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Spatial-temporal distribution of neglected tropical diseases burdens in China from 2005 to 2020.
Ouyang, Hanqi; Zhao, Ziyu; Fall, Ibrahima Socé; Djirmay, Amadou Garba; Ohore, Okugbe Ebiotubo; Bergquist, Robert; Yang, Guojing.
Afiliação
  • Ouyang H; NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, the First Affiliated Hospital, Hainan Medical University, Haikou, 571199, Hainan, China.
  • Zhao Z; NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, the First Affiliated Hospital, Hainan Medical University, Haikou, 571199, Hainan, China.
  • Fall IS; Global NTD Programme, WHO, Geneva, Switzerland.
  • Djirmay AG; Global NTD Programme, WHO, Geneva, Switzerland.
  • Ohore OE; NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, the First Affiliated Hospital, Hainan Medical University, Haikou, 571199, Hainan, China.
  • Bergquist R; Ingerod, Brastad, Sweden.
  • Yang G; NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, the First Affiliated Hospital, Hainan Medical University, Haikou, 571199, Hainan, China. guojingyang@hotmail.com.
Infect Dis Poverty ; 13(1): 64, 2024 Sep 04.
Article em En | MEDLINE | ID: mdl-39232824
ABSTRACT

BACKGROUND:

Out of the 21 neglected tropical diseases (NTDs) listed by the World Health Organization, 15 affect the People's Republic of China. Despite significant achievements in controlling NTDs, comprehensive assessments of the disease burden based on actual case data and detailed information on spatial and temporal dynamics are still lacking. This study aims to assess the disease burden and spatial-temporal distribution of NTDs in China from 2005 to 2020, to provide a reference for the formulation of national health agendas in line with the global health agenda, and guide resource allocation.

METHODS:

The number of cases and deaths of major NTDs in China from 2005 to 2020 were downloaded from the China Public Health Science Data Center ( https//www.phsciencedata.cn/Share/index.jsp ) of the Chinese Center for Disease Control and Prevention and relevant literatures. Simplified formulas for disability-adjusted life years (DALYs) helped estimate the years of life lost (YLLs), years lived with disability (YLDs), and total DALYs. Spatial autocorrelation analysis of the average NTDs burden data for the years 2005 to 2020 was evaluated using Moran's I statistic.

RESULTS:

China's overall NTDs burden decreased significantly, from 245,444.53 DALYs in 2005 to 18,984.34 DALYs in 2020, marking a reduction of 92.27%. In 2005, the DALYs caused by schistosomiasis and rabies represent a substantial proportion of the total disease burden, accounting for 65.37% and 34.43% respectively. In 2015, Hunan and Sichuan provinces had the highest diversity of NTDs, with 9 and 8 number of different NTDs reported respectively. And the highest disease burden was observed in Sichuan (242,683.46 DALYs), Xizang Zizhiqu (178,318.99 DALYs) and Guangdong (154,228.31 DALYs). The "high-high" clustering areas of NTDs were mainly in China's central and southern regions, as identified by spatial autocorrelation analysis.

CONCLUSIONS:

China has made unremitting efforts in the prevention and control of NTDs, and the disease burden of major NTDs in China has decreased significantly. Using the One Health concept to guide disease prevention and control in the field to effectively save medical resources and achieve precise intervention.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicina Tropical / Doenças Negligenciadas / Análise Espaço-Temporal Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicina Tropical / Doenças Negligenciadas / Análise Espaço-Temporal Idioma: En Ano de publicação: 2024 Tipo de documento: Article