Evidence map›Paper›PMID 37989736›Full record

ArticleNature communications2023

Isolation may select for earlier and higher peak viral load but shorter duration in SARS-CoV-2 evolution.

Junya Sunagawa, Hyeongki Park, Kwang Su Kim, Ryo Komorizono, Sooyoun Choi, Lucia Ramirez Torres, Joohyeon Woo, Yong Dam Jeong, William S Hart, Robin N Thompson and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 12 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

13 authors at 9 institutions in 4 countries.

Junya Sunagawa *Department of Advanced Transdisciplinary Sciences, Hokkaido University, Sapporo, Hokkaido, Japan.
Hyeongki Park *interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Kwang Su Kim *interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Ryo KomorizonoLaboratory of RNA Viruses, Department of Virus Research, Institute for Life and Medical Sciences (LiMe), Kyoto University, Kyoto, Japan.
Sooyoun Choiinterdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Lucia Ramirez Torresinterdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Joohyeon Woointerdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Yong Dam Jeonginterdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan.ORCID 0000-0002-3970-7690
William S HartMathematical Institute, University of Oxford, Oxford, UK.
Robin N ThompsonMathematical Institute, University of Oxford, Oxford, UK.ORCID 0000-0001-8545-5212
Kazuyuki AiharaInternational Research Center for Neurointelligence, The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Tokyo, Japan.
Shingo Iwamiinterdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan. iwami.iblab@bio.nagoya-u.ac.jp.ORCID 0000-0002-1780-350X
Ryo YamaguchiDepartment of Advanced Transdisciplinary Sciences, Hokkaido University, Sapporo, Hokkaido, Japan. ryamaguchi@sci.hokudai.ac.jp.ORCID 0000-0003-3545-7513
Nagoya University · JPPusan National University · KRHokkaido University · JPHokkaido University of Science · JPKyoto University · JPKyushu University · JPThe University of Tokyo · JPUniversity of Oxford · GBUniversity of Warwick · GB

Funding

Japan Agency for Medical Research and Development (AMED) 19gm1310002Japan Agency for Medical Research and Development (AMED) 20fk0108140s0801Japan Agency for Medical Research and Development (AMED) 20wm0325004s0201Japan Agency for Medical Research and Development (AMED) 20wm0325007h0001Japan Agency for Medical Research and Development (AMED) 20wm0325012s0301Japan Agency for Medical Research and Development (AMED) 20wm0325015s0301Japan Agency for Medical Research and Development (AMED) 21fk0108428s0301Japan Agency for Medical Research and Development (AMED) 21fk0210094Japan Agency for Medical Research and Development (AMED) 21nf0101638s0201Japan Agency for Medical Research and Development (AMED) 22fk0310504h0501Japan Agency for Medical Research and Development (AMED) 22fk0410052s0401Japan Agency for Medical Research and Development (AMED) JP22dm0307009MEXT | Japan Science and Technology Agency (JST) JPMJMI22G1MEXT | Japan Science and Technology Agency (JST) JPMJMS2021MEXT | Japan Science and Technology Agency (JST) JPMJMS2025MEXT | Japan Society for the Promotion of Science (JSPS) 16H04845MEXT | Japan Society for the Promotion of Science (JSPS) 18H01139MEXT | Japan Society for the Promotion of Science (JSPS) 20H05042MEXT | Japan Society for the Promotion of Science (JSPS) 22H05215MEXT | Japan Society for the Promotion of Science (JSPS) JPMJAX22AKNational Research Foundation of Korea (NRF) 2022R1C1C2003637
6 · The paper itself

Abstract

During the COVID-19 pandemic, human behavior change as a result of nonpharmaceutical interventions such as isolation may have induced directional selection for viral evolution. By combining previously published empirical clinical data analysis and multi-level mathematical modeling, we find that the SARS-CoV-2 variants selected for as the virus evolved from the pre-Alpha to the Delta variant had earlier and higher peak in viral load dynamics but a shorter duration of infection. Selection for increased transmissibility shapes the viral load dynamics, and the isolation measure is likely to be a driver of these evolutionary transitions. In addition, we show that a decreased incubation period and an increased proportion of asymptomatic infection are also positively selected for as SARS-CoV-2 mutated to adapt to human behavior (i.e., Omicron variants). The quantitative information and predictions we present here can guide future responses in the potential arms race between pandemic interventions and viral evolution.

Indexed as

COVID-19SARS-CoV-2HumansPandemicsViral Load

Identifiers

PMID37989736
PMCPMC10663562
OpenAlexW4388863807

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.