Evidence map›Paper›PMID 35080987›Full record

ArticleScience advances2022

SARS-CoV-2 epidemic after social and economic reopening in three U.S. states reveals shifts in age structure and clinical characteristics.

Nathan B Wikle, Thu Nguyen-Anh Tran, Bethany Gentilesco, Scott M Leighow, Emmy Albert, Emily R Strong, Karel Brinda, Haider Inam, Fuhan Yang, Sajid Hossain and 6 more

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  12. Metrics to relate COVID-19 wastewater data to clinical testing dynamics.medRxiv : the preprint server for health sciences · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Nathan B WikleCenter for Infectious Disease Dynamics, Department of Statistics, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-8574-8752
Thu Nguyen-Anh TranCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-6789-5900
Bethany GentilescoDepartment of Medicine, Brown University, Providence, RI, USA.
Scott M LeighowCenter for Infectious Disease Dynamics, Department of Bioengineering, Pennsylvania State University, University Park, PA, USA.
Emmy AlbertDepartment of Physics, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-7671-657X
Emily R StrongCenter for Infectious Disease Dynamics, Department of Statistics, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-1548-3354
Karel BrindaCenter for Communicable Disease Dynamic, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0003-0200-557X
Haider InamCenter for Infectious Disease Dynamics, Department of Bioengineering, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0003-3648-1857
Fuhan YangCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA.
Sajid HossainYale School of Medicine, Yale University, New Haven, CT, USA.ORCID 0000-0001-5319-2761
Philip ChanDepartment of Medicine, Brown University, Providence, RI, USA.
William P HanageCenter for Communicable Disease Dynamic, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-6319-7336
Maria MessickRhode Island Office of the Governor and Rhode Island Department of Health, Providence, RI, USA.
Justin R PritchardCenter for Infectious Disease Dynamics, Department of Bioengineering, Pennsylvania State University, University Park, PA, USA.
Ephraim M HanksCenter for Infectious Disease Dynamics, Department of Statistics, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0003-0345-7164
Maciej F BoniCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-0830-9630

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIPSITCH, MARC · 2009 to 2018
$26.4M
Short-Term Reserch Training: Students in Health SchoolsT35HL007649 · NHLBI · YALE UNIVERSITY · PI Sarwat I Chaudhry, Erica L Herzog · 1987 to 2026
$5.7M
Evolutionary Tradeoffs in Antibiotic ResistanceR35GM133700 · NIGMS · HARVARD MEDICAL SCHOOL · PI BAYM, MICHAEL · 2019 to 2023
$2.4M
NHLBI NIH HHS T35 HL007649NIAID NIH HHS HHSN272201400007CNIGMS NIH HHS R35 GM133700NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

State-level reopenings in late spring 2020 facilitated the resurgence of severe acute respiratory syndrome coronavirus 2 transmission. Here, we analyze age-structured case, hospitalization, and death time series from three states-Rhode Island, Massachusetts, and Pennsylvania-that had successful reopenings in May 2020 without summer waves of infection. Using 11 daily data streams, we show that from spring to summer, the epidemic shifted from an older to a younger age profile and that elderly individuals were less able to reduce contacts during the lockdown period when compared to younger individuals. Clinical case management improved from spring to summer, resulting in fewer critical care admissions and lower infection fatality rate. Attack rate estimates through 31 August 2020 are 6.2% [95% credible interval (CI), 5.7 to 6.8%] of the total population infected for Rhode Island, 6.7% (95% CI, 5.4 to 7.6%) in Massachusetts, and 2.7% (95% CI, 2.5 to 3.1%) in Pennsylvania.

Indexed as

Population DynamicsAdultAgedAged, 80 and overCOVID-19HospitalizationHumansIncidenceIntensive Care UnitsMassachusettsMiddle AgedPennsylvaniaQuarantineRhode IslandSARS-CoV-2Survival Analysis

Identifiers

PMID35080987
PMCPMC8791616

What OpenQuestion holds

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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.