ArticleInfectious Disease Modelling2020
A multivariate analysis on spatiotemporal evolution of Covid-19 in Brazil.
Article in Infectious Disease Modelling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Psychological distress among Brazilian workers during the initial stage of the COVID-19 pandemic: a descriptive study.Frontiers in public health · 2024Article
- Unsupervised analysis of COVID-19 pandemic evolution in brazilian states: Vaccination Scenario.Procedia computer science · 2023Article
- Covid-19 Outbreak in Brazil: Health, Social, Political, and Economic Implications.International journal of health services : planning, administration, evaluation · 2022Review
- Using hierarchical clustering analysis to evaluate COVID-19 pandemic preparedness and performance in 180 countries in 2020.BMJ open · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This data-driven work aims to analyze and classify the spatiotemporal distribution of all Brazilian states considering data so diverse as the number of Covid-19 cases, deaths, confirmed cases per 100 k inhabitants, mortality per 100 k inhabitants and case fatality rates as health indicators. We also considered population, area and population density as geographic indicators. Finally, GDP and HDI were taken into account as economic and social criteria. For this task data were collected from April 3rd until August 8th, 2020, corresponding to epidemiological weeks 14-32, reaching three million cases and a hundred thousand deaths. With this data it was possible to classify Brazilian states using multivariate methods into possible groups by means of non-hierarchical (
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Registered trials
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