river heights (p = 0.010) contributed to increasing malaria incidence, in contrast to Koila, where it was humidity (p < 0.001) and vegetation (p = 0.004). The relationships between environmental factors and malaria incidence differed between the two settings, implying different malaria dynamics and adjustments in the conception and plan of interventions.
KW - Generalized additive models
KW - Geo-epidemiology
KW - Lag
KW - Malaria
KW - Normalized differencevegetation index
KW - Passive case detection
KW - Plasmodium falciparum
KW - Principal components analysis
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U2 - 10.3390/ijerph17134698
DO - 10.3390/ijerph17134698
M3 - Article
C2 - 32629876
AN - SCOPUS:85087354156
SN - 1661-7827
VL - 17
SP - 1
EP - 21
JO - International journal of environmental research and public health
JF - International journal of environmental research and public health
IS - 13
M1 - 4698
ER -