Estimating the prevalence of infectious diseases from under-reported age-dependent compulsorily notification databases.

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Bibliographic Details
Title:	Estimating the prevalence of infectious diseases from under-reported age-dependent compulsorily notification databases.
Authors:	Amaku M; LIM01-Hospital de Clínicas, Faculdade de Medicina Universidade de São Paulo, São Paulo, SP, Brazil., Burattini MN; LIM01-Hospital de Clínicas, Faculdade de Medicina Universidade de São Paulo, São Paulo, SP, Brazil.; Hospital São Paulo, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil., Chaib E; LIM01-Hospital de Clínicas, Faculdade de Medicina Universidade de São Paulo, São Paulo, SP, Brazil., Coutinho FAB; LIM01-Hospital de Clínicas, Faculdade de Medicina Universidade de São Paulo, São Paulo, SP, Brazil., Greenhalgh D; Department of Mathematics and Statistics, The University of Strathclyde, Glasgow, Scotland, UK., Lopez LF; LIM01-Hospital de Clínicas, Faculdade de Medicina Universidade de São Paulo, São Paulo, SP, Brazil.; Center for Internet Augmented Research & Assessment, Florida International University, Miami, FL, USA., Massad E; LIM01-Hospital de Clínicas, Faculdade de Medicina Universidade de São Paulo, São Paulo, SP, Brazil. edmassad@dim.fm.usp.br.; London School of Hygiene and Tropical Medicine, London, UK. edmassad@dim.fm.usp.br.
Source:	Theoretical biology & medical modelling [Theor Biol Med Model] 2017 Dec 12; Vol. 14 (1), pp. 23. Date of Electronic Publication: 2017 Dec 12.
Publication Type:	Journal Article
Journal Info:	Publisher: BioMed Central Country of Publication: England NLM ID: 101224383 Publication Model: Electronic Cited Medium: Internet ISSN: 1742-4682 (Electronic) Linking ISSN: 17424682 NLM ISO Abbreviation: Theor Biol Med Model Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1742-4682
DOI:	10.1186/s12976-017-0069-2