Review

Research progress on the application of “3S” technology in plague prevention and control

Expand
  • 1. Department of Vector Biological Control, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi 330029, China;
    2. Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi 330029, China;
    3. Acute Infectious Disease Prevention Institute, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi 330029, China

Received date: 2023-08-15

  Online published: 2023-12-26

Abstract

Spatial information technology based on the geographic information system (GIS), global navigation satellite system (GNSS), and remote sensing (RS), known as “3S” technology, has the characteristics of wide detection range, massive information, low cost, no limitation by ground conditions, and little influence from human factors. It can realize rapid, mobile, accurate, and reliable collection, processing, and updating of a variety of spatial information and environmental information. As a new technology and means for the study of plague, the “3S” technology has achieved novel and practical research results, showing a very broad prospect for application. This paper introduces the characteristics of “3S” technology, presents the research achievements of the “3S” technology in plague source investigation, risk factor identification, prediction and early warning, and risk assessment, and discusses the prospect of applying the “3S” technology in plague-related research.

Cite this article

HUANG Xing-kui, ZHAO Jun, PAN Huan-hong, XIA Guang-hui, ZHANG Tian-chen . Research progress on the application of “3S” technology in plague prevention and control[J]. Chinese Journal of Vector Biology and Control, 2023 , 34(6) : 824 -827 . DOI: 10.11853/j.issn.1003.8280.2023.06.022

References

[1] Yan ZL,Gao F,He B. Review on the application of 3S technologies in the dynamic evolution of ecological environment at China[J]. Geomatics World,2019,26(2):43-48. DOI:10.3969/j.issn.1672-1586.2019.02.008.(in Chinese) 闫正龙,高凡,何兵. 3S技术在我国生态环境动态演变研究中的应用进展[J]. 地理信息世界,2019,26(2):43-48. DOI:10.3969/j.issn.1672-1586.2019.02.008.
[2] Ceccato P,Ramirez B,Manyangadze T,et al. Data and tools to integrate climate and environmental information into public health[J]. Infect Dis Poverty,2018,7(1):126. DOI:10.1186/s40249-018-0501-9.
[3] Khormi HM,Kumar L. Modeling dengue fever risk based on socioeconomic parameters,nationality and age groups:GIS and remote sensing based case study[J]. Sci Total Environ,2011,409(22):4713-4719. DOI:10.1016/j.scitotenv.2011.08.028.
[4] Wang XY,He J,Yang K,et al. Applications of spatial technology in schistosomiasis control programme in the People’s Republic of China[J]. Adv Parasitol,2016,92:143-163. DOI:10.1016/bs.apar.2016.02.020.
[5] Huang C,Chen XH,Xie F,et al. Application of GIS (geographic information system) in infectious diseases control and prevention[J]. J Pub Health Prev Med,2017,28(1):77-80. (in Chinese) 黄翠,陈晓晖,谢峰,等. GIS在传染病防控方面的应用[J]. 公共卫生与预防医学,2017,28(1):77-80.
[6] Yan D,Shi XM,Cui YR,et al. Application of GPS on plague prevention and control in Hebei province[J]. Chin J Ctrl Endem Dis,2009,24(1):62-64. (in Chinese) 闫东,史献明,崔耀仁,等. GPS在河北省鼠疫防治中的应用探讨[J]. 中国地方病防治杂志,2009,24(1):62-64.
[7] Shi X,Wang FH. Applications of geospatial information technologies in public health[M]. Beijing:Higher Education Press,2016:251-258. (in Chinese) 施迅,王法辉. 地理信息技术在公共卫生与健康领域的应用[M]. 北京:高等教育出版社,2016:251-258.
[8] Eisen L,Eisen RJ. Using geographic information systems and decision support systems for the prediction,prevention,and control of vector-borne diseases[J]. Annu Rev Entomol,2011,56:41-61. DOI:10.1146/annurev-ento-120709-144847.
[9] Lu F. Application of geographic information system in air pollution exposure assessment[J]. J Health Res,2014,43(4):680-684,692. (in Chinese) 路凤. 地理信息系统在空气污染暴露评估中的应用[J]. 卫生研究,2014,43(4):680-684,692.
[10] Ma QQ,Zhang JH,Yang TB. Application of geographic information system to modern medical science[J]. Pract Prev Med,2017,24(7):892-896. DOI:10.3969/j.issn.1006-3110. 2017.07.038.(in Chinese) 马倩倩,张静杭,杨土保. 地理信息系统在现代医学中的应用[J]. 实用预防医学,2017,24(7):892-896. DOI:10.3969/j.issn.1006-3110.2017.07.038.
[11] Shen EL,Zhang W,Yu DZ,et al. Investigation report on plague control in the United States and Peru[J]. Chin J Ctrl Endem Dis,1998,13(1):54-56. (in Chinese) 沈尔礼,张苇,俞东征,等. 关于美国、秘鲁鼠疫防治工作的考察报告[J]. 中国地方病防治杂志,1998,13(1):54-56.
[12] Addink EA,De Jong SM,Davis SA,et al. The use of high-resolution remote sensing for plague surveillance in Kazakhstan[J]. Remote Sens Environ,2010,114(3):674-681. DOI:10. 1016/j.rse.2009.11.015.
[13] Fang J,Zhou FX,Zhang G,et al. The application for new technical to use in plague surveillance of S. dauricus focus[J]. Chin J Ctrl Endem Dis,2008,23(3):192-195. DOI:10.3969/j.issn.1001-1889.2008.03.013.(in Chinese) 房静,周方孝,张贵,等. “3S”技术在达乌尔黄鼠疫源地鼠疫监测中应用[J]. 中国地方病防治杂志,2008,23(3):192-195. DOI:10.3969/j.issn.1001-1889.2008.03.013.
[14] Xu C,Zhang GJ,Zhang YB,et al. Plague epidemic situation and surveillance on geography information system in regions along the Qinghai-Tibet railway[J]. Chin J Endemiol,2008,27(4):464-467. DOI:10.3760/cma.j.issn.1000-4955.2008.04.033.(in Chinese) 徐成,张贵军,张雁冰,等. 青藏铁路沿线鼠疫疫情与监测地理信息系统的应用[J]. 中华地方病学杂志,2008,27(4):464-467. DOI:10.3760/cma.j.issn.1000-4955.2008.04.033.
[15] Yu X. Outline of investigation on plague natural focus of Rhombomys opimus in Junggar Basin,Xinjiang[J]. Endemic Dis Bull,2007,22(2):57-60,67. DOI:10.3969/j.issn.1000-3711. 2007.02.024.(in Chinese) 于心. 新疆准噶尔盆地荒漠大沙鼠鼠疫自然疫源地调查研究概述[J]. 地方病通报,2007,22(2):57-60,67. DOI:10.3969/j.issn.1000-3711.2007.02.024.
[16] Chen L,Zhang GJ. Epidemiological analysis of epidemic at national surveillance sites for plague from 2012 to 2021 [J]. Chin J Ctrl Endem Dis,2023,38(1):63-65. (in Chinese) 陈磊,张贵军. 2012―2021年鼠疫国家级监测点疫情流行病学分析[J]. 中国地方病防治,2023,38(1):63-65.
[17] Yu DZ,Hai R,Cong XB,et al. The 10 most urgent research directions in the field of plague prevention and control[J]. Dis Surveill,2008,23(3):133-136. DOI:10.3784/j.issn.1003-9961. 2008.3.133.(in Chinese) 俞东征,海荣,丛显斌,等. 鼠疫防控领域中最紧迫的10个研究方向[J]. 疾病监测,2008,23(3):133-136. DOI:10.3784/j.issn.1003-9961.2008.3.133.
[18] Fang XY,Xu L,Liu QY,et al. Eco-geographic landscapes of natural plague foci in China Ⅰ. Eco-geographic landscapes of natural plague foci[J]. Chin J Epidemiol,2011,32(12):1232-1236. DOI:10.3760/cma.j.issn.0254-6450.2011.12.012.(in Chinese) 方喜业,许磊,刘起勇,等. 中国鼠疫自然疫源地分型研究Ⅰ. 生态地理景观特征[J]. 中华流行病学杂志,2011,32(12):1232-1236. DOI:10.3760/cma.j.issn.0254-6450.2011.12.012.
[19] Fang XY,Zhou DS,Cui YJ,et al. Eco-geographic landscapes of natural plague foci in China Ⅳ. Characterization of biovars of Yersinia pestis,China[J]. Chin J Epidemiol,2012,33(6):626-629. DOI:10.3760/cma.j.issn.0254-6450.2012.06.019.(in Chinese) 方喜业,周冬生,崔玉军,等. 中国鼠疫自然疫源地分型研究Ⅳ. 鼠疫耶尔森菌生物型生物学特征的探讨[J]. 中华流行病学杂志,2012,33(6):626-629. DOI:10.3760/cma.j.issn.0254-6450.2012.06.019.
[20] Gong ZD,Yu X,Liu QY,et al. Ecological-geographic landscapes of natural plague foci in China Ⅵ. Biological characteristics of natural vectors of Yesinia pestis[J]. Chin J Epidemiol,2012,33(8):818-822. DOI:10.3760/cma.j.issn.0254-6450.2012.08.014.(in Chinese) 龚正达,于心,刘起勇,等. 中国鼠疫自然疫源地分型研究Ⅵ. 鼠疫媒介生物学特征[J]. 中华流行病学杂志,2012,33(8):818-822. DOI:10.3760/cma.j.issn.0254-6450.2012.08.014.
[21] Qin CY,Xu L,Zhang RZ,et al. Ecological-geographic landscapes of natural plague foci in China Ⅴ. Biological characteristics of major natural reservoirs of Yesinia pestis[J]. Chin J Epidemiol,2012,33(7):692-697. DOI:10.3760/cma.j.issn.0254-6450.2012.07.01.(in Chinese) 秦长育,许磊,张荣祖,等. 中国鼠疫自然疫源地分型研究Ⅴ. 鼠疫宿主生物学特征[J]. 中华流行病学杂志,2012,33(7):692-697. DOI:10.3760/cma.j.issn.0254-6450.2012.07.011.
[22] Eisen RJ,Reynolds PJ,Ettestad P,et al. Residence-linked human plague in New Mexico:A habitat-suitability model[J]. Am J Trop Med Hyg,2007,77(1):121-125. DOI:10.4269/ajtmh.2007.77.121.
[23] Zhang JH. The application of 3S technology in the research of plague focus[J]. Zhejiang Prev Med,2011,23(6):30-33. DOI:10.3969/j.issn.1007-0931.2011.06.010.(in Chinese) 张建宏. 3S技术在鼠疫疫源地研究中的应用进展[J]. 浙江预防医学,2011,23(6):30-33. DOI:10.3969/j.issn.1007-0931. 2011.06.010.
[24] Wang LJ,Zhou LZ,Ma Y. Analysis on species richness pattern of plague host rodents and the environmental factor in plague epidemic areas in China[J]. Acta Theriol Sin,2010,30(4):411-417. DOI:10.16829/j.slxb.2010.04.007.(in Chinese) 王丽君,周立志,马勇. 中国鼠疫宿主鼠类丰富度格局及疫区环境因子分析[J]. 兽类学报,2010,30(4):411-417. DOI:10.16829/j.slxb.2010.04.007.
[25] Pham HV,Dang DT,Minh NNT,et al. Correlates of environmental factors and human plague:An ecological study in Vietnam[J]. Int J Epidemiol,2009,38(6):1634-1641. DOI:10.1093/ije/dyp244.
[26] Yan D,Liu GC,Hou ZL,et al. Using two ecological niche models to predict the potential risk of epizootic situation in the foci of Meriones unguiculatus plague[J]. Chin J Vector Biol Control,2020,31(1):12-15. DOI:10.11853/j.issn.1003.8280.2020.01. 003.(in Chinese) 闫东,刘冠纯,候芝林,等. 利用两种生态位模型预测长爪沙鼠鼠疫疫源地动物间疫情潜在风险[J]. 中国媒介生物学及控制杂志,2020,31(1):12-15. DOI:10.11853/j.issn.1003.8280. 2020.01.003.
[27] Kausrud KL,Begon M,Ben Ari T,et al. Modeling the epidemiological history of plague in Central Asia:Palaeoclimatic forcing on a disease system over the past millennium[J]. BMC Biol,2010,8:112. DOI:10.1186/1741-7007-8-112.
[28] Wu H, Wu H, Wang Y, et al. Analysis of Himalayan marmot distribution and plague risk in Qinghai province of China using the “3S” technology. Sci Rep, 2023,13(1):1924. DOI: 10.1038/s41598-023-28414-5.
[29] Holt AC,Salkeld DJ,Fritz CL,et al. Spatial analysis of plague in California:Niche modeling predictions of the current distribution and potential response to climate change[J]. Int J Health Geogr,2009,8:38. DOI:10.1186/1476-072x-8-38.
[30] Eisen RJ,Enscore RE,Biggerstaff BJ,et al. Human plague in the southwestern United States,1957-2004:Spatial models of elevated risk of human exposure to Yersinia pestis[J]. J Med Entomol,2007,44(3):530-537. DOI:10.1093/jmedent/44.3.530.
[31] ChaiXZ. The application of “3S” technology on plague monitoring in Jianchuan region[D]. Dali:Dali University,2012. (in Chinese) 柴旭泽. “3S”技术在剑川齐氏姬鼠、大绒鼠野鼠鼠疫疫源地监测中的应用[D]. 大理:大理学院,2012.
Options
Outlines

/