Objective:To understand the spatiotemporal distribution of pulmonary tuberculosis (TB) and influencing factors in Beijing from 2008 to 2018.Methods:The incidence data of pulmonary TB in Beijing from 2008 to 2018 were from Tuberculosis Information Management System of Chinese Disease Prevention and Control Information System. Software ArcGIS 10.2 was used to visualize the spatiotemporal distribution of pulmonary TB incidence. Getis's G i* statistic was applied to analyze the spatial clustering of pulmonary TB incidence at street/township scale. Bayesian spatiotemporal model was applied to analyze factors affecting its spatiotemporal distribution, including urbanization rate, GDP per capita, number of hospital beds per thousand population, permanent migrant population and population density. Results:The reported pulmonary TB incidence showed a downward trend in the past 11 years in Beijing, from 58.64/100 000 to 30.43/100 000. The incidences were higher in Tongzhou, Changping and other newly developed urban districts, with the hot spots concentrated in local areas of these districts. The incidences of pulmonary TB were lower in Dongcheng, Xicheng and other old urban districts-with the cold spots also concentrated in these area. The risk for the incidence of pulmonary TB was associated with the urbanization rate and the permanent migrant population. For every 1% increase in the urbanization rate, the relative risk of pulmonary TB would increase by 1%. For every 10 000 person increase of permanent migrant population, the relative risk of pulmonary TB would increase by 0.6%.Conclusions:In Beijing, the current pulmonary TB prevention and control needs to be focused on the newly developed urban areas. Due to the accelerated process of urbanization, it is necessary to strengthen TB prevention and control in permanent migrant population to reduce the incidence of TB in Beijing.

Objective:To investigate the status of Corona Virus Disease 2019 (COVID-19) health literacy and associated factors in Inner Mongolia Autonomous Region.Methods:Based on the multi-stage stratified sampling method, the questionnaire survey of health literacy of COVID-19 were carried out in 55 599 local residents from12 prefecture-level cities of Inner Mongolia Autonomous Region between March 10 and 15, 2020. The questionnaire in details included not only knowledge, attitude and behavior, but also mental health, their scores were calculated using Decimal method. A ≥80% of the correct answer rate of the survey content was regarded as qualified for health literacy. There were 51 722 (93.0%) valid questionnaires, according to the ratio of medical staff to non-medical staff, 32 529 questionnaires were selected for analysis. The health literacy level was defined according to the proportion of qualified people.The credibility and availability of the questionnaires were evaluated by Cronbach′s α coefficient and KMO test. The associated factors were analyzed by Pearson χ 2 test and logistic regression. Results:In Inner Mongolia Autonomous Region, the whole level of health literacy of COVID-19 was 85.7%, and their scores were (26.30±2.48). Knowledge, attitude, and behavioral literacy levels were 61.6%, 95.6%, and 96.8%, respectively. Compared with the population of 15-25 years old, the health literacy level of 46-65 years old was the highest ( OR=2.00, 95% CI: 1.78-2.24). The health literacy level of medical staff group ( OR=2.54, 95% CI: 1.30-4.95) was far higher than the non-medical staff group; the population with college or above education level ( OR=10.22, 95% CI: 9.19-11.36) was significantly higher than the population with education level below college. The degree of anxiety was negatively correlated with education level. Conclusions:The health literacy level of COVID-19 in residents in Inner Mongolia Autonomous Region is relatively high, but the level of knowledge literacy needs to be improved. The main factors affecting the health literacy of COVID-19 among Inner Mongolia residents are age, occupation and education level.