Evidence map›Paper›PMID 32607522›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Practical considerations for measuring the effective reproductive number,

Katelyn M Gostic, Lauren McGough, Edward B Baskerville, Sam Abbott, Keya Joshi, Christine Tedijanto, Rebecca Kahn, Rene Niehus, James Hay, Pablo M De Salazar and 15 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 95 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 8 institutions in 4 countries.

Katelyn M GosticDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, USA.
Lauren McGoughDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, USA.
Edward B BaskervilleDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, USA.
Sam AbbottCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Keya JoshiCenter for Communicable Disease Dynamics, Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Cambridge, MA, USA.
Christine TedijantoCenter for Communicable Disease Dynamics, Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Cambridge, MA, USA.
Rebecca KahnCenter for Communicable Disease Dynamics, Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Cambridge, MA, USA.
Rene NiehusCenter for Communicable Disease Dynamics, Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Cambridge, MA, USA.
James HayCenter for Communicable Disease Dynamics, Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Cambridge, MA, USA.
Pablo M De SalazarCenter for Communicable Disease Dynamics, Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Cambridge, MA, USA.
Joel HellewellCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Sophie MeakinCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
James MundayCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Nikos I BosseCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Katharine SherratCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Robin N ThompsonCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Laura F WhiteDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Jana S HuismanDepartment of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.
Jérémie ScireDepartment of Biosystems Science and Engineering, ETH Zürich, Switzerland.
Sebastian BonhoefferDepartment of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.
Tanja StadlerDepartment of Biosystems Science and Engineering, ETH Zürich, Switzerland.
Jacco WallingaCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Sebastian FunkCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Marc LipsitchCenter for Communicable Disease Dynamics, Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Cambridge, MA, USA.
Sarah CobeyDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, USA.
Center for Disease Dynamics, Economics & Policy · USLondon School of Hygiene & Tropical Medicine · GBUniversity of Chicago · USETH Zurich · CHSIB Swiss Institute of Bioinformatics · CHBoston University · USLeiden University Medical Center · NLUniversity of Oxford · GB

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2009 to 2018
$26.4M
Epidemiology of Infectious Diseases and BiodefenseT32AI007535 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI GRAD, YONATAN H, MURRAY, MEGAN B · 1998 to 2025
$4.8M
Supplement to Methods to Estimate the Effect of Interventions on the Incidence and Transmission of TuberculosisR01GM122876 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WHITE, LAURA FORSBERG · 2017 to 2021
$1.9M
Laws of mechanics and function in proteins as evolved molecular machinesF32GM134721 · NIGMS · UNIVERSITY OF CHICAGO · PI MCGOUGH, LAUREN · 2019 to 2021
$195k
NIAID NIH HHS HHSN272201400005CNIAID NIH HHS T32 AI007535NIGMS NIH HHS F32 GM134721NIGMS NIH HHS R01 GM122876NIGMS NIH HHS U54 GM088558Wellcome Trust
6 · The paper itself

Abstract

Estimation of the effective reproductive number,

Identifiers

PMID32607522
PMCPMC7325187
OpenAlexW3036199440

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.