Project Details
Description
Human mobility constitutes the main risk of importation and dissemination of SARS-COV-2 infection.
Therefore, the effect of the measures adopted to reduce mobility aimed at reducing the probability of contacts, together with reliable epidemiological information, allow inferences to be made about the growth of the infection and its effect on the response capacity of the health system at the national level. and regional.
Based on this information, it is possible to evaluate the risk of isolation/social distancing decisions at the regional level, design mobility reduction policies, spatially segregated partial isolations that allow the mobility of sectors and regions depending on the risk, and focus efforts in spatial units where there are different types of threats.
Likewise, it constitutes a tool for the informed application of serological tests that allow establishing the magnitude of the exposed population in regions with different connectivities.
The usefulness of this tool for health policies aimed at containing the SARS-COV2 epidemic depends largely on the reliability and availability of epidemiological data on the infection.
AIM
Provide information for decision-making on public policies associated with the SARS-COV-2 pandemic.
Given the scale of the available data, and a possible post-quarantine scenario, it is crucial to measure flows between populations to measure and control the spread of infection in areas with different health care response capacities.
This document is an input to evaluate the effectiveness of isolation measures between Structured Populations and establish the magnitude of population flows between and within spatial units.
This initiative pursues the following objectives:
• Identify how spatial units defined as municipalities, localities or other administrative units are connected over time through human mobility.
• Identify the risk of importing cases between spatial units given an epidemiological context and provide an x-ray of the changes in human mobility at different times.
Therefore, the effect of the measures adopted to reduce mobility aimed at reducing the probability of contacts, together with reliable epidemiological information, allow inferences to be made about the growth of the infection and its effect on the response capacity of the health system at the national level. and regional.
Based on this information, it is possible to evaluate the risk of isolation/social distancing decisions at the regional level, design mobility reduction policies, spatially segregated partial isolations that allow the mobility of sectors and regions depending on the risk, and focus efforts in spatial units where there are different types of threats.
Likewise, it constitutes a tool for the informed application of serological tests that allow establishing the magnitude of the exposed population in regions with different connectivities.
The usefulness of this tool for health policies aimed at containing the SARS-COV2 epidemic depends largely on the reliability and availability of epidemiological data on the infection.
AIM
Provide information for decision-making on public policies associated with the SARS-COV-2 pandemic.
Given the scale of the available data, and a possible post-quarantine scenario, it is crucial to measure flows between populations to measure and control the spread of infection in areas with different health care response capacities.
This document is an input to evaluate the effectiveness of isolation measures between Structured Populations and establish the magnitude of population flows between and within spatial units.
This initiative pursues the following objectives:
• Identify how spatial units defined as municipalities, localities or other administrative units are connected over time through human mobility.
• Identify the risk of importing cases between spatial units given an epidemiological context and provide an x-ray of the changes in human mobility at different times.
Commitments / Obligations
Published report SITUATION REPORT: MOBILITY AND COVID-19 IN COLOMBIA.
| Status | Finished |
|---|---|
| Effective start/end date | 5/4/20 → 12/31/20 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Main Funding Source
- Installed Capacity (Academic Unit)
Location
- Bogotá D.C.
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