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CalCORVID: a dynamic RShiny dashboard approach to visualize spatiotemporal clusters for public health surveillance.

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Title: CalCORVID: a dynamic RShiny dashboard approach to visualize spatiotemporal clusters for public health surveillance.
Authors: Lu P; Division of Communicable Disease Control, California Department of Public Health, Richmond, CA, USA. Phoebe.Lu@cdph.ca.gov., Jain S; Division of Communicable Disease Control, California Department of Public Health, Richmond, CA, USA., León TM; Division of Communicable Disease Control, California Department of Public Health, Richmond, CA, USA., White LA; Division of Communicable Disease Control, California Department of Public Health, Richmond, CA, USA.
Source: BMC public health [BMC Public Health] 2026 Jan 13; Vol. 26 (1). Date of Electronic Publication: 2026 Jan 13.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Lu+P%22">Lu P</searchLink>; Division of Communicable Disease Control, California Department of Public Health, Richmond, CA, USA. Phoebe.Lu@cdph.ca.gov.<br /><searchLink fieldCode="AU" term="%22Jain+S%22">Jain S</searchLink>; Division of Communicable Disease Control, California Department of Public Health, Richmond, CA, USA.<br /><searchLink fieldCode="AU" term="%22León+TM%22">León TM</searchLink>; Division of Communicable Disease Control, California Department of Public Health, Richmond, CA, USA.<br /><searchLink fieldCode="AU" term="%22White+LA%22">White LA</searchLink>; Division of Communicable Disease Control, California Department of Public Health, Richmond, CA, USA.
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  Data: <searchLink fieldCode="JN" term="%22100968562%22">BMC public health</searchLink> [BMC Public Health] 2026 Jan 13; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 Jan 13.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968562 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2458 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712458%22">14712458 </searchLink><i>NLM ISO Abbreviation: </i>BMC Public Health <i>Subsets: </i>MEDLINE; In Process
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41530727
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        Value: 10.1186/s12889-026-26201-1
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      – Code: eng
        Text: English
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      – TitleFull: CalCORVID: a dynamic RShiny dashboard approach to visualize spatiotemporal clusters for public health surveillance.
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            NameFull: Lu P
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            – D: 13
              M: 01
              Text: 2026 Jan 13
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              Y: 2026
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