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System dynamics modeling of public health services provided by China CDC to control infectious and endemic diseases in China

BACKGROUND: Infectious and endemic diseases are a serious public health concern worldwide, and their prevention and treatment are globally controversial. This study aimed to establish an system dynamics (SD) model to analyze the factors influencing public health services provided by the Chinese Cent...

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Autores principales: Li, Meina, Yu, Wenya, Tian, Wei, Ge, Yang, Liu, Yuan, Ding, Tao, Zhang, Lulu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6422414/
https://www.ncbi.nlm.nih.gov/pubmed/30936725
http://dx.doi.org/10.2147/IDR.S185177
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author Li, Meina
Yu, Wenya
Tian, Wei
Ge, Yang
Liu, Yuan
Ding, Tao
Zhang, Lulu
author_facet Li, Meina
Yu, Wenya
Tian, Wei
Ge, Yang
Liu, Yuan
Ding, Tao
Zhang, Lulu
author_sort Li, Meina
collection PubMed
description BACKGROUND: Infectious and endemic diseases are a serious public health concern worldwide, and their prevention and treatment are globally controversial. This study aimed to establish an system dynamics (SD) model to analyze the factors influencing public health services provided by the Chinese Centers for Disease Control and Prevention (China CDC) to implement infectious and endemic disease control in China, by establishing more effective interventions to provide public health services and thus achieving the goal of controlling infectious and endemic diseases. MATERIALS AND METHODS: An SD model was constructed using the Vensim DSS program. Intervention experiments were performed using the SD model, which reflected the influences on disease control by adjusting the governmental investment and compensation level for public health products. RESULTS: The experimental results showed that increasing the governmental investment in China CDC and compensation level for public health products will significantly increase the public health product rate provided by China CDC. DISCUSSION: Problems with infectious and endemic disease prevention and treatment are the result of the system’s incomplete functioning and limited health resources. To address the current problems and improve the system, the government should increase its investment in the public health service system and improve the compensation system to ensure smooth implementation of infectious and endemic disease prevention and treatment and, ultimately, improve public health in China.
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spelling pubmed-64224142019-04-01 System dynamics modeling of public health services provided by China CDC to control infectious and endemic diseases in China Li, Meina Yu, Wenya Tian, Wei Ge, Yang Liu, Yuan Ding, Tao Zhang, Lulu Infect Drug Resist Original Research BACKGROUND: Infectious and endemic diseases are a serious public health concern worldwide, and their prevention and treatment are globally controversial. This study aimed to establish an system dynamics (SD) model to analyze the factors influencing public health services provided by the Chinese Centers for Disease Control and Prevention (China CDC) to implement infectious and endemic disease control in China, by establishing more effective interventions to provide public health services and thus achieving the goal of controlling infectious and endemic diseases. MATERIALS AND METHODS: An SD model was constructed using the Vensim DSS program. Intervention experiments were performed using the SD model, which reflected the influences on disease control by adjusting the governmental investment and compensation level for public health products. RESULTS: The experimental results showed that increasing the governmental investment in China CDC and compensation level for public health products will significantly increase the public health product rate provided by China CDC. DISCUSSION: Problems with infectious and endemic disease prevention and treatment are the result of the system’s incomplete functioning and limited health resources. To address the current problems and improve the system, the government should increase its investment in the public health service system and improve the compensation system to ensure smooth implementation of infectious and endemic disease prevention and treatment and, ultimately, improve public health in China. Dove Medical Press 2019-03-13 /pmc/articles/PMC6422414/ /pubmed/30936725 http://dx.doi.org/10.2147/IDR.S185177 Text en © 2019 Li et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Li, Meina
Yu, Wenya
Tian, Wei
Ge, Yang
Liu, Yuan
Ding, Tao
Zhang, Lulu
System dynamics modeling of public health services provided by China CDC to control infectious and endemic diseases in China
title System dynamics modeling of public health services provided by China CDC to control infectious and endemic diseases in China
title_full System dynamics modeling of public health services provided by China CDC to control infectious and endemic diseases in China
title_fullStr System dynamics modeling of public health services provided by China CDC to control infectious and endemic diseases in China
title_full_unstemmed System dynamics modeling of public health services provided by China CDC to control infectious and endemic diseases in China
title_short System dynamics modeling of public health services provided by China CDC to control infectious and endemic diseases in China
title_sort system dynamics modeling of public health services provided by china cdc to control infectious and endemic diseases in china
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6422414/
https://www.ncbi.nlm.nih.gov/pubmed/30936725
http://dx.doi.org/10.2147/IDR.S185177
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