Primary healthcare workers' COVID-19 infection status following implementation of adjusted epidemic prevention and control strategies : a cross-sectional study in Jiangsu, China
Copyright © 2023 Lu, Ma, Xu, Zhang, Guo, Chen, Miao, Qian, Xu, Shen and Chen..
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.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:11 |
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Enthalten in: |
Frontiers in public health - 11(2023) vom: 22., Seite 1297770 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Lu, Beier [VerfasserIn] |
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Links: |
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Themen: |
COVID-19 |
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Anmerkungen: |
Date Completed 09.01.2024 Date Revised 02.05.2024 published: Electronic-eCollection Citation Status MEDLINE |
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doi: |
10.3389/fpubh.2023.1297770 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM366773194 |
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500 | |a Citation Status MEDLINE | ||
520 | |a Copyright © 2023 Lu, Ma, Xu, Zhang, Guo, Chen, Miao, Qian, Xu, Shen and Chen. | ||
520 | |a 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 | ||
520 | |a 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 | ||
520 | |a 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 | ||
520 | |a 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 | ||
650 | 4 | |a Journal Article | |
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650 | 4 | |a COVID-19 | |
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650 | 4 | |a infection | |
650 | 4 | |a influencing factors | |
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700 | 1 | |a Ma, Rongji |e verfasserin |4 aut | |
700 | 1 | |a Xu, Jinshui |e verfasserin |4 aut | |
700 | 1 | |a Zhang, Yongjie |e verfasserin |4 aut | |
700 | 1 | |a Guo, Haijian |e verfasserin |4 aut | |
700 | 1 | |a Chen, Hualing |e verfasserin |4 aut | |
700 | 1 | |a Miao, Pengcheng |e verfasserin |4 aut | |
700 | 1 | |a Qian, Yongkang |e verfasserin |4 aut | |
700 | 1 | |a Xu, Biyun |e verfasserin |4 aut | |
700 | 1 | |a Shen, Ya |e verfasserin |4 aut | |
700 | 1 | |a Chen, Bingwei |e verfasserin |4 aut | |
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