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Spatial and temporal analysis of liver cancer mortality in Yunnan province, China, 2015–2019

Liver cancer is a major public health challenge. Few published studies reported temporal trend and geographical distribution of liver cancer mortality in China, especially in less developed southwest regions with higher liver cancer incidence. In the current study, we obtained liver cancer mortality...

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Autores principales: Feng, Chengcheng, Liu, Jinghua, Ran, Hailiang, Wu, Linxiong, Liang, Xuemeng, Sun, Hao, Xiao, Yuanyuan, Chang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553124/
https://www.ncbi.nlm.nih.gov/pubmed/36238240
http://dx.doi.org/10.3389/fpubh.2022.1010752
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author Feng, Chengcheng
Liu, Jinghua
Ran, Hailiang
Wu, Linxiong
Liang, Xuemeng
Sun, Hao
Xiao, Yuanyuan
Chang, Wei
author_facet Feng, Chengcheng
Liu, Jinghua
Ran, Hailiang
Wu, Linxiong
Liang, Xuemeng
Sun, Hao
Xiao, Yuanyuan
Chang, Wei
author_sort Feng, Chengcheng
collection PubMed
description Liver cancer is a major public health challenge. Few published studies reported temporal trend and geographical distribution of liver cancer mortality in China, especially in less developed southwest regions with higher liver cancer incidence. In the current study, we obtained liver cancer mortality data from population-based death surveillance system in Yunnan province in 2015–2019. The mortality of liver cancer was analyzed by using the joinpoint regression model. The space distribution of liver cancer mortality in 129 counties and districts in Yunnan province was illustrated by using the ArcGIS software. Moran's I method was used to estimate the global and local spatial autocorrelation of liver cancer mortality. Analytical results revealed that from 2015 to 2019, the average mortality rate of liver cancer in Yunnan province was 12.96/100,000, with an average annual growth rate of 6.26% (p < 0.05). Higher liver cancer mortality was found in rural areas and in males. Moreover, people aged 45–50 years experienced a steep increase in liver cancer mortality rate. High-high cluster was mainly consisted of areas with higher hepatitis virus infection rate or severe intravenous drug use problem. Our study results suggest a heavy burden of liver cancer in southwest China Yunnan province. Comprehensive intervention measures need to be developed and implemented.
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spelling pubmed-95531242022-10-12 Spatial and temporal analysis of liver cancer mortality in Yunnan province, China, 2015–2019 Feng, Chengcheng Liu, Jinghua Ran, Hailiang Wu, Linxiong Liang, Xuemeng Sun, Hao Xiao, Yuanyuan Chang, Wei Front Public Health Public Health Liver cancer is a major public health challenge. Few published studies reported temporal trend and geographical distribution of liver cancer mortality in China, especially in less developed southwest regions with higher liver cancer incidence. In the current study, we obtained liver cancer mortality data from population-based death surveillance system in Yunnan province in 2015–2019. The mortality of liver cancer was analyzed by using the joinpoint regression model. The space distribution of liver cancer mortality in 129 counties and districts in Yunnan province was illustrated by using the ArcGIS software. Moran's I method was used to estimate the global and local spatial autocorrelation of liver cancer mortality. Analytical results revealed that from 2015 to 2019, the average mortality rate of liver cancer in Yunnan province was 12.96/100,000, with an average annual growth rate of 6.26% (p < 0.05). Higher liver cancer mortality was found in rural areas and in males. Moreover, people aged 45–50 years experienced a steep increase in liver cancer mortality rate. High-high cluster was mainly consisted of areas with higher hepatitis virus infection rate or severe intravenous drug use problem. Our study results suggest a heavy burden of liver cancer in southwest China Yunnan province. Comprehensive intervention measures need to be developed and implemented. Frontiers Media S.A. 2022-09-27 /pmc/articles/PMC9553124/ /pubmed/36238240 http://dx.doi.org/10.3389/fpubh.2022.1010752 Text en Copyright © 2022 Feng, Liu, Ran, Wu, Liang, Sun, Xiao and Chang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Feng, Chengcheng
Liu, Jinghua
Ran, Hailiang
Wu, Linxiong
Liang, Xuemeng
Sun, Hao
Xiao, Yuanyuan
Chang, Wei
Spatial and temporal analysis of liver cancer mortality in Yunnan province, China, 2015–2019
title Spatial and temporal analysis of liver cancer mortality in Yunnan province, China, 2015–2019
title_full Spatial and temporal analysis of liver cancer mortality in Yunnan province, China, 2015–2019
title_fullStr Spatial and temporal analysis of liver cancer mortality in Yunnan province, China, 2015–2019
title_full_unstemmed Spatial and temporal analysis of liver cancer mortality in Yunnan province, China, 2015–2019
title_short Spatial and temporal analysis of liver cancer mortality in Yunnan province, China, 2015–2019
title_sort spatial and temporal analysis of liver cancer mortality in yunnan province, china, 2015–2019
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553124/
https://www.ncbi.nlm.nih.gov/pubmed/36238240
http://dx.doi.org/10.3389/fpubh.2022.1010752
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