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互联网上胃肠道症状搜索量增加可能预示着美国热点地区的 COVID-19 病例。

Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots.

机构信息

Department of Medicine, North Shore Medical Center, Salem, Massachusetts.

Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.

出版信息

Clin Gastroenterol Hepatol. 2020 Nov;18(12):2833-2834.e3. doi: 10.1016/j.cgh.2020.06.058. Epub 2020 Jul 3.

DOI:10.1016/j.cgh.2020.06.058
PMID:32629121
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7834024/
Abstract

Google Trends is an online tool that allows measurement of search term popularity on Google, spatially and temporally. While not an epidemiological tool for determining incidence, it can estimate the popularity of a certain disease by search volume over time. It has previously correlated well with infectious disease incidence and has demonstrated utility in disease forecasting, especially with influenza data. We utilized Google Trends to investigate whether search interest in common gastrointestinal (GI) symptoms would correlate with coronavirus disease 2019 (COVID-19) incidence data.

摘要

谷歌趋势（Google Trends）是一种在线工具，可在空间和时间上衡量谷歌搜索词的流行度。虽然它不是用于确定发病率的流行病学工具，但可以通过随时间推移的搜索量来估计某种疾病的流行程度。它以前与传染病发病率相关性较好，并已证明在疾病预测方面具有实用性，尤其是在流感数据方面。我们利用谷歌趋势（Google Trends）来研究胃肠道（GI）常见症状的搜索量是否与 2019 冠状病毒病（COVID-19）发病率数据相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad9a/7834024/73beabc641f5/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad9a/7834024/73beabc641f5/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad9a/7834024/73beabc641f5/gr1_lrg.jpg

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2
Prevalence and Characteristics of Gastrointestinal Symptoms in Patients With Severe Acute Respiratory Syndrome Coronavirus 2 Infection in the United States: A Multicenter Cohort Study.美国严重急性呼吸综合征冠状病毒2感染患者胃肠道症状的患病率及特征：一项多中心队列研究
Gastroenterology. 2020 Aug;159(2):765-767.e2. doi: 10.1053/j.gastro.2020.04.045. Epub 2020 Apr 22.
3
PLoS One. 2022 Jun 7;17(6):e0269573. doi: 10.1371/journal.pone.0269573. eCollection 2022.
4
Interest in Home Birth During the COVID-19 Pandemic: Analysis of Google Trends Data.新冠疫情期间对家庭分娩的兴趣：谷歌趋势数据分析。
J Midwifery Womens Health. 2022 Jul;67(4):427-434. doi: 10.1111/jmwh.13341. Epub 2022 Mar 10.
5
An open repository of real-time COVID-19 indicators.实时 COVID-19 指标开放知识库。
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6
Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea From 2020 to 2021: Infodemiology Study.利用 2020 年至 2021 年韩国搜索引擎查询数据预测每日新增 COVID-19 病例和死亡人数：信息流行病学研究。
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7
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9
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5
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