Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-12-01T03:04:29.012Z Has data issue: false hasContentIssue false

e-Surveillance in Animal Health: use and evaluation of mobile tools

Published online by Cambridge University Press:  13 April 2012

M. MADDER*
Affiliation:
Vector Biology Group, Department of Biomedical Sciences, Institute of Tropical Medicine, Nationalestraat 155, B-2000 Antwerp, Belgium Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, Onderstepoort, Pretoria, 0110, South Africa
J. G. WALKER
Affiliation:
Visiting scientist, KEMRI/CDC Research and Public Health Collaboration, P.O. Box 1578, Kisumu 40100, Kenya Compton Mentor Fellowship, a program of the Compton Foundation, 101 Montgomery St. Suite 850, San Francisco, CA 94104
J. VAN ROOYEN
Affiliation:
Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, Onderstepoort, Pretoria, 0110, South Africa
D. KNOBEL
Affiliation:
Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, Onderstepoort, Pretoria, 0110, South Africa Visiting scientist, KEMRI/CDC Research and Public Health Collaboration, P.O. Box 1578, Kisumu 40100, Kenya
E. VANDAMME
Affiliation:
Vector Biology Group, Department of Biomedical Sciences, Institute of Tropical Medicine, Nationalestraat 155, B-2000 Antwerp, Belgium
D. BERKVENS
Affiliation:
Vector Biology Group, Department of Biomedical Sciences, Institute of Tropical Medicine, Nationalestraat 155, B-2000 Antwerp, Belgium
S. O. VANWAMBEKE
Affiliation:
Georges Lemaître Centre for Earth and Climate research, Earth and Life Institute, Université catholique de Louvain, place L. Pasteur 3, B-1348 Louvain-la-Neuve, Belgium
E. M. DE CLERCQ
Affiliation:
Georges Lemaître Centre for Earth and Climate research, Earth and Life Institute, Université catholique de Louvain, place L. Pasteur 3, B-1348 Louvain-la-Neuve, Belgium
*
*Corresponding author: [email protected]; +32 3 247 63 97

Summary

In the last decade, mobile technology offered new opportunities and challenges in animal health surveillance. It began with the use of basic mobile phones and short message service (SMS) for disease reporting, and the development of smartphones and other mobile tools has expanded the possibilities for data collection. These tools assist in the collection of data as well as geo-referenced mapping of diseases, and mapping, visualization and identification of vectors such as ticks. In this article we share our findings about new technologies in the domain of animal health surveillance, based on several projects using a wide range of mobile tools, each with their specific applicability and limitations. For each of the tools used, a comprehensive overview is given about its applicability, limitations, technical requirements, cost and also the perception of the users.The evaluation of the tools clearly shows the importance of selecting the appropriate tool depending on the envisaged data to be collected. Accessibility, visualization and cost related to data collection differ significantly among the tools tested. This paper can thus be seen as a practical guide to the currently available tools.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2012

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

REFERENCES

Aanensen, D. M., Huntley, D. M., Feil, E. J., al-Own, F. and Spratt, B. G. (2009). EpiCollect: linking smartphones to web applications for epidemiology, ecology and community data collection. PLoS One 4(9), e6968. doi: 10.1371/journal.pone.0006968.CrossRefGoogle ScholarPubMed
Anon (2005). Livestock Sector Brief. Kenya, Rome:FAO. http://www.fao.org/ag/againfo/resources/en/publications/sector_briefs/lsb_KEN.pdf (Accessed 11 December 2011).Google Scholar
Blycroft. (2008). http://www.africantelecomsnews.com (Accessed 13 December 2011).Google Scholar
DataDyne Group LLC (2011). Pricing. http://www.datadyne.org/episurveyor/pricing (Accessed February 1, 2012).Google Scholar
Madder, M., Adehan, S., De Deken, R., Adehan, R. and Lokossou, R. (2012). New foci of Rhipicephalus microplus in West Africa. Experimental and Applied Acarology 56, 385390. doi: 10.1007/s10493-012-9522-4.CrossRefGoogle ScholarPubMed
Madder, M., Thys, E., Achi, L., Toure, A. and De Deken, R. (2011). Rhipicephalus (Boophilus) microplus: a most successful invasive tick species in West-Africa. Experimental and Applied Acarology 53, 139145. doi:10.1007/s10493-010-9390-8.CrossRefGoogle ScholarPubMed
Madder, M., Thys, E., Geysen, D., Baudoux, C. and Horak, I. (2007). Boophilus microplus ticks found in West Africa. Experimental and Applied Acarology 43, 233234. doi: 10.1007/s10493-007-9110-1.CrossRefGoogle ScholarPubMed
MobileActive.org (2010). https://spreadsheets.google.com/pub?key = 0AgrRSBfpL7rXdGlEMzhBVXdmZ3o5bXdfLVZGVVU0YlE&hl = en&gid = 1 (Accessed 25 January 2012).Google Scholar
OIE (2009). WAHID Interface. http://www.oie.int/wahis/public.php?page=home. (Accessed 25 January 2012).Google Scholar
OIE (2011). Terrestrial Animal Health Code Article 1.4.1. http://www.oie.+=int/fileadmin/Home/eng/Health_standards/tahc/2010/en_chapitre_1.1.4.htm (Accessed 13 December 2011).Google Scholar
Qekwana, N. D., McCrindle, C. M. E. and Masipa, A. (2010). Rapid spatial and temporal outbreak investigations using cell phone technology: a pilot study. Paper presented at the Proceedings of the 9th annual congress of the Southern African Society For Veterinary Epidemiology and Preventive Medicine.Google Scholar
Robertson, C., Sawford, K., Daniel, S. L., Nelson, T. A. and Stephen, C. (2010). Mobile phone-based infectious disease surveillance system, Sri Lanka. Emerging Infectious Diseases 16, 15241531. doi: 10.3201/eid1610.100249.CrossRefGoogle ScholarPubMed
Schuster, C. and Brito, C. P. (2011). Cutting costs, boosting quality and collecting data real-time – Lessons from a cell phone-based beneficiary survey to strengthen Guatemala's Conditional Cash Transfer ProgramEnbreve, 166. http://www.worldbank.org/enbreve (Accessed 13/12/2011).Google Scholar
Shirima, K., Mukasa, O., Schellenberg, J. A., Manzi, F., John, D., Mushi, A., Mrisho, M., Tanner, M., Mshinda, H. and Schellenberg, D. (2007). The use of personal digital assistants for data entry at the point of collection in a large household survey in southern Tanzania. Emerging Themes in Epidemiology 4, 5. doi: 10.1186/1742-7622-4-5.CrossRefGoogle Scholar
World Bank (2008). African Development Indicators (ADI), World Bank.Google Scholar
Yang, C. H., Yang, J., Luo, X. S. and Gong, P. (2009). Use of mobile phones in an emergency reporting system for infectious disease surveillance after the Sichuan earthquake in China. Bulletin of the World Health Organization 87, 619623. doi: 10.2471/BLT.08.060905.CrossRefGoogle Scholar