Evidence map›Paper›PMID 32461066›Full record

SynthesisAmerican journal of infection control2020

The effect of state-level stay-at-home orders on COVID-19 infection rates.

Renan C Castillo, Elena D Staguhn, Elias Weston-Farber

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in American journal of infection control, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

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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

3 authors.

Renan C CastilloDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21231. Electronic address: rcastil1@jhu.edu.
Elena D StaguhnDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21231.
Elias Weston-FarberDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21231.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

State-level stay-at-home orders were monitored to determine their effect on the rate of confirmed COVID-19 diagnoses. Confirmed cases were tracked before and after state-level stay-at-home orders were put in place. Linear regression techniques were used to determine slopes for log case count data, and meta analyses were conducted to combine data across states. The results were remarkably consistent across states and support the usefulness of stay-at-home orders in reducing COVID-19 infection rates.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19HumansPandemicsPneumonia, ViralSARS-CoV-2CoronavirusEpidemiologyNonpharmaceutical intervention

Identifiers

PMID32461066
PMCPMC7246016

What OpenQuestion holds

Textmetadata
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.