现有文献已针对不同类型新型冠状病毒肺炎(COVID-19)病例的流行病学特点进行了分析，但对于武汉地区以外的，尤其是深圳市这种移民城市中该病的流行特点尚缺乏研究，本文拟通过对深圳市确诊的417例COVID-19患者进行分析以研究其流行特点，以期为未来高致病性呼吸道传染病防控提供合理化建议。

通过深圳市卫生健康委员会、深圳政府热线及搜狐网，收集2020年1月1日至2月24日(广东省将重大突发公共卫生事件响应级别降为二级为信息收集终点)深圳市COVID-19确诊患者个案的详细信息及深圳市各区常住人口数、户籍人口数、区域面积、国内生产总值(GDP)等信息。分析所有确诊患者的三间分布、聚集性患者及病死率。再进一步以2020年1月23日广东省启动重大突发公共卫生事件一级响应为时间节点，分析其前后流行病学特征的差异。

在研究时间段内，深圳市共确诊417例COVID-19患者，年龄1～86岁，平均(45.3±17.6)岁。其中，男性197例(47.2%)，年龄在2～86岁之间，平均(46.5±16.9)岁；女性220例(52.8%)，年龄在1～79岁之间，平均(44.3±18.2)岁。空间分布上南山区最多[87例(20.9%)]，大鹏新区最少[2例(0.5%)]。且患病人数与该行政区的户籍人口数有相关性，而与常住人口数、面积、GDP、人口密度及人均GDP无明显相关性。确诊患者的发病时间从2020年1月1日至2020年2月14日，大部分集中在2020年1月16日至2020年2月10日。有11例(2.6%)确诊患者无症状，2例(0.5%)在入院后才出现症状。患者发病到入院的中位时间为3 d(6-1)。流行病学史分析结果：有343例(82.3%)有异地旅居史，其中77例(22.4%)到深圳前已发病，269例(78.4%)在到达深圳后才发病；聚集性患者共215例(51.6%)，多数为家庭聚集。总体病死率为0.7%(3/417)。

深圳市COVID-19确诊患者在年龄结构上与全国数据一致，但在性别分布上存在差异，这可能与输入性患者的人口结构特点有关；大部分患者为输入性患者，提示在传染病流行期间应加强出行管控和隔离；患者在各行政区的分布有明显差异，户籍人口多的区域患病人数多，因此要对户籍人口多的区域加强监控；患者的发病时间多数集中在广东省启动突发公共卫生事件一级响应后；聚集性患者多见，且轻症为主，提示应注重宣传、提高群众重视程度以减少密切接触，同时对老年、有慢性疾病者重点进行监测。

The existing literature has analyzed the epidemiological characteristics of different types of COVID-19 cases, but there is still a lack of research on the epidemiological characteristics of the disease outside the Wuhan area, especially in Shenzhen, an immigrant city. This paper intended to study the epidemiological characteristics of 417 cases of COVID-19 confirmed in Shenzhen, so as to provide reasonable suggestions for the prevention and control to highly pathogenic respiratory infectious disease in the future.

Through the Health Committee of Shenzhen, Shenzhen government hotline and Sohu.com, we collected COVID-19 confirmed cases in Shenzhen, between January 1, 2020 and February 24, 2020 (Guangdong province launched a level-1 response to a major public health emergency), and data of district resident population, household register population, area, GDP, etc. Three distribution, cluster cases and mortality of all confirmed patients were analyzed. Furthermore, the first-level response to a major public health emergency initiated in Guangdong province on January 23, 2020 was taken as the time node to analyze the differences in its epidemiological characteristics before and after that.

By February 24, 2020, a total of 417 cases of COVID-19 had been diagnosed, including 197 males (47.2%) aged 2-86 years and 220 females (52.8%) aged 1-79 years, with an overall mean age of 45.3±17.6 years. Spatial distribution in Nanshan district was the most with 87 people (20.9%), and Dapeng new area was the least with 2 people (0.5%). There was a correlation between the number of patients and the number of registered population, but there was no significant correlation between the number of resident population, area, GDP, population density, per capita GDP. The onset time was from January 1, 2020 to February 14, 2020, with most cases occurring between January 16, 2020 and February 10, 2020. Eleven (2.6%) were asymptomatic and two (0.5%) developed symptoms after admission. The mean time from onset to admission was 3.0 days (range from 1 to 6 days). Among them, 77 (22.4%) fell ill before arriving in Shenzhen, and 269 (78.4%) fell ill after arriving in Shenzhen. There were 215 (51.6%) clustered cases, most of which were family clusters. There were 3 deaths (0.7%).

The age structure of confirmed COVID-19 cases in Shenzhen is consistent with the national data, but there are differences in gender distribution, which may be related to the demographic characteristics of the imported cases. Most of the cases are imported cases, suggesting that travel control and isolation should be strengthened during the epidemic period. There are obvious differences in the distribution of patients in each administrative region. The regions with large registered population have a large number of patients. The onset time of patients is mostly concentrated after the first-level response of public health emergency has started in Guangdong province. Cluster cases are more common, and predomiently mild disease suggesting that we should pay attention to publicity, improve the attention of the masses to reduce close contact; at the same time, the elderly with chronic disease should be focused on the monitoring.