OBJECTIVETo study the factors in relation to severe acute respiratory syndromes (SARS) among health care workers and to develop related protective measures.

METHODSCase-control study was applied. A standardized questionnaire was used to collect SARS related information for health care workers who had contacted or treated SARS patients. Univariate analysis was conducted using SPSS 10.0 software package and multivariate logistic regression analysis was conducted using SAS 6.12.

RESULTSTwenty-seven of the 49 factors under study were significantly associated with SARS infection, in which 22 factors were protective, and the other 5 were risk factors. 27 factors were included for multivariate logistic regression analysis. Results showed that six factors as wearing eye glasses, wearing protection gowns, exposure to secrets/mode of contact with SARS patients, types of mask and the working years atc, remained significant association with hospital infection of SARS.

CONCLUSIONSARS infection in heath care workers was related to many factors during the process of diagnoses and/or treatment. It is recommended that adequate masks, eye-protection and protective gowns should be adopted for heath care workers during the process of clinical diagnoses and treatment of SARS patients.

Case-Control Studies ; China ; epidemiology ; Cross Infection ; prevention & control ; Female ; Health Personnel ; Humans ; Infectious Disease Transmission, Patient-to-Professional ; prevention & control ; Logistic Models ; Male ; Risk Factors ; Severe Acute Respiratory Syndrome ; epidemiology ; transmission ; Surveys and Questionnaires

ObjectiveTo explore the guidance value of “treatment of disease in accordance with three conditions” theory in the prevention and treatment of corona virus disease 2019（COVID-19） based on the differences of syndromes and traditional Chinese medicine（TCM） treatments in COVID-19 patients from Xingtai Hospital of Chinese Medicine of Hebei province and Ruili Hospital of Chinese Medicine and Dai Medicine of Yunnan province and discuss its significance in the prevention and treatment of the unexpected acute infectious diseases. MethodDemographics data and clinical characteristics of COVID-19 patients from the two hospitals were collected retrospectively and analyzed by SPSS 18.0. The information on formulas was obtained from the hospital information system （HIS） of the two hospitals and analyzed by the big data intelligent processing and knowledge service system of Guangdong Hospital of Chinese Medicine for frequency statistics and association rules analysis. Heat map-hierarchical clustering analysis was used to explore the correlation between clinical characteristics and formulas. ResultA total of 175 patients with COVID-19 were included in this study. The 70 patients in Xingtai，dominated by young and middle-aged males，had clinical symptoms of fever， abnormal sweating，and fatigue. The main pathogenesis is stagnant cold-dampness in the exterior and impaired yin by depressed heat， with manifest cold， dampness， and deficiency syndromes. The therapeutic methods highlight relieving exterior syndrome and resolving dampness， accompanied by draining depressed heat. The core Chinese medicines used are Poria，Armeniacae Semen Amarum，Gypsum Fibrosum，Citri Reticulatae Pericarpium，and Pogostemonis Herba. By contrast，the 105 patients in Ruili， dominated by young females， had atypical clinical symptoms， and most of them were asymptomatic patients or mild cases. The main pathogenesis is dampness obstructing the lung and the stomach， with obvious dampness and heat syndromes. The therapeutic methods are mainly invigorating the spleen， resolving dampness， and dispersing Qi with light drugs. The core Chinese medicines used are Poria，Atractylodis Macrocephalae Rhizoma，Glycyrrhizae Radix et Rhizoma，Coicis Semen，Platycodonis Radix，Lonicerae Japonicae Flos， and Pogostemonis Herba. ConclusionThe differences in clinical characteristics， TCM syndromes， and medication of COVID-19 patients from the two places may result from different regions，population characteristics， and the time point of the COVID-19 outbreak. The “treatment of disease in accordance with three conditions” theory can help to understand the internal correlation and guide the treatments.