Evidence map›Paper›PMID 34873059›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

How immunity from and interaction with seasonal coronaviruses can shape SARS-CoV-2 epidemiology.

Naomi R Waterlow, Edwin van Leeuwen, Nicholas G Davies, CMMID COVID-19 Working Group, Stefan Flasche, Rosalind M Eggo

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 26 citations in OpenAlex.

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  19. Hallmarks of Severe COVID-19 Pathogenesis:Frontiers in immunology · 2022
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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

6 authors at 1 institution in 1 country.

Naomi R WaterlowCentre for Mathematical Modeling of Infectious Disease, London School of Hygiene and Tropical Medicine, London WC14 7HT, United Kingdom; naomi.waterlow1@lshtm.ac.uk.ORCID 0000-0002-9210-9657
Edwin van LeeuwenCentre for Mathematical Modeling of Infectious Disease, London School of Hygiene and Tropical Medicine, London WC14 7HT, United Kingdom.
Nicholas G DaviesCentre for Mathematical Modeling of Infectious Disease, London School of Hygiene and Tropical Medicine, London WC14 7HT, United Kingdom.ORCID 0000-0002-1740-1412
CMMID COVID-19 Working Group
Stefan FlascheCentre for Mathematical Modeling of Infectious Disease, London School of Hygiene and Tropical Medicine, London WC14 7HT, United Kingdom.
Rosalind M EggoCentre for Mathematical Modeling of Infectious Disease, London School of Hygiene and Tropical Medicine, London WC14 7HT, United Kingdom.ORCID 0000-0002-0362-6717
London School of Hygiene & Tropical Medicine · GB

Funding

Does repeated influenza vaccination constrain influenza immune responses and protection?R01AI141534 · NIAID · UNIVERSITY OF MELBOURNE · PI FOX, ANNETTE, KUCHARSKI, ADAM JAMES · 2019 to 2023
$4.9M
CRCNS: Deep Neural Network Approaches for Closed-Loop Deep Brain StimulationR01NS110424 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RICHARDSON, ROBERT MARK, TURNER, ROBERT STERLING · 2018 to 2020
$673k
Medical Research Council MC_PC_19065Medical Research Council MC_PC19065Medical Research Council MR/N013638/1Medical Research Council MR/P014658/1Medical Research Council MR/S003975/1Medical Research Council MR/V015737/1NIAID NIH HHS R01 AI141534NINDS NIH HHS R01 NS110424Wellcome TrustWellcome Trust 208812/Z/17/ZWellcome Trust 221303/Z/20/Z
6 · The paper itself

Abstract

We hypothesized that cross-protection from seasonal epidemics of human coronaviruses (HCoVs) could have affected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission, including generating reduced susceptibility in children. To determine what the prepandemic distribution of immunity to HCoVs was, we fitted a mathematical model to 6 y of seasonal coronavirus surveillance data from England and Wales. We estimated a duration of immunity to seasonal HCoVs of 7.8 y (95% CI 6.3 to 8.1) and show that, while cross-protection between HCoV and SARS-CoV-2 may contribute to the age distribution, it is insufficient to explain the age pattern of SARS-CoV-2 infections in the first wave of the pandemic in England and Wales. Projections from our model illustrate how different strengths of cross-protection between circulating coronaviruses could determine the frequency and magnitude of SARS-CoV-2 epidemics over the coming decade, as well as the potential impact of cross-protection on future seasonal coronavirus transmission.

Indexed as

Age FactorsBasic Reproduction NumberCoronavirusCoronavirus InfectionsCOVID-19Cross ProtectionEnglandForecastingHumansSARS-CoV-2SeasonsWalescoronavirusesCOVID-19cross-protectionimmunitySARS-CoV-2

Identifiers

PMID34873059
PMCPMC8670441
OpenAlexW4226325520

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.