Evidence map›Paper›PMID 33627363›Full record

ReviewBMJ global health2021

One hundred thirty-three observed COVID-19 deaths in 10 months: unpacking lower than predicted mortality in Rwanda.

Clarisse Musanabaganwa, Vincent Cubaka, Etienne Mpabuka, Muhammed Semakula, Ernest Nahayo, Bethany L Hedt-Gauthier, Kamela C S Ng, Megan B Murray, Fredrick Kateera, Leon Mutesa and 1 more

Abstract readReview
In one paragraph

Review in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  4. Review
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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

11 authors.

Clarisse MusanabaganwaMedical Research Center, Rwanda Biomedical Center, Kigali, Rwanda clarisse.musanabaganwa@gmail.com lmutesa@gmail.com.ORCID 0000-0002-9006-8310
Vincent CubakaDepartment of Research and Training, Partners in Health Rwanda, Kigali, Rwanda.
Etienne MpabukaMedical Research Center, Rwanda Biomedical Center, Kigali, Rwanda.
Muhammed SemakulaMedical Research Center, Rwanda Biomedical Center, Kigali, Rwanda.
Ernest NahayoRwanda Military Hospital, Kigali, Kigali City, Rwanda.
Bethany L Hedt-GauthierDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Kamela C S NgDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Megan B MurrayDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Fredrick KateeraDepartment of Research and Training, Partners in Health Rwanda, Kigali, Rwanda.
Leon MutesaCenter of Human Genetics, University of Rwanda College of Medicine and Health Sciences, Kigali, Rwanda clarisse.musanabaganwa@gmail.com lmutesa@gmail.com.ORCID 0000-0002-5308-3706
Sabin NsanzimanaMedical Research Center, Rwanda Biomedical Center, Kigali, Rwanda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The African region was predicted to have worse COVID-19 infection and death rates due to challenging health systems and social determinants of health. However, in the 10 months after its first case, Rwanda recorded 10316 cases and 133 COVID-19-related deaths translating to a case fatality rate (CFR) of 1.3%, which raised the question: why does Rwanda have a low COVID-19 CFR? Here we analysed COVID-19 data and explored possible explanations to better understand the disease burden in the context of Rwanda's infection control strategies.We investigated whether the age distribution plays a role in the observed low CFR in Rwanda by comparing the expected number of deaths for 10-year age bands based on the CFR reported in other countries with the observed number of deaths for each age group. We found that the age-specific CFRs in Rwanda are similar to or, in some older age groups, slightly higher than those in other countries, suggesting that the lower population level CFR reflects the younger age structure in Rwanda, rather than a lower risk of death conditional on age. We also accounted for Rwanda's comprehensive SARS-CoV-2 testing strategies and reliable documentation of COVID-19-related deaths and deduced that these measures may have allowed them to likely identify more asymptomatic or mild cases than other countries and reduced their reported CFR.Overall, the observed low COVID-19 deaths in Rwanda is likely influenced by the combination of effective infection control strategies, reliable identification of cases and reporting of deaths, and the population's young age structure.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionChildChild, PreschoolCommunicable Disease ControlCOVID-19COVID-19 TestingFemaleHumansInfantMaleMiddle AgedMortalityCOVID-19epidemiologypublic health

Identifiers

PMID33627363
PMCPMC7907833

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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.