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

被引：7

作者：

An, Meilan ^{[1
]}

Vitale, Jeffrey ^{[2
]}

Han, Kwideok ^{[3
]}

Ng'ombe, John N. ^{[4
]}

Ji, Inbae ^{[1
]}

机构：

[1] Dongguk Univ, Dept Food Ind Management, 30 Pildong Ro 1 Gil, Seoul 04620, South Korea

[2] Oklahoma State Univ, Dept Agr Econ, 418 Ag Hall, Stillwater, OK 74078 USA

[3] Oklahoma State Univ, Dept Inst Res & Analyt, 203 PIO Bldg, Stillwater, OK 74078 USA

[4] Univ Zambia, Dept Agr Econ & Extens, Lusaka 10101, Zambia

来源：

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH | 2021年 / 18卷 / 08期

关键词：

highly pathogenic avian influenza (HPAI); regional characteristics; spatial dependence; spatial autoregressive model; H5N1; RISK;

D O I：

10.3390/ijerph18084081

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页数：13

共 30 条

[1]

[Anonymous], 1998, Spatial Dependence in Linear Regression Models With an Application to Spatial Econometrics

[2] PROPERTIES OF TESTS FOR SPATIAL DEPENDENCE IN LINEAR-REGRESSION MODELS [J].

ANSELIN, L ;

REY, S .

GEOGRAPHICAL ANALYSIS, 1991, 23 (02) :112-131

[3]

Anselin L, 1988, STUDIES OPERATIONAL, DOI DOI 10.1007/978-94-015-7799-1

[4]

Bivand R. S., 2013, Applied spatial data analysis with R, V2nd

[5]

Bivand R, 2015, J STAT SOFTW, V63, P1

[6]

Eom Chi-Ho, 2017, [Journal of the Korean Association of Geographic Information Studies, 한국지리정보학회지], V20, P60

[7]

Fang Li-Qun, 2005, Zhonghua Liu Xing Bing Xue Za Zhi, V26, P839

[8]

Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1

[9] Adding the spatial dimension to the social network analysis of an epidemic: Investigation of the 2007 outbreak of equine influenza in Australia [J].

Firestone, Simon M. ;

Christley, Robert M. ;

Ward, Michael P. ;

Dhand, Navneet K. .

PREVENTIVE VETERINARY MEDICINE, 2012, 106 (02) :123-135

[10] Free-grazing ducks and highly pathogenic avian influenza, Thailand [J].

Gilbert, M ;

Chaitaweesub, P ;

Parakarnawongsa, T ;

Premashthira, S ;

Tiensin, T ;

Kalpravidh, W ;

Wagner, H ;

Slingenbergh, J .

EMERGING INFECTIOUS DISEASES, 2006, 12 (02) :227-234

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