Geographic Information System enabled dengue surveillance system in south zone, Bangalore city: A pilot study

被引:0
|
作者
Ramesh, Naveen [1 ]
Thimmaiah, Venkatesh [2 ,3 ]
Mallaiah, Shivkumar [4 ]
Kandaswamy, Anasuya [4 ]
机构
[1] St Johns Med Coll, Dept Community Hlth, Bangalore 560034, Karnataka, India
[2] Govt Karnataka, Bruhat Bengaluru Mahanagara Palike BBMP, Leprosy, Bangalore, Karnataka, India
[3] Govt Karnataka, Bruhat Bengaluru Mahanagara Palike BBMP, NVBDCP, Bangalore, Karnataka, India
[4] Govt Karnataka, Bruhat Bengaluru Mahanagara Palike BBMP, South Bangalore, India
关键词
Global Information System; Dengue; Surveillance; Vector Indices; Urban Area;
D O I
10.47203/IJCH.2020.v33i01.021
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction: The Public Health Information and Epidemiological Cell (PHIEC) of Bruhat Bengaluru Mahanagara Palike (BBMP) utilizes the Geographic Information System (GIS) enabled integrated surveillance for collection, integration, analysis and reporting of geo-referenced epidemiological diseases in Bangalore city. Dengue fever is an emerging disease and there are minimum studies conducted in India about the GIS enabled dengue surveillance system. Objective: To assess the relationship between dengue cases and vector indices as depicted in the GIS map. Methodology: Data regarding dengue confirmed cases was obtained from PHIEC and entomological surveillance data from Urban Primary Health Centres (UPHC) for May to July 2017 in south zone of Bangalore city and active data collection was done for August and September 2017. Results: There was significant association between the number of dengue cases and the Breteau index in the month of September. However, there was no association between vector indices and the number of cases during the month of October. In some wards, contrary findings were noted between dengue vector indices and number of cases reported. Conclusion: There was a relationship between reported dengue cases and vector indices and there is a need for incorporation of entomological data into GIS system along with epidemiological and intervention data. Involvement of more private and government health care providers may help answer the gap between entomological data and number of dengue cases.
引用
收藏
页码:153 / 160
页数:8
相关论文
共 50 条
  • [1] Application of Geographic Information System to control dengue outbreak in Tainan city, Taiwan 2015
    Wu, Chao-Yen
    Lin, Sheng-Zhe
    Yeh, Chueh-Hui
    [J]. PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS, ENVIRONMENT, BIOTECHNOLOGY AND COMPUTER (MMEBC), 2016, 88 : 1655 - 1657
  • [2] The framework of dynamic marine geographic information system and pilot study
    Shao, QQ
    Zhou, CH
    Li, HG
    Du, YY
    Su, F
    Ji, M
    [J]. IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 2000, : 2126 - 2128
  • [3] Spread Pattern of Dengue Fever Incidence and Used of System Information Geographic Data into Surveillance Activities in Dungingi Subdistrict City of Gorontalo.
    Boekoesoe, Lintje
    [J]. RESEARCH JOURNAL OF PHARMACEUTICAL BIOLOGICAL AND CHEMICAL SCIENCES, 2016, 7 (06): : 1582 - 1591
  • [4] Application of geographic information system in city planning
    [J]. Diqiu Kexue Zhongguo Dizhi Daxue Xuebao, 4 (408-411):
  • [5] Web Geographic Information System of the Luziania City
    dos Santos, Yago Luiz
    de Freitas Filho, Henrique Pereira
    Holanda, Maristela
    [J]. 2016 11TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI), 2016,
  • [6] Study on application techniques of geographic information system in city traffic management
    [J]. 2001, Journal of Nanjing Institute of Posts and Telecommunications (21):
  • [7] Association among house infestation index, dengue incidence, and sociodemographic indicators: surveillance using geographic information system
    Waldemir Paixão Vargas
    Hélia Kawa
    Paulo Chagastelles Sabroza
    Valdenir Bandeira Soares
    Nildimar Alves Honório
    Andréa Sobral de Almeida
    [J]. BMC Public Health, 15
  • [8] Association among house infestation index, dengue incidence, and sociodemographic indicators: surveillance using geographic information system
    Vargas, Waldemir Paixao
    Kawa, Helia
    Sabroza, Paulo Chagastelles
    Soares, Valdenir Bandeira
    Honorio, Nildimar Alves
    de Almeida, Andrea Sobral
    [J]. BMC PUBLIC HEALTH, 2015, 15
  • [9] GEOGRAPHIC INFORMATION SYSTEM OF THE PEDESTRIAN BRIDGES IN MEXICO CITY
    Becerril, L. C.
    Medina, M. Hijar
    Lopez, H. D. R.
    Plascencia, L. H.
    Restrepo, H. Sanchez
    [J]. INJURY PREVENTION, 2010, 16 : A202 - A202
  • [10] Digital City Application based on Geographic Information System
    Ben, Wang
    Hong, Huang
    Yi, Xu
    [J]. 2011 SECOND ETP/IITA CONFERENCE ON TELECOMMUNICATION AND INFORMATION (TEIN 2011), VOL 1, 2011, : 15 - 18