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Highlights The prevalence of anxiety and depression symptoms was 3.4% and 22.8% among workers during the COVID-19 epidemic in China. Epidemic-related factors especially having confirmed cases in the community and having confirmed friends were associated with the higher risk of anxiety and depression symptoms. Major traditional risk factors, such as general or poor health status and always drinking alcohol, were found still to be the dominant factors associating with the increased risk of anxiety and depression symptoms. Approximately 67.3% and 26.8% of workers reported demand for psychological education and interventions, respectively.

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<abstract> <p>In this paper, we investigate the relationship between the air pollution and tuberculosis cases and its prediction in Jiangsu, China by using the time-series analysis method, and find that the seasonal ARIMA(1, 1, 0)×(0, 1, 1)₁₂ model is the preferred model for predicting the TB cases in Jiangsu, China. Furthermore, we evaluate the relationship between AQI, PM2.5, PM10 and the number of TB cases, and find that the prediction accuracy of the ARIMA model is improved by adding monthly PM2.5 with 0-month lag as an external variable, i.e., ARIMA(1, 1, 0)×(0, 1, 1)₁₂+PM2.5. The results show that ARIMAX model can be a useful tool for predicting TB cases in Jiangsu, China, and it can provide a scientific basis for the prevention and treatment of TB.</p> </abstract>

Balancing energy load is a key problem in wireless sensor network (WSN) research. For balancing node energy consumption and prolong the network lifetime, this paper proposes an improved routing algorithm EBRA (Energy Balancing Routing Algorithm) based on energy heterogeneous WSN. To maximize the energy efficiency of network nodes, the EBRA weights the probability of cluster head election. According to the estimate value of the network average remaining energy and the residual energy of network nodes, we can calculate the new cluster head election threshold. The simulation results show that the utilization of energy balance of EBRA algorithm is improved 74%, 30% and 23%, compare with LEACH, SEP and DCHS, respectively.

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