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Modelos de análise e visualização de dados de COVID-19 em Moçambique
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Abstract(s)
Na China, país originário da doença, até dia 23 de Fevereiro de 2020 foram notificados mais de 77.000 casos de infeção pela doença, e da análise feita 60% dos casos confirmados foram reportados na cidade de Wuhan. Moçambique declarou estado de emergência e diferentes medidas de prevenção estão sendo implementadas para controlar e dar resposta atempada à pandemia, incluindo o diagnóstico precoce de casos da doença. O presente trabalho tem como tema “Modelos de Análise e visualização de dados de COVID-19 em Moçambique” com objetivo central de descrever os modelos de análise e visualização de dados de COVID-19 em Moçambique. O tema enquadra-se na área de Estatística com propósito de trazer evidências que expliquem o atual estágio (desde a notificação do primeiro caso de COVID-19 em Moçambique (22 de Março de 2020) até o dia 31 de Maio de 2022) do país no concernente a evolução de casos de COVID-19, com enfoque para as províncias de Maputo, Nampula, Cabo Delgado e Niassa. O trabalho utilizará tipo de dados qualitativos e quantitativos para permitir a tomada de decisões na área de saúde sobre as medidas de prevenção da pandemia e a tendência dos casos e óbitos pela doença.
In China, the country of origin of the disease, until February 23, 2020, more than 77,000 cases of infection with the disease were reported, and from the analysis carried out, 60% of confirmed cases were reported in the city of Wuhan. Mozambique has declared a state of emergency and different prevention measures are being implemented to control and respond in a timely manner to the pandemic, including the early diagnosis of cases of the disease. The present work has as its theme "Models of Analysis and Visualization of COVID-19 Data in Mozambique" with the central objective of describing the models of analysis and visualization of COVID-19 data in Mozambique. The topic falls within the area of Statistics with the purpose of providing evidence that explains the current stage (from the notification of the first case of COVID-19 in Mozambique (March 22, 2020) until May 31, 2022) of the country regarding the evolution of COVID-19 cases, with a focus on the provinces of Maputo, Nampula, Cabo Delgado and Niassa. The work will use qualitative and quantitative data to allow decision-making in the health area on measures to prevent the pandemic and the trend of cases and deaths from the disease.
In China, the country of origin of the disease, until February 23, 2020, more than 77,000 cases of infection with the disease were reported, and from the analysis carried out, 60% of confirmed cases were reported in the city of Wuhan. Mozambique has declared a state of emergency and different prevention measures are being implemented to control and respond in a timely manner to the pandemic, including the early diagnosis of cases of the disease. The present work has as its theme "Models of Analysis and Visualization of COVID-19 Data in Mozambique" with the central objective of describing the models of analysis and visualization of COVID-19 data in Mozambique. The topic falls within the area of Statistics with the purpose of providing evidence that explains the current stage (from the notification of the first case of COVID-19 in Mozambique (March 22, 2020) until May 31, 2022) of the country regarding the evolution of COVID-19 cases, with a focus on the provinces of Maputo, Nampula, Cabo Delgado and Niassa. The work will use qualitative and quantitative data to allow decision-making in the health area on measures to prevent the pandemic and the trend of cases and deaths from the disease.
Description
Tese de Mestrado em Biostatística a Biometria, apresentada à Universidade Aberta
Keywords
Modelos de análise Visualização de dados COVID-19 Moçambique Analysis models Data visualization
Pedagogical Context
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CC License
Without CC licence