Evidence map›Paper›PMID 35010675›Full record

ArticleInternational journal of environmental research and public health2021

Application of the ARIMA Model to Predict Under-Reporting of New Cases of Hansen's Disease during the COVID-19 Pandemic in a Municipality of the Amazon Region.

Valéria Perim da Cunha, Glenda Michele Botelho, Ary Henrique Morais de Oliveira, Lorena Dias Monteiro, David Gabriel de Barros Franco, Rafael da Costa Silva

Open access · goldAbstract readCase Reports
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 26% of its field
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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. 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 at 3 institutions in 1 country.

Valéria Perim da CunhaGraduate Program in Intellectual Property and Information Technology Transfer - PROFNIT, Federal University of Tocantins, Palmas 77001-090, TO, Brazil.
Glenda Michele BotelhoGraduate Program in Intellectual Property and Information Technology Transfer - PROFNIT, Federal University of Tocantins, Palmas 77001-090, TO, Brazil.ORCID 0000-0003-1334-0939
Ary Henrique Morais de OliveiraGraduate Program in Intellectual Property and Information Technology Transfer - PROFNIT, Federal University of Tocantins, Palmas 77001-090, TO, Brazil.
Lorena Dias MonteiroMedicine Course, State University of Tocantins, Palmas 77020-122, TO, Brazil.
David Gabriel de Barros FrancoGraduate Program in Digital Agroenergy (PPGADIGITAL), Federal University of Tocantins, Palmas 77001-090, TO, Brazil.ORCID 0000-0002-4313-6798
Rafael da Costa SilvaComputing Department, Federal University of São Carlos, São Carlos 13565-905, SP, Brazil.ORCID 0000-0002-9394-9869
Universidade Federal do Tocantins · BRUniversidade do Tocantins · BRUniversidade Federal de São Carlos · BR

Funding

Research Program of the Unified Health System of the Ministry of Health/Brazil (MS/PPSUS) 2018/20301/002Tocantins State Research Support Foundation (FAPT) FAPT/TO-DECIT/SCTIE/MS-CNPq/N° 01/2017
6 · The paper itself

Abstract

This work aimed to apply the ARIMA model to predict the under-reporting of new Hansen's disease cases during the COVID-19 pandemic in Palmas, Tocantins, Brazil. This is an ecological time series study of Hansen's disease indicators in the city of Palmas between 2001 and 2020 using the autoregressive integrated moving averages method. Data from the Notifiable Injuries Information System and population estimates from the Brazilian Institute of Geography and Statistics were collected. A total of 7035 new reported cases of Hansen's disease were analyzed. The ARIMA model (4,0,3) presented the lowest values for the two tested information criteria and was the one that best fit the data, as AIC = 431.30 and BIC = 462.28, using a statistical significance level of 0.05 and showing the differences between the predicted values and those recorded in the notifications, indicating a large number of under-reporting of Hansen's disease new cases during the period from April to December 2020. The ARIMA model reported that 177% of new cases of Hansen's disease were not reported in Palmas during the period of the COVID-19 pandemic in 2020. This study shows the need for the municipal control program to undertake immediate actions in terms of actively searching for cases and reducing their hidden prevalence.

Indexed as

COVID-19LeprosyBrazilHumansModels, StatisticalPandemicsSARS-CoV-2COVID-19epidemiologyleprosyneglected diseasetime series analysis

Identifiers

PMID35010675
PMCPMC8744825
OpenAlexW4206608246

What OpenQuestion holds

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LicenceCC BY
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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.