Evidence map›Paper›PMID 39135930›Full record

ArticleFrontiers in public health2024

Global trends in COVID-19 incidence and case fatality rates (2019-2023): a retrospective analysis.

Juan Du, Hong-Mei Lang, Yan Ma, Ao-Wen Chen, Yong-Yi Qin, Xing-Ping Zhang, Chang-Quan Huang

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. 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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Observational
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  9. The impact of COVID-19 pandemic on the etiological spectrum of respiratory infections in children.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
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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

7 authors.

Juan DuDepartment of General Medicine, Chengdu Second People's Hospital, Chengdu, China.
Hong-Mei LangDepartment of General Medicine, Chengdu Second People's Hospital, Chengdu, China.
Yan MaDepartment of General Medicine, Chengdu Second People's Hospital, Chengdu, China.
Ao-Wen ChenDepartment of General Medicine, Chengdu Second People's Hospital, Chengdu, China.
Yong-Yi QinDepartment of General Medicine, Chengdu Second People's Hospital, Chengdu, China.
Xing-Ping ZhangDepartment of General Medicine, Chengdu Second People's Hospital, Chengdu, China.
Chang-Quan HuangDepartment of Geriatrics, Chengdu Second People's Hospital, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Analyzing and comparing COVID-19 infection and case-fatality rates across different regions can help improve our response to future pandemics. Methods: We used public data from the WHO to calculate and compare the COVID-19 infection and case-fatality rates in different continents and income levels from 2019 to 2023. Results: The Global prevalence of COVID-19 increased from 0.011 to 0.098, while case fatality rates declined from 0.024 to 0.009. Europe reported the highest cumulative infection rate (0.326), with Africa showing the lowest (0.011). Conversely, Africa experienced the highest cumulative case fatality rates (0.020), with Oceania the lowest (0.002). Infection rates in Asia showed a steady increase in contrast to other continents which observed initial rises followed by decreases. A correlation between economic status and infection rates was identified; high-income countries had the highest cumulative infection rate (0.353) and lowest case fatality rate (0.006). Low-income countries showed low cumulative infection rates (0.006) but the highest case fatality rate (0.016). Initially, high and upper-middle-income countries experienced elevated initial infection and case fatality rates, which subsequently underwent significant reductions. Conclusions: COVID-19 rates varied significantly by continent and income level. Europe and the Americas faced surges in infections and low case fatality rates. In contrast, Africa experienced low infection rates and higher case fatality rates, with lower- and middle-income nations exceeding case fatality rates in high-income countries over time.

Indexed as

COVID-19Global HealthHumansIncidencePandemicsPrevalenceRetrospective StudiesSARS-CoV-2case-fatality ratescontinentsCOVID-19income levelsinfection rates

Identifiers

PMID39135930
PMCPMC11317462

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.