ArticleNpj viruses2023
Singapore COVID-19 data cross-validation by the Gaidai reliability method.
Article in Npj viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- HIV deathrate prediction by Gaidai multivariate risks assessment method.Immunity, inflammation and disease · 2024Article
- Future worldwide coronavirus disease 2019 epidemic predictions by Gaidai multivariate risk evaluation method.Analytical science advances · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Novel coronavirus infection (COVID-19) has exserted certain burden on global public health, spreading around the world with reportedly low mortality and morbidity. This study advocates novel bio and health system reliability approach, especially suitable for multi-regional environmental and health systems. Advocated spatiotemporal method has been cross-validated, versus well established bivariate Weibull method, based on available raw clinical dataset. The purpose of this study was to assess risks of excessive coronavirus death rates, that may occur within any given time horizon, and in any region or district of interest. This study aims at benchmarking of the novel Gaidai bio-reliability method, allowing accurate assessment of national public health system risks, for the years to come. Novel bio-system reliability approach is particularly suitable for multi-regional environmental and health systems, monitored for a sufficiently representative period of time. In case when underlying bio-system is stationary, or the underlying trend is known, long-term future death rate risk assessment can be done, and confidence intervals can be generated. Advocated methodology may to be useful for a wide variety of public health applications, thus, it is not limited to the example, considered here.
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.