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Primary healthcare workers' COVID-19 infection status following implementation of adjusted epidemic prevention and control strategies: a cross-sectional study in Jiangsu, China.
Lu, Beier; Ma, Rongji; Xu, Jinshui; Zhang, Yongjie; Guo, Haijian; Chen, Hualing; Miao, Pengcheng; Qian, Yongkang; Xu, Biyun; Shen, Ya; Chen, Bingwei.
Afiliación
  • Lu B; Department of Biostatistics, School of Public Health, Southeast University, Nanjing, China.
  • Ma R; Department of Biostatistics, School of Public Health, Southeast University, Nanjing, China.
  • Xu J; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Zhang Y; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Guo H; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Chen H; Department of Biostatistics, School of Public Health, Southeast University, Nanjing, China.
  • Miao P; Department of Biostatistics, School of Public Health, Southeast University, Nanjing, China.
  • Qian Y; Department of Biostatistics, School of Public Health, Southeast University, Nanjing, China.
  • Xu B; Medical Statistics and Analysis Center, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.
  • Shen Y; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Chen B; Department of Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Front Public Health ; 11: 1297770, 2023.
Article en En | MEDLINE | ID: mdl-38186700
ABSTRACT

Introduction:

In times of epidemic outbreaks, healthcare workers (HCWs) emerge as a particularly vulnerable group. This cross-sectional study endeavors to assess the COVID-19 infection rate among the primary HCWs in Jiangsu Province subsequent to the implementation of adjusted epidemic prevention and control strategies.

Methods:

From January 17 to February 2, 2023, an extensive survey was conducted among primary HCWs in Jiangsu Province, employing a self-designed questionnaire. Logistic regression analysis was utilized to identify the factors associated with COVID-19 infection.

Results:

The overall infection rate among primary HCWs stood at 81.05%, with a 95% confidence interval (CI) of 80.61-81.48%. Among those afflicted, cough, fatigue, and fever emerged as the three most prevalent symptoms, each with an incidence rate exceeding 80%. In the context of multivariate logistic regression, an elevated risk of COVID-19 infection was observed in correlation with female gender (adjusted odds ratio [aOR] = 1.12, 95% CI 1.04-1.21), possessing a bachelor's degree or higher (aOR = 1.32, 95% CI 1.23-1.41), accumulating over 10 years of work experience (aOR = 1.28, 95% CI 1.11-1.47), holding a middle-level cadre position (aOR = 1.22, 95% CI 1.11-1.35), assuming the role of a unit leader (aOR = 1.30, 95% CI 1.11-1.54), and working in a fever clinic for 1 to 10 days per month (aOR = 1.42, 95% CI 1.29-1.57). Conversely, advanced age (aOR = 0.76, 95% CI 0.70-0.82), being underweight (aOR = 0.78, 95% CI 0.69-0.90), current smoking (aOR = 0.64, 95% CI 0.57-0.71), receiving 4 doses of COVID-19 vaccine (aOR = 0.49, 95% CI 0.37-0.66), and pregnancy or perinatal status (aOR = 0.85, 95% CI 0.72-0.99) were associated with a diminished risk of infection.

Conclusion:

Following the implementation of adjusted policies, a substantial proportion of primary HCWs in Jiangsu province contracted COVID-19. Female gender and younger age emerged as risk factors for COVID-19 infection, while no discernible link was established between professions and COVID-19 susceptibility. The receipt of COVID-19 vaccines demonstrated efficacy in curtailing the infection rate, underscoring the significance of bolstering prevention knowledge and heightening self-protective awareness among primary HCWs.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Pregnancy País/Región como asunto: Asia Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Pregnancy País/Región como asunto: Asia Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article País de afiliación: China