wangfengyi, wangzhenbo, zhaorenyang, wucaiyan, liuchunli, jiangjunjun. Epidemiological characteristics and incidence trend prediction of HFMD in Liangqing District, Nanning,2012-2023. 2025. biomedRxiv.202504.00006
Epidemiological characteristics and incidence trend prediction of HFMD in Liangqing District, Nanning,2012-2023
Corresponding author: jiangjunjun, 765221811@qq.com
DOI: 10.12201/bmr.202504.00006
- 
							 
								 
									
Abstract: 【】 Objective To analyze the epidemiological and etiological characteristics of hand, foot, and mouth disease (HFMD) in Nanning City, Liangqing District from 2012 to 2023, aiming to provide scientific for effective prevention and control of HFMD . Methods? Descriptive epidemiological methods were used to describe the three distribution characteristics of HFMD,and the SARIMA model was used to predict the incidence trend of HFMD. Results From 2012 to 2023, a total of 19175 cases of HFMD were reported in Nanning City, Liangqing District., with an average reported incidence rate of 387.26 /100,000. The incidence of HFMD in different years had a statistical difference(?2= 6085.585, P<0.01). The highest proportion of reported cases was in urban areas (79.40%). The onset time was mainly concentrated from April to October (88.08%).The incidence was high in the population from 6 months to 5 years old(94.75%),and the majority were scattered children and children in kindergartens (97.38%). A total of 588 laboratory-diagnosed cases were reported from 2012 to2023, with the highest detection rate of other enteroviruses(69.56%)and a relatively low detection rate of EV7l (11.90%).Based on the optimal S ARIMA(2,0,0)(0,0,2)12 model analysis results, a projected decrease in annual incidence rates is expected for both 2024 and 2025compared to that of 2023. Conclusion The incidence of HFMD in Liangqing District, Nanning, is notably high, particularly among children from 6 months to 5 years old. It is recommended to enhance epidemic monitoring, continue pathogen surveillance, improve public education, and raise awareness of disease prevention among the public..
Key words: [keywords missed]Submit time: 4 April 2025
Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity. - 
								
图表
 - 
								
duxuejie, gehui. Study on the design of prediction and early warning model of hand, foot and mouth disease based on BP neural network.. 2021. doi: 10.12201/bmr.202102.00002
XU Jin, MA Guiyan, LI Xiaolin, WANG Lei, A Kezhong. Epidemiological analysis of clinical characteristics of hospitalised cervical cancer patients at a tertiary hospital in Qinghai province, 2018–2023. 2025. doi: 10.12201/bmr.202510.00021
A Kezhong, Xu Jin, Ding Ruiyao, Ma Guiyan, Li Xiaolin, Li Zhen. Epidemiological characterisation of mumps in Qinghai Province, 2013-2022. 2025. doi: 10.12201/bmr.202509.00059
ZHAO JIA, SU XUE MEI. Analysis on the Realization of Core Indicators of the Provincial Coordinated Regional Infectious Disease Surveillance, Early Warning and Emergency Command Information Platform in 2023-2024. 2025. doi: 10.12201/bmr.202505.00028
LI WEI, LI MING, ZHAO JIE, SONG WEI-PING. LI Wei1*, LI Ming2 , ZHAO Jie1,? SONG Wei-ping1. 2025. doi: 10.12201/bmr.202510.00012
Wang yuling. Research Advances in Characteristics and Prediction Models of Delirium in Intensive Care Units?. 2025. doi: 10.12201/bmr.202510.00003
wang nan, li lingyan, yang yanhui, gao fangfang, yang mei, qi aixia, chen liping. Analysis of Detection and Epidemiological Characteristics of Respiratory Pathogens in Children in Zibo from 2020 to 2022. 2025. doi: 10.12201/bmr.202504.00019
TANG Shishi, ZHOU Yi. Research on Hemorrhagic Fever with Renal Syndrome Incidence Prediction Based on the SARIMA-LSTM Model. 2024. doi: 10.12201/bmr.202407.00046
jiang wen. The predictive value of serum ALB, CRP, GLB in recurrent diabetes foot ulcer. 2024. doi: 10.12201/bmr.202410.00061
ZhouMengqian, Tang Tong. Prediction of Lateral Cervical Lymph Node metastasis risk in Thyroid Cancer based on preoperative Lymph Node Ultrasonographic Characteristics. 2024. doi: 10.12201/bmr.202410.00035
 - 
								
ID Submit time Number Download 1 2025-03-04 10.12201/bmr.202504.00006V1
Download  - 
								
 - 
								Public Anonymous To author only
 
Get Citation
Article Metrics
- Read: 374
 - Download: 4
 - Comment: 0
 

Login
Register
	                



京公网安备