Literature DB >> 26621328

Eight-Year Review of Bordetella pertussis Testing Reveals Seasonal Pattern in the United States.

Micah M Bhatti1, Stefanea L Rucinski1, Jeramy J Schwab1, Nicolynn C Cole1, Senait A Gebrehiwot1, Robin Patel1,2.   

Abstract

Review of Bordetella pertussis polymerase chain reaction testing from 2007 through 2014 revealed a yearly spike in positivity rates during the summer throughout the United States. Paradoxically, the highest test volumes occurred outside of this time frame, which provides an opportunity for improved test utilization.
© The Author 2015. Published by Oxford University Press on behalf of the Pediatric Infectious Diseases Society. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Keywords:  Bordetella pertussis; polymerase chain reaction; seasonal variation; whooping cough

Mesh：

Year:  2017        PMID： 26621328     DOI： 10.1093/jpids/piv079

Source DB:  PubMed          Journal:  J Pediatric Infect Dis Soc        ISSN： 2048-7193            Impact factor:   3.164


  9 in total

1.  Alarm Thresholds for Pertussis Outbreaks in Iran: National Data Analysis.

Authors:  Yousef Alimohamadi; Seyed Mohsen Zahraei; Manoochehr Karami; Mehdi Yaseri; Mojtaba Lotfizad; Kourosh Holakouie-Naieni
Journal:  Osong Public Health Res Perspect       Date:  2020-10

2.  Seasonal Bordetella pertussis pattern in the period from 2008 to 2018 in Germany.

Authors:  Daniel Allermann Hitz; Friedemann Tewald; Maren Eggers
Journal:  BMC Infect Dis       Date:  2020-07-03       Impact factor: 3.090

3.  Estimating seasonal variation in Australian pertussis notifications from 1991 to 2016: evidence of spring to summer peaks.

Authors:  R N F Leong; J G Wood; R M Turner; A T Newall
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

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

Authors:  Yongbin Wang; Chunjie Xu; Zhende Wang; Shengkui Zhang; Ying Zhu; Juxiang Yuan
Journal:  PLoS One       Date:  2018-12-26       Impact factor: 3.240

5.  Forecasting the future number of pertussis cases using data from Google Trends.

Authors:  Dominik Nann; Mark Walker; Leonie Frauenfeld; Tamás Ferenci; Mihály Sulyok
Journal:  Heliyon       Date:  2021-11-12

6.  Pertussis surveillance results from a French general practitioner network, France, 2017 to 2020.

Authors:  Marion Debin; Titouan Launay; Louise Rossignol; Fatima Ait El Belghiti; Sylvain Brisse; Sophie Guillot; Nicole Guiso; Daniel Levy-Bruhl; Lore Merdrignac; Julie Toubiana; Thierry Blanchon; Thomas Hanslik
Journal:  Euro Surveill       Date:  2022-04

7.  Laboratory and epidemiology data of pertussis cases and close contacts: A 5-year case-based surveillance of pertussis in Indonesia, 2016-2020.

Authors:  Sunarno Sunarno; Sundari Nur Sofiah; Novi Amalia; Yudi Hartoyo; Aulia Rizki; Nelly Puspandari; Ratih Dian Saraswati; Dwi Febriyana; Tati Febrianti; Ida Susanti; Khariri Khariri; Kambang Sariadji; Fauzul Muna; Yuni Rukminiati; Novi Sulistyaningrum; Dyah Armi Riana; Masri Sembiring Maha; Fitriana Fitriana; Vivi Voronika; Muamar Muslih; Mushtofa Kamal; Vivi Setiawaty
Journal:  PLoS One       Date:  2022-04-20       Impact factor: 3.752

8.  ARIMA and ARIMA-ERNN models for prediction of pertussis incidence in mainland China from 2004 to 2021.

Authors:  Meng Wang; Jinhua Pan; Xinghui Li; Mengying Li; Zhixi Liu; Qi Zhao; Linyun Luo; Haiping Chen; Sirui Chen; Feng Jiang; Liping Zhang; Weibing Wang; Ying Wang
Journal:  BMC Public Health       Date:  2022-07-29       Impact factor: 4.135

9.  The long-term effects of meteorological parameters on pertussis infections in Chongqing, China, 2004-2018.

Authors:  Yongbin Wang; Chunjie Xu; Jingchao Ren; Yingzheng Zhao; Yuchun Li; Lei Wang; Sanqiao Yao
Journal:  Sci Rep       Date:  2020-10-14       Impact factor: 4.379
  9 in total

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