G-CoV.2: A computational system for geolocation of patients diagnosed with COVID-19

Abstract

Coronavirus disease 2019 (COVID-19) is a respiratory infection caused by the Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2). In the current scenario of COVID-19, more than 6 million people have died worldwide, and near seven hundred thousand only in Brazil alone. The objective this work is designer a database using MySQL to develop a system for geolocating COVID-19 affected individuals and their close contacts. Patient addresses registered in the laboratory database were used to search for coordinate (latitude and longitude) using the OpenStreetMap Application Programming Interface. The user interface was developed in PHP using HTML, JavaScript, CSS, and AJAX. A dashboard displaying the geolocation information of selected patients was presented on the screen for public health agents. A system called G-CoV.2 was developed. The makers produced by G-CoV.2 had 100% accuracy when manually compared with the same patient address records. G-CoV.2 can be used as a computational system to aid health managers in identifying regions with the most people infected by COVID-19 or other pathological processes. The submitted work can meet the third goal of sustainable development of the United Nations for Latin America, ensuring a healthy life and thus promoting well-being for all people, at all ages. One of the ways is through the monitoring of COVID-19 and other pathologies as a preventive measure, applying the system developed G-CoV.2 that was the subject of the writing of the article, which may reduce the mortality rate at all ages, with the premise of ending epidemics of serious and communicable diseases, directing health managers to increase investment in health in critical areas, as well as creating actions in favor of prevention and promotion of the population's health.