Evidence map›Paper›PMID 32738203›Full record

ArticleThe Lancet. Infectious diseases2020

Observations of the global epidemiology of COVID-19 from the prepandemic period using web-based surveillance: a cross-sectional analysis.

Fatimah S Dawood, Philip Ricks, Gibril J Njie, Michael Daugherty, William Davis, James A Fuller, Alison Winstead, Margaret McCarron, Lia C Scott, Diana Chen and 9 more

Abstract read
In one paragraph

Article in The Lancet. Infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 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

44 citing papers in PubMed, 1 synthesis or guideline 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

19 authors.

Fatimah S DawoodCenters for Disease Control and Prevention, Atlanta, GA, USA. Electronic address: fdawood@cdc.gov.
Philip RicksCenters for Disease Control and Prevention, Atlanta, GA, USA.
Gibril J NjieCenters for Disease Control and Prevention, Atlanta, GA, USA.
Michael DaughertyCenters for Disease Control and Prevention, Atlanta, GA, USA.
William DavisCenters for Disease Control and Prevention, Atlanta, GA, USA.
James A FullerCenters for Disease Control and Prevention, Atlanta, GA, USA.
Alison WinsteadCenters for Disease Control and Prevention, Atlanta, GA, USA.
Margaret McCarronCenters for Disease Control and Prevention, Atlanta, GA, USA.
Lia C ScottCenters for Disease Control and Prevention, Atlanta, GA, USA.
Diana ChenCenters for Disease Control and Prevention, Atlanta, GA, USA.
Amy E BlainCenters for Disease Control and Prevention, Atlanta, GA, USA.
Ron MoolenaarCenters for Disease Control and Prevention, Atlanta, GA, USA.
Chaoyang LiCenters for Disease Control and Prevention, Atlanta, GA, USA.
Adebola PopoolaCenters for Disease Control and Prevention, Atlanta, GA, USA.
Cynthia JonesCenters for Disease Control and Prevention, Atlanta, GA, USA.
Puneet AnantharamCenters for Disease Control and Prevention, Atlanta, GA, USA.
Natalie OlsonCenters for Disease Control and Prevention, Atlanta, GA, USA.
Barbara J MarstonCenters for Disease Control and Prevention, Atlanta, GA, USA.
Sarah D BennettCenters for Disease Control and Prevention, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Scant data are available about global patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread and global epidemiology of early confirmed cases of COVID-19 outside mainland China. We describe the global spread of SARS-CoV-2 and characteristics of COVID-19 cases and clusters before the characterisation of COVID-19 as a pandemic.

methodsCases of COVID-19 reported between Dec 31, 2019, and March 10, 2020 (ie, the prepandemic period), were identified daily from official websites, press releases, press conference transcripts, and social media feeds of national ministries of health or other government agencies. Case characteristics, travel history, and exposures to other cases were abstracted. Countries with at least one case were classified as affected. Early cases were defined as those among the first 100 cases reported from each country. Later cases were defined as those after the first 100 cases. We analysed reported travel to affected countries among the first case reported from each country outside mainland China, demographic and exposure characteristics among cases with age or sex information, and cluster frequencies and sizes by transmission settings.

findingsAmong the first case reported from each of 99 affected countries outside of mainland China, 75 (76%) had recent travel to affected countries; 60 (61%) had travelled to China, Italy, or Iran. Among 1200 cases with age or sex information, 874 (73%) were early cases. Among 762 early cases with age information, the median age was 51 years (IQR 35-63); 25 (3%) of 762 early cases occurred in children younger than 18 years. Overall, 21 (2%) of 1200 cases were in health-care workers and none were in pregnant women. 101 clusters were identified, of which the most commonly identified transmission setting was households (76 [75%]; mean 2·6 cases per cluster [range 2-7]), followed by non-health-care occupational settings (14 [14%]; mean 4·3 cases per cluster [2-14]), and community gatherings (11 [11%]; mean 14·2 cases per cluster [4-36]).

interpretationCases with travel links to China, Italy, or Iran accounted for almost two-thirds of the first reported COVID-19 cases from affected countries. Among cases with age information available, most were among adults aged 18 years and older. Although there were many clusters of household transmission among early cases, clusters in occupational or community settings tended to be larger, supporting a possible role for physical distancing to slow the progression of SARS-CoV-2 spread.

fundingNone.

Indexed as

BetacoronavirusEpidemiological MonitoringGlobal HealthInternetAdolescentAdultChildCoronavirus InfectionsCOVID-19Cross-Sectional StudiesFamily CharacteristicsFemaleHealth PersonnelHumansMaleMiddle Aged

Identifiers

PMID32738203
PMCPMC7836788

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.