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Real-Time Digital Contact Tracing: Development of a System to Control COVID-19 Outbreaks in Nursing Homes and Long-Term Care Facilities.
Wilmink, Gerald; Summer, Ilyssa; Marsyla, David; Sukhu, Subhashree; Grote, Jeffrey; Zobel, Gregory; Fillit, Howard; Movva, Satish.
  • Wilmink G; CarePredict, Plantation, FL, United States.
  • Summer I; CarePredict, Plantation, FL, United States.
  • Marsyla D; CarePredict, Plantation, FL, United States.
  • Sukhu S; CarePredict, Plantation, FL, United States.
  • Grote J; CarePredict, Plantation, FL, United States.
  • Zobel G; CarePredict, Plantation, FL, United States.
  • Fillit H; Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Movva S; Alzheimer's Drug Discovery Foundation, New York, NY, United States.
JMIR Public Health Surveill ; 6(3): e20828, 2020 08 25.
Article in English | MEDLINE | ID: covidwho-693311
ABSTRACT

BACKGROUND:

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can spread rapidly in nursing homes and long-term care (LTC) facilities. Symptoms-based screening and manual contact tracing have limitations that render them ineffective for containing the viral spread in LTC facilities. Symptoms-based screening alone cannot identify asymptomatic people who are infected, and the viral spread is too fast in confined living quarters to be contained by slow manual contact tracing processes.

OBJECTIVE:

We describe the development of a digital contact tracing system that LTC facilities can use to rapidly identify and contain asymptomatic and symptomatic SARS-CoV-2 infected contacts. A compartmental model was also developed to simulate disease transmission dynamics and to assess system performance versus conventional methods.

METHODS:

We developed a compartmental model parameterized specifically to assess the coronavirus disease (COVID-19) transmission in LTC facilities. The model was used to quantify the impact of asymptomatic transmission and to assess the performance of several intervention groups to control outbreaks no intervention, symptom mapping, polymerase chain reaction testing, and manual and digital contact tracing.

RESULTS:

Our digital contact tracing system allows users to rapidly identify and then isolate close contacts, store and track infection data in a respiratory line listing tool, and identify contaminated rooms. Our simulation results indicate that the speed and efficiency of digital contact tracing contributed to superior control performance, yielding up to 52% fewer cases than conventional methods.

CONCLUSIONS:

Digital contact tracing systems show promise as an effective tool to control COVID-19 outbreaks in LTC facilities. As facilities prepare to relax restrictions and reopen to outside visitors, such tools will allow them to do so in a surgical, cost-effective manner that controls outbreaks while safely giving residents back the life they once had before this pandemic hit.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Residential Facilities / Disease Outbreaks / Contact Tracing / Coronavirus Infections / Pandemics / Nursing Homes Type of study: Experimental Studies / Observational study / Randomized controlled trials Topics: Long Covid Limits: Aged / Humans Country/Region as subject: North America Language: English Journal: JMIR Public Health Surveill Year: 2020 Document Type: Article Affiliation country: 20828

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Residential Facilities / Disease Outbreaks / Contact Tracing / Coronavirus Infections / Pandemics / Nursing Homes Type of study: Experimental Studies / Observational study / Randomized controlled trials Topics: Long Covid Limits: Aged / Humans Country/Region as subject: North America Language: English Journal: JMIR Public Health Surveill Year: 2020 Document Type: Article Affiliation country: 20828