Exploring the delayed and nonlinear impact of hydrometeorological extremes on dengue risk along an urban gradient in Brazil: a space-time modelling study

Sophie Lee, Kathleen M O Reilly, Oliver J Brady, Leonardo Bastos, Gabriel Carrasco-Escobar, Rafael de Castro Catão, Felipe J. Colón-González, Christovam Barcellos, Marilia Sá Carvalho, Marta Blangiardo, Haavard Rue, Antonio Gasparrini, Rachel Lowe

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish (US)
JournalAccepted by The Lancet Planetary Health
StatePublished - 2020

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