Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil is a research paper published in PLoS neglected tropical diseases (2021). On theSindex it has a DataRank of 0. It has been cited 24 times.
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NIH/NIGMS
Grant: R01GM130668-02
National University of Singapore
Grant: WBS R-109-000- 270-133
National Science Foundation
Grant: DMS-1551229
Los Alamos National Laboratory
Grant: 20190581ECR
Los Alamos National Laboratory
Grant: 20180740ER
Los Alamos National Laboratory
Grant: 20200033DR
NIGMS NIH HHS
Grant: R01 GM130668
National Institutes of Health
Grant: 5R01GM130668-05
Development of an Open-Source and Data-Driven Modeling Platform to Monitor and Forecast Disease Activity
National Science Foundation
Grant: 1551229
EDT: Front Range Applied Mathematics Exchanges and Workshops
Johnson and Johnson Corporate Citizenship Trust and the Johnson and Johnson Global Public Health
U.S. Department of Energy
FWCI
3.23
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals