Evidence map›Paper›PMID 32917290›Full record

ArticleEmerging infectious diseases2020

Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19.

Matthew Biggerstaff, Benjamin J Cowling, Zulma M Cucunubá, Linh Dinh, Neil M Ferguson, Huizhi Gao, Verity Hill, Natsuko Imai, Michael A Johansson, Sarah Kada and 12 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. The Risk from Reopening International Travel During a Disease X Pandemic: A Case Study of SARS-CoV-2.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  4. Socioeconomic Interventions for WHO's End TB Strategy Targets: Insights from SIR Modelling in Kazakhstan.International journal of environmental research and public health · 2026
    Article
  5. Article
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  8. Modelling the impact of the Omicron BA.5 subvariant in New Zealand.Journal of the Royal Society, Interface · 2023
    Article
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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

22 authors.

Matthew Biggerstaff
Benjamin J Cowling
Zulma M Cucunubá
Linh Dinh
Neil M Ferguson
Huizhi Gao
Verity Hill
Natsuko Imai
Michael A Johansson
Sarah Kada
Oliver Morgan
Ana Pastore Y Piontti
Jonathan A Polonsky
Pragati Venkata Prasad
Talia M Quandelacy
Andrew Rambaut
Jordan W Tappero
Katelijn A Vandemaele
Alessandro Vespignani
K Lane Warmbrod
Jessica Y Wong
WHO COVID-19 Modelling Parameters Group

Funding

Medical Research Council MC_PC_19012Medical Research Council MR/R015600/1Medical Research Council MR/R024855/1
6 · The paper itself

Abstract

We report key epidemiologic parameter estimates for coronavirus disease identified in peer-reviewed publications, preprint articles, and online reports. Range estimates for incubation period were 1.8-6.9 days, serial interval 4.0-7.5 days, and doubling time 2.3-7.4 days. The effective reproductive number varied widely, with reductions attributable to interventions. Case burden and infection fatality ratios increased with patient age. Implementation of combined interventions could reduce cases and delay epidemic peak up to 1 month. These parameters for transmission, disease severity, and intervention effectiveness are critical for guiding policy decisions. Estimates will likely change as new information becomes available.

Indexed as

BetacoronavirusModels, StatisticalModels, TheoreticalCoronavirus InfectionsCOVID-19Disease Transmission, InfectiousHumansPandemicsPneumonia, ViralSARS-CoV-22019 novel coronavirus diseasecoronavirusCOVID-19epidemiological parametersmathematical modelingSARS-CoV-2severe acute respiratory syndrome coronavirus 2virusesWorld Health Organizationzoonoses

Identifiers

PMID32917290
PMCPMC7588530

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.