Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil.

ABSTRACT: Dengue virus remains a significant public health challenge in Brazil, and seasonal preparation efforts are hindered by variable intra- and interseasonal dynamics. Here, we present a framework for characterizing weekly dengue activity at the Brazilian mesoregion level from 2010-2016 as time series properties that are relevant to forecasting efforts, focusing on outbreak shape, seasonal timing, and pairwise correlations in magnitude and onset. In addition, we use a combination of 18 satellite remote sensing imagery, weather, clinical, mobility, and census data streams and regression methods to identify a parsimonious set of covariates that explain each time series property. The models explained 54% of the variation in outbreak shape, 38% of seasonal onset, 34% of pairwise correlation in outb

SUBMITTER: Castro LA 

PROVIDER: S-EPMC8174735 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature