Evidence map›Paper›PMID 34270576›Full record

ArticlePloS one2021

Is increased mortality by multiple exposures to COVID-19 an overseen factor when aiming for herd immunity?

Kristina Barbara Helle, Arlinda Sadiku, Girma Mesfin Zelleke, Toheeb Babatunde Ibrahim, Aliou Bouba, Henri Christian Tsoungui Obama, Vincent Appiah, Gideon Akumah Ngwa, Miranda Ijang Teboh-Ewungkem, Kristan Alexander Schneider

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

10 authors at 4 institutions in 4 countries.

Kristina Barbara HelleDepartment of Applied Computer- and Biosciences, University of Applied Sciences Mittweida, Mittweida, Germany.
Arlinda SadikuDepartment of Applied Computer- and Biosciences, University of Applied Sciences Mittweida, Mittweida, Germany.
Girma Mesfin ZellekeAfrican Institute for Mathematical Sciences Cameroon, Limbe, Cameroon.
Toheeb Babatunde IbrahimDepartment of Applied Computer- and Biosciences, University of Applied Sciences Mittweida, Mittweida, Germany.
Aliou BoubaDepartment of Applied Computer- and Biosciences, University of Applied Sciences Mittweida, Mittweida, Germany.
Henri Christian Tsoungui ObamaDepartment of Applied Computer- and Biosciences, University of Applied Sciences Mittweida, Mittweida, Germany.
Vincent AppiahWest African Centre for Cell Biology of Infectious Pathogens, University of Ghana, Accra, Ghana.ORCID 0000-0002-1532-0037
Gideon Akumah NgwaDepartment of Applied Computer- and Biosciences, University of Applied Sciences Mittweida, Mittweida, Germany.
Miranda Ijang Teboh-EwungkemDepartment of Mathematics, Lehigh University, Bethlehem, PA, United States of America.ORCID 0000-0002-0765-4969
Kristan Alexander SchneiderDepartment of Applied Computer- and Biosciences, University of Applied Sciences Mittweida, Mittweida, Germany.ORCID 0000-0003-4138-1180
Hochschule Mittweida · DELehigh University · USUniversity of Buea · CMUniversity of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGovernments across the globe responded with different strategies to the COVID-19 pandemic. While some countries adopted measures, which have been perceived controversial, others pursued a strategy aiming for herd immunity. The latter is even more controversial and has been called unethical by the WHO Director-General. Inevitably, without proper control measures, viral diversity increases and multiple infectious exposures become common, when the pandemic reaches its maximum. This harbors not only a potential threat overseen by simplified theoretical arguments in support of herd immunity, but also deserves attention when assessing response measures to increasing numbers of infection. METHODS AND

findingsWe extend the simulation model underlying the pandemic preparedness web interface CovidSim 1.1 (http://covidsim.eu/) to study the hypothetical effect of increased morbidity and mortality due to 'multi-infections', either acquired at by successive infective contacts during the course of one infection or by a single infective contact with a multi-infected individual. The simulations are adjusted to reflect roughly the situation in the USA. We assume a phase of general contact reduction ("lockdown") at the beginning of the epidemic and additional case-isolation measures. We study the hypothetical effects of varying enhancements in morbidity and mortality, different likelihoods of multi-infected individuals to spread multi-infections and different susceptibility to multi-infections in different disease phases. It is demonstrated that multi-infections lead to a slight reduction in the number of infections, as these are more likely to get isolated due to their higher morbidity. However, the latter substantially increases the number of deaths. Furthermore, simulations indicate that a potential second lockdown can substantially decrease the epidemic peak, the number of multi-infections and deaths.

conclusionsEnhanced morbidity and mortality due to multiple disease exposure is a potential threat in the COVID-19 pandemic that deserves more attention. Particularly it underlines another facet questioning disease management strategies aiming for herd immunity.

Indexed as

Immunity, HerdCOVID-19Disease Transmission, InfectiousHumansModels, StatisticalMortality

Identifiers

PMID34270576
PMCPMC8284653
OpenAlexW3182749514

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.