Objective: To determine whether ambient air pollutants and meteorological variables are associated with daily COVID-19 incidence.Design: A retrospective cohort from January 25 to February 29, 2020.Setting: Cities of Wuhan, Xiaogan, and Huanggang, China.Patients: The COVID-19 cases detected each day.Methods: We collected daily data of COVID-19 incidence, 8 ambient air pollutants (particulate matter of ≤2.5 µm [PM_2.5], particulate matter ≤10 µm [PM₁₀], sulfur dioxide [SO₂], carbon monoxide [CO], nitrogen dioxide [NO₂], and maximum 8-h moving average concentrations for ozone [O₃-8h]) and 3 meteorological variables (temperature, relative humidity, and wind) in China’s 3 worst COVID-19–stricken cities during the study period. The multivariate Poisson regression was performed to understand their correlation.Results: Daily COVID-19 incidence was positively associated with PM_2.5 and humidity in all cities. Specifically, the relative risk (RR) of PM_2.5 for daily COVID-19 incidences were 1.036 (95% confidence interval [CI], 1.032–1.039) in Wuhan, 1.059 (95% CI, 1.046–1.072) in Xiaogan, and 1.144 (95% CI, 1.12–1.169) in Huanggang. The RR of humidity for daily COVID-19 incidence was consistently lower than that of PM_2.5, and this difference ranged from 0.027 to 0.111. Moreover, PM₁₀ and temperature also exhibited a notable correlation with daily COVID-19 incidence, but in a negative pattern The RR of PM₁₀ for daily COVID-19 incidence ranged from 0.915 (95% CI, 0.896–0.934) to 0.961 (95% CI, 0.95–0.972, while that of temperature ranged from 0.738 (95% CI, 0.717–0.759) to 0.969 (95% CI, 0.966–0.973).Conclusions: Our data show that PM_2.5 and humidity are substantially associated with an increased risk of COVID-19 and that PM₁₀ and temperature are substantially associated with a decreased risk of COVID-19.

It has been widely understood that well-trained doctors are crucial for a high-quality public health system and safe patient care. Thus, in 2011, China initiated its first national residency training program, called the China Standardized Training for Resident Doctor (C-STRD), for medical graduates to prepare qualified doctors for the medical care system with increasing demands. So far, no studies have specifically address the prevalence of stress and its determinants among residents enrolled in the C-STRD. The research is performed in two stages. In stage I, the authors conducted a pilot study and met 112 C-STRD residents in person. Based on the preliminary data, a revised questionnaire was adopted in stage II, during which the authors conducted a multi-institutional, cross-sectional survey of 340 participants from 11 hospitals in Shanghai in a self-administered manner. The results showed that C-STRD residents were overall under severe stress as their mean PSS score was 27.5 ± 4.9, which was higher than the threshold of high stress (PSS = 20). Specifically, the PSS score for the residents with Bachelor (MB), Master (MM) and Doctoral of Medicine (MD) educational degree were 26.6 ± 4.1, 27.8 ± 3.5 and 27.1 ± 5.2, respectively (P>0.05). Their stress was mainly associated with their financial income status and workload, as these two factors caused more severe burden than other listed stressors (P<0.05). Specially, the residents indicated that their montly payroll amout were as low as $590.2 ± 127 while no benefit package and allowance were given. Surprisingly, wage arrears up to 5.3 month were reported by 36 (10%) participants. Workload survey showed the residents has high work intensity and inadequate rest. Since no stress management program was provided, the majority of residents tended to cope their stress with unhealthy strategies, such as mesmerizing in TV/computer (88.2%) and overeating (59.7%). The C-STRD residents are at high risk of perceived stress. Although there was a difference in perception of stress for workload and career future among different educational degree owners, low financial income is the major stressor among all C-STRD residents. Unhealthy stress management strategies were adopted by all residents due to lack of appropriate stress-relieving intervention.

Background: Rapid and accurate detection of SARS-CoV-2 infection is the cornerstone of prompt patient care. However, the reliability of the antigen rapid diagnostic test (Ag-RDT) in the diagnosis of SARS-CoV-2 infection remains inconclusive. Methods: We conducted a field evaluation of Ag-RDT performance during the Shanghai Coronavirus disease 2019 (COVID-19) quarantine and screened 7225 individuals visiting our Emergency Department. 83 asymptomatic SARS-CoV-2 (+) individuals were enrolled in the current study. Simultaneously, Ag-RDT was performed to evaluate its testing performance. Results: For the Ag-RDT(−) cases, the average cycle threshold (Ct) values of the N gene were 27.26 ± 4.59, which were significantly higher than the Ct value (21.9 ± 4.73) of the Ag-RDT(+) individuals (p < 0.0001). The overall sensitivity of Ag-RDT versus that of RT-PCR was 43.37%. The Ag-RDT(+) individuals regarding the N gene’s Ct value were 16 cases in the < 20 range, 12 in 20–25, 5 in 25–30, and 3 in 30–35. The corresponding sensitivity was 84.21%, 52.17%, 21.74% and 16.67%, respectively. Meanwhile, sampling had a straight specificity of 100% regardless of the Ct value. Conclusions: The Ag-RDT were extremely sensitive in asymptomatic COVID-19 individuals with a Ct value < 20.