2020
DOI: 10.1101/2020.08.10.20169649
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The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: monitoring county level vulnerability

Abstract: While the COVID-19 pandemic presents a global challenge, the U.S. response places substantial responsibility for both decision-making and communication on local health authorities. To better support counties and municipalities, we integrated baseline data on relevant community vulnerabilities with dynamic data on local infection rates and interventions into a Pandemic Vulnerability Index (PVI). The PVI presents a visual synthesis of county-level vulnerability indicators that can be compared in a regional, stat… Show more

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Cited by 15 publications
(10 citation statements)
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“…Google Maps show and demonstrate an online dashboard that compares the IP days and IPcase index across provinces, metropolitan cities, and areas in China [ 44 , 45 , 46 , 47 , 48 ]. This is a modern and innovative data representation and is better than the traditional static-image display [ 54 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Google Maps show and demonstrate an online dashboard that compares the IP days and IPcase index across provinces, metropolitan cities, and areas in China [ 44 , 45 , 46 , 47 , 48 ]. This is a modern and innovative data representation and is better than the traditional static-image display [ 54 ].…”
Section: Discussionmentioning
confidence: 99%
“…The animated dashboards designed for this study also surpass the static images in relevant articles [ 54 ]. One picture is worth 1000 words [ 59 ].…”
Section: Discussionmentioning
confidence: 99%
“…PVI score is an indicator that combined community vulnerabilities baseline data with local infection rates and interventions, which can be used to compare the COVID‐19 disease burden at a local, state, and national level. It can inform the researchers, governors, and publics about the vulnerability of each region 11 . As such, it is updated on a daily basis on the National Institute of Health (NIH) website, https://covid19pvi.niehs.nih.gov/.…”
Section: Methodsmentioning
confidence: 99%
“…AI‐assisted analysis and modelling have also helped reconstruct the progression of an outbreak, elucidate transmission pathways, identify and trace contacts, and determine real or expected impacts of various public health control measures (Box 1). 7,8,9,10,11…”
Section: Detecting Outbreaks Tracing Contacts and Shaping Public Heamentioning
confidence: 99%