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Epidemiological and time series analysis on the incidence and death of Aids and HIV in China

Bibliographic Data

ID15367201
AuthorsBin Xu (0000-0002-0947-2237, Sichuan University, corresponding author), Jiayuan Li (0000-0003-4743-2479, Sichuan University), Mengqiao Wang (0000-0002-3391-7507, Sichuan University)
Year2020
Volume20
Issue1
Pages1906-1906
Publication date2020-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-020-09977-8
PMID33317484
OpenAlexW3112861589
LanguageEN
Citations received13
References cited25

A focused intervention strategy targeting specific regions and age groups is essential for the prevention and control of AIDS/HIV. ARIMA models function as data-driven and evidence-based methods to forecast the trends of infectious diseases and formulate public health policies

Autoregressive integrated moving average · Biostatistics · China · Environmental health · Geography · Incidence (geometry · Pathology · Public health · Statistics · Time series · COVID-19 epidemiological studies · Demography · HIV, Drug Use, Sexual Risk · Influenza Virus Research Studies · Mathematics · Medicine · Epidemiology

  • The Epidemic of Sexually Transmitted Diseases Under the Influence of Covid-19 in China

    Open Access•Xiangyu Yan, Xuechun Wang et al.•Frontiers in Public Health•2021

  • Epidemiology and Clinical Outcomes of HIV Infection in South-Central China

    Open Access•Tingting Yue, Pan Zhang et al.•Frontiers in Public Health•2022

  • Exploring the influence of environmental indicators and forecasting influenza incidence using Arimax models

    Open Access•Xiaoyan Zheng, Qingquan Chen et al.•Frontiers in Public Health•2024

  • Comparison of simulation and predictive efficacy for hemorrhagic fever with renal syndrome incidence in mainland China based on five time series models

    Open Access•ZhenDe Wang, Chunxiao Yang et al.•Frontiers in Public Health•2024

  • Development and comparison of predictive models for sexually transmitted diseases—Aids, gonorrhea, and syphilis in China, 2011–2021

    Open Access•Zhixin Zhu, Xiaoxia Zhu et al.•Frontiers in Public Health•2022

  • The trend of Aids in China

    Open Access•Mimi Zhai, Xianyang Lei et al.•Journal of Global Health•2024

  • Recreational activities and psychological distress during the Covid-19 crisis

    Open Access•Rebecca Dyer Ånensen, Viggo Krüger et al.•BMC Public Health•2025

  • Uncovering spatiotemporal development patterns of Aids in China

    Open Access•Shu-Nan Gui, Xiang Zhang et al.•Health & Place•2024

  • Health-related quality of life of Chinese Aids patients

    Open Access•Pei Wang, Jun-Yang Gao et al.•Quality of Life Research•2022

  • A Combined Model of Sarima and Prophet Models in Forecasting Aids Incidence in Henan Province, China

    Open Access•Zixiao Luo, Xiaocan Jia et al.•International Journal of…•2022

  • Assessing three-decade HIV testing transformation

    Open Access•Sisi Li, Xianyan Tang et al.•BMC Public Health•2025

  • The association between fear of progression and medical coping strategies among people living with HIV

    Open Access•Bing Li, Xiaoli Lin et al.•BMC Public Health•2024

  • Study on the prediction performance of Aids monthly incidence in Xinjiang based on time series and deep learning models

    Open Access•Dandan Tang, Yuanyuan Jin et al.•BMC Public Health•2025

  • The end of Aids

    Open Access•Steven G Deek, Steven G Deeks et al.•The Lancet•2013

  • Epidemiological Features and Forecast Model Analysis for the Morbidity of Influenza in Ningbo, China, 2006–2014

    Open Access•Chunli Wang, Yongdong Li et al.•International Journal of…•2017

  • Characterizing the HIV/Aids Epidemic in the United States and China

    Open Access•Ming‐Bo Huang, Ming-Bo Huang et al.•International Journal of…•2015

Unique citing works13
Citations per year2,6
Citation span2021 - 2025 (5)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 13

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