Estimating incidence of infection from diverse data sources: Zika virus in Puerto Rico, 2016.

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Bibliographic Details
Title:	Estimating incidence of infection from diverse data sources: Zika virus in Puerto Rico, 2016.
Authors:	Quandelacy TM; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, United States of America., Healy JM; Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Greening B; Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Rodriguez DM; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, United States of America., Chung KW; Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Kuehnert MJ; Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Biggerstaff BJ; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, Colorado, United States of America., Dirlikov E; Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Mier-Y-Teran-Romero L; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, United States of America., Sharp TM; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, United States of America.; United States Public Health Service, Silver Springs, Maryland, United States of America., Waterman S; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, United States of America.; United States Public Health Service, Silver Springs, Maryland, United States of America., Johansson MA; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, United States of America.; Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America.
Source:	PLoS computational biology [PLoS Comput Biol] 2021 Mar 30; Vol. 17 (3), pp. e1008812. Date of Electronic Publication: 2021 Mar 30 (Print Publication: 2021).
Publication Type:	Journal Article
Journal Info:	Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database:	MEDLINE Ultimate

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ISSN:	1553-7358
DOI:	10.1371/journal.pcbi.1008812