Autores
Olivares Ceja Jesús Manuel
Silva Valdez Marco Antonio Jesús
Título Comorbidity Analysis in the Mexican Population Affected by SARS-CoV2
Tipo Congreso
Sub-tipo Memoria
Descripción International Conference on Information Technology and Systems, ICITS 2023
Resumen Recently, the SARS-CoV2 pandemic has affected more than 500 million people in the world, from them; more than six million are deaths. In order to reduce contagions, many countries decreed pandemic quarantines consisting of people confinements, reducing social mobility. Such actions affected people economy by reducing employees and prices increasing; but contagions showed a reduction. This pandemic prompted the production of diverse publications from vaccines, prognosis models up to recent interest on the pandemic effects and consequences. This paper analyzes public data constantly updated by the Mexican Ministry of Health since February 2020. There are two goals, the first one is to provide general statistics of recovered people and deceases; the second is to measure the impact of comorbidities on affected people, both recovered and the unfortunate decease cases. A proposed affectation index measures the ratio among the number of contagions citizens and each state population, such measurement establish a pandemic severity value by state. It shows that although the State of Mexico has the largest population size, it is the four least affected of 32 states, while other states with smaller populations such as Baja California Sur and Tabasco have a higher index. The statistics show that 88% of people with comorbidity end with decease, while only 12% of people with no comorbidity end with decease, it suggest that people with at least one comorbidity had less chance to get recovered. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Observaciones DOI 10.1007/978-3-031-33258-6_21 Lecture Notes in Networks and Systems, v. 691
Lugar Cusco
País Peru
No. de páginas 233-243
Vol. / Cap. 691 LNNS
Inicio 2023-04-24
Fin 2023-04-26
ISBN/ISSN 9783031332579