Evidence map›Paper›PMID 34675230›Full record

ArticleScientific reports2021

Exploring the potential effect of COVID-19 on an endangered great ape.

Fernando Colchero, Winnie Eckardt, Tara Stoinski

RetractedAbstract readRetracted Publication
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Fernando ColcheroDepartment of Mathematics and Computer Science, University of Southern Denmark, Campusvej 55, 5230, Odense, Denmark. colchero@imada.sdu.dk.
Winnie EckardtThe Dian Fossey Gorilla Fund, 800 Cherokee Ave SE, Atlanta, GA, 30315, USA.
Tara StoinskiThe Dian Fossey Gorilla Fund, 800 Cherokee Ave SE, Atlanta, GA, 30315, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current COVID-19 pandemic has created unmeasurable damages to society at a global level, from the irreplaceable loss of life, to the massive economic losses. In addition, the disease threatens further biodiversity loss. Due to their shared physiology with humans, primates, and particularly great apes, are susceptible to the disease. However, it is still uncertain how their populations would respond in case of infection. Here, we combine stochastic population and epidemiological models to simulate the range of potential effects of COVID-19 on the probability of extinction of mountain gorillas. We find that extinction is sharply driven by increases in the basic reproductive number and that the probability of extinction is greatly exacerbated if the immunity lasts less than 6 months. These results stress the need to limit exposure of the mountain gorilla population, the park personnel and visitors, as well as the potential of vaccination campaigns to extend the immunity duration.

Indexed as

AnimalsAnimals, NewbornApe DiseasesComputer SimulationCOVID-19Endangered SpeciesFemaleGorilla gorillaImmune SystemMaleModels, StatisticalPandemicsProbabilitySARS-CoV-2Stochastic Processes

Identifiers

PMID34675230
PMCPMC8531408

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.