Article(id=1241522770866131827, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241522764012647140, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202308230, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1691856000000, receivedDateStr=2023-08-13, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773931694951, onlineDateStr=2026-03-19, pubDate=1704816000000, pubDateStr=2024-01-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773931694951, onlineIssueDateStr=2026-03-19, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773931694951, creator=13701087609, updateTime=1773931694951, updator=13701087609, issue=Issue{id=1241522764012647140, tenantId=1146029695717560320, journalId=1227665162245664772, year='2024', volume='51', issue='1', pageStart='1', pageEnd='192', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773931693318, creator=13701087609, updateTime=1773931808852, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241523248643494379, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241522764012647140, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241523248643494380, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241522764012647140, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=27, endPage=33, ext={EN=ArticleExt(id=1241522771335893913, articleId=1241522770866131827, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Analysis of epidemic characteristics and spatial-temporal aggregation of other infectious diarrhea in Hubei Province from 2013 to 2022, columnId=1240413921954295836, journalTitle=Modern Preventive Medicine, columnName=Epidemiology and Statistical Methods, runingTitle=null, highlight=null, articleAbstract=
Objective To analyze the epidemiological and spatial-temporal aggregation characteristics of other infectious diarrhea (OID) in Hubei Province from 2013 to 2022, to provide scientific basis for disease prevention and control.
Methods The data were collected from the infectious disease surveillance and reporting system of China Disease Prevention and Control Information system. Descriptive epidemiological methods, seasonal index analysis, and spatial autocorrelation analysis were used.
Results A total of 393 817 OID cases were reported in Hubei Province from 2013 to 2022. The reported annual incidence rate was 49.2/100 000 to 89.2/100 000. The overall incidence increased at first and then decreased. There were two peaks of incidence in winter and summer every year. The incidence rate showed a high-to-low trend from west to east, and the high incidence area changed dynamically with time, mainly in northwest and southwest regions. The sex ratio of reported cases ranged from 1.20 to 1.31, mainly in children under 5 years old (55.3%) and elderly people aged 60 and above(34.0%). The occupational categories were mainly children living at home (53.1%) and farmers (23.0%). Of the reported cases, 43 020(10.9%) were laboratory confirmed cases, of which viral diarrhea accounted for 95.4% and bacterial diarrhea accounted for 4.4%. The results of seasonal index analysis showed that there was a seasonal backshift in the epidemic month of viral diarrhea. The results of spatial autocorrelation analysis showed that the Moran I index was between 0.307 and 0.401, and there was spatial aggregation in each year. The number of “high-high” aggregation areas fluctuated and decreased, and the distribution was mainly in the northwest.
Conclusion The incidence of OID in Hubei Province fluctuates, and there are obvious characteristics of temporal and spatial aggregation. Attention should be paid to the high incidence areas and key populations in the northwest, and the surveillance, prevention, and control of OID should be strengthened.
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目的 分析2013—2022年湖北省其他感染性腹泻病（other infectious diarrhea diseases，OID）的流行病学及时空聚集特征，为疾病防控提供科学依据。
方法 数据来自中国疾病预防控制信息系统传染病监测报告系统，采用描述性流行病学方法、季节指数分析法、空间自相关分析方法进行分析。
结果 2013—2022年湖北省累积报告OID 393 817例，报告年发病率在49.2/10万～89.2/10万之间，发病总体先上升后下降。每年均有冬季和夏季两个发病高峰。发病率从西向东呈由高到低的趋势，高发地区随时间动态变化，以西北和西南地区为主。报告病例的男女性别比在1.20:1至1.31:1之间，年龄以5岁以下儿童（55.3%）和60岁及以上老年人（34.0%）为主，职业分类以散居儿童（53.1%）和农民（23.0%）为主。报告病例中实验室确诊病例43 020例（10.9%），其中病毒性腹泻占比95.4%，细菌性腹泻占比4.4%。季节指数分析结果显示，病毒性腹泻流行月份存在季节性后移现象。空间自相关分析结果显示，Moran I指数在0.307至0.401之间，各年度发病均存在空间聚集性（P<0.05），“高-高”聚集区数量总体波动下降，分布以西北部为主。
结论 湖北省OID发病呈波动态势，存在明显的时空聚集特征，需关注西北部高发聚集区和重点人群，继续加强对OID的监测和防控。
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李粉粉（1993—），女，硕士，公卫医师，研究方向：传染病流行病学
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Case number and incidence of OID in Hubei Province from 2013 to 2022, figureFileSmall=hGPsYZqrzQaewcJVW/Ic0Q==, figureFileBig=K1SpXcdgpRy3rm1L2i2PGg==, tableContent=null), ArticleFig(id=1241677617523380574, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=CN, label=图1, caption=
2013—2022年湖北省OID月报告病例数和发病率, figureFileSmall=hGPsYZqrzQaewcJVW/Ic0Q==, figureFileBig=K1SpXcdgpRy3rm1L2i2PGg==, tableContent=null), ArticleFig(id=1241677617678569842, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=EN, label=Figure 2, caption=
Seasonal index of OID in Hubei Province from 2013 to 2022, figureFileSmall=4H3/vb3Gm0mhzRU5FJt1cQ==, figureFileBig=zbGR+nT7er2fA6MWP8bIBg==, tableContent=null), ArticleFig(id=1241677617812787578, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=CN, label=图2, caption=
2013—2022年湖北省OID季节指数, figureFileSmall=4H3/vb3Gm0mhzRU5FJt1cQ==, figureFileBig=zbGR+nT7er2fA6MWP8bIBg==, tableContent=null), ArticleFig(id=1241677617980559751, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=EN, label=Figure 3, caption=
Regional distribution map of reported cases of OID in Hubei Province from 2013 to 2022, figureFileSmall=oNdWYzA3re2ZzNfXsHnIUw==, figureFileBig=xL/8+TAyvqjkVCrtwC/PMQ==, tableContent=null), ArticleFig(id=1241677618177692048, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=CN, label=图3, caption=
2013—2022年湖北省OID地区分布, figureFileSmall=oNdWYzA3re2ZzNfXsHnIUw==, figureFileBig=xL/8+TAyvqjkVCrtwC/PMQ==, tableContent=null), ArticleFig(id=1241677618341269919, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=EN, label=Figure 4, caption=
LISA cluster map of local autocorrelation analysis of OID in Hubei Province from 2013 to 2022, figureFileSmall=qgPeBN6EljgAZpszIGQvWA==, figureFileBig=kdN9afUe8O1k/pPb3DC5dQ==, tableContent=null), ArticleFig(id=1241677618458710443, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=CN, label=图4, caption=
2013—2022年湖北省OID LISA聚类图, figureFileSmall=qgPeBN6EljgAZpszIGQvWA==, figureFileBig=kdN9afUe8O1k/pPb3DC5dQ==, tableContent=null), ArticleFig(id=1241677618613899705, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=EN, label=Figure 5, caption=
Monthly distribution of reported incidence of OID in Hubei Province from 2013 to 2022, figureFileSmall=emzYeWSlHFZEjk0E5YyMJg==, figureFileBig=fAYb2XjJ68JBXymyG4+YzA==, tableContent=null), ArticleFig(id=1241677618731340227, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=CN, label=图5, caption=
2013—2022年湖北省不同年龄组OID月报告发病率注：图A为5岁以下组；图B为5岁及以上组。
, figureFileSmall=emzYeWSlHFZEjk0E5YyMJg==, figureFileBig=fAYb2XjJ68JBXymyG4+YzA==, tableContent=null), ArticleFig(id=1241677618844586441, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=EN, label=Table 1, caption=
Number and incidence of OID in Hubei Province from 2013 to 2022
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份（年） | 报告病例数 | 报告年发病率（/10万） |
|---|
| 2013 | 34 572 | 60.8 |
| 2014 | 30 353 | 53.1 |
| 2015 | 35 138 | 60.8 |
| 2016 | 42 339 | 72.6 |
| 2017 | 52 082 | 89.2 |
| 2018 | 47 684 | 81.3 |
| 2019 | 49 107 | 83.6 |
| 2020 | 28 961 | 49.2 |
| 2021 | 38 555 | 67.1 |
| 2022 | 35 026 | 60.2 |
), ArticleFig(id=1241677619050107349, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=CN, label=表1, caption=
2013—2022年湖北省OID年报告病例数和发病率
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份（年） | 报告病例数 | 报告年发病率（/10万） |
|---|
| 2013 | 34 572 | 60.8 |
| 2014 | 30 353 | 53.1 |
| 2015 | 35 138 | 60.8 |
| 2016 | 42 339 | 72.6 |
| 2017 | 52 082 | 89.2 |
| 2018 | 47 684 | 81.3 |
| 2019 | 49 107 | 83.6 |
| 2020 | 28 961 | 49.2 |
| 2021 | 38 555 | 67.1 |
| 2022 | 35 026 | 60.2 |
), ArticleFig(id=1241677619171742174, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=EN, label=Table 2, caption=
Global spatial autocorrelation analysis of OID in Hubei Province from 2013 to 2022
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份（年） | Moran I | Z值 | P值 |
|---|
| 2013 | 0.344 | 4.788 | 0.001 |
| 2014 | 0.348 | 4.700 | 0.001 |
| 2015 | 0.320 | 4.416 | 0.001 |
| 2016 | 0.347 | 5.014 | 0.001 |
| 2017 | 0.389 | 5.323 | 0.001 |
| 2018 | 0.401 | 5.414 | 0.001 |
| 2019 | 0.347 | 4.757 | 0.001 |
| 2020 | 0.307 | 4.495 | 0.002 |
| 2021 | 0.342 | 5.100 | 0.002 |
| 2022 | 0.244 | 3.550 | 0.005 |
), ArticleFig(id=1241677619272405481, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=CN, label=表2, caption=
2013—2022年湖北省OID全局空间自相关分析结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份（年） | Moran I | Z值 | P值 |
|---|
| 2013 | 0.344 | 4.788 | 0.001 |
| 2014 | 0.348 | 4.700 | 0.001 |
| 2015 | 0.320 | 4.416 | 0.001 |
| 2016 | 0.347 | 5.014 | 0.001 |
| 2017 | 0.389 | 5.323 | 0.001 |
| 2018 | 0.401 | 5.414 | 0.001 |
| 2019 | 0.347 | 4.757 | 0.001 |
| 2020 | 0.307 | 4.495 | 0.002 |
| 2021 | 0.342 | 5.100 | 0.002 |
| 2022 | 0.244 | 3.550 | 0.005 |
), ArticleFig(id=1241677619406623220, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=EN, label=Table 3, caption=
Numbers of clustering areas of OID in Hubei Province from 2013 to 2022
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份（年） | “高-高”聚集区 | “低-低”聚集区 | “低-高”聚集区 | “高-低”聚集区 |
|---|
| 2013 | 11 | 6 | 2 | 1 |
| 2014 | 12 | 11 | 1 | 1 |
| 2015 | 8 | 10 | 1 | 1 |
| 2016 | 7 | 9 | 1 | 1 |
| 2017 | 10 | 8 | 1 | 2 |
| 2018 | 11 | 7 | 1 | 2 |
| 2019 | 8 | 7 | 0 | 2 |
| 2020 | 6 | 12 | 0 | 1 |
| 2021 | 6 | 15 | 0 | 0 |
| 2022 | 4 | 15 | 3 | 0 |
), ArticleFig(id=1241677620958515706, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241522770866131827, language=CN, label=表3, caption=
2013—2022年湖北省OID聚集区数量
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份（年） | “高-高”聚集区 | “低-低”聚集区 | “低-高”聚集区 | “高-低”聚集区 |
|---|
| 2013 | 11 | 6 | 2 | 1 |
| 2014 | 12 | 11 | 1 | 1 |
| 2015 | 8 | 10 | 1 | 1 |
| 2016 | 7 | 9 | 1 | 1 |
| 2017 | 10 | 8 | 1 | 2 |
| 2018 | 11 | 7 | 1 | 2 |
| 2019 | 8 | 7 | 0 | 2 |
| 2020 | 6 | 12 | 0 | 1 |
| 2021 | 6 | 15 | 0 | 0 |
| 2022 | 4 | 15 | 3 | 0 |
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