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An ensemble forecast system for tracking dynamics of dengue outbreaks and its validation in China

An ensemble forecast system for tracking dynamics of dengue outbreaks and its validation in China

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2263da1137f84e7197b67af10ab6310c

An ensemble forecast system for tracking dynamics of dengue outbreaks and its validation in China

About this item

Full title

An ensemble forecast system for tracking dynamics of dengue outbreaks and its validation in China

Publisher

San Francisco, CA USA: Public Library of Science

Journal title

PLoS computational biology, 2022-06, Vol.18 (6), p.e1010218-e1010218

Language

English

Formats

Publication information

Publisher

San Francisco, CA USA: Public Library of Science

More information

Scope and Contents

Contents

As a common vector-borne disease, dengue fever remains challenging to predict due to large variations in epidemic size across seasons driven by a number of factors including population susceptibility, mosquito density, meteorological conditions, geographical factors, and human mobility. An ensemble forecast system for dengue fever is first proposed...

Alternative Titles

Full title

An ensemble forecast system for tracking dynamics of dengue outbreaks and its validation in China

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2263da1137f84e7197b67af10ab6310c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2263da1137f84e7197b67af10ab6310c

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1010218

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