ArticleFrontiers in public health2020
Global and Temporal COVID-19 Risk Evaluation.
Article in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Risk Assessment Tools from the One Health Perspective: A Narrative Review.Risk management and healthcare policy · 2024Review
- Development of a composite regional vulnerability index and its relationship with the impacts of the COVID-19 pandemic.Computational urban science · 2023Article
- Community vulnerability to the COVID-19 pandemic: A narrative synthesis from an ecological perspective.Journal of global health · 2022Article
- Exploratory Literature Review of the Role of National Public Health Institutes in COVID-19 Response.Emerging infectious diseases · 2022Review
- Link between structural risk factors for adverse impacts of COVID-19 and food insecurity in developed and developing countries.Environment, development and sustainability · 2022Article
- Global mapping of epidemic risk assessment toolkits: A scoping review for COVID-19 and future epidemics preparedness implications.PloS one · 2022Article
- Technology, Privacy, and User Opinions of COVID-19 Mobile Apps for Contact Tracing: Systematic Search and Content Analysis.Journal of medical Internet research · 2021Article
- Regional vulnerability for COVID-19 in Cameroon.The Pan African medical journal · 2020Article
- COVID-19 Research: Challenges to Interpret Numbers and Propose Solutions.Frontiers in public healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has caused unprecedented crisis across the world, with many countries struggling with the pandemic. In order to understand how each country is impacted by the virus and assess the risk on a global scale we present a regression based analysis using two pre-existing indexes, namely the Inform and Infectious Disease Vulnerability Index, in conjunction with the number of elderly living in the population. Further we introduce a temporal layer in our modeling by incorporating the stringency level employed by each country over a period of 6 time intervals. Our results show that the indexes and level of stringency are not ideally suited for explaining variation in COVID-19 risk, however the ratio of elderly in the population is a stand out indicator in terms of its predictive power for mortality risk. In conclusion, we discuss how such modeling approaches can assist public health policy.
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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.