IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i7p2453-d341189.html
   My bibliography  Save this article

Impact of Climate Variability and Abundance of Mosquitoes on Dengue Transmission in Central Vietnam

Author

Listed:
  • Luong Thi Nguyen

    (International Master/PhD Program in Medicine, College of Medicine, Taipei Medical University, 110 Taipei, Taiwan
    Department of Tropical Diseases, Baichay Hospital, 57000 Quang Ninh, Vietnam)

  • Huy Xuan Le

    (Nha Trang Pasteur Institute, 01000 Khanh Hoa, Vietnam)

  • Dong Thanh Nguyen

    (Department of Vector Control and Border Quarantine, Nha Trang Pasteur Institute, 01000 Khanh Hoa, Vietnam)

  • Ha Quang Ho

    (Department of Vector Control and Border Quarantine, Nha Trang Pasteur Institute, 01000 Khanh Hoa, Vietnam)

  • Ting-Wu Chuang

    (International Master/PhD Program in Medicine, College of Medicine, Taipei Medical University, 110 Taipei, Taiwan
    Department of Molecular Parasitology and Tropical Diseases, School of Medicine, College of Medicine, Taipei Medical University, 110 Taipei, Taiwan)

Abstract

Dengue fever is an important arboviral disease in many countries. Its incidence has increased during the last decade in central Vietnam. Most dengue studies in Vietnam focused on the northern area (Hanoi) and southern regions but not on central Vietnam. Dengue transmission dynamics and relevant environmental risk factors in central Vietnam are not understood. This study aimed to evaluate spatiotemporal patterns of dengue fever in central Vietnam and effects of climatic factors and abundance of mosquitoes on its transmission. Dengue and mosquito surveillance data were obtained from the Department of Vector Control and Border Quarantine at Nha Trang Pasteur Institute. Geographic Information System and satellite remote sensing techniques were used to perform spatiotemporal analyses and to develop climate models using generalized additive models. During 2005–2018, 230,458 dengue cases were reported in central Vietnam. Da Nang and Khanh Hoa were two major hotspots in the study area. The final models indicated the important role of Indian Ocean Dipole, multivariate El Niño-Southern Oscillation index, and vector index in dengue transmission in both regions. Regional climatic variables and mosquito population may drive dengue transmission in central Vietnam. These findings provide important information for developing an early dengue warning system in central Vietnam.

Suggested Citation

  • Luong Thi Nguyen & Huy Xuan Le & Dong Thanh Nguyen & Ha Quang Ho & Ting-Wu Chuang, 2020. "Impact of Climate Variability and Abundance of Mosquitoes on Dengue Transmission in Central Vietnam," IJERPH, MDPI, vol. 17(7), pages 1-16, April.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2453-:d:341189
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/7/2453/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/7/2453/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael A Johansson & Derek A T Cummings & Gregory E Glass, 2009. "Multiyear Climate Variability and Dengue—El Niño Southern Oscillation, Weather, and Dengue Incidence in Puerto Rico, Mexico, and Thailand: A Longitudinal Data Analysis," PLOS Medicine, Public Library of Science, vol. 6(11), pages 1-9, November.
    2. N. H. Saji & B. N. Goswami & P. N. Vinayachandran & T. Yamagata, 1999. "A dipole mode in the tropical Indian Ocean," Nature, Nature, vol. 401(6751), pages 360-363, September.
    3. Yoon Ling Cheong & Katrin Burkart & Pedro J. Leitão & Tobia Lakes, 2013. "Assessing Weather Effects on Dengue Disease in Malaysia," IJERPH, MDPI, vol. 10(12), pages 1-16, November.
    4. Ting-Wu Chuang & Michael C Wimberly, 2012. "Remote Sensing of Climatic Anomalies and West Nile Virus Incidence in the Northern Great Plains of the United States," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-10, October.
    5. David J. Rogers & Sarah E. Randolph & Robert W. Snow & Simon I. Hay, 2002. "Satellite imagery in the study and forecast of malaria," Nature, Nature, vol. 415(6872), pages 710-715, February.
    6. Ting-Wu Chuang & Luis Fernando Chaves & Po-Jiang Chen, 2017. "Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-20, June.
    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. Chathurika Hettiarachchige & Stefan von Cavallar & Timothy Lynar & Roslyn I Hickson & Manoj Gambhir, 2018. "Risk prediction system for dengue transmission based on high resolution weather data," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-17, December.
    2. Ting-Wu Chuang & Luis Fernando Chaves & Po-Jiang Chen, 2017. "Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-20, June.
    3. Mazni Baharom & Norfazilah Ahmad & Rozita Hod & Fadly Syah Arsad & Fredolin Tangang, 2021. "The Impact of Meteorological Factors on Communicable Disease Incidence and Its Projection: A Systematic Review," IJERPH, MDPI, vol. 18(21), pages 1-22, October.
    4. Prasad Liyanage & Hasitha Tissera & Maquins Sewe & Mikkel Quam & Ananda Amarasinghe & Paba Palihawadana & Annelies Wilder-Smith & Valérie R. Louis & Yesim Tozan & Joacim Rocklöv, 2016. "A Spatial Hierarchical Analysis of the Temporal Influences of the El Niño-Southern Oscillation and Weather on Dengue in Kalutara District, Sri Lanka," IJERPH, MDPI, vol. 13(11), pages 1-21, November.
    5. Weiqing Han & Lei Zhang & Gerald A. Meehl & Shoichiro Kido & Tomoki Tozuka & Yuanlong Li & Michael J. McPhaden & Aixue Hu & Anny Cazenave & Nan Rosenbloom & Gary Strand & B. Jason West & Wen Xing, 2022. "Sea level extremes and compounding marine heatwaves in coastal Indonesia," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    6. Monika Punia & Suman Nain & Amit Kumar & Bhupendra Singh & Amit Prakash & Krishan Kumar & V. Jain, 2015. "Analysis of temperature variability over north-west part of India for the period 1970–2000," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 935-952, January.
    7. Nisa Anil & M. R. Ramesh Kumar & R. Sajeev & P. K. Saji, 2016. "Role of distinct flavours of IOD events on Indian summer monsoon," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(2), pages 1317-1326, June.
    8. Michael C. Wimberly & Paolla Giacomo & Lon Kightlinger & Michael B. Hildreth, 2013. "Spatio-Temporal Epidemiology of Human West Nile Virus Disease in South Dakota," IJERPH, MDPI, vol. 10(11), pages 1-19, October.
    9. Kraisak Kesorn & Phatsavee Ongruk & Jakkrawarn Chompoosri & Atchara Phumee & Usavadee Thavara & Apiwat Tawatsin & Padet Siriyasatien, 2015. "Morbidity Rate Prediction of Dengue Hemorrhagic Fever (DHF) Using the Support Vector Machine and the Aedes aegypti Infection Rate in Similar Climates and Geographical Areas," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-16, May.
    10. Akio Kitoh, 2007. "Variability of Indian monsoon-ENSO relationship in a 1000-year MRI-CGCM2.2 simulation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 42(2), pages 261-272, August.
    11. Iskhaq Iskandar & Deni Okta Lestari & Agus Dwi Saputra & Riza Yuliratno Setiawan & Anindya Wirasatriya & Raden Dwi Susanto & Wijaya Mardiansyah & Muhammad Irfan & Rozirwan & Joga Dharma Setiawan & Kun, 2022. "Extreme Positive Indian Ocean Dipole in 2019 and Its Impact on Indonesia," Sustainability, MDPI, vol. 14(22), pages 1-15, November.
    12. Anni Arumsari Fitriany & Piotr J. Flatau & Khoirunurrofik Khoirunurrofik & Nelly Florida Riama, 2021. "Assessment on the Use of Meteorological and Social Media Information for Forest Fire Detection and Prediction in Riau, Indonesia," Sustainability, MDPI, vol. 13(20), pages 1-13, October.
    13. R. S. Akhila & J. Kuttippurath & R. Rahul & A. Chakraborty, 2022. "Genesis and simultaneous occurrences of the super cyclone Kyarr and extremely severe cyclone Maha in the Arabian Sea in October 2019," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(2), pages 1133-1150, September.
    14. Yadav Prasad Joshi & Eun-Hye Kim & Jong-Hun Kim & Ho Kim & Hae-Kwan Cheong, 2016. "Associations between Meteorological Factors and Aseptic Meningitis in Six Metropolitan Provinces of the Republic of Korea," IJERPH, MDPI, vol. 13(12), pages 1-12, November.
    15. Asim Anwar & Noman Khan & Muhammad Ayub & Faisal Nawaz & Asim Shah & Antoine Flahault, 2019. "Modeling and Predicting Dengue Incidence in Highly Vulnerable Countries using Panel Data Approach," IJERPH, MDPI, vol. 16(13), pages 1-8, June.
    16. D. Chiru Naik & Sagar Rohidas Chavan & P. Sonali, 2023. "Incorporating the climate oscillations in the computation of meteorological drought over India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 2617-2646, July.
    17. Pablo Méndez-Lázaro & Frank E. Muller-Karger & Daniel Otis & Matthew J. McCarthy & Marisol Peña-Orellana, 2014. "Assessing Climate Variability Effects on Dengue Incidence in San Juan, Puerto Rico," IJERPH, MDPI, vol. 11(9), pages 1-20, September.
    18. Kavya Johny & Maya L. Pai & S. Adarsh, 2022. "Investigating the multiscale teleconnections of Madden–Julian oscillation and monthly rainfall using time-dependent intrinsic cross-correlation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(2), pages 1795-1822, June.
    19. Nicholas G. Reich & Justin Lessler & Krzysztof Sakrejda & Stephen A. Lauer & Sopon Iamsirithaworn & Derek A. T. Cummings, 2016. "Case Study in Evaluating Time Series Prediction Models Using the Relative Mean Absolute Error," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 285-292, July.
    20. Luis A. Gil-Alana, 2015. "Linear and segmented trends in sea surface temperature data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(7), pages 1531-1546, July.

    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:17:y:2020:i:7:p:2453-:d:341189. 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.