A comparative study of three models to analyze the impact of air pollutants on the number of pulmonary tuberculosis cases in Urumqi, Xinjiang.

In this paper, we separately constructed ARIMA, ARIMAX, and RNN models to determine whether there exists an impact of the air pollutants (such as PM2.5, PM10, CO, O3, NO2, and SO2) on the number of pulmonary tuberculosis cases from January 2014 to December 2018 in Urumqi, Xinjiang. In addition, by u...

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Main Authors: Yingdan Wang, Chunjie Gao, Tiantian Zhao, Haiyan Jiao, Ying Liao, Zengyun Hu, Lei Wang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0277314
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author Yingdan Wang
Chunjie Gao
Tiantian Zhao
Haiyan Jiao
Ying Liao
Zengyun Hu
Lei Wang
author_facet Yingdan Wang
Chunjie Gao
Tiantian Zhao
Haiyan Jiao
Ying Liao
Zengyun Hu
Lei Wang
author_sort Yingdan Wang
collection DOAJ
description In this paper, we separately constructed ARIMA, ARIMAX, and RNN models to determine whether there exists an impact of the air pollutants (such as PM2.5, PM10, CO, O3, NO2, and SO2) on the number of pulmonary tuberculosis cases from January 2014 to December 2018 in Urumqi, Xinjiang. In addition, by using a new comprehensive evaluation index DISO to compare the performance of three models, it was demonstrated that ARIMAX (1,1,2) × (0,1,1)12 + PM2.5 (lag = 12) model was the optimal one, which was applied to predict the number of pulmonary tuberculosis cases in Urumqi from January 2019 to December 2019. The predicting results were in good agreement with the actual pulmonary tuberculosis cases and shown that pulmonary tuberculosis cases obviously declined, which indicated that the policies of environmental protection and universal health checkups in Urumqi have been very effective in recent years.
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spelling doaj.art-8e019974ce3049a0a23eb0e5b611069d2023-03-16T05:32:03ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01181e027731410.1371/journal.pone.0277314A comparative study of three models to analyze the impact of air pollutants on the number of pulmonary tuberculosis cases in Urumqi, Xinjiang.Yingdan WangChunjie GaoTiantian ZhaoHaiyan JiaoYing LiaoZengyun HuLei WangIn this paper, we separately constructed ARIMA, ARIMAX, and RNN models to determine whether there exists an impact of the air pollutants (such as PM2.5, PM10, CO, O3, NO2, and SO2) on the number of pulmonary tuberculosis cases from January 2014 to December 2018 in Urumqi, Xinjiang. In addition, by using a new comprehensive evaluation index DISO to compare the performance of three models, it was demonstrated that ARIMAX (1,1,2) × (0,1,1)12 + PM2.5 (lag = 12) model was the optimal one, which was applied to predict the number of pulmonary tuberculosis cases in Urumqi from January 2019 to December 2019. The predicting results were in good agreement with the actual pulmonary tuberculosis cases and shown that pulmonary tuberculosis cases obviously declined, which indicated that the policies of environmental protection and universal health checkups in Urumqi have been very effective in recent years.https://doi.org/10.1371/journal.pone.0277314
spellingShingle Yingdan Wang
Chunjie Gao
Tiantian Zhao
Haiyan Jiao
Ying Liao
Zengyun Hu
Lei Wang
A comparative study of three models to analyze the impact of air pollutants on the number of pulmonary tuberculosis cases in Urumqi, Xinjiang.
PLoS ONE
title A comparative study of three models to analyze the impact of air pollutants on the number of pulmonary tuberculosis cases in Urumqi, Xinjiang.
title_full A comparative study of three models to analyze the impact of air pollutants on the number of pulmonary tuberculosis cases in Urumqi, Xinjiang.
title_fullStr A comparative study of three models to analyze the impact of air pollutants on the number of pulmonary tuberculosis cases in Urumqi, Xinjiang.
title_full_unstemmed A comparative study of three models to analyze the impact of air pollutants on the number of pulmonary tuberculosis cases in Urumqi, Xinjiang.
title_short A comparative study of three models to analyze the impact of air pollutants on the number of pulmonary tuberculosis cases in Urumqi, Xinjiang.
title_sort comparative study of three models to analyze the impact of air pollutants on the number of pulmonary tuberculosis cases in urumqi xinjiang
url https://doi.org/10.1371/journal.pone.0277314
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