Evidence map›Paper›PMID 33163106›Full record

ArticleRevue francophone des laboratoires : RFL2020

[Mathematical epidemiology and modeling of the Covid-19 pandemic: issues and diversity].

Ramsès Djidjou-Demasse, Christian Selinger, Mircea T Sofonea

Abstract readEnglish Abstract
In one paragraph

Article in Revue francophone des laboratoires : RFL, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Epidemic models: why and how to use them.Anaesthesia, critical care & pain medicine · 2022
    Article
  2. Article
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.

Ramsès Djidjou-DemasseMaladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (Mivegec), université de Montpellier, CNRS, IRD, 39 Avenue Charles-Flahault, 34090 Montpellier, France.
Christian SelingerMaladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (Mivegec), université de Montpellier, CNRS, IRD, 39 Avenue Charles-Flahault, 34090 Montpellier, France.
Mircea T SofoneaMaladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (Mivegec), université de Montpellier, CNRS, IRD, 39 Avenue Charles-Flahault, 34090 Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, the field of mathematical epidemiology experienced an exceptional production and media coverage of its work. Even though data and knowledge on the emerging disease were patchy, a wide variety of models were developed and applied in unprecedented timeframes, with the aim of estimating the reproduction number, the starting date of the epidemic or the cumulative incidence, but also to explore different scenarios of non-pharmaceutical interventions. Their results have made a major contribution to epidemiological surveillance and informed public health policy decisions.

Indexed as

COVID-19epidemiologymodellingreproduction numberstatistics

Identifiers

PMID33163106
PMCPMC7604046

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.