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A Systematic Review of the Costs Relating to Non-pharmaceutical Interventions Against Infectious Disease Outbreaks.
Skarp, Janetta E; Downey, Laura E; Ohrnberger, Julius W E; Cilloni, Lucia; Hogan, Alexandra B; Sykes, Abagael L; Wang, Susannah S; Shah, Hiral Anil; Xiao, Mimi; Hauck, Katharina.
  • Skarp JE; Imperial College London, MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), London, UK. janetta.skarp13@imperial.ac.uk.
  • Downey LE; Imperial College London, MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), London, UK.
  • Ohrnberger JWE; The George Institute for Global Health, School of Public Health, Imperial College London, London, UK.
  • Cilloni L; Imperial College London, MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), London, UK.
  • Hogan AB; Imperial College London, MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), London, UK.
  • Sykes AL; Imperial College London, MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), London, UK.
  • Wang SS; Imperial College London, MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), London, UK.
  • Shah HA; Imperial College London, MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), London, UK.
  • Xiao M; Imperial College London, MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), London, UK.
  • Hauck K; Imperial College London, MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), London, UK.
Appl Health Econ Health Policy ; 19(5): 673-697, 2021 09.
Article in English | MEDLINE | ID: covidwho-1269032
ABSTRACT

BACKGROUND:

Non-pharmaceutical interventions (NPIs) are the cornerstone of infectious disease outbreak response in the absence of effective pharmaceutical interventions. Outbreak strategies often involve combinations of NPIs that may change according to disease prevalence and population response. Little is known with regard to how costly each NPI is to implement. This information is essential to inform policy decisions for outbreak response.

OBJECTIVE:

To address this gap in existing literature, we conducted a systematic review on outbreak costings and simulation studies related to a number of NPI strategies, including isolating infected individuals, contact tracing and quarantine, and school closures.

METHODS:

Our search covered the MEDLINE and EMBASE databases, studies published between 1990 and 24 March 2020 were included. We included studies containing cost data for our NPIs of interest in pandemic, epidemic, and outbreak response scenarios.

RESULTS:

We identified 61 relevant studies. There was substantial heterogeneity in the cost components recorded for NPIs in outbreak costing studies. The direct costs of NPIs for which costing studies existed also ranged widely isolating infected individuals per case US$141.18 to US$1042.68 (2020 values), tracing and quarantine of contacts per contact US$40.73 to US$93.59, social distancing US$33.76 to US$167.92, personal protection and hygiene US$0.15 to US$895.60.

CONCLUSION:

While there are gaps and heterogeneity in available cost data, the findings of this review and the collated cost database serve as an important resource for evidence-based decision-making for estimating costs pertaining to NPI implementation in future outbreak response policies.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Appl Health Econ Health Policy Journal subject: Public Health / Health Services Year: 2021 Document Type: Article Affiliation country: S40258-021-00659-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Appl Health Econ Health Policy Journal subject: Public Health / Health Services Year: 2021 Document Type: Article Affiliation country: S40258-021-00659-z