Evidence map›Paper›PMID 38315717›Full record

ArticlePloS one2024

Covid-19 demography in France and South Africa: A comparative study of morbidity and mortality in 2020-2022.

Michel Garenne, Nancy Stiegler

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Michel GarenneDepartment of Statistics and Population Studies, University of the Western Cape, South Africa.ORCID 0000-0001-6073-7803
Nancy StieglerDepartment of Statistics and Population Studies, University of the Western Cape, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCovid-19 epidemics raged around the world in years 2020-2022. The dynamics of the epidemics and their mortality varied by country depending on prevention, treatments, vaccination and health status of the population.

objectiveThe study compares Covid-19 morbidity and mortality in South-Africa and in France, two countries with similar population size and with reliable reporting systems, in order to better understand the dynamics and impacts of the epidemics and the effects of health policies and programs. DATA AND

methodsData on cases, deaths, hospitalizations, vaccinations were drawn from national statistics. Published data on cases and deaths were corrected for undercount.

resultsResults show a different epidemiology in the two countries in the first three years of the epidemic (2020-2022). Incidence was higher in South Africa, and some 44% more people were infected by December 2022 than in France. Mortality and case-fatality were also higher in South Africa despite a favourable age structure. The age pattern of mortality showed higher values in South Africa among the young adults. Young women appeared somewhat disadvantaged in South Africa. Lastly, vaccination appeared to have had no effect on incidence, but a large effect on case-fatality in France.

conclusionsDespite about the same population size and the same crude death rate at baseline, South Africa exhibited more cases and more deaths from Covid-19 over the 2020-2022 period. Prevention strategies (lockdown and vaccination) appear to have had large impacts on morbidity and mortality.

Indexed as

COVID-19Communicable Disease ControlFemaleFranceHumansMorbidityMortalitySouth AfricaYoung Adult

Identifiers

PMID38315717
PMCPMC10843123

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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.