Análise espaço-temporal da infecção por SARS-CoV-2 em crianças e adolescentes, Mato Grosso, Brasil, 2020-2022

• Ano de defesa: 2022
• Autor(a) principal: Rocha, Camila Beatriz Alves da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Mato Grosso; Brasil; Faculdade de Enfermagem (FAEN); UFMT CUC - Cuiabá; Programa de Pós-Graduação em Enfermagem
• Palavras-chave em Português: Covid-19; Saúde infantil; Adolescente; Análise espaço-temporal; CNPQ::CIENCIAS DA SAUDE::ENFERMAGEM; Child health; Adolescent; Space-time analysis
• Link de acesso: http://ri.ufmt.br/handle/1/6076

ABSTRACT: Introduction: Infection with a new coronavirus (2019-nCoV) appeared in China at the end of 2019, and quickly spread to other countries. The disease was declared a pandemic on March 11, 2020. The implications of covid-19 have been widely expressed, affecting various age groups, even children and adolescents, with relevant direct and indirect impacts for this population. Objective: To analyze the incidence of SARS-CoV-2 infection in children and adolescents in the state of Mato Grosso, Brazil. Methodology: Quantitative approach, ecological design, with temporal and spatial analysis of covid-19 cases in children and adolescents in that state. The study analyzed cases diagnosed and notified by covid-19 in children and adolescents (up to 19 years old), in this region, from March 2020 to April 2022. Notifications registered in the INDICASUS Information System, provided by Epidemiological Surveillance of the State Department of Health of Mato Grosso. The study was structured in two manuscripts with the following methods: 1- The monthly morbidity rates of covid-19 per 100,000 inhabitants were calculated and the trend analysis was performed using Prais-Winsten regression. 2- For the spatial distribution, the incidence rates were measured by the Local Empirical Bayesian method in the GeoDA program. Statistical analysis of space-time scanning was also carried out. The Poisson discrete probability distribution was considered and the statistical significance was evaluated by Monte Carlo simulation, in calculations extracted from the SatScan program. The maps were generated in the ArcGis program. Results: The first manuscript showed a monthly average rate of 265.87 cases per 100,000 inhabitants, with a higher morbidity rate in females and in the 15-19 age group. In both sexes there was a stationary trend in cases. The clinical situation with the highest proportion of morbidity occurred in symptomatic children and adolescents. In the second study, covid-19 showed rapid diffusion among the age group studied. The highest risk areas were concentrated in the central portion of the state, with a risk 5 times greater than in other areas under study. The space-time dynamics of the disease showed an initial distribution in the central portion of the state and subsequent spread to other municipalities, after an increase in incidence rates. Conclusion: Covid-19 in children and adolescents in Mato Grosso showed a stationary trend in monthly cases and areas at higher risk of the disease in the central portion of the state.