Hostname: page-component-76fb5796d-vfjqv Total loading time: 0 Render date: 2024-04-26T00:42:06.643Z Has data issue: false hasContentIssue false

Lessons Learnt From Exercise Celestial Navigation: The Application of a Geographic Information System to Inform Legionnaires’ Disease Control Activity

Published online by Cambridge University Press:  02 May 2018

Emma Quinn*
Affiliation:
Sydney Local Health District, Public Health Unit, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
Kai Hsiao
Affiliation:
Sydney Local Health District, Public Health Unit, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
George Truman
Affiliation:
Nepean Blue Mountains Local Health District, Public Health Unit, Penrith, New South Wales, Australia
Nectarios Rose
Affiliation:
Communicable Disease Branch, Health Protection NSW, North Sydney, New South Wales, Australia
Richard Broome
Affiliation:
Sydney Local Health District, Public Health Observatory, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
*
Correspondence and reprint requests to Dr Emma Quinn, Public Health Epidemiologist in Biopreparedness, Public Health Unit, Sydney Local Health District Level 9 North, KGV Building, Missenden Road, Camperdown, NSW 2050, Australia (e-mail: Emma.Quinn@health.nsw.gov.au)

Abstract

Geographic information systems (GIS) have emerged in the past few decades as a technology capable of assisting in the control of infectious disease outbreaks. A Legionnaires’ disease cluster investigation in May 2016 in Sydney, New South Wales (NSW), Australia, demonstrated the importance of using GIS to identify at-risk water sources in real-time for field investigation to help control any immediate environmental health risk, as well as the need for more staff trained in the use of this technology. Sydney Local Health District Public Health Unit (PHU) subsequently ran an exercise (based on this investigation) with 11 staff members from 4 PHUs across Sydney to further test staff capability to use GIS across NSW. At least 80% of exercise participants reported that the scenario progression was realistic, assigned tasks were clear, and sufficient data were provided to complete tasks. The exercise highlighted the multitude of geocoding applications and need for inter-operability of systems, as well as the need for trained staff with specific expertise in spatial analysis to help assist in outbreak control activity across NSW. Evaluation data demonstrated the need for a common GIS, regular education and training, and guidelines to support the collaborative use of GIS for infectious disease epidemiology in NSW. (Disaster Med Public Health Preparedness. 2019;13:372–374)

Type
Report from the Field
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Snow, J. On the Mode of Communication of Cholera. London: John Churchill; 1855.Google Scholar
2. Musa, GJ, Chiang, P-H, Sylk, T, et al. Use of GIS mapping as a public health tool-from cholera to cancer. Health Serv Insights. 2013;6:111-116.Google Scholar
3. Smith, CM, Le Comber, SC, Fry, H, Bull, M, Leach, S, Hayward, AC. Spatial methods for infectious disease outbreak investigations: systematic literature review. Euro Surveill. 2015;20(39). https://doi.org/10.2807/1560-7917.ES.2015.20.39.30026.Google Scholar
4. Bull, M, Hall, M, Leach, S, Robesyn, E. The application of geographic information systems and spatial data during Legionnaires disease outbreak responses. Euro Surveill. 2012;17(49). https://doi.org/10.2807/ese.17.49.20331-en.Google Scholar
5. Dowsett, M, Quinn, E, Gupta, L. Legionnaires’ disease cluster investigation in Sydney. Med J Aust. 2017;206(7):325.Google Scholar
6. Quinn, E, Johnstone, T, Najjar, Z, Cains, T. Lessons learned from implementing an incident command system during a local multiagency response to a legionnaires’ disease cluster in Sydney, NSW. Disaster Med Public Health Prep. 2017. https://doi.org/10.1017/dmp.2017.102.Google Scholar
7. NSW Government. Legionnaire’s Disease Control Guideline. Control Guideline for Public Health Units. http://www.health.nsw.gov.au/Infectious/controlguideline/Pages/legion.aspx. Published December 16, 2014. Accessed April 18, 2018.Google Scholar
8. Harris, PA, Taylor, R, Thielke, R, Payne, J, Gonzalez, N, Conde, JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377-381.Google Scholar
9. Carroll, LN, Au, AP, Detwiler, LT, Fu, T-C, Painter, IS, Abernethy, NF. Visualization and analytics tools for infectious disease epidemiology: a systematic review. J Biomed Inform. 2014;51:287-298.Google Scholar
10. Jansà, JM, Caylà, JA, Ferrer, D, et al. An outbreak of Legionnaires’ disease in an inner city district: importance of the first 24 hours in the investigation. Int J Tuberc Lung Dis. 2002;6(9):831-838.Google Scholar
11. Nhavoto, JA, Gronlund, A. Mobile technologies and geographic information systems to improve health care systems: a literature review. JMIR Mhealth Uhealth. 2014;2(2):e21.Google Scholar
13. Dubowitz, T, Williams, M, Steiner, ED, et al. Using geographic information systems to match local health needs with public health services and programs. Am J Public Health. 2011;101(9):1664-1665.Google Scholar
14. Reeder, B, Turner, A, Demiris, G. Use of technology to support information needs for continuity of operations planning in public health: a systematic review. Online J Public Health Inform. 2010;2(1). DOI: 10.5210/ojphi.v2i1.2855.Google Scholar
15. Walser, SM, Gerstner, DG, Brenner, B, Höller, C, Liebl, B, Herr, CEW. Assessing the environmental health relevance of cooling towers--a systematic review of legionellosis outbreaks. Int J Hyg Environ Health. 2014;217(2-3):145-154.Google Scholar