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Transmission Risk Assessment Checklist

By Agriculture and Rural Development Division (VPS/PTI/ARD)

The series of documents includes general recommendations to minimize the risk of COVID-19 transmission in the tourism sector, as well as specific recommendations for different tourist subsectors and spaces (accommodations, restaurants, local transport, beaches, airports and ports). It also includes recommendations for managing prevention protocols and specific tools to minimize transmission. The series is derived from an evaluation-diagnosis exercise that determined the adequacy of the current biosafety protocols against COVID-19 in a set of tourism subsectors, identifying the main nodes of risk of contagion throughout the service provision process. The series is made up of 10 documents: Reading Guide, R01 General Recommendations, R02.1-R02.5 Specific Recommendations by Subsector (tourist accommodation, restaurants, local transport, beaches, ports and airports), R03 Recommendations for Managing Prevention Protocols, and E02.1-E02.2 Specific Tools to Minimize Transmission.

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Metadata & use

Identifier https://doi.org/10.60966/1pph-zx26
License Creative Commons Attribution–NonCommercial–NoDerivs 3.0 IGO
Citation

Inter-American Development Bank (2021). Transmission Risk Assessment Checklist. IDB Open Data. https://doi.org/10.60966/1pph-zx26
Published date 2021-11-17
Modified date 2026-06-15
Tags/Keywords Coronavirus · Disease · Hand Hygiene · Health Risk Assessment · Pandemic · Preventive Healthcare · Social Distancing · Tourism · Tourism Complex
Language
  1. English
Temporal coverage 2020-2020
Country
Argentina
Bahamas
Barbados
Belize
Bolivia
Brazil
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Guatemala
Guyana
Haiti
Honduras
Jamaica
Mexico
Nicaragua
Panama
Paraguay
Peru
Suriname
Trinidad & Tobago
Uruguay
Venezuela
Region Latin America and the Caribbean
Publisher
Inter-American Development Bank
Author
Inter-American Development Bank
Data collection type Observational Data
Data structure Semistructured Data

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