Forecasting the future number of pertussis cases using data from Google Trends-Reference-Cited by-同舟云学术

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

Published:2021-11 Issue:11 Volume:7 Page:e08386
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Nann Dominik^ORCID,Walker Mark^ORCID,Frauenfeld Leonie,Ferenci Tamás^ORCID,Sulyok Mihály

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference49 articles.

1. Bordetella pertussis and Bordetella parapertussis: two immunologically distinct species;Khelef;Infect. Immun.,1993

2. Characteristics of severe Bordetella pertussis infection among infants <=90 Days of age admitted to pediatric intensive care units - southern California, september 2009-june 2011;Murray;J. Pediatr. Infect. Dis. Soc.,2013

3. Bordetella pertussis;Nieves,2016

4. Reduced risk of pertussis among persons ever vaccinated with whole cell pertussis vaccine compared to recipients of acellular pertussis vaccines in a large US cohort;Witt;Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am.,2013

5. Changing pertussis epidemiology: everything old is new again;Clark;J. Infect. Dis.,2014

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1. The ARIMA model approach for the biofilm-forming capacity prediction of Listeria monocytogenes recovered from carcasses;BMC Veterinary Research;2024-03-27

2. Using weather factors and google data to predict COVID-19 transmission in Melbourne, Australia: A time-series predictive model;Heliyon;2023-03

3. Modeling COVID-19 incidence with Google Trends;Frontiers in Research Metrics and Analytics;2022-09-15

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