ABSTRACT
Background: At present new epidemic has entered a stage of normalized management, but there is still sporadic distribution, public already had certain protective knowledge of coronavirus disease 2019 (COVID-19). G County of Liangshan Yi Autonomous Prefecture is located in the mountainous area of southwest Sichuan Province, which also is ethnic minorities and as national-level poverty-stricken areas, residents in the region to the migrant workers as the main economic source of personnel with high mobility. In order to ensure the resumption of work and production, the effective implementation of epidemic prevention measures has certain guiding significance for epidemic prevention and control and economic recovery. This study investigated and analyzed the status quo of villagers' attitudes and behaviors toward COVID-19 prevention and control in Liangshan Yi Autonomous Prefecture, providing evidence for COVID-19 prevention and control measures in the resumption of rural work and agricultural production. Methods: Snowball sampling was used to survey 117 villagers from an impoverished village in Liangshan Yi Autonomous Prefecture on February 10-19, 2020. A total of 120 questionnaires were collected, the recovery rate is 97.5%. Based on literature review, a self-designed questionnaire on attitudes and behaviors related to COVID-19 prevention and control was designed, the expert validity score was 0.912, and Cronbach α coefficient was 0.903. Results: The overall score for respondents' attitude toward COVID-19 prevention and control was 29.65±3.23, which was considered a good level. The total score for prevention and control behavior was 114.74±17.09, which was medium level. A statistically significant difference was found for the attitudes and behaviors of different ethnic groups toward epidemic prevention and control. Conclusions: The people in this village had a positive attitude toward epidemic prevention and control, but there was still room for improvement in prevention and control behavior. Training on hand hygiene and wearing masks outside should be strengthened, and relevant training for ethnic minorities should be further strengthened.
ABSTRACT
With the rapid development of the digital economy, the level of Internet development has become increasingly important to the national economy. The development and application of the Internet have brought new impetus to economic development. At present, China’s economic growth is slowing down. Finding new support points to maintain high-quality economic growth has become the focus of current research. Therefore, at the moment of Internet economic development, it is of great significance to study whether the Internet development level can promote economic development, how to promote economic development and the size of its influence on economic development. Based on this, this paper constructs an indicator system for evaluating the Internet development level from four dimensions: Internet popularization level, information infrastructure development level, scientific and cultural development level, and industrial development and application level. With the Internet development level as the core explanatory variable, this paper establishes a fixed effect model based on the Hausman test by analyzing China’s provincial panel data from 2010 to 2019. The research results show that the Internet development level in all regions of China has risen from 2010 to 2019. The Internet development level has a promoting effect on economic growth, and there are regional differences. The promoting effect on the eastern region is higher than that in the central and western regions. The Internet development level has a significantly higher role in promoting the per capital GDP in the eastern region than in the central and western regions. It is expected to provide valuable ideas for the government to fully harness the role of the Internet in promoting economic development.
ABSTRACT
The present study aimed to establish a prognostic nomogram to stratify high-risk patients with Coronavirus Disease 2019 (COVID-19) who progressed from the nonsevere condition on admission to severe during hospitalization. This multicenter retrospective study included patients with nonsevere COVID-19 on admission from Jan 10, 2020 to Feb 7, 2020. In the training cohort, independent risk factors associated with disease progression were identified by univariate and multivariate analyses. The prognostic nomogram was established and then validated externally using C-index. The study included 351 patients (293 and 58 in the training and validation cohorts, respectively), with 27 (9.2%) and 5 (8.6%) patients progressed, respectively. In the training cohort, older age (OR 1.036, 95% CI 1.000-1.073), more lobes involved on chest CT (OR 1.841, 95% CI 1.117-3.035), comorbidity present (OR 2.478, 95% CI 1.020-6.018), and lower lymphocyte count (OR 0.081, 95% CI 0.019-0.349) were identified as independent risk factors. The prognostic nomogram was established in the training cohort with satisfied external prognostic performance (C-index 0.906, 95% CI 0.806-1.000). In conclusion, older age, comorbidity present, more lobes involved on chest CT, and lower lymphocyte count are independent risk factors associated with disease progression during hospitalization for patients with nonsevere COVID-19.