基于人群的纽约市COVID-19期间患病率和月累计发病率估算:2020年7月至8月三次调查估算值的比较

Survey practice Pub Date : 2023-09-28 DOI:10.29115/sp-2023-0016

Kathryn Peebles, Michael Witt, Jo-Anne Caton, Michael L Sanderson, Sharon E Perlman, Steven Fernandez, Sarah E Dumas, Karen A Alroy, Andrew Burkey, Nicholas Ruther, John Sokolowski, R. Charon Gwynn, L Hannah Gould, Amber Levanon Seligson

{"title":"基于人群的纽约市COVID-19期间患病率和月累计发病率估算:2020年7月至8月三次调查估算值的比较","authors":"Kathryn Peebles, Michael Witt, Jo-Anne Caton, Michael L Sanderson, Sharon E Perlman, Steven Fernandez, Sarah E Dumas, Karen A Alroy, Andrew Burkey, Nicholas Ruther, John Sokolowski, R. Charon Gwynn, L Hannah Gould, Amber Levanon Seligson","doi":"10.29115/sp-2023-0016","DOIUrl":null,"url":null,"abstract":"Background Diagnosis-based surveillance of COVID-19 underestimates COVID-19 burden. Questions about COVID-19-consistent symptoms were added to three population-based surveys to obtain representative estimates of COVID-19 period prevalence and monthly cumulative incidence. Objective To evaluate if estimates of COVID-19 period prevalence and cumulative monthly incidence differed when collected from surveys with different sampling frames and modes of administration. Methods Data were collected from adult New York City (NYC) residents via the Community Health Survey (CHS) (sampling frame: random digit dial with dual landline and cellphone frame; mode: phone) and the Citywide Mobility Survey (CMS) (sampling frame: probabilistically selected panel; mode: online) in July 2020 and via CHS and Healthy NYC (sampling frame: probabilistically selected panel; mode: online and phone) in August 2020. Persons with COVID-19-like illness (CLI) were identified based on reported symptoms in the past 30 days. To obtain COVID-19 estimates, CLI estimates were adjusted by the proportion of laboratory-confirmed SARS-CoV-2 infections among citywide emergency department CLI visits in which patients received SARS-CoV-2 testing. We used t-tests to compare estimated CLI period prevalence in July 2020 between CHS and CMS and CLI period prevalence and cumulative monthly incidence in August 2020 between CHS and Healthy NYC. Results CLI period prevalence was similar between CHS and CMS during July (12.2% vs. 9.9%, respectively, p=0.511); COVID-19 period prevalence was 1.7% and 1.3%, respectively. In contrast, CLI period prevalence was higher per Healthy NYC during August 2020 than CHS (18.1% vs. 11.3%, p=0.014); COVID-19 period prevalence was 0.7% and 0.4%, respectively. CLI cumulative monthly incidence in August was similar (5.7% and 4.0%, respectively; p=0.246) in both surveys. Conclusions Because estimates of CLI were not consistently different by sampling frame or mode of administration, additional research to understand the cause of differences between CHS and Healthy NYC can support use of symptom-based surveillance to monitor COVID-19 trends.","PeriodicalId":74893,"journal":{"name":"Survey practice","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Population-based estimates of COVID-19 period prevalence and cumulative monthly incidence in New York City: A comparison of estimates from three surveys, July–August 2020\",\"authors\":\"Kathryn Peebles, Michael Witt, Jo-Anne Caton, Michael L Sanderson, Sharon E Perlman, Steven Fernandez, Sarah E Dumas, Karen A Alroy, Andrew Burkey, Nicholas Ruther, John Sokolowski, R. Charon Gwynn, L Hannah Gould, Amber Levanon Seligson\",\"doi\":\"10.29115/sp-2023-0016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background Diagnosis-based surveillance of COVID-19 underestimates COVID-19 burden. Questions about COVID-19-consistent symptoms were added to three population-based surveys to obtain representative estimates of COVID-19 period prevalence and monthly cumulative incidence. Objective To evaluate if estimates of COVID-19 period prevalence and cumulative monthly incidence differed when collected from surveys with different sampling frames and modes of administration. Methods Data were collected from adult New York City (NYC) residents via the Community Health Survey (CHS) (sampling frame: random digit dial with dual landline and cellphone frame; mode: phone) and the Citywide Mobility Survey (CMS) (sampling frame: probabilistically selected panel; mode: online) in July 2020 and via CHS and Healthy NYC (sampling frame: probabilistically selected panel; mode: online and phone) in August 2020. Persons with COVID-19-like illness (CLI) were identified based on reported symptoms in the past 30 days. To obtain COVID-19 estimates, CLI estimates were adjusted by the proportion of laboratory-confirmed SARS-CoV-2 infections among citywide emergency department CLI visits in which patients received SARS-CoV-2 testing. We used t-tests to compare estimated CLI period prevalence in July 2020 between CHS and CMS and CLI period prevalence and cumulative monthly incidence in August 2020 between CHS and Healthy NYC. Results CLI period prevalence was similar between CHS and CMS during July (12.2% vs. 9.9%, respectively, p=0.511); COVID-19 period prevalence was 1.7% and 1.3%, respectively. In contrast, CLI period prevalence was higher per Healthy NYC during August 2020 than CHS (18.1% vs. 11.3%, p=0.014); COVID-19 period prevalence was 0.7% and 0.4%, respectively. CLI cumulative monthly incidence in August was similar (5.7% and 4.0%, respectively; p=0.246) in both surveys. Conclusions Because estimates of CLI were not consistently different by sampling frame or mode of administration, additional research to understand the cause of differences between CHS and Healthy NYC can support use of symptom-based surveillance to monitor COVID-19 trends.\",\"PeriodicalId\":74893,\"journal\":{\"name\":\"Survey practice\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Survey practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29115/sp-2023-0016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Survey practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29115/sp-2023-0016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

基于诊断的COVID-19监测低估了COVID-19的负担。在三项基于人群的调查中增加与COVID-19一致症状的问题，以获得COVID-19期间患病率和每月累计发病率的代表性估计。目的评价不同采样框架和不同给药方式的调查收集的COVID-19期患病率和月累计发病率估计值是否存在差异。方法通过社区健康调查(CHS)对纽约市成年居民进行数据收集(抽样框架:固定电话和手机双框架随机数字拨号;模式:电话)和全市交通调查(CMS)(抽样框架:概率选择面板;模式:在线)，并通过CHS和健康纽约市(抽样框架:概率选择的小组;模式:在线和电话)，2020年8月。根据过去30天报告的症状确定了患有covid -19样疾病(CLI)的人。为了获得COVID-19估计值，CLI估计值根据接受SARS-CoV-2检测的全市急诊科CLI就诊中实验室确诊的SARS-CoV-2感染比例进行调整。我们使用t检验来比较CHS和CMS在2020年7月的CLI期患病率，以及CHS和Healthy NYC在2020年8月的CLI期患病率和累积月发病率。结果7月CHS和CMS的CLI期患病率相似(分别为12.2%和9.9%，p=0.511);COVID-19期间的患病率分别为1.7%和1.3%。相比之下，2020年8月健康纽约市的CLI期患病率高于CHS(18.1%比11.3%，p=0.014);COVID-19期间的患病率分别为0.7%和0.4%。8月份CLI的月累计发病率相似，分别为5.7%和4.0%;P =0.246)。结论:由于对CLI的估计并不总是因抽样框架或给药模式而不同，因此进一步研究以了解CHS和健康纽约市之间差异的原因，可以支持使用基于症状的监测来监测COVID-19趋势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Population-based estimates of COVID-19 period prevalence and cumulative monthly incidence in New York City: A comparison of estimates from three surveys, July–August 2020

Background Diagnosis-based surveillance of COVID-19 underestimates COVID-19 burden. Questions about COVID-19-consistent symptoms were added to three population-based surveys to obtain representative estimates of COVID-19 period prevalence and monthly cumulative incidence. Objective To evaluate if estimates of COVID-19 period prevalence and cumulative monthly incidence differed when collected from surveys with different sampling frames and modes of administration. Methods Data were collected from adult New York City (NYC) residents via the Community Health Survey (CHS) (sampling frame: random digit dial with dual landline and cellphone frame; mode: phone) and the Citywide Mobility Survey (CMS) (sampling frame: probabilistically selected panel; mode: online) in July 2020 and via CHS and Healthy NYC (sampling frame: probabilistically selected panel; mode: online and phone) in August 2020. Persons with COVID-19-like illness (CLI) were identified based on reported symptoms in the past 30 days. To obtain COVID-19 estimates, CLI estimates were adjusted by the proportion of laboratory-confirmed SARS-CoV-2 infections among citywide emergency department CLI visits in which patients received SARS-CoV-2 testing. We used t-tests to compare estimated CLI period prevalence in July 2020 between CHS and CMS and CLI period prevalence and cumulative monthly incidence in August 2020 between CHS and Healthy NYC. Results CLI period prevalence was similar between CHS and CMS during July (12.2% vs. 9.9%, respectively, p=0.511); COVID-19 period prevalence was 1.7% and 1.3%, respectively. In contrast, CLI period prevalence was higher per Healthy NYC during August 2020 than CHS (18.1% vs. 11.3%, p=0.014); COVID-19 period prevalence was 0.7% and 0.4%, respectively. CLI cumulative monthly incidence in August was similar (5.7% and 4.0%, respectively; p=0.246) in both surveys. Conclusions Because estimates of CLI were not consistently different by sampling frame or mode of administration, additional research to understand the cause of differences between CHS and Healthy NYC can support use of symptom-based surveillance to monitor COVID-19 trends.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Survey practice

自引率

0.00%

发文量