Veterinary World

 

Open Access

Copyright: The authors. This article is an open access article licensed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0) which permits unrestricted use, distribution and reproduction in any medium, provided the work is properly cited.

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Review (Published online : 14-10-2013)

12. Disease alerts and forecasting of zoonotic diseases: an overview - D. P. Kshirsagar, C. V. Savalia, I. H. Kalyani, Rajeev Kumar and D. N. Nayak

Veterinary World, 6(11): 889-896

 

doi: 10.14202/vetworld.2013.889-896

 

 

 

 

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Abstract

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Epidemiologists are adopting new techniques by the use of Geographical Information System (GIS) to study a variety of animal and zoonotic diseases. Associations between satellite-derived environmental variables such as temperature, humidity, land cover type and vector density is used for disease prediction. Early warning systems rapidly detect the introduction or sudden increase in incidence of any disease of livestock which has the potential to develop into epidemic proportions and/or cause serious socioeconomic consequences or public health concerns. Early warning activities, mainly based on disease surveillance, reporting, and epidemiological analysis, are supported by information systems that enable integration, analysis and sharing of animal health data combined with relevant layers of information such as socioeconomic, production and climatic data. The convergence of factors such as the availability of multi-temporal satellite data and georeferenced epidemiological data, collaboration between scientists, biologists and the availability of sophisticated, statistical GIS creates a fertile research environment. In this paper, we review the Global Early Warning System (GLEWS) that formally brings together human and veterinary public health systems and application of environmental data for study of diseases like avian influenza and Rift valley fever which offers the capability to demonstrate vector-environment relationships and potentially forecast the risk of disease outbreaks or epidemics. An emphasis is also given on components of early warning system and its use for forecasting of animal and zoonotic diseases in India.
Key words: FAO, forecasting, global early warning system, geographical information system, OIE, WHO.

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References

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1. Ackelsberg, J., Balter, S., Bornschelgel, K., Carubis, E., Cherry, B. (2002) Syndromic surveillance for bioterrorism following the attacks on the World Trade Center-New York City, 2001. (MMWR) Morbidity Mortality Weekly Report 51: 13–15.

2. Kulldorff, M., Heffernan, R., Hartman, J., Assunc¸ R., Mostashari, F. (2005) A Space-Time Permutation Scan Statistic for Disease Outbreak Detection PLoS Medicine 2(3):216-224.

3. Epstein, P.R. (2002) Climate Change and Infectious Disease: Stormy Weather Ahead Epidemiology 13(4):373- 375. http://dx.doi.org/10.1097/00001648-200207000-00001

4. Mills, J.N., Kenneth, L., Gage, Khan, A. (2010) Potential Influence of Climate Change on Vector-Borne and Zoonotic Diseases: A Review and Proposed Research Plan, Environmental Health Perspectives 118(11):1507-1513. http://dx.doi.org/10.1289/ehp.0901389 PMid:20576580 PMCid:PMC2974686

5. Gale, P.T., Drew, L., Phipps, P., David, G., Wooldridge, M. (2009) The effect of climate change on the occurrence and prevalence of livestock diseases in Great Britain: a review Journal of Applied Microbiology 106-1409-1423.

6. Thornton. P.K., Van de Steeg, J., Notenbaert, A., Herrero, M. (2009) The impacts of climate change on livestock and livestock systems in developing countries: A review of what we know and what we need to know, Agricultural Systems 101: 113–127. http://dx.doi.org/10.1016/j.agsy.2009.05.002

7. Hay, S.I., Tucker, C.J., Rogers, D.J. and Packer, M.J. (1996) Remotely sensed surrogates of meteorological data for the study of the distribution and abundance of arthropod vectors of disease. Annals of Tropical Medicine and Parasitology. 90:1–19. PMid:8729623

8. Myers, M.F., Rogers, D.J., Cox, J., Flahault, A., Hay, S.I. (2000) Forecasting Disease Risk for Increased Epidemic Preparedness in Public Health. Advances in Parasitology. 47: 309–330. http://dx.doi.org/10.1016/S0065-308X(00)47013-2

9. Ogden, N.H., Bouchard, C., Kurtenbach, K., Margos, G., Lindsay, L.R., Trudel, L. (2010) Active and passive surveillance and phylogenetic analysis of Borrelia burgdorferi elucidate the process of Lyme disease risk emergence in Canada. Environ Health Perspect 118:909–914. http://dx.doi.org/10.1289/ehp.0901766 PMid:20421192 PMCid:PMC2920908

10. Martin, V., Dobschuetz, S., Lemenach, A., Rass, N. Schoustra, W., DeSimone, L. (2007) Early warning, database, and information systems for avian influenza surveillance. Journal of Wildlife Diseases, 43(3): S71–S76.

11. Kalluri, S., Gilruth, P., Rogers, D., Szczur, M. (2007) Surveillance of Arthropod Vector-Borne Infectious Diseases Using Remote Sensing Techniques: A Review PLoS Pathogens 3(10): 1361-1371. http://dx.doi.org/10.1371/journal.ppat.0030116 PMid:17967056 PMCid:PMC2042005

12. Hargrove, W.W., Spruce, J.P., Gasser, G.E., Hoffman, F.M. (2009) Toward a national early warning system for forest disturbances using remotely sensed canopy phenolog. Photogrammetric Engineering & Remote Sensing 75:1150- 1156.

13. Martin, V., Simone, L., Lubroth, J., Ceccato, P., Chevalier, V. (2007) Perspectives on using remotely-sensed imagery in predictive veterinary epidemiology and global early warning systems. Geospatial Health 2(1): 3-14. PMid:18686251

14. Beck, L.R., Lobitz, B.M., Wood, B.L. (2000) Remote sensing and human health: New sensors and new opportunities. Emerging Infectious Diseases 6: 217–226. http://dx.doi.org/10.3201/eid0603.000301 PMid:10827111 PMCid:PMC2640871

15. Grasso, V. and Singh, A. (2011) Early Warning Systems: State-of-Art Analysis and Future Directions. Draft report United Nations Environment Programme (UNEP) 1-10.

16. Farnswortha, M.L., Westb, C.H., Fitchett, S., Newmanb, S.H., Rocqueb, S., Simoneb, L.D., Lubrothb, J. and Pintob, J. (2010) Comparing national and global data collection systems for reporting, outbreaks of H5N1 HPAI Preventive Veterinary Medicine 95:175–185. http://dx.doi.org/10.1016/j.prevetmed.2010.03.012 PMid:20435359

17. WHO (World Health Organization) (2006) Global Early Warning and Response System for Major Animal Diseases, including Zoonoses (GLEWS). Final version adopted by the three organizations tripartite 2006:1-26.

18. WHO (World Health Organization) (2010) Global Early Warning System for Major Animal Diseases, Including Zoonoses (GLEWS). At http://www.who.int/zoonoses/outbreaks/glews/ Accessed on 15th July 2013.

19. OIE (World Organization for Animal Health) (2008) Climate change: the impact on the epidemiology and control of animal diseases Scientific and Technical Review 27(2): 467-84.

20. Food and Agriculture Organization (FAO) (2011) Challenges of animal health information systems and surveillance for animal diseases and zoonoses. Proceedings of the international workshop organized by FAO, 23-26 November 2010, Rome, Italy.

21. OIE (World Organization for Animal Health) (2013) World Animal Health Information System (WAHIS) Available on http://www.oie.int/wahis2/public/index.php/. Accessed on 3rd September 2013.

22. FAO (2002) Towards a global early warning system for animal diseases. EMPRES (Transboundary animal disease bulletin) 20:1.

23. Formenty, P. (2009) When animal disease strikes to human an integrated approach in time and space. Epidemic and Pandemic alert & Response, International meeting on emerging diseases 2009, Vienna, Austria.

24. Ridder, B.A. and Formenty, P. (2011) From Forecasting to Control of Zoonotic Diseases: Linking Animal and Human Systems. Available at http:outbreak@who.int/outbreak network Accessed on 1st June 2012.

25. Jebara, K.B. (2004) Surveillance, detection and response: managing emerging diseases at national and international levels. Rev. sci. tech. Off. int. Epiz. 23 (2):709-715.

26. WHO (World Health Organization) (2013) Zoonoses and Veterinary public health Available at http://www.who.int/zoonoses/outbreaks/glews/en/ Accessed on 10th May, 2013.

27. FAO (Food and Agricultural organization) (2011) Fourth Global Steering Committee Meeting of the Global Framework for the Progressive control of Transboundary animal diseases (GF-TADS GSC4) 18-19 Oct 2011 FAO Headquarters Rome (Italy).

28. FAO-OIE-WHO (2010) The FAO-OIE-WHO Collaboration Sharing responsibilities and coordinating global activities to address health risks at the animal-human-ecosystems interfaces A Tripartite Concept Note. http://www.glews.net/wpcontent/uploads/2011/04/ html Accessed on 15th July 2013.

29. WHO (World Health Organization) (2013) Outbreak surveillance and response in humanitarian emergencies: WHO guidelines for EWARN implementation. Geneva, Switzerland: Available http://www.who.int/diseasecontrol_emergencies/publications html Accessed 30th March, 2013.

30. Ahmed, J., Bouloy, M. Ergonul, O, Fooks, A.R., Paweska, J., Chevalier, V., Drosten,V., Moormann, R., Tordo, N Vatansever, Z., Calistri, P., Estrada-Pria, A., Mirazimi, A., Unger, H., Yin, H., Seitzer, U. (2009) International network for capacity building for the control of emerging viral vector - borne zoonotic diseases: Arbo-zoonet Eurosurveillance 14 (12):1-4.

31. Global Early warning system for major animal diseases including zoonoses (2013) GLEWS disease priority list Available at http: http://www.glews.net Accessed on 10th May 2013.

32. Pinto, J. (2012) The Global Early Warning System for Major Animal Diseases including Zoonoses. One Health-One Planet-One Future-Risk and Opportunities. Davos, Switzerland Global Risk Forum Summit 2012,

33. FAO (Food and Agricultural organization) (2012) Fourth GF-TADS for Europe Steering Committee Meeting (SC4). 26-27 Jan 2012 Brussels (Belgium).

34. Angot, J.L., (2009) The governance of veterinary services and their role in the control of avian influenza. Rev. Sci. Tech. Off. Int. Epiz. 28: 397–400.

35. Martin, V., Sims, J., Lubroth, D., Pfeiffer, J., Slingenber, H, and Domenech, J. (2006) Epidemiology and ecology of highly pathogenic avian influenza with particular emphasis on South East Asia. Developments in Biologicals 124: 23–36.

36. Gilbert, M.X., Xiao, P., Chaitaweesub, W., Kalpravidh, S., Premashthira, S., Boles and Slingenbergh, J. (2007) Avian influenza, domestic ducks and rice agriculture in Thailand. Agriculture, Ecosystems & Environment 119: 409–415. http://dx.doi.org/10.1016/j.agee.2006.09.001 PMid:18418464 PMCid:PMC2311503

37. Davies, G. and Martin, V. (2003) Recognizing Rift Valley fever. FAO Animal Health Manual 17.

38. Linthicum, K.J., Bailey, C.L., Davies, F.G. and Tucker, C.J., (1987) Detection of Rift Valley fever viral activity in Kenya by satellite remote sensing imagery. Science 235: 1656-1659. http://dx.doi.org/10.1126/science.3823909 PMid:3823909

39. Linthicum, K.J., Anyamba, A., Tucker, C.J., Kelley, P.W., Myers, M.F., Peters, C.J. (1999) Climate and satellite indicators to forecast Rift Valley fever epidemics in Kenya. Science 285: 397-400. http://dx.doi.org/10.1126/science.285.5426.397 PMid:10411500

40. Paweska, J., Blumberg, L., Weyer, J., Kemp, A., Leman, P., Archer, B. (2008) Rift Valley fever outbreak in South Africa, NICD-NHLS Communicable Diseases Surveillance Bulletin, 6(2):1-2.

41. CDC (Centers for Disease Control and Prevention). (2010) Climate Change and Public Health. Available: http://www.cdc.gov/nceh/climatechange/ Accessed on 16 June 2013.

42. Girard, J.F. (1997) Sentinel networks: the National Public Health Network. Bulletin of the Academy of National Medicine. 179:919–925.

43. CDC (Centers for Disease Control and Prevention) (2010) Early Warning Disease Surveillance after a Flood Emergency- Pakistan. Morbidity and Mortality Weekly Report 61 (49): 1002-1007.

44. Lafferty, K.D. (2009) The ecology of climate change and infectious diseases. Ecology 90:888-900. http://dx.doi.org/10.1890/08-0079.1 PMid:19449681

45. Heymann, D.L. and Rodier, G.R. (1998) Global surveillance of communicable diseases. Emerging Infectious Diseases. 4:362–365. http://dx.doi.org/10.3201/eid0403.980305 PMid:9716946 PMCid:PMC2640271

46. Childs, J.E. and Gordon, E.R. (2009) Surveillance and Control of Zoonotic Agents Prior to Disease Detection in Humans. Mount Sinai Journal of Medicine, 76: 421-428. http://dx.doi.org/10.1002/msj.20133 PMid:19787654

47. Flahault, A., Dias-Ferrao, V., Chaberty, P., Esteves, K., Valleron, A.J., Lavanchy, D. (1998) Flunet as a tool for global monitoring of influenza on the web. Journal of the American Medical Association. 280:1330–1332. http://dx.doi.org/10.1001/jama.280.15.1330 PMid:9794312

48. Nabarro, D.N. and Tayler, E.M. (1998) The roll back malaria campaign. Science. 280:2067–2068. http://dx.doi.org/10.1126/science.280.5372.2067 PMid:9669961

49. Shalala, D.E. (1998) Collaboration in the fight against infectious diseases. Emerging Infectious Diseases. 4:15–18. http://dx.doi.org/10.3201/eid0403.980302 PMid:9716943

50. Frisen, M. (1992) Evaluation of methods for statistical surveillance. Statistics in Medicine. 11:1489-1502. http://dx.doi.org/10.1002/sim.4780111107 PMid:1410961

51. Livestock and Dairy Development Department (2012) Animal Disease Management -Assessment and Way Forward Punjab Government Efficiency Improvement Programme Crown agents: 7-9.

52. Cox, J.S., Craig, M.H., Le, Sueur, D., Sharp, B. (1999) Mapping Malaria Risk in the Highlands of Africa. MARA/HIMAL Technical Report; Durban.

53. Connor, S.J., Thomson, M.C., Flasse, S.P., Williams, J.B. (1995) The use of low-cost remote sensing and GIS for identifying and monitoring the environmental factors associated with vector borne disease transmission. GIS for Health and the Environment: 75-87.

54. Khan, O.A. (1999) The First International Health Geographics Conference. American Journal of Public Health, 1(2): 55-65.

55. Boone, J.D., Kenneth, C., McGwire, Otteson, E.W., Robert, S., DeBaca, Kuhn, E.A., Villard, P., Brussard, P.F. and Jeor, S.C. (2000) Remote Sensing and Geographic Information Systems: Charting Sin Nombre Virus Infections in Deer Mice, Emerging Infectious Diseases 6(3):248-258. http://dx.doi.org/10.3201/eid0603.000304 PMid:10827114 PMCid:PMC2640872

56. Project Directorate on Animal Disease Monitoring and Surveillance PD_ADMS. (2011) PDADMAS News January-June 2011 1(1): Available on http: www.pdadmas. ernet. Accessed on 18th July 2013.

57. Hemadri, D. and Kumar, G.B. (2013) Vision 2050. Project Directorate on Animal Disease Monitoring & Surveillance, Hebbal, Bengaluru available at http:www.pdadmas.ernet.in Accessed on 18th July 2013.

58. National Animal Disease Referral Expert System NADRES (2011) PDADMAS News January-June 2011. 1(1): Available at http: http://www.nadres.res.in Accessed on 18th July 2013.