IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i1p290-d473937.html
   My bibliography  Save this article

Spatiotemporal Distribution of Zika Virus and Its Spatially Heterogeneous Relationship with the Environment

Author

Listed:
  • Jie Li

    (State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Kun Jia

    (State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Yanxu Liu

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Bo Yuan

    (State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Mu Xia

    (State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Wenwu Zhao

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

Abstract

Infectious diseases have caused some of the most feared plagues and greatly harmed human health. However, despite the qualitative understanding that the occurrence and diffusion of infectious disease is related to the environment, the quantitative relations are unknown for many diseases. Zika virus (ZIKV) is a mosquito-borne virus that poses a fatal threat and has spread explosively throughout the world, impacting human health. From a geographical perspective, this study aims to understand the global hotspots of ZIKV as well as the spatially heterogeneous relationship between ZIKV and environmental factors using exploratory special data analysis (ESDA) model. A geographically weighted regression (GWR) model was used to analyze the influence of the dominant environmental factors on the spread of ZIKV at the continental scale. The results indicated that ZIKV transmission had obvious regional and seasonal heterogeneity. Population density, GDP per capita, and landscape fragmentation were the dominant environmental factors affecting the spread of ZIKV, which indicates that social factors had a greater influence than natural factors on the spread of it. As SARS-CoV-2 is spreading globally, this study can provide methodological reference for fighting against the pandemic.

Suggested Citation

  • Jie Li & Kun Jia & Yanxu Liu & Bo Yuan & Mu Xia & Wenwu Zhao, 2021. "Spatiotemporal Distribution of Zika Virus and Its Spatially Heterogeneous Relationship with the Environment," IJERPH, MDPI, vol. 18(1), pages 1-14, January.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:1:p:290-:d:473937
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/1/290/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/1/290/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:pal:palcom:v:2016:y:2016:i:palcomms201660:p:16060- is not listed on IDEAS
    2. Jason R. Rohr & Christopher B. Barrett & David J. Civitello & Meggan E. Craft & Bryan Delius & Giulio A. DeLeo & Peter J. Hudson & Nicolas Jouanard & Karena H. Nguyen & Richard S. Ostfeld & Justin V. , 2019. "Emerging human infectious diseases and the links to global food production," Nature Sustainability, Nature, vol. 2(6), pages 445-456, June.
    3. Kate E. Jones & Nikkita G. Patel & Marc A. Levy & Adam Storeygard & Deborah Balk & John L. Gittleman & Peter Daszak, 2008. "Global trends in emerging infectious diseases," Nature, Nature, vol. 451(7181), pages 990-993, February.
    4. Sahotra Sarkar & Lauren Gardner, 2016. "Zika: the cost of neglect," Palgrave Communications, Palgrave Macmillan, vol. 2(1), pages 1-6, December.
    5. Daniel P. McMillen, 2004. "Geographically Weighted Regression: The Analysis of Spatially Varying Relationships," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 554-556.
    6. Daniel Aiham Ghazali & Maximilien Guericolas & Frédéric Thys & François Sarasin & Pedro Arcos González & Enrique Casalino, 2018. "Climate Change Impacts on Disaster and Emergency Medicine Focusing on Mitigation Disruptive Effects: an International Perspective," IJERPH, MDPI, vol. 15(7), pages 1-13, July.
    7. Camille Parmesan & Gary Yohe, 2003. "A globally coherent fingerprint of climate change impacts across natural systems," Nature, Nature, vol. 421(6918), pages 37-42, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Krzysztof Rząsa & Mateusz Ciski, 2022. "Influence of the Demographic, Social, and Environmental Factors on the COVID-19 Pandemic—Analysis of the Local Variations Using Geographically Weighted Regression," IJERPH, MDPI, vol. 19(19), pages 1-26, September.

    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. Haozhe Zhang & Jinyi Li, 2024. "Mapping the urban and rural planning response paths to pandemics of infectious diseases," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    2. World Bank, 2022. "Putting Pandemics Behind Us," World Bank Publications - Reports 38200, The World Bank Group.
    3. Rivera-Ferre, Marta G. & López-i-Gelats, Feliu & Ravera, Federica & Oteros-Rozas, Elisa & di Masso, Marina & Binimelis, Rosa & El Bilali, Hamid, 2021. "The two-way relationship between food systems and the COVID19 pandemic: causes and consequences," Agricultural Systems, Elsevier, vol. 191(C).
    4. Pueyo, Salvador, 2020. "Jevons' paradox and a tax on aviation to prevent the next pandemic," SocArXiv vb5q3_v1, Center for Open Science.
    5. Jianhua Wang & Guan-Zhu Han, 2023. "Genome mining shows that retroviruses are pervasively invading vertebrate genomes," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    6. Ivan Montiel & Junghoon Park & Bryan W. Husted & Andres Velez-Calle, 2022. "Tracing the connections between international business and communicable diseases," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(8), pages 1785-1804, October.
    7. Pueyo, Salvador, 2020. "Jevons' paradox and a tax on aviation to prevent the next pandemic," SocArXiv vb5q3, Center for Open Science.
    8. Nikolett Orosz & Tünde Tóthné Tóth & Gyöngyi Vargáné Gyuró & Zsoltné Tibor Nábrádi & Klára Hegedűsné Sorosi & Zsuzsa Nagy & Éva Rigó & Ádám Kaposi & Gabriella Gömöri & Cornelia Melinda Adi Santoso & A, 2022. "Comparison of Length of Hospital Stay for Community-Acquired Infections Due to Enteric Pathogens, Influenza Viruses and Multidrug-Resistant Bacteria: A Cross-Sectional Study in Hungary," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    9. Richard Tol, 2011. "Regulating knowledge monopolies: the case of the IPCC," Climatic Change, Springer, vol. 108(4), pages 827-839, October.
    10. Ding, Yimin & Wang, Weiguang & Song, Ruiming & Shao, Quanxi & Jiao, Xiyun & Xing, Wanqiu, 2017. "Modeling spatial and temporal variability of the impact of climate change on rice irrigation water requirements in the middle and lower reaches of the Yangtze River, China," Agricultural Water Management, Elsevier, vol. 193(C), pages 89-101.
    11. Francesca Pilotto & Ingolf Kühn & Rita Adrian & Renate Alber & Audrey Alignier & Christopher Andrews & Jaana Bäck & Luc Barbaro & Deborah Beaumont & Natalie Beenaerts & Sue Benham & David S. Boukal & , 2020. "Meta-analysis of multidecadal biodiversity trends in Europe," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    12. World Bank, 2024. "Toward a One Health Approach in Sudan," World Bank Publications - Reports 41580, The World Bank Group.
    13. Ceddia, M.G. & Bardsley, N.O. & Goodwin, R. & Holloway, G.J. & Nocella, G. & Stasi, A., 2013. "A complex system perspective on the emergence and spread of infectious diseases: Integrating economic and ecological aspects," Ecological Economics, Elsevier, vol. 90(C), pages 124-131.
    14. Hao Wang & Guohua Liu & Zongshan Li & Xin Ye & Bojie Fu & Yihe Lü, 2017. "Analysis of the Driving Forces in Vegetation Variation in the Grain for Green Program Region, China," Sustainability, MDPI, vol. 9(10), pages 1-14, October.
    15. Fabina, Nicholas S. & Abbott, Karen C. & Gilman, R.Tucker, 2010. "Sensitivity of plant–pollinator–herbivore communities to changes in phenology," Ecological Modelling, Elsevier, vol. 221(3), pages 453-458.
    16. Livia Marchetti & Valentina Cattivelli & Claudia Cocozza & Fabio Salbitano & Marco Marchetti, 2020. "Beyond Sustainability in Food Systems: Perspectives from Agroecology and Social Innovation," Sustainability, MDPI, vol. 12(18), pages 1-24, September.
    17. Christina Kassara & Christos Barboutis & Anastasios Bounas, 2025. "Favorable stopover sites and fuel load dynamics of spring bird migrants under a changing climate," Climatic Change, Springer, vol. 178(1), pages 1-19, January.
    18. Portalier, S.M.J. & Candau, J.-N. & Lutscher, F., 2024. "Larval mortality from phenological mismatch can affect outbreak frequency and severity of a boreal forest defoliator," Ecological Modelling, Elsevier, vol. 493(C).
    19. Maxwell B Joseph & William E Stutz & Pieter T J Johnson, 2016. "Multilevel Models for the Distribution of Hosts and Symbionts," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-15, November.
    20. Laure Bonnaud & Nicolas Fortané, 2017. "Serge Morand and Muriel Figuié (eds), 2016, Emergence de maladies infectieuses. Risques et enjeux de société (The emergence of infectious diseases. Societal risks and stakes)," Review of Agricultural, Food and Environmental Studies, Springer, vol. 98(3), pages 225-228, December.

    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:18:y:2021:i:1:p:290-:d:473937. 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.