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DISPATCHESDetecting COVID-19 Clusters at High Spatio-temporal Resolution, New York City, New York, USA, June July 2020 Sharon K. Greene, Eric R. Peterson, Dominique Alan, Lucretia Jones, Gretchen M. Cult, Annie D. Fine, Martin KulldorffA
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01
Identify geographical areas with a high number of confirmed COVID-19 cases.
02
Determine if there are any common locations or events where multiple cases have originated from.
03
Analyze data to identify patterns and trends that may indicate a cluster of cases.
04
Collaborate with local health authorities and organizations to investigate and confirm the presence of a COVID-19 cluster.
05
Implement targeted testing and contact tracing efforts within the identified cluster to contain the spread of the virus.

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Detecting COVID-19 clusters is a public health process focused on identifying groups of COVID-19 cases within a specific area or population to understand the spread of the virus.
Health authorities and organizations that monitor and report COVID-19 cases are typically required to file reports on detecting COVID-19 clusters.
Filling out detecting COVID-19 clusters involves collecting data on confirmed cases, geographical location, time frame, and any potential epidemiological links, and submitting this data to the appropriate health department or agency.
The purpose of detecting COVID-19 clusters is to identify outbreak patterns, implement targeted public health measures, and prevent further spread of the virus in communities.
Reported information typically includes the number of cases, patient demographics, symptom onset dates, and any links to specific events or locations.
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