IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p15429-d980004.html
   My bibliography  Save this article

Spatial Effect of Ecological Environmental Factors on Mumps in China during 2014–2018

Author

Listed:
  • Li Wen

    (Department of Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, China
    These authors contributed equally to this work.)

  • Danling Yang

    (Department of Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, China
    These authors contributed equally to this work.)

  • Yanning Li

    (Department of Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, China)

  • Dongjia Lu

    (Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and Control of Highly Prevalent Disease, Nanning 530021, China)

  • Haixia Su

    (Department of Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, China)

  • Mengying Tang

    (Department of Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, China)

  • Xiaokun Song

    (Department of Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, China)

Abstract

(1) Background: although mumps vaccines have been introduced in most countries around the world in recent years, mumps outbreaks have occurred in countries with high vaccination rates. At present, China remains the focus of the global fight against mumps. This study aims to observe the epidemic characteristics and spatial clustering patterns of mumps and to investigate the potential factors affecting the disease incidence, which could provide novel ideas and avenues for future research as well as the prevention and control of mumps. (2) Methods: we used ArcGIS software to visualize the spatial distribution and variation of mumps. Spatial autocorrelation analysis was applied to detect the spatial dependence and clustering patterns of the incidence. We applied the Spatial Durbin Panel Model (SDPM) to explore the spatial associations of ecological environmental factors with mumps. (3) Results: overall, the incidence rate showed a significant upward trend from 2014 to 2018, with the highest number of cases in the 10–15-year age group and from May to June. Geographically, the high incidence clusters were concentrated in southern regions, including Hunan, Hubei, Chongqing, Guizhou, Guangdong, and Guangxi. This study also found that mumps has a positive spatial spillover effect in the study area. The average temperature and GDP of the local and adjacent areas have a significant impact on mumps. The increase in PM2.5 contributes to the rise in the incidence of mumps in this region. (4) Conclusions: these results can offer some novel ideas for policymakers and researchers. Local meteorological conditions and economic levels can extend to surrounding areas to affect the occurrence of mumps, so regional cooperation becomes particularly important. We recommend investment of public health funds in areas with a high incidence of mumps and developing economies to reduce and control the incidence of mumps.

Suggested Citation

  • Li Wen & Danling Yang & Yanning Li & Dongjia Lu & Haixia Su & Mengying Tang & Xiaokun Song, 2022. "Spatial Effect of Ecological Environmental Factors on Mumps in China during 2014–2018," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15429-:d:980004
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/15429/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/23/15429/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuchen Zhu & Dandan Zhang & Yuchen Hu & Chunyu Li & Yan Jia & Kaili She & Tingxuan Liu & Qing Xu & Ying Zhang & Xiujun Li, 2021. "Exploring the Relationship between Mumps and Meteorological Factors in Shandong Province, China Based on a Two-Stage Model," IJERPH, MDPI, vol. 18(19), pages 1-13, October.
    2. Ying Mao & Rongxin He & Bin Zhu & Jinlin Liu & Ning Zhang, 2020. "Notifiable Respiratory Infectious Diseases in China: A Spatial–Temporal Epidemiology Analysis," IJERPH, MDPI, vol. 17(7), pages 1-15, March.
    3. Yanchao Feng & Xiaohong Wang & Wenchao Du & Jun Liu, 2018. "Effects of Air Pollution Control on Urban Development Quality in Chinese Cities Based on Spatial Durbin Model," IJERPH, MDPI, vol. 15(12), pages 1-21, December.
    4. Xueli Wang & Caizhi Sun & Song Wang & Zhixiong Zhang & Wei Zou, 2018. "Going Green or Going Away? A Spatial Empirical Examination of the Relationship between Environmental Regulations, Biased Technological Progress, and Green Total Factor Productivity," IJERPH, MDPI, vol. 15(9), pages 1-23, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yakun Wang & Jingli Jiang & Dongqing Wang & Xinshang You, 2022. "Can Mechanization Promote Green Agricultural Production? An Empirical Analysis of Maize Production in China," Sustainability, MDPI, vol. 15(1), pages 1-24, December.
    2. Lingcai Liu & Dongbei Bai & Shah Fahad & Ilhan Ozturk, 2024. "Does diversified environmental regulation effect the foreign direct investment inflows and technological innovation? A three‐stage least square approach," Growth and Change, Wiley Blackwell, vol. 55(2), June.
    3. Yongliang Yang & Jin Wen & Yi Li, 2020. "The Impact of Environmental Information Disclosure on the Firm Value of Listed Manufacturing Firms: Evidence from China," IJERPH, MDPI, vol. 17(3), pages 1-20, February.
    4. Ren, Siyu & Hao, Yu & Wu, Haitao, 2022. "The role of outward foreign direct investment (OFDI) on green total factor energy efficiency: Does institutional quality matters? Evidence from China," Resources Policy, Elsevier, vol. 76(C).
    5. YuBiao Hao & XueCheng Zhang, 2023. "The impact of environmental regulation on urban green output efficiency: evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 5717-5735, June.
    6. Xu Dong & Yang Chen & Qinqin Zhuang & Yali Yang & Xiaomeng Zhao, 2022. "Agglomeration of Productive Services, Industrial Structure Upgrading and Green Total Factor Productivity: An Empirical Analysis Based on 68 Prefectural-Level-and-Above Cities in the Yellow River Basin," IJERPH, MDPI, vol. 19(18), pages 1-19, September.
    7. Simon K. C. Cheung & Tommy K. Y. Cheung, 2022. "Mixed membership nearest neighbor model with feature difference," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1578-1594, December.
    8. Xi Chen & Zhigang Chen, 2021. "Can China’s Environmental Regulations Effectively Reduce Pollution Emissions?," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
    9. Muyao Li & Jinsong Zhang & Ramakrishnan Ramanathan & Ruiqian Li, 2020. "Opening the Black Box: The Impacts of Environmental Regulations on Technological Innovation," IJERPH, MDPI, vol. 17(12), pages 1-18, June.
    10. Dongdong Lu & Zilong Wang, 2023. "Towards green economic recovery: how to improve green total factor productivity," Economic Change and Restructuring, Springer, vol. 56(5), pages 3163-3185, October.
    11. Hua Yin & Mingyu Li & Yuan Ma & Qiang Zhang, 2019. "The Relationship between Environmental Information Disclosure and Profitability: A Comparison between Different Disclosure Styles," IJERPH, MDPI, vol. 16(9), pages 1-14, May.
    12. Zijie Shen & Liguo Xin, 2022. "Characterizing Carbon Emissions and the Associations with Socio-Economic Development in Chinese Cities," IJERPH, MDPI, vol. 19(21), pages 1-11, October.
    13. Yanwei Lyu & Jinning Zhang & Fei Yang & Di Wu, 2022. "The “Local Neighborhood” Effect of Environmental Regulation on Green Innovation Efficiency: Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    14. Zhou, Di & Yin, Xiaoshuo & Xie, Dongchun, 2023. "Local governments’ environmental targets and green total factor productivity in Chinese cities," Economic Modelling, Elsevier, vol. 120(C).
    15. Weijiang Liu & Mingze Du, 2021. "Is Technological Progress Selective for Multiple Pollutant Emissions?," IJERPH, MDPI, vol. 18(17), pages 1-17, September.
    16. Chong Huang & Kedong Yin & Hongbo Guo & Benshuo Yang, 2022. "Regional Differences and Convergence of Inter-Provincial Green Total Factor Productivity in China under Technological Heterogeneity," IJERPH, MDPI, vol. 19(9), pages 1-20, May.
    17. Jingxue Zhang & Yanchao Feng & Ziyi Zhu, 2022. "Spatio-Temporal Heterogeneity of Carbon Emissions and Its Key Influencing Factors in the Yellow River Economic Belt of China from 2006 to 2019," IJERPH, MDPI, vol. 19(7), pages 1-16, March.
    18. Hong Zhang & Kun Su & Xiaoni Zhong, 2022. "Association between Meteorological Factors and Mumps and Models for Prediction in Chongqing, China," IJERPH, MDPI, vol. 19(11), pages 1-11, May.
    19. Lele Deng & Yajun Han & Jinlong Wang & Haican Liu & Guilian Li & Dayan Wang & Guangxue He, 2023. "Epidemiological Characteristics of Notifiable Respiratory Infectious Diseases in Mainland China from 2010 to 2018," IJERPH, MDPI, vol. 20(5), pages 1-16, February.
    20. Guihuan Yan & Liming Jiang & Chongqing Xu, 2022. "How Environmental Regulation Affects Industrial Green Total Factor Productivity in China: The Role of Internal and External Channels," Sustainability, MDPI, vol. 14(20), pages 1-14, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15429-:d:980004. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.