{"title":"[COVID-19登记数据完整性和可靠性的人群差异]。","authors":"Babette van Deursen, Ester A L de Jonge","doi":"10.1007/s12508-022-00358-7","DOIUrl":null,"url":null,"abstract":"<p><p>During the COVID-19 pandemic, the bidirectional relationship between policy and data reliability has been a challenge for researchers of the local municipal health services. Policy decisions on population specific test locations and selective registration of negative test results led to population differences in data quality. This hampered the calculation of reliable population specific infection rates needed to develop proper data driven public health policy.</p>","PeriodicalId":23308,"journal":{"name":"TSG - Tijdschrift voor gezondheidswetenschappen","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362410/pdf/","citationCount":"1","resultStr":"{\"title\":\"[Population differences in the completeness and reliability of COVID-19 registration data].\",\"authors\":\"Babette van Deursen, Ester A L de Jonge\",\"doi\":\"10.1007/s12508-022-00358-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>During the COVID-19 pandemic, the bidirectional relationship between policy and data reliability has been a challenge for researchers of the local municipal health services. Policy decisions on population specific test locations and selective registration of negative test results led to population differences in data quality. This hampered the calculation of reliable population specific infection rates needed to develop proper data driven public health policy.</p>\",\"PeriodicalId\":23308,\"journal\":{\"name\":\"TSG - Tijdschrift voor gezondheidswetenschappen\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362410/pdf/\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TSG - Tijdschrift voor gezondheidswetenschappen\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s12508-022-00358-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TSG - Tijdschrift voor gezondheidswetenschappen","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s12508-022-00358-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
[Population differences in the completeness and reliability of COVID-19 registration data].
During the COVID-19 pandemic, the bidirectional relationship between policy and data reliability has been a challenge for researchers of the local municipal health services. Policy decisions on population specific test locations and selective registration of negative test results led to population differences in data quality. This hampered the calculation of reliable population specific infection rates needed to develop proper data driven public health policy.