Project Details
Description
Seeking to reduce the transmission of the Sars-Cov2 virus and mitigate its effects, the world's governments began to use all the tools at their disposal, particularly non-pharmaceutical interventions (NPIs). These types of interventions, which exclude the use of any medication, have been previously studied and used to mitigate the effect of different outbreaks (Organization, 2019) and have been very useful during the COVID19 pandemic (Ferguson et al., 2020). .
With more than a year since the arrival of the first case in Colombia (MinSalud, s/f), decision makers have faced an unprecedented period of challenges at the public policy level. Through constant decisions, these leaders are forced to balance the economy, health and mental well-being of their communities through decisions that in many cases lack the necessary information to predict or even study their impact (Gombos et al., 2021 ). And although the initiation of the vaccination schedule brings its own challenges and rewards, INFs must be used to support such a schedule if herd immunity is to be achieved safely (Gozzi et al., 2021).
This gap between public policy and scientific knowledge, which forces decision makers to take action with incomplete information, is not particular to Colombia and it is extremely important to close it if effective policies are to be implemented (Gombos et al., 2021). It is within this problem where our project enters.
From an interdisciplinary team of experts in public policy, urban planners, epidemiologists, bioinformaticians and data scientists, we want to build a scheme that helps decision makers to assess the feasibility and impact of an intervention, in addition to providing the means to its monitoring and evaluation once executed. Specifically, we want to create an accompaniment scheme for INFs, conceived from the principles of urban acupuncture and supported by mobile phone geolocation data, mobility patterns in the microterritorial perimeter, contacts between devices and data at the epidemiological level, orchestrated in such a way. that the impact of such interventions can be quantitatively evaluated.
However, said scheme has a double purpose within the framework of the proposal. The first seeks to generate social value from a public policy perspective, creating a system that enables decision-making with greater statistical support, bringing decision-makers closer to available scientific knowledge. And second, the raw data needed to monitor such interventions serve as a basis for studying the dynamics of the pandemic from an academic point of view.
With more than a year since the arrival of the first case in Colombia (MinSalud, s/f), decision makers have faced an unprecedented period of challenges at the public policy level. Through constant decisions, these leaders are forced to balance the economy, health and mental well-being of their communities through decisions that in many cases lack the necessary information to predict or even study their impact (Gombos et al., 2021 ). And although the initiation of the vaccination schedule brings its own challenges and rewards, INFs must be used to support such a schedule if herd immunity is to be achieved safely (Gozzi et al., 2021).
This gap between public policy and scientific knowledge, which forces decision makers to take action with incomplete information, is not particular to Colombia and it is extremely important to close it if effective policies are to be implemented (Gombos et al., 2021). It is within this problem where our project enters.
From an interdisciplinary team of experts in public policy, urban planners, epidemiologists, bioinformaticians and data scientists, we want to build a scheme that helps decision makers to assess the feasibility and impact of an intervention, in addition to providing the means to its monitoring and evaluation once executed. Specifically, we want to create an accompaniment scheme for INFs, conceived from the principles of urban acupuncture and supported by mobile phone geolocation data, mobility patterns in the microterritorial perimeter, contacts between devices and data at the epidemiological level, orchestrated in such a way. that the impact of such interventions can be quantitatively evaluated.
However, said scheme has a double purpose within the framework of the proposal. The first seeks to generate social value from a public policy perspective, creating a system that enables decision-making with greater statistical support, bringing decision-makers closer to available scientific knowledge. And second, the raw data needed to monitor such interventions serve as a basis for studying the dynamics of the pandemic from an academic point of view.
Status | Finished |
---|---|
Effective start/end date | 10/7/21 → 10/1/22 |
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
- Competitive Funds
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