This website and its contents are provided to the public strictly for the purposes of academic and educational research.
Created and continuously updated in collaboration of specialized research teams in the following partners:
University of Edinburgh,
Tecnologico de Monterrey,
Cinvestav de Monterrey,
Universidad UTE and
Private company Logykopt.
In Mexico, n-SARS-CoV-2 test kits are scarce. Most of the tests are distributed in large cities. Thus, many low-income populations may not have a nearby hospital with n-SARS-CoV-2 test kits.
Our goal is to make visible which municipalities face a higher risk by not being covered by COVID-19 hospitals and resources,[1] and that also are unprotected by their intrinsic socio-economic condition. We hope this tool can help to provide people in economically deprived regions in Mexico, with more and better-allocated opportunities to access protection against COVID-19.
In this COVID-19 app, we show the result of an optimization analysis of the strategic allocation of tests, which are a limited and scarce resource, to attend the COVID-19 in Mexico. The objective of this allocation is to cover the low-income population which has more confirmed COVID-19 cases. These results show how to cover in an optimal way the lowest-income population in Mexico. (The further analysis of more low-income countries might be in development).
The simulated scenario considers that there are already some COVID-19 hospitals in certain municipalities but given the scarcity of resources (e.g. n-SARS-CoV-2 test kits), only some of these hospitals will receive test kits. To compute the optimal allocation of -SARS-CoV-2 test kits to hospitals, we consider the population of the entity and that at least 5000 test kits are distributed per hospital (The real data of how the n-SARS-CoV-2 test kits are being actually distributed is not public so our results are not exact for the moment, but it suffices to input real data to obtain useful results. If you have better data, please contact us at covid19support@logykopt.com.
The optimization model computed, considers the total number of probable COVID-19 cases, the percentage of people living under poverty conditions (Encuesta Nacional de Ingresos y Gastos de las Familias 2018), and the location of COVID-19 hospitals at each municipality.
In this optimization simulation, we are only considering hospitals being part of the Mexican Social Security Systems (IMSS), omitting bureaucratic hospitals (ISSSTE), military, and private hospitals. Our hospital database is being updated every day to consider more hospitals (if you have hospitals' data, with latitude and longitude information, please contact us at contact us at: covid19support@logykopt.com.
This optimization considers that a hospital covers a municipality if itis less than 25 km away from the municipality seat. We consider that a municipality that is not covered may have access to a hospital if it is less than 50 km from its municipality seat. For the moment, we do not consider that people can travel to other states nearby (ongoing work).
The website is based on facility location optimization models that are well studied in the operations research community. In particular, we have adapted the methodology of:
Ibarra-Rojas, O. J., Ozuna, L., & López-Piñón, D. (2020). The maximal covering location problem with accessibility indicators. Socio-Economic Planning Sciences, 71, 100758.
Sources of Information: We use data from the:
Mexican Secretary of Health,
INEGI and
Coneval.
* This website and its contents are provided to the public strictly for the purposes of academic and educational research. The website is based on publicly available data from multiple sources, which do not always agree. The names of the locations correspond to the official designations used by INEGI. All the partners hereby disclaim any and all representations and warranties regarding the website, including accuracy, suitability for use, and merchantability. Relying on the website for medical guidance or use of the website in commerce is strictly prohibited.
Contact: covid19support@logykopt.com