TY - JOUR
T1 - Exploring the delayed and nonlinear impact of hydrometeorological extremes on dengue risk along an urban gradient in Brazil: a space-time modelling study
AU - Lee, Sophie
AU - Reilly, Kathleen M O
AU - Brady, Oliver J
AU - Bastos, Leonardo
AU - Carrasco-Escobar, Gabriel
AU - Castro Catão, Rafael de
AU - Colón-González, Felipe J.
AU - Barcellos, Christovam
AU - Sá Carvalho, Marilia
AU - Blangiardo, Marta
AU - Rue, Haavard
AU - Gasparrini, Antonio
AU - Lowe, Rachel
N1 - KAUST Repository Item: Exported on 2020-12-09
PY - 2020
Y1 - 2020
N2 - Temperature and rainfall patterns are known to influence dengue seasonality. However, the impact of extreme drought or extremely wet conditions on the timing and intensity of dengue epidemics is poorly understood. In this study, we quantify the non-linear and delayed effects of hydrometeorological extremes on dengue risk along an urban gradient in Brazil.
AB - Temperature and rainfall patterns are known to influence dengue seasonality. However, the impact of extreme drought or extremely wet conditions on the timing and intensity of dengue epidemics is poorly understood. In this study, we quantify the non-linear and delayed effects of hydrometeorological extremes on dengue risk along an urban gradient in Brazil.
UR - http://hdl.handle.net/10754/666303
M3 - Article
JO - Accepted by The Lancet Planetary Health
JF - Accepted by The Lancet Planetary Health
ER -
