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Contact tracing indicators for COVID-19: Rapid scoping review and conceptual framework.
Vogt, Florian; Kurup, Karishma Krishna; Mussleman, Paul; Habrun, Caroline; Crowe, Madeleine; Woodward, Alexandra; Jaramillo-Gutierrez, Giovanna; Kaldor, John; Vong, Sirenda; Del Rio Vilas, Victor.
  • Vogt F; The Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia.
  • Kurup KK; National Centre for Epidemiology and Population Health, Australian National University, Canberra, The Australian Capital Territory, Australia.
  • Mussleman P; Independent Public Health Consultant, New Delhi, India.
  • Habrun C; University Libraries, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
  • Crowe M; New Mexico Emerging Infections Program, University of New Mexico, Albuquerque, New Mexico, United States of America.
  • Woodward A; Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
  • Jaramillo-Gutierrez G; Armed Forces Health Surveillance Division, U.S. Department of Defense, Global Emerging Infections Surveillance, Silver Spring, Maryland, United States of America.
  • Kaldor J; Global Outbreak Alert & Response Network, World Health Organization, Geneva, Switzerland.
  • Vong S; The Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia.
  • Del Rio Vilas V; South East Asia Regional Office, World Health Organization, New Delhi, India.
PLoS One ; 17(2): e0264433, 2022.
Article in English | MEDLINE | ID: covidwho-1714781
ABSTRACT

BACKGROUND:

Contact tracing is one of the key interventions in response to the COVID-19 pandemic but its implementation varies widely across countries. There is little guidance on how to monitor contact tracing performance, and no systematic overview of indicators to assess contact tracing systems or conceptual framework for such indicators exists to date.

METHODS:

We conducted a rapid scoping review using a systematic literature search strategy in the peer-reviewed and grey literature as well as open source online documents. We developed a conceptual framework to map indicators by type (input, process, output, outcome, impact) and thematic area (human resources, financial resources, case investigation, contact identification, contact testing, contact follow up, case isolation, contact quarantine, transmission chain interruption, incidence reduction).

RESULTS:

We identified a total of 153 contact tracing indicators from 1,555 peer-reviewed studies, 894 studies from grey literature sources, and 15 sources from internet searches. Two-thirds of indicators were process indicators (102; 67%), while 48 (31%) indicators were output indicators. Only three (2%) indicators were input indicators. Indicators covered seven out of ten conceptualized thematic areas, with more than half being related to either case investigation (37; 24%) or contact identification (44; 29%). There were no indicators for the input area "financial resources", the outcome area "transmission chain interruption", and the impact area "incidence reduction".

CONCLUSIONS:

Almost all identified indicators were either process or output indicators focusing on case investigation, contact identification, case isolation or contact quarantine. We identified important gaps in input, outcome and impact indicators, which constrains evidence-based assessment of contact tracing systems. A universally agreed set of indicators is needed to allow for cross-system comparisons and to improve the performance of contact tracing systems.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Quarantine / Pandemics / Mobile Applications / SARS-CoV-2 / COVID-19 Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0264433

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Quarantine / Pandemics / Mobile Applications / SARS-CoV-2 / COVID-19 Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0264433