基于文本挖掘和生物医学数据库的新型冠状病毒肺炎药物发现

目的 基于文本挖掘技术和生物医学数据库对新型冠状病毒肺炎（COVID-19）相关文献进行数据挖掘分析，探究COVID-19及其主要症状发热、咳嗽、呼吸障碍相关基因靶点，筛选潜在有效的化学药和中药。方法 使用GenCLiP 3网站获取COVID-19和其主要症状咳嗽、发热、呼吸障碍共4个关键词的共有靶点，在METASCAPE数据库中对其进行基因本体（GO）和通路富集分析，再利用String数据库和Cytoscape软件构建共有靶点的蛋白质相互作用网络，筛选获得核心基因，运用DGIdb数据库、SymMap数据库针对核心基因进行中西医治疗药物预测。结果 获得COVID-19及其主要症状共有基因靶点28个，其中有IL2、IL1B、CCL2等核心基因16个，使用DGIdb数据库筛选获得与16个关键靶点相互作用的化学药包括沙利度胺、来氟米特、环孢素等28种，中药包括虎杖、黄芪、芦荟等70味。结论 COVID-19及其主要症状的病理机制可能和CD4、KNG1、VEGFA等28个共有基因相关，可能通过介导TNF、IL-17等信号通路参与COVID-19病理过程。潜在有效药物可能通过作用相关靶点通路起到治疗COVID-19的作用。     

黄热病的再流行与世界卫生组织的消除黄热病流行战略

近年来,蚊虫传播的黄热病在非洲和南美洲地区大面积“再流行”,仅南美洲的巴西在一年时间就发现数千例黄热病确诊病例,黄热病已经在非洲和南美洲地区造成巨大的公共卫生负担。此外,在黄热病非流行国家和地区发现大量输入性病例,使得黄热病有可能在非洲和南美洲以外的地区成为“新发传染病”而在世界更大范围流行。为此,世界卫生组织制定了“消除黄热病流行（EYE）”战略,预计利用10年时间在黄热病流行地区接种13.8亿剂量黄热疫苗,以降低黄热病对国际公共卫生健康的危害。     

Correlates of Mental Illness and Health Categories among Older Adults in China: An Empirical Study Based on the Two Continua Model

Objective: Keyes’ two continua model is a useful concept in which mental health and mental illness exist on two separate axes. Based on this model, this study examined the prevalence and correlates of three mental health categories among older adults in China.

Methods: Cross-sectional data were derived from Wave 1 of the Study on Global AGEing and Adult Health. Participants were categorized into complete mental health (CMH), complete mental illness (CMI), and moderate mental health (MMH) groups. Multinomial logistic regressions were used.

Results: The prevalence of CMH, CMI, and MMH in China was 18%, 16%, and 66%, respectively. Being female, unmarried, younger, and feeling unhealthy were more likely to result in placement in the CMI category. Employment, education, and cognitive function were identified as important protective factors of CMH. Age, income, urban or rural residence, and physical function difficulty were associated with all three categories.

Discussion: We demonstrated the utility of the two continua model in identifying mental health needs in Chinese contexts. The findings suggest that future policy reforms and clinical interventions should establish a more comprehensive mental health category as a screening tool nationwide. The promotion of social engagement could play an important role in treating mental illness and improving positive mental health.     

南宁市江南区2019年登革热流行病学特征和疫情应急处置分析

目的 分析总结南宁市江南区2019年登革热流行病学特征和疫情应急处置的工作情况,为今后有效地防制登革热提供对策、参考和技术支持。方法 收集南宁市江南区2019年登革热疫情相关数据,评价本次应急处置的工作成效。结果 2019年南宁市江南区登革热疫情严峻,共报告登革热病例370例,其中输入病例4例,本地病例366例;感染人数以家务待业和离退休者居多;男女性别比为1∶1.12;发病年龄最小1岁,最大92岁;发病的空间分布呈现高度聚集,福建园街道占本城区本地病例的87.70%。早期伊蚊应急监测布雷图指数和账诱指数合格率偏低,分别为72.17%和62.61%。针对本次疫情特性,制定有针对性的防控策略,做好精准疫情应急处置,有效压低峰值,迅速控制了疫情的扩散和蔓延。结论 本次疫情是由输入性病例导致本地病例社区水平暴发,疫情呈现多点暴发及扩散蔓延态势。需做好疫情研判、预警预测,准确分析流行病学特征,尽早实施登革热应急处置,精准防控、孳生地处理、健康宣教和病例管理是应急处置的关键措施。