Evidence map›Paper›PMID 30958162›Full record

ArticleJournal of the Royal Society, Interface2019

Estimation in emerging epidemics: biases and remedies.

Tom Britton, Gianpaolo Scalia Tomba

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Estimates of early outbreak-specific SARS-CoV-2 epidemiological parameters from genomic data.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  19. Spatially explicit effective reproduction numbers from incidence and mobility data.Proceedings of the National Academy of Sciences of the United States of America · 2023
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23 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

2 authors.

Tom Britton1 Department of Mathematics, Stockholm University , 10691 Stockholm , Sweden.
Gianpaolo Scalia Tomba2 Department of Mathematics, University of Rome Tor Vergata , 00133 Rome , Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When analysing new emerging infectious disease outbreaks, one typically has observational data over a limited period of time and several parameters to estimate, such as growth rate, the basic reproduction number R

Indexed as

EpidemicsModels, BiologicalBiasCommunicable Diseases, EmergingHumansbasic reproduction numberemerging epidemicestimation biasstatistics

Identifiers

PMID30958162
PMCPMC6364646

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.