COVID-19 in Londrina-pr: SEIR model with parameter optimization. (Special Covid issue.)
Semina: Ciencias Exatas e Tecnologicas
; 42(1 Suppl):45-54, 2021.
Article
in English, Portuguese
| CAB Abstracts | ID: covidwho-2255247
ABSTRACT
The first cases of COVID-19 in Londrina-PR were manifested in March 2020 and the disease lasts until the present moment. We aim to inform citizens in a scientific way about how the disease spreads. The present work seeks to describe the behavior of the disease over time. We started from a compartmental model of ordinary differential equations like SEIR to find relevant information such as transmission rates and prediction of the peak of infected people. We used the data released by city hall of Londrina to carry out simulations in periods of 14 days, applying a parameter optimization technique to obtain results with thegreatest possible credibility.
Prion; Viral; Bacterial and Fungal Pathogens of Humans [VV210], Mathematics and Statistics [ZZ100], computer simulation, coronavirus disease 2019, disease transmission, equations, human diseases, infectious diseases, mathematical models, optimization, pandemics, viral diseases, man, Severe acute respiratory syndrome coronavirus 2, Brazil, Parana, Community of Portuguese Language Countries, high Human Development Index countries, Latin America, America, South America, upper-middle income countries, Homo, Hominidae, primates, mammals, vertebrates, Chordata, animals, eukaryotes, Severe acute respiratory syndrome-related coronavirus, Betacoronavirus, Coronavirinae, Coronaviridae, Nidovirales, positive-sense ssRNA Viruses, ssRNA Viruses, RNA Viruses, viruses, communicable diseases, SARS-CoV-2, viral infections
Full text:
Available
Collection:
Databases of international organizations
Database:
CAB Abstracts
Language:
English
/
Portuguese
Journal:
Semina: Ciencias Exatas e Tecnologicas
Year:
2021
Document Type:
Article
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