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Introduction

This chapter provides an overview of the basic theory of early warning for infectious diseases, including definitions of surveillance, early warning and prediction; the characteristics of early warning (surveillance, information for action, timeliness, insufficiency, and the uncertainty of informati...

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Detalles Bibliográficos
Autores principales: Yang, Weizhong, Lan, Yajia, Sun, Qiao, Wang, Jinfeng, Li, Zhongjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7149691/
http://dx.doi.org/10.1016/B978-0-12-812343-0.00001-1
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author Yang, Weizhong
Lan, Yajia
Sun, Qiao
Wang, Jinfeng
Li, Zhongjie
author_facet Yang, Weizhong
Lan, Yajia
Sun, Qiao
Wang, Jinfeng
Li, Zhongjie
author_sort Yang, Weizhong
collection PubMed
description This chapter provides an overview of the basic theory of early warning for infectious diseases, including definitions of surveillance, early warning and prediction; the characteristics of early warning (surveillance, information for action, timeliness, insufficiency, and the uncertainty of information); a conceptual framework of an early warning system for infectious diseases (the target setting, data collection and analysis, disseminating early warning signals, response actions, and evaluation); classifying early warning based on the data sources (case-based, event-based, laboratory-based, or syndromic surveillance). The significance of early warning for infectious diseases, the status quo and research and application trends in the field are also highlighted.
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spelling pubmed-71496912020-04-13 Introduction Yang, Weizhong Lan, Yajia Sun, Qiao Wang, Jinfeng Li, Zhongjie Early Warning for Infectious Disease Outbreak Article This chapter provides an overview of the basic theory of early warning for infectious diseases, including definitions of surveillance, early warning and prediction; the characteristics of early warning (surveillance, information for action, timeliness, insufficiency, and the uncertainty of information); a conceptual framework of an early warning system for infectious diseases (the target setting, data collection and analysis, disseminating early warning signals, response actions, and evaluation); classifying early warning based on the data sources (case-based, event-based, laboratory-based, or syndromic surveillance). The significance of early warning for infectious diseases, the status quo and research and application trends in the field are also highlighted. 2017 2017-05-05 /pmc/articles/PMC7149691/ http://dx.doi.org/10.1016/B978-0-12-812343-0.00001-1 Text en Copyright © 2017 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Yang, Weizhong
Lan, Yajia
Sun, Qiao
Wang, Jinfeng
Li, Zhongjie
Introduction
title Introduction
title_full Introduction
title_fullStr Introduction
title_full_unstemmed Introduction
title_short Introduction
title_sort introduction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7149691/
http://dx.doi.org/10.1016/B978-0-12-812343-0.00001-1
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