Evidence map›Paper›PMID 33158911›Full record

ArticleScience advances2020

Differential effects of intervention timing on COVID-19 spread in the United States.

Sen Pei, Sasikiran Kandula, Jeffrey Shaman

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 196 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
196citing papers in PubMed, 2 pooled it
9.8field-weighted citation impact, top 2% 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

196 citing papers in PubMed, 2 syntheses or guidelines pooled it, 339 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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  6. Article
  7. Reconstructing the early spatial spread of pandemic respiratory viruses in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  12. Improving outbreak forecasts through model augmentation.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  17. Assessing the Impact of Haulage Drivers in Uganda's COVID-19 Delta Wave.Journal of epidemiology and global health · 2025
    Article
  18. Article
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  20. Observational

136 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Sen PeiDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-7072-2995
Sasikiran KandulaDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Jeffrey ShamanDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA. jls106@cumc.columbia.edu.ORCID 0000-0002-7216-7809
Columbia University · US

Funding

Development and Dissemination of Operational Real-Time Respiratory Virus ForecastU01GM110748 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHAMAN, JEFFREY L · 2014 to 2018
$2.6M
NIGMS NIH HHS U01 GM110748
6 · The paper itself

Abstract

Assessing the effects of early nonpharmaceutical interventions on coronavirus disease 2019 (COVID-19) spread is crucial for understanding and planning future control measures to combat the pandemic. We use observations of reported infections and deaths, human mobility data, and a metapopulation transmission model to quantify changes in disease transmission rates in U.S. counties from 15 March to 3 May 2020. We find that marked, asynchronous reductions of the basic reproductive number occurred throughout the United States in association with social distancing and other control measures. Counterfactual simulations indicate that, had these same measures been implemented 1 to 2 weeks earlier, substantial cases and deaths could have been averted and that delayed responses to future increased incidence will facilitate a stronger rebound of infections and death. Our findings underscore the importance of early intervention and aggressive control in combatting the COVID-19 pandemic.

Indexed as

Models, TheoreticalCitiesCOVID-19GeographyHumansIncidencePandemicsPopulation DynamicsSARS-CoV-2Time FactorsUnited States

Identifiers

PMID33158911
PMCPMC7821895
OpenAlexW3096419685

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.