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Effects of Spatial Characteristics on the Spread of the Highly Pathogenic Avian Influenza (HPAI) in Korea

Author

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  • Meilan An

    (Department of Food Industrial Management, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea)

  • Jeffrey Vitale

    (Department of Agricultural Economics, Oklahoma State University, 418 Ag Hall, Stillwater, OK 74078, USA)

  • Kwideok Han

    (Department of Institutional Research and Analytics, Oklahoma State University, 203 PIO Building, Stillwater, OK 74078, USA)

  • John N. Ng’ombe

    (Department of Agricultural Economics and Extension, University of Zambia, Lusaka 10101, Zambia)

  • Inbae Ji

    (Department of Food Industrial Management, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea)

Abstract

This paper examines the effects of regional characteristics on the spread of the highly pathogenic avian influenza (HPAI) during Korea’s 2016–2017 outbreak. A spatial econometric model is used to determine the effects of regional characteristics on HPAI dispersion using data from 162 counties in Korea. Results indicate the existence of spatial dependence, suggesting that the occurrence of HPAI in a county is significantly influenced by neighboring counties. We found that larger size poultry, including laying hens, breeders, and ducks are significantly associated with a greater incidence of HPAI. Among poultry, we found ducks as the greatest source of the spread of HPAI. Our findings suggest that those regions that are spatially dependent with respect to the spread of HPAI, such as counties that intensively breed ducks, should be the focus of surveillance to prevent future epidemics of HPAI.

Suggested Citation

  • Meilan An & Jeffrey Vitale & Kwideok Han & John N. Ng’ombe & Inbae Ji, 2021. "Effects of Spatial Characteristics on the Spread of the Highly Pathogenic Avian Influenza (HPAI) in Korea," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:4081-:d:534952
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    References listed on IDEAS

    as
    1. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    2. An, Meilan, 2020. "Analysis of HPAI Incidence Factors in Duck Farms Using a Negative Binomial Regression Model," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 43(4), December.
    3. Jun Ho Seok & Hanpil Moon & GwanSeon Kim & Michael R. Reed, 2018. "Is Aging the Important Factor for Sustainable Agricultural Development in Korea? Evidence from the Relationship between Aging and Farm Technical Efficiency," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
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    Cited by:

    1. Kwideok Han & Meilan An & Inbae Ji, 2021. "Analyzing Spatial Dependency of the 2016–2017 Korean HPAI Outbreak to Determine the Effective Culling Radius," IJERPH, MDPI, vol. 18(18), pages 1-12, September.

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