Can naive Bayes classifier predict infection in a close contact of COVID-19? A comparative test for predictability of the predictive model and healthcare workers in Japan-Reference-Cited by-同舟云学术

Can naive Bayes classifier predict infection in a close contact of COVID-19? A comparative test for predictability of the predictive model and healthcare workers in Japan

Published:2022-06 Issue:6 Volume:28 Page:774-779
ISSN:1341-321X
Container-title:Journal of Infection and Chemotherapy
language:en
Short-container-title:Journal of Infection and Chemotherapy

Author:

Yoshikawa Hideo^ORCID

Publisher

Elsevier BV

Subject

Infectious Diseases,Pharmacology (medical),Microbiology (medical)

Reference9 articles.

1. Vaccination and non-pharmaceutical interventions for COVID-19: a mathematical modelling study;Moore;Lancet Infect Dis,2021

2. COVID-19 non-pharmaceutical intervention portfolio effectiveness and risk communication predominance;Chan;Sci Rep,2021

3. Why many countries failed at COVID contact-tracing ― but some got it right;Lewis;Nature,2020

4. Adherence to the test, trace, and isolate system in the UK: results from 37 nationally representative surveys;Smith;BMJ,2021

5. Enzyme-linked immunospot and tuberculin skin testing to detect latent tuberculosis infection;Shams;Am J Respir Crit Care Med,2005

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