Time series modeling of pertussis incidence in China from 2004 to 2018 with a novel wavelet based SARIMA-NAR hybrid model-Reference-Cited by-同舟云学术

Time series modeling of pertussis incidence in China from 2004 to 2018 with a novel wavelet based SARIMA-NAR hybrid model

Published:2018-12-26 Issue:12 Volume:13 Page:e0208404
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Wang Yongbin^ORCID,Xu Chunjie,Wang Zhende,Zhang Shengkui,Zhu Ying,Yuan Juxiang

Funder

North China University of Science and Technology

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference45 articles.

1. Pertussis: Current perspectives on epidemiology and prevention;G Gabutti;Hum Vaccin Immunother,2016

2. Burden and Outcomes of Severe Pertussis Infection in Critically Ill Infants;L Straney;Pediatr Crit Care Med,2016

3. The pertussis epidemic: informing strategies for prevention of severe disease;MF Clarke;Epidemiol Infect,2013

4. World Health Organization. Available:http://www.who.int/immunization/monitoring_surveillance/burden/vpd/surveillance_type/passive/pertussis/en/. Accessed 2018 September 12.

5. Time series analysis of temporal trends in the pertussis incidence in Mainland China from 2005 to 2016;Q Zeng;Sci Rep,2016

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