Internet search data was a useful tool in the pre-warning of COVID-19. However, the lead time and indicators may change over time and space with the new variants appear and massive nucleic acid testing. Since Omicron appeared in late 2021, we collected the daily number of cases and Baidu Search Index (BSI) of seven search terms from 1 January to 30 April, 2022 in 12 provinces/prefectures to explore the variation in China. Two search peaks of “COVID-19 epidemic”, “Novel Coronavirus” and “COVID-19” can be observed. One in January, which showed 3 days lead time in Henan and Tianjin. Another on early March, which occurred 0–28 days ahead of the local epidemic but the lead time had spatial variation. It was 4 weeks in Shanghai, 2 weeks in Henan and 5–8 days in Jilin Province, Jilin and Changchun Prefecture. But it was only 1–3 days in Tianjin, Quanzhou Prefecture, Fujian Province and 0 day in Shenzhen, Shandong Province, Qingdao and Yanbian Prefecture. The BSI was high correlated (r s :0.70–0.93) to the number of cases with consistent epidemiological change trend. The lead time of BSI had spatial and temporal variation and was close related to the strength of nucleic acid testing. The case detection ability should be strengthened when perceiving BSI increase.

•“Influenza”, “pneumonia”on December 2019 can be used in the early warning in Wuhan.•“COVID-19”, “SARS”, “pneumonia”et al in Wuhan may implicatedthe further development.•“Pneumonia”, “coronavirus”and “masks”implicated the potential epidemic in China.

目的 了解广西新型冠状病毒肺炎(简称:新冠肺炎)早期时空分布特征,并探索其与百度资讯指数的相关性,为疫情研判和防控指导提供科学数据.方法 研究时间段为2019-12-17/2020-03-09(国家派出专家组前往武汉调查不明原因肺炎事件前14d至广西连续14d无病例报告),通过广西及各市卫生健康委员会网站收集每日报告病例资料,以"肺炎"、"流感"等7个与新冠肺炎相关的关键词收集百度资讯指数,进行时间序列分析和相关性分析.结果 广西新冠肺炎流行第一阶段以输入性病例及有省外旅居史的病例为主,分别占72.07％和15.32％,主要分布在北海市、桂林市、南宁市、柳州市;第二阶段本土病例占51.77％,主要分布在南宁市、北海市、河池市和柳州市.空间自相关分析结果显示病例无空间聚集性.报告病例数与各关键词的百度资讯指数均呈中度或高度相关(rs在0.50～0.80之间).结论 广西新冠肺炎由早期输入性为主逐步转向本地感染,但得到及时有效控制;需重点关注主要旅游城市(桂林市、北海市)和交通枢纽(南宁市、柳州市)疫情,"肺炎"、"冠状病毒"和"口罩"的百度资讯指数可应用于疫情流行趋势的研判,但在实际应用中应根据情况动态调整研判指标.

The highest prevalence of hyperuricemia was found in Zhuang minority adults in two national surveys in China, with only 1% Zhuang study subjects. However, the prevalence of hyperuricemia and the associated factors in Zhuang adults have not been well-addressed. A cross-sectional study was conducted to explore the prevalence of hyperuricemia and the common comorbidities, and the associated factors in Zhuang adults based on the Guangxi Ethnic Minority Population Cohort. Among 11,175 Zhuang adults aged 35–74 years, the age- and sex-standardized prevalence rate was 18.1% for hyperuricemia and 1.1% for gout. The standardized prevalence rate and awareness rate were 31.6% and 32.3%, respectively, for hypertension, and were 5.1% and 48.2%, respectively, for diabetes. High education level, history of coronary heart disease (CHD), hypertension, being a current drinker, high body mass index (BMI), central obesity, hyper-triglyceride (hyper-TG), hyper-total cholesterol (hyper-TC), hypo-high density lipoprotein cholesterol (hypo-HDL-C), and abnormal aspartate aminotransferase (AST) were risk factors, while smoking and diabetes were protective factors of hyperuricemia in males. Older age, being single/divorced, having a high education level, hypertension, drinking tea, high BMI, central obesity, hyper-TG, hyper-TC, hypo-HDL-C, and abnormal alanine aminotransferase (ALT) were risk factors in females. The high prevalence of hyperuricemia but low prevalence of gout and common comorbidities in Zhuang adults may be due to a lag effect of lifestyle changes. Health education and health management should be strengthened to prevent the progression of comorbidities, considering the lag effect and low awareness rate.

目的:了解广西35～74岁壮族居民高尿酸血症(HUA)患病情况及影响因素,分析相关指标与HUA的剂量-反应关系,为制定有针对性的防治措施和病人管理提供科学依据.方法:基于广西少数民族自然人群慢性病前瞻性队列研究,对纳入对象开展问卷调查、体格检查并采集血液、尿液标本进行常规和生化检测,采用Logistic回归分析HUA的影响因素,并用限制性立方样条图分析相关指标与HUA的剂量-反应关系.结果:广西35～74岁壮族居民HUA的粗患病率和标化患病率分别为24.5％和29.6％;多因素分析显示,男性(OR=1.48,95％CI:1.31～1.68)、55～64岁(OR=1.20,95％CI:1.03～1.39)、65～74岁(OR=1.62,95％CI:1.38～1.90)、初中(OR=1.12,95％CI:1.00～1.26)、高中(OR=1.36,95％CI:1.16～1.58)、大专及以上(OR=1.73,95％CI:1.33～2.24)、长期用药史(OR=1.20,95％CI:1.06～1.36)、饮酒(OR=1.81,95％CI:1.57～2.09)、饮茶(OR=1.18,95％CI:1.04～1.35)、高血压(OR=1.18,95％CI:1.07～1.31)、超重(OR=1.85,95％CI:1.67～2.05)、肥胖(OR=2.85,95％CI:2.45～3.31)、高甘油三酯(TG)血症(OR=1.73,95％CI:1.52～1.96)、高总胆固醇(TC)血症(OR=1.42,95％CI:1.24～1.62)、低密度脂蛋白胆固醇(LDL-C)血症(OR=1.60,95％CI:1.39～1.83)是HUA发生的独立危险因素;限制性立方样条图显示,体重指数(Ibm)、收缩压(SBP)、舒张压(DBP)、TG、TC、高密度脂蛋白胆固醇(HDL-C)与HUA的发生均存在剂量-反应关系.结论:广西35～74岁壮族居民HUA患病率较高,多种与不良生活方式密切相关的指标与HUA患病风险呈剂量-反应关系,今后健康干预应针对这些指标制定具体的控制目标,减少HUA的患病风险.