Evidence map›Paper›PMID 35990010›Full record

ArticleSoftware impacts2022

ModInterv: An automated online software for modeling epidemics.

Arthur A Brum, Gerson C Duarte-Filho, Raydonal Ospina, Francisco A G Almeida, Antônio M S Macêdo, Giovani L Vasconcelos

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Software impacts, 2022. 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. 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

6 authors.

Arthur A BrumDepartamento de Física, Universidade Federal de Pernambuco, 50670-901 Recife, Pernambuco, Brazil.
Gerson C Duarte-FilhoDepartamento de Física - Universidade Federal de Sergipe, 49100-000, São Cristóvão, Sergipe, Brazil.
Raydonal OspinaDepartamento de Estatística, CASTLab, Universidade Federal de Pernambuco, 50740-540, Recife, Pernambuco, Brazil.
Francisco A G AlmeidaDepartamento de Física - Universidade Federal de Sergipe, 49100-000, São Cristóvão, Sergipe, Brazil.
Antônio M S MacêdoDepartamento de Física, Universidade Federal de Pernambuco, 50670-901 Recife, Pernambuco, Brazil.
Giovani L VasconcelosDepartamento de Física, Universidade Federal do Paraná, 81531-990 Curitiba, Paraná, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has proven the importance of mathematical tools to understand the evolution of epidemic outbreaks and provide reliable information to the general public and health authorities. In this perspective, we have developed ModInterv, an online software that applies growth models to monitor the evolution of the COVID-19 epidemic in locations chosen by the user among countries worldwide or states and cities in the USA or Brazil. This paper describes the software capabilities and its use both in recent research works and by technical committees assisting government authorities. Possible applications to other epidemics are also briefly discussed.

Indexed as

COVID-19Curve fittingEpidemic curveGrowth models

Identifiers

PMID35990010
PMCPMC9375249

What OpenQuestion holds

Textmetadata
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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.