Evidence map›Paper›PMID 35356649›Full record

ArticleJournal of global health2022

Health disparity and mortality trends of infectious diseases in BRICS from 1990 to 2019.

Qiao Liu, Wenzhan Jing, Min Liu, Jue Liu

Abstract read
In one paragraph

Article in Journal of global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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3 · Its place in the literature

Who cites it

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

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  18. SARS-CoV-2 decreases malaria severity in co-infected rodent models.Frontiers in cellular and infection microbiology · 2023
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  20. Monkeypox and Global Health Inequities: A Tale as Old as Time….International journal of environmental research and public health · 2022
    Article
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

4 authors.

Qiao LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Wenzhan JingDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Min LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Brazil, Russia, India, China, and South Africa (BRICS) represented almost half of the global population and much infectious disease burden. We aimed to analyze the current status and trends from 1990 to 2019 of infectious disease mortality in BRICS. Methods: We used the data of mortality estimation from the Global Burden of Disease Study 2019. The absolute number of deaths from and mortality rates of infectious diseases in each country were derived from the database from 1990 to 2019. Age-standardized mortality rate (ASMR) was used to compare populations in different regions and times. The estimated annual percentage change (EAPC) of rates quantified the infectious disease mortality trends. Results: BRICS respectively accounted for 39% and 32% of the global infectious disease deaths, in 1990 and 2019. Lower respiratory infections, tuberculosis, and diarrheal diseases contributed the most to the number of deaths in 1990 and 2019. In BRICS, ASMRs of all infectious diseases except sexually transmitted infections (STIs) decreased. The highest STI ASMRs were in South Africa; the highest ASMRs of enteric infections, neglected tropical diseases and malaria, and other infectious diseases were in India; South Africa and India both had relatively high respiratory infection ASMRs. Conclusion: Infectious disease mortality varies substantially in BRICS, and health disparity needs to be considered when facing complex infectious disease situations in different countries.

Indexed as

Communicable DiseasesRespiratory Tract InfectionsTuberculosisHumansIndiaNeglected Diseases

Identifiers

PMID35356649
PMCPMC8943566

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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.