Evidence map›Paper›PMID 35632836›Full record

ArticleViruses2022

Dating the Emergence of Human Endemic Coronaviruses.

Diego Forni, Rachele Cagliani, Uberto Pozzoli, Alessandra Mozzi, Federica Arrigoni, Luca De Gioia, Mario Clerici, Manuela Sironi

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 15 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

8 authors at 3 institutions in 1 country.

Diego ForniBioinformatics, Scientific Institute IRCCS E. MEDEA, 23842 Bosisio Parini, Italy.ORCID 0000-0001-9291-5352
Rachele CaglianiBioinformatics, Scientific Institute IRCCS E. MEDEA, 23842 Bosisio Parini, Italy.ORCID 0000-0003-2670-3532
Uberto PozzoliBioinformatics, Scientific Institute IRCCS E. MEDEA, 23842 Bosisio Parini, Italy.
Alessandra MozziBioinformatics, Scientific Institute IRCCS E. MEDEA, 23842 Bosisio Parini, Italy.ORCID 0000-0003-3911-1042
Federica ArrigoniDepartment of Biotechnology and Biosciences, University of Milan-Bicocca, 20126 Milan, Italy.
Luca De GioiaDepartment of Biotechnology and Biosciences, University of Milan-Bicocca, 20126 Milan, Italy.
Mario ClericiDepartment of Physiopathology and Transplantation, University of Milan, 20122 Milan, Italy.ORCID 0000-0001-5920-6191
Manuela SironiBioinformatics, Scientific Institute IRCCS E. MEDEA, 23842 Bosisio Parini, Italy.ORCID 0000-0002-2267-5266
IRCCS Eugenio Medea · ITUniversity of Milano-Bicocca · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Four endemic coronaviruses infect humans and cause mild symptoms. Because previous analyses were based on a limited number of sequences and did not control for effects that affect molecular dating, we re-assessed the timing of endemic coronavirus emergence. After controlling for recombination, selective pressure, and molecular clock model, we obtained similar tMRCA (time to the most recent common ancestor) estimates for the four coronaviruses, ranging from 72 (HCoV-229E) to 54 (HCoV-NL63) years ago. The split times of HCoV-229E and HCoV-OC43 from camel alphacoronavirus and bovine coronavirus were dated ~268 and ~99 years ago. The split times of HCoV-HKU1 and HCoV-NL63 could not be calculated, as their zoonoticic sources are unknown. To compare the timing of coronavirus emergence to that of another respiratory virus, we recorded the occurrence of influenza pandemics since 1500. Although there is no clear relationship between pandemic occurrence and human population size, the frequency of influenza pandemics seems to intensify starting around 1700, which corresponds with the initial phase of exponential increase of human population and to the emergence of HCoV-229E. The frequency of flu pandemics in the 19th century also suggests that the concurrence of HCoV-OC43 emergence and the Russian flu pandemic may be due to chance.

Indexed as

Coronavirus 229E, HumanCoronavirus InfectionsCoronavirus NL63, HumanCoronavirus OC43, HumanInfluenza, HumanAnimalsCattleHumansTime Factorscoronavirusemerging infectious diseasesmolecular datingviral diseasevirus evolution

Identifiers

PMID35632836
PMCPMC9148137
OpenAlexW4280649295

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.