Climate and leishmaniasis in French Guiana.
To study the link between climatic variables and the incidence of leishmaniasis a study was conducted in Cayenne, French Guiana. Patients infected between January 1994 and December 2010. Meteorological data were studied in relation to the incidence of leishmaniasis using an ARIMA model. In the final model, the infections were negatively correlated with rainfall (with a 2-month lag) and with the number of days with rainfall > 50 mm (lags of 4 and 7 months). The variables that were positively correlated were temperature and the Multivariate El Niño Southern Oscillation Index with lags of 8 and 4 months, respectively. Significantly greater correlations were observed in March for rainfall and in November for the Multivariate El Niño/Southern Oscillation Index. Climate thus seems to be a non-negligible explanatory variable for the fluctuations of leishmaniasis. A decrease in rainfall is linked to increased cases 2 months later. This easily perceptible point could lead to an interesting prevention message.
Centre d'Investigation Clinique Epidémiologie Clinique Antilles Guyane CIC-EC CIE 802, Cayenne General Hospital, Cayenne, French Guiana. mathieu.nacher@ch-cayenne.fr
Amaury
A
Roger
Mathieu
M
Nacher
Matthieu
M
Hanf
Anne Sophie
AS
Drogoul
Antoine
A
Adenis
Celia
C
Basurko
Julie
J
Dufour
Dominique
D
Sainte Marie
Denis
D
Blanchet
Stephane
S
Simon
Bernard
B
Carme
Pierre
P
Couppié
D002980:Climate; D016054:DNA, Protozoan / Q000302:isolation & purification; D059000:El Nino-Southern Oscillation; D005616:French Guiana / Q000453:epidemiology; D006801:Humans; D006813:Humidity; D015994:Incidence; D007891:Leishmania / Q000302:isolation & purification; D007896:Leishmaniasis / Q000175:diagnosis / Q000453:epidemiology*; D015999:Multivariate Analysis; D011891:Rain; D013696:Temperature; D014887:Weather
D016054:DNA, Protozoan