ArticleEpidemiology and infection2020
Risk clusters of COVID-19 transmission in northeastern Brazil: prospective space-time modelling.
Article in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Spatio-Temporal COVID-19 Modeling: A Global Systematic Review of Data Integration, Equity, and Lessons for Pandemic Preparedness.International journal of environmental research and public health · 2026Pooled it
- Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Bayesian Spatio-Temporal Modeling of the Dynamics of COVID-19 Deaths in Peru.Entropy (Basel, Switzerland) · 2024Article
- Mapping the pandemic: a review of Geographical Information Systems-based spatial modeling of Covid-19.Journal of public health in Africa · 2023Article
- Spatio-temporal evolution of COVID-19 in the Republic of Ireland and the Greater Dublin Area (March to November 2020): A space-time cluster frequency approach.Spatial and spatio-temporal epidemiology · 2023Article
- Spatiotemporal clusters and the socioeconomic determinants of COVID-19 in Toronto neighbourhoods, Canada.Spatial and spatio-temporal epidemiology · 2022Article
- Covid-19 Outbreak in Brazil: Health, Social, Political, and Economic Implications.International journal of health services : planning, administration, evaluation · 2022Review
- Impact of the COVID-19 pandemic on the diagnosis of leprosy in Brazil: An ecological and population-based study.Lancet regional health. Americas · 2022Article
- Prospective spatial-temporal clusters of COVID-19 in local communities: case study of Kansas City, Missouri, United States.Epidemiology and infection · 2022Article
- Deaths due to COVID-19 in a state of northeastern Brazil: spatiotemporal distribution, sociodemographic and clinical and operational characteristics.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2022Article
- Temporal and Spatial Cluster Analysis of 2019 Novel Coronavirus Pneumonia in Chongqing, 2020.1∼2020.2.Computational intelligence and neuroscience · 2022Article
- Article
- Spatiotemporal Pattern of COVID-19-Related Mortality during the First Year of the Pandemic in Brazil: A Population-based Study in a Region of High Social Vulnerability.The American journal of tropical medicine and hygiene · 2021Article
- A review of GIS methodologies to analyze the dynamics of COVID-19 in the second half of 2020.Transactions in GIS : TG · 2021Review
- The Use of GIS Technology to Optimize COVID-19 Vaccine Distribution: A Case Study of the City of Warsaw, Poland.International journal of environmental research and public health · 2021Article
- On-site Dining in Tokyo During the COVID-19 Pandemic: Time Series Analysis Using Mobile Phone Location Data.JMIR mHealth and uHealth · 2021Article
- Geospatial Analysis of COVID-19: A Scoping Review.International journal of environmental research and public health · 2021Article
- Risk factors for critical illness and death among adult Brazilians with COVID-19.Revista da Sociedade Brasileira de Medicina Tropical · 2021Article
- Detecting space-time clusters of COVID-19 in Brazil: mortality, inequality, socioeconomic vulnerability, and the relative risk of the disease in Brazilian municipalities.Journal of geographical systems · 2021Article
- The values and limitations of mathematical modelling to COVID-19 in the world: a follow up report.Emerging microbes & infections · 2020Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to analyse the trend and spatial-temporal clusters of risk of transmission of COVID-19 in northeastern Brazil. We conducted an ecological study using spatial and temporal trend analysis. All confirmed cases of COVID-19 in the Northeast region of Brazil were included, from 7 March to 22 May 2020. We used the segmented log-linear regression model to assess time trends, and the local empirical Bayesian estimator, the global and local Moran indexes for spatial analysis. The prospective space-time scan statistic was performed using the Poisson probability distribution model. There were 113 951 confirmed cases of COVID-19. The average incidence rate was 199.73 cases/100 000 inhabitants. We observed an increasing trend in the incidence rate in all states. Spatial autocorrelation was reported in metropolitan areas, and 178 municipalities were considered a priority, especially in the states of Ceará and Maranhão. We identified 11 spatiotemporal clusters of COVID-19 cases; the primary cluster included 70 municipalities from Ceará state. COVID-19 epidemic is increasing rapidly throughout the Northeast region of Brazil, with dispersion towards countryside. It was identified high risk clusters for COVID-19, especially in the coastal side.
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