A cross-sectional survey of epidemiology workforce performance and its influencing factors during the emergency response to the COVID-19 pandemic in Guangdong, China

Author:

Zheng Peng1,Li Cuizhi1,Zhang Yue1,Feng Huiyao1,Huang Bing1,Liu Xiaohan1,Tian Fenglin1,Jiang Diwei1,Ma Wenjun1,Liu Tao1,Liang Xiaofeng1,Chen Xiongfei2,Dong Xiaomei1

Affiliation:

1. Jinan University

2. Guangzhou Center for Disease Control and Prevention

Abstract

Abstract Background The epidemiology workforce contributes a lot to the response to COVID-19(Corona Virus Disease 2019) pandemic. Here this study focuses on the self-evaluation of the epidemiology workforce’s capacity and their impression of the cases they interviewed during the emergency response of the COVID-19 pandemic. Methods This study was a cross-sectional, anonymous survey conducted in Guangzhou, Shenzhen, Foshan, Dongguan and Zhuhai in Guangdong province. Data collection was performed between December 5, 2020 and December 22, 2020 through convenient sampling. A total of 596 epidemiology workforce participated in this study. Results Role in the team, professional title, gender, perceived social support, enough COVID-19 related training as well as experience were significantly associated with personal skills. 72.8% (429/589) and 86.3% (164/190) of participants reported they had interviewed uncooperative Chinese and foreign COVID-19 patients, respectively. Conclusions Epidemiology workforce needs enough training and experience to perform better in the investigation. Uncooperative patients were a big obstruction during the emergency response of the COVID-19 pandemic. Our results suggest Chinese experience and strategies focusing on the improvement of the public health emergency management system, including establishing Joint Prevention and Control Mechanism, enhancing training and the like.

Publisher

Research Square Platform LLC

Reference16 articles.

1. International Mental Health perspectives on the novel coronavirus SARS-CoV-2 pandemic;Ibanez-Vizoso JE;Rev Psiquiatr Salud Ment (Engl Ed),2020

2. Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study;Kucharski AJ;Lancet Infect Dis,2020

3. Towards better contact-tracing in the UK;Cook AR;Lancet Digit Health,2020

4. Enlightenment of "Fight against SARS" to epidemic prevention;Liu S;Jiangsu Health Care,2003

5. Legal Protection for Data in Epidemiological Investigation and Tracking;Yu S;Hebei Law Science,2021

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