Evidence map›Paper›PMID 32701162›Full record

ArticleJAMA network open2020

Association of Social Distancing, Population Density, and Temperature With the Instantaneous Reproduction Number of SARS-CoV-2 in Counties Across the United States.

David Rubin, Jing Huang, Brian T Fisher, Antonio Gasparrini, Vicky Tam, Lihai Song, Xi Wang, Jason Kaufman, Kate Fitzpatrick, Arushi Jain and 4 more

Abstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 4 pooled it
–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

89 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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

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

14 authors.

David RubinDepartment of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Jing HuangDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
Brian T FisherDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
Antonio GasparriniDepartment of Public Health Environments and Society, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Vicky TamDepartment of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Lihai SongDepartment of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Xi WangDepartment of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Jason KaufmanPerelman School of Medicine at the University of Pennsylvania, Philadelphia.
Kate FitzpatrickDivision of Urology, Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Arushi JainDivision of Urology, Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Heather GriffisDepartment of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Koby CrammerDepartment of Electrical Engineering, The Technion, Haifa, Israel.
Jeffrey MorrisDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
Gregory TasianPolicyLab, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

Funding

Medical Research Council MR/M022625/1Medical Research Council MR/R013349/1
6 · The paper itself

Abstract

Importance: Local variation in the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) across the United States has not been well studied. Objective: To examine the association of county-level factors with variation in the SARS-CoV-2 reproduction number over time. Design, Setting, and Participants: This cohort study included 211 counties, representing state capitals and cities with at least 100 000 residents and including 178 892 208 US residents, in 46 states and the District of Columbia between February 25, 2020, and April 23, 2020. Exposures: Social distancing, measured by percentage change in visits to nonessential businesses; population density; and daily wet-bulb temperatures. Main Outcomes and Measures: Instantaneous reproduction number (Rt), or cases generated by each incident case at a given time, estimated from daily case incidence data. Results: The 211 counties contained 178 892 208 of 326 289 971 US residents (54.8%). Median (interquartile range) population density was 1022.7 (471.2-1846.0) people per square mile. The mean (SD) peak reduction in visits to nonessential business between April 6 and April 19, as the country was sheltering in place, was 68.7% (7.9%). Median (interquartile range) daily wet-bulb temperatures were 7.5 (3.8-12.8) °C. Median (interquartile range) case incidence and fatality rates per 100 000 people were approximately 10 times higher for the top decile of densely populated counties (1185.2 [313.2-1891.2] cases; 43.7 [10.4-106.7] deaths) than for counties in the lowest density quartile (121.4 [87.8-175.4] cases; 4.2 [1.9-8.0] deaths). Mean (SD) Rt in the first 2 weeks was 5.7 (2.5) in the top decile compared with 3.1 (1.2) in the lowest quartile. In multivariable analysis, a 50% decrease in visits to nonessential businesses was associated with a 45% decrease in Rt (95% CI, 43%-49%). From a relative Rt at 0 °C of 2.13 (95% CI, 1.89-2.40), relative Rt decreased to a minimum as temperatures warmed to 11 °C, increased between 11 and 20 °C (1.61; 95% CI, 1.42-1.84) and then declined again at temperatures greater than 20 °C. With a 70% reduction in visits to nonessential business, 202 counties (95.7%) were estimated to fall below a threshold Rt of 1.0, including 17 of 21 counties (81.0%) in the top density decile and 52 of 53 counties (98.1%) in the lowest density quartile.2. Conclusions and Relevance: In this cohort study, social distancing, lower population density, and temperate weather were associated with a decreased Rt for SARS-CoV-2 in counties across the United States. These associations could inform selective public policy planning in communities during the coronavirus disease 2019 pandemic.

Indexed as

Basic Reproduction NumberPandemicsPhysical DistancingPopulation DensityTemperatureBetacoronavirusCoronavirus InfectionsCOVID-19Disease Transmission, InfectiousEpidemiological MonitoringHumansIncidencePneumonia, ViralSARS-CoV-2United States

Identifiers

PMID32701162
PMCPMC7378754

What OpenQuestion holds

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Registered trials

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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.