tetano
Editor, Senior Moderator
Emerg Infect Dis
. 2024 Mar;30(13):28-35.
doi: 10.3201/eid3013.230719.
Development and Evaluation of Surveillance System for Identifying Jail-Associated COVID-19 Cases in Minnesota, USA, 2022
Leah J Porter, Erica Rapheal, Rebecca Huebsch, Tiana Bastian, Trisha J Robinson, Hanna Chakoian, Karen G Martin, Jennifer Zipprich
Confinement facilities are high-risk settings for the spread of infectious disease, necessitating timely surveillance to inform public health action. To identify jail-associated COVID-19 cases from electronic laboratory reports maintained in the Minnesota Electronic Disease Surveillance System (MEDSS), Minnesota, USA, the Minnesota Department of Health developed a surveillance system that used keyword and address matching (KAM). The KAM system used a SAS program (SAS Institute Inc., https://www.sas.com) and an automated program within MEDSS to identify confinement keywords and addresses. To evaluate KAM, we matched jail booking data from the Minnesota Statewide Supervision System by full name and birthdate to the MEDSS records of adults with COVID-19 for 2022. The KAM system identified 2,212 cases in persons detained in jail; sensitivity was 92.40% and specificity was 99.95%. The success of KAM demonstrates its potential to be applied to other diseases and congregate-living settings for real-time surveillance without added reporting burden.
Keywords: 2019 novel coronavirus disease; COVID-19; Minnesota; SARS-CoV-2; United States; coronavirus disease; correctional facilities; electronic health records; electronic laboratory reports; jails; public health surveillance; residential facilities; respiratory infections; severe acute respiratory syndrome coronavirus 2; viruses; zoonoses.
. 2024 Mar;30(13):28-35.
doi: 10.3201/eid3013.230719.
Development and Evaluation of Surveillance System for Identifying Jail-Associated COVID-19 Cases in Minnesota, USA, 2022
Leah J Porter, Erica Rapheal, Rebecca Huebsch, Tiana Bastian, Trisha J Robinson, Hanna Chakoian, Karen G Martin, Jennifer Zipprich
- PMID: 38561640
- DOI: 10.3201/eid3013.230719
Confinement facilities are high-risk settings for the spread of infectious disease, necessitating timely surveillance to inform public health action. To identify jail-associated COVID-19 cases from electronic laboratory reports maintained in the Minnesota Electronic Disease Surveillance System (MEDSS), Minnesota, USA, the Minnesota Department of Health developed a surveillance system that used keyword and address matching (KAM). The KAM system used a SAS program (SAS Institute Inc., https://www.sas.com) and an automated program within MEDSS to identify confinement keywords and addresses. To evaluate KAM, we matched jail booking data from the Minnesota Statewide Supervision System by full name and birthdate to the MEDSS records of adults with COVID-19 for 2022. The KAM system identified 2,212 cases in persons detained in jail; sensitivity was 92.40% and specificity was 99.95%. The success of KAM demonstrates its potential to be applied to other diseases and congregate-living settings for real-time surveillance without added reporting burden.
Keywords: 2019 novel coronavirus disease; COVID-19; Minnesota; SARS-CoV-2; United States; coronavirus disease; correctional facilities; electronic health records; electronic laboratory reports; jails; public health surveillance; residential facilities; respiratory infections; severe acute respiratory syndrome coronavirus 2; viruses; zoonoses.