Epidemiologic Evolution Platform Using Integrated Modeling and Geographic Information System

Integrated Extended SIR-type Epidemiological Modeling Platform for Covid-19

“…Internationally, an effort is made "to optimize the flow of data and information for the management of health systems, as studies show that medical and economic efficiency is strongly influenced by the level of development and complexity of implementing an integrated monitoring and modeling system epidemiological" [1] - [18].…”

“…At the same time, In this paper an epidemiological platform is presented, replicable and adaptable for managing an epidemic, based on open-source software and computer applications. The platform allows "adaptation, customization and further development of IT applications according to the open-source principle, depending on the specifics of the public institution, the changes in the economic and social environment and the legal framework for its operation" [1]. The system is scalable, both vertically and horizontally and ensures functional decoupling of modules (while maintaining interoperability), extensibility and reuse of the facilities, and data security.…”

“…The epidemiological modeling platform (PLIS) developing include "an automated management of compliance with distancing/social isolation restrictions in quarantine areas, by geolocating and generating alerts for authorities in case of high concentrations or population dynamics, with highlighting risk areas and dynamic display on GIS maps (geolocation, dynamics, evolution potential, etc.)" [1]. The epidemiological model is based on the differential mathematical model extended SIR-type and the specific objectives were described in detail in reference [1].…”

“…[1]. The epidemiological model is based on the differential mathematical model extended SIR-type and the specific objectives were described in detail in reference [1]. The differential mathematical model of the extended SIR-type model is developed using Python programming language and involves the division of the population into three groups: number of infected people (I), number of people recovered (R), the number of people likely to be infected / susceptible (S).…”

“…The differential mathematical model of the extended SIR-type model is developed using Python programming language and involves the division of the population into three groups: number of infected people (I), number of people recovered (R), the number of people likely to be infected / susceptible (S). [1].…”