Evidence map›Paper›PMID 38681653›Full record

ArticleHeliyon2024

Measuring disease burden of dominant variants of COVID-19 in Taiwan.

Hsin-Chieh Tsai, Ying-Fei Yang, Cheng-Chieh Hsieh, Si-Yu Chen, Szu-Chieh Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hsin-Chieh TsaiDepartment of Public Health, Chung Shan Medical University, Taichung, 40201, Taiwan.
Ying-Fei YangDepartment of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan.
Cheng-Chieh HsiehDepartment of Public Health, Chung Shan Medical University, Taichung, 40201, Taiwan.
Si-Yu ChenDepartment of Public Health, Chung Shan Medical University, Taichung, 40201, Taiwan.
Szu-Chieh ChenDepartment of Public Health, Chung Shan Medical University, Taichung, 40201, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The disability-adjusted life years (DALYs) of COVID-19 have been applied as a time-based measurement to estimate years of life lost due to premature mortality or healthy life lost in different countries. Limited information was found for DALYs among different variants of concern (VOC). Methods: Disease severities based on categories of asymptomatic, mild, moderate, severe, and critical cases were explored among different VOC by analyzing the proportions in confirmed cases. DALY or years of healthy life lost due to disability (YLD)-based annual burdens of COVID-19 on different ages, genders as well as trend analysis were also evaluated for VOC in Taiwan. Results: Different trends were observed in years of life lost due to premature mortality (YLLs) or YLD for various age or gender categories. Disease severity at critical stage had the highest percentage for overall YLDs encompassed from 2020 to 2022. Also, critical-grade cases were found to be predominantly caused by Wild-type, Alpha, and Omicron variants in 2020, 2021, and 2022, respectively. Conclusion: Precautionary measures are also suggested for policy makers to take in specific seasons, age or gender groups based on YLL and YLD analyses.

Indexed as

Decision-makingDisability-adjusted life years (DALYs)Disease severityDominant variantVariant of concern (VOC)

Identifiers

PMID38681653
PMCPMC11053272

What OpenQuestion holds

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Registered trials

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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.