Using heterogeneous data to identify signatures of dengue outbreaks at fine spatiotemporal scales across Brazil

10.1371/journal.pntd.0009392

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Bibliographic Details
Main Authors:	Castro, LA, Generous, N, Luo, W, Pastore y Piontti, A, Martinez, K, Gomes, MFC, Osthus, D, Fairchild, G, Ziemann, A, Vespignani, A, Santillana, M, Manore, CA, Del Valle, SY
Other Authors:	GEOGRAPHY
Format:	Article
Published:	Public Library of Science (PLoS) 2022
Subjects:	Brazil Dengue Disease Outbreaks Forecasting Humans Models, Statistical Seasons Weather
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/229361
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-229361
record_format	dspace
spelling	sg-nus-scholar.10635-2293612024-11-11T17:23:44Z Using heterogeneous data to identify signatures of dengue outbreaks at fine spatiotemporal scales across Brazil Castro, LA Generous, N Luo, W Pastore y Piontti, A Martinez, K Gomes, MFC Osthus, D Fairchild, G Ziemann, A Vespignani, A Santillana, M Manore, CA Del Valle, SY GEOGRAPHY Dr Wei Luo Brazil Dengue Disease Outbreaks Forecasting Humans Models, Statistical Seasons Weather 10.1371/journal.pntd.0009392 PLoS Neglected Tropical Diseases 15 5 e0009392- 2022-07-28T07:07:08Z 2022-07-28T07:07:08Z 2021-05-01 2022-07-19T02:35:13Z Article Castro, LA, Generous, N, Luo, W, Pastore y Piontti, A, Martinez, K, Gomes, MFC, Osthus, D, Fairchild, G, Ziemann, A, Vespignani, A, Santillana, M, Manore, CA, Del Valle, SY (2021-05-01). Using heterogeneous data to identify signatures of dengue outbreaks at fine spatiotemporal scales across Brazil. PLoS Neglected Tropical Diseases 15 (5) : e0009392-. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pntd.0009392 19352727 19352735 https://scholarbank.nus.edu.sg/handle/10635/229361 Public Library of Science (PLoS) Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Brazil Dengue Disease Outbreaks Forecasting Humans Models, Statistical Seasons Weather
spellingShingle	Brazil Dengue Disease Outbreaks Forecasting Humans Models, Statistical Seasons Weather Castro, LA Generous, N Luo, W Pastore y Piontti, A Martinez, K Gomes, MFC Osthus, D Fairchild, G Ziemann, A Vespignani, A Santillana, M Manore, CA Del Valle, SY Using heterogeneous data to identify signatures of dengue outbreaks at fine spatiotemporal scales across Brazil
description	10.1371/journal.pntd.0009392
author2	GEOGRAPHY
author_facet	GEOGRAPHY Castro, LA Generous, N Luo, W Pastore y Piontti, A Martinez, K Gomes, MFC Osthus, D Fairchild, G Ziemann, A Vespignani, A Santillana, M Manore, CA Del Valle, SY
format	Article
author	Castro, LA Generous, N Luo, W Pastore y Piontti, A Martinez, K Gomes, MFC Osthus, D Fairchild, G Ziemann, A Vespignani, A Santillana, M Manore, CA Del Valle, SY
author_sort	Castro, LA
title	Using heterogeneous data to identify signatures of dengue outbreaks at fine spatiotemporal scales across Brazil
title_short	Using heterogeneous data to identify signatures of dengue outbreaks at fine spatiotemporal scales across Brazil
title_full	Using heterogeneous data to identify signatures of dengue outbreaks at fine spatiotemporal scales across Brazil
title_fullStr	Using heterogeneous data to identify signatures of dengue outbreaks at fine spatiotemporal scales across Brazil
title_full_unstemmed	Using heterogeneous data to identify signatures of dengue outbreaks at fine spatiotemporal scales across Brazil
title_sort	using heterogeneous data to identify signatures of dengue outbreaks at fine spatiotemporal scales across brazil
publisher	Public Library of Science (PLoS)
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/229361
_version_	1821233291654594560

Using heterogeneous data to identify signatures of dengue outbreaks at fine spatiotemporal scales across Brazil

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