ArticleInternational journal of environmental research and public health2020
Coronavirus Disease 2019 (COVID-19): A Modeling Study of Factors Driving Variation in Case Fatality Rate by Country.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The impact of geo-environmental factors on global COVID-19 transmission: A review of evidence and methodology.The Science of the total environment · 2022Pooled it
- Country-based modelling of COVID-19 case fatality rate: A multiple regression analysis.World journal of virology · 2024Article
- Risk of severe COVID-19 in unvaccinated patients during the period from wild-type to Omicron variant: real-world evidence from Japan.Environmental health and preventive medicine · 2024Article
- Study of optimal vaccination strategies for early COVID-19 pandemic using an age-structured mathematical model: A case study of the USA.Mathematical biosciences and engineering : MBE · 2023Article
- Association between vaccination status and severe health consequences among community-dwelling COVID-19 patients during Omicron BA.1/BA.2 and BA.5-predominant periods in Japan.Environmental health and preventive medicine · 2023Article
- A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity.Frontiers in big data · 2023Article
- Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction.Expert systems with applications · 2022Article
- Data Science in Healthcare: COVID-19 and Beyond.International journal of environmental research and public health · 2022Article
- One year of COVID-19 in Italy: are containment policies enough to shape the pandemic pattern?Socio-economic planning sciences · 2022Article
- A global country-level analysis of the relationship between obesity and COVID-19 cases and mortality.Diabetes, obesity & metabolism · 2021Article
- COVID-19 severity determinants inferred through ecological and epidemiological modeling.One health (Amsterdam, Netherlands) · 2021Article
- Imaging of COVID-19: CT, MRI, and PET.Seminars in nuclear medicine · 2021Review
- Cross-National Variations in COVID-19 Mortality: The Role of Diet, Obesity and Depression.Diseases (Basel, Switzerland) · 2021Article
- Higher albumin levels on admission predict better prognosis in patients with confirmed COVID-19.PloS one · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
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.