ArticleGeoHealth2021
Associations Between Environmental and Sociodemographic Data and Hepatitis-A Transmission in Pará State (Brazil).
Article in GeoHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- A Bayesian spatially-clustered coefficient model with temporal structures for hepatitis A data in South Korea.Journal of applied statistics · 2026Article
- The Shifting Epidemiology of Hepatitis A in the World Health Organization Western Pacific Region.Vaccines · 2024Review
- Deep learning models for hepatitis E incidence prediction leveraging meteorological factors.PloS one · 2023Article
- Investigating the spatio-temporal variation of hepatitis A in Korea using a Bayesian model.Frontiers in public health · 2022Article
- Associations Between Environmental and Sociodemographic Data and Hepatitis-A Transmission in Pará State (Brazil).GeoHealth · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatitis-A is a waterborne infectious disease transmitted by the eponymous hepatitis-A virus (HAV). Due to the disease's sociodemographic and environmental characteristics, this study applied public census and remote sensing data to assess risk factors for hepatitis-A transmission. Municipality-level data were obtained for the state of Pará, Brazil. Generalized linear and nonlinear models were evaluated as alternative predictors for hepatitis-A transmission in Pará. The Histogram Gradient Boost (HGB) regression model was deemed the best choice (
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.