Disease Spectrum Analysis of Oral Cavity and Throat Malignant Tumors in the First People’s Hospital of Yunnan Province from 2012 to 2021Epidemiological Analysis of Head and Neck Malignant Tumors in a Hospital from 2012 to 2021

Fan WANG; Rong ZENG; Mao ZHANG; Yi REN; Hao DING

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Fan WANG, Rong ZENG, Mao ZHANG, Yi REN, Hao DING. Disease Spectrum Analysis of Oral Cavity and Throat Malignant Tumors in the First People’s Hospital of Yunnan Province from 2012 to 2021Epidemiological Analysis of Head and Neck Malignant Tumors in a Hospital from 2012 to 2021[J]. Journal of Kunming Medical University.

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Disease Spectrum Analysis of Oral Cavity and Throat Malignant Tumors in the First People’s Hospital of Yunnan Province from 2012 to 2021Epidemiological Analysis of Head and Neck Malignant Tumors in a Hospital from 2012 to 2021

S1Affiliated Hospital of Kunming University of Science and Technology/The First People’s Hospital of Yunnan Province，Kunming Yunnan 650032，China

Received Date: 2025-04-04

Abstract

Abstract

Objective This study is based on the Bayesian hierarchical spatio-temporal regression model to quantitatively assess the spatio-temporal variation characteristics of the regional incidence risk of head and neck malignancies in Yunnan Province. The aim is to preliminarily explore the epidemiological characteristics and spatial distribution patterns of head and neck malignancies in this region. Method By integrating the clinical data from 9, 854 patients with head and neck malignancies admitted to the First People’ s Hospital of Yunnan Province from January 2012 to December 2021, and innovatively integrating multiple dimensions of covariates such as population age structure, occupational distribution, and ethnic geographical characteristics, the Markov Chain Monte Carlo （MCMC） algorithm was used for parameter estimation, and the high-risk aggregation areas were identified through the spatial relative risk surface. Result （1）Demographic characteristics:The male-to-female ratio was 1∶1.5 （3, 938 males vs. 5, 916 females）, with a broad spectrum of ages at onset （1-95 years, median age 47 years）. Occupational distribution was dominated by farmers （30.85%）, self-employed individuals （23.90%）, and office workers （11.71%）. （2）Spatiotemporal trends: The number of reported cases of head and neck malignant tumors in Yunnan Province increased annually, forming a high-risk dual-core pattern centered on Kunming and Pu'er cities （RR>1.25）. （3） Ethno-geographic features: Among ethnic minorities, the top five in terms of patient numbers were mountain-dwelling minorities: Yi, Hani, Hui, Bai, and Mongol. （4） Environmental gradient effects: The number of reported cases of head and neck malignant tumors showed a decreasing trend with increasing altitude, but an increasing trend with increasing latitude. Conclusion This study initially reveals the epidemiological characteristics of head and neck malignancies in Yunnan Province. These findings provide an important basis for the precise prevention and control of head and neck malignancies in Yunnan Province.
- Malignant tumors in the head and neck region,
- Bayesian spatiotemporal model,
- Geographic epidemiology,
- Risk profile

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