Using social media for health education and promotion: a pilot of WeChat-based prize quizzes on China national malaria day.

BACKGROUND: Imported malaria cases remains a key health concern, especially during the COVID-19 pandemic. Providing accurate health information is important to improving people's awareness of malaria. WeChat is an excellent social media tool for health information dissemination, especially during the pandemic. This study explored the effect of malaria knowledge dissemination via a WeChat public account. METHODS: A questionnaire for data collection was constructed using the online survey tool Sojump. Questionnaires were sent to users who followed the Jiangsu institute of Parasitic Disease WeChat public account during the National Malaria Day 2021 period. A small incentive (WeChat Red Packet) was distributed to everyone who answered the questionnaire correctly on time. RESULTS: A total of 13,169 valid questionnaires were collected during the China National Malaria Day period. Questions in which participants focused mainly on information pertaining to themselves, such as infection, symptoms, and epidemic areas, reached highest accuracy (above 90%). Questionnaires were submitted through smartphones and most of them were completed during the period of 4 days from April 23 to April 26, 2021 when a WeChat Red Packet was offered. The accuracy of responses was related to bolded words and location and number of knowledge points that were shown at the beginning of the questionnaire. The number of users of the WeChat public account in question increased from 5961 to 12,339 in just 4 days of the activity. CONCLUSION: A WeChat public account is a convenient and accessible tool for spreading malaria-related health information to the public. Distribution of incentives (Red Packets) can effectively increase public attention to popular science and health information and activities.

Autopsy and statistical evidence of disturbed hemostasis progress in COVID-19: medical records from 407 patients.

BACKGROUND: The progression of coagulation in COVID-19 patients with confirmed discharge status and the combination of autopsy with complete hemostasis parameters have not been well studied. OBJECTIVE: To clarify the thrombotic phenomena and hemostasis state in COVID-19 patients based on epidemiological statistics combining autopsy and statistical analysis. METHODS: Using autopsy results from 9 patients with COVID-19 pneumonia and the medical records of 407 patients, including 39 deceased patients whose discharge status was certain, time-sequential changes in 11 relevant indices within mild, severe and critical infection throughout hospitalization according to the Chinese National Health Commission (NHC) guidelines were evaluated. Statistical tools were applied to calculate the importance of 11 indices and the correlation between those indices and the severity of COVID-19. RESULTS: At the beginning of hospitalization, platelet (PLT) counts were significantly reduced in critically ill patients compared with severely or mildly ill patients. Blood glucose (GLU), prothrombin time (PT), activated partial thromboplastin time (APTT), and D-dimer levels in critical patients were increased compared with mild and severe patients during the entire admission period. The International Society on Thrombosis and Haemostasis (ISTH) disseminated intravascular coagulation (DIC) score was also high in critical patients. In the relatively late stage of nonsurvivors, the temporal changes in PLT count, PT, and D-dimer levels were significantly different from those in survivors. A random forest model indicated that the most important feature was PT followed by D-dimer, indicating their positive associations with disease severity. Autopsy of deceased patients fulfilling diagnostic criteria for DIC revealed microthromboses in multiple organs. CONCLUSIONS: Combining autopsy data, time-sequential changes and statistical methods to explore hemostasis-relevant indices among the different severities of the disease helps guide therapy and detect prognosis in COVID-19 infection.

Development and psychometric assessment of the public health emergency risk perception scale: Under the outbreak of COVID-19.

OBJECTIVE: Correctly understanding and evaluating the level of public risk perception toward public health emergencies not only helps experts and decision-makers understand the public's preventative health behaviors to these emergencies but also enhances their risk information communication with the public. The aim of this study was to develop a risk perception scale for public health emergencies and test its validity and reliability during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: Guided by the theoretical model of risk perception, an initial scale was generated through literature review, group meetings, resident interviews, and expert consultation. A pretest and item screening were then conducted to develop a formal risk perception scale for public health emergencies. Finally, the reliability and validity of the scale were validated through a questionnaire survey of 504 Chinese adults. RESULTS: The final scale had 9 items. The content validity index of the scale was 0.968, and the content validity index of individual items ranged from 0.83 to 1.00. Three common factors, dread risk perception, severe risk perception, and unknown risk perception, were extracted for exploratory factor analysis, and together they explained 66.26% of the variance in the score. Confirmatory factor analysis showed that the model had a satisfactory fit, where χ 2/df = 1.384, the goodness-of-fit index (GFI) = 0.989, root mean square error of approximation (RMSEA) = 0.028, root mean square residual (RMR) = 0.018, comparative fit index (CFI) = 0.995, normed fit index (NFI) = 0.982, and non-normed fit index (NNFI) = 0.990. The correlations between dimensions ranged from 0.306 to 0.483 (P < 0.01). Cronbach's α was 0.793 for the total scale and ranged between 0.687 and 0.801 for the individual dimensions. The split-half coefficient was 0.861 for the total scale and ranged from 0.727 to 0.856 for induvial dimensions. The test-retest coefficient was 0.846 for the total scale and ranged from 0.843 to 0.868 for induvial dimensions. CONCLUSION: The developed scale for the risk perception of public health emergencies showed acceptable levels of reliability and validity, suggesting that it is suitable for evaluating residents' risk perception of public health emergencies.