ERAIZDA: A model for holistic annotation of animal infectious and zoonotic diseases

Database

Volumn 2015, Issue 1, 2015, Pages

  Buza, Teresia M ^a,b   Jack, Sherman W ^a   Kirunda, Halid ^c   Khaitsa, Margaret L ^a   Lawrence, Mark L ^a   Pruett, Stephen ^a   Peterson, Daniel G ^b  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

^c National Livestock Resources Research Institute NaLIRRI   (Uganda)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

ANIMAL; BRUCELLOSIS; COMMUNICABLE DISEASE; DATA BASE; GENETICS; METABOLISM; MOLECULAR GENETICS; SEARCH ENGINE; SOFTWARE; ZOONOSIS;

ANIMALS; BIOMARKERS; BRUCELLOSIS; COMMUNICABLE DISEASES; DATABASES AS TOPIC; MOLECULAR SEQUENCE ANNOTATION; SEARCH ENGINE; SOFTWARE; ZOONOSES;

EID: 84966312153     PISSN: 17580463     EISSN: None     Source Type: Journal    
DOI: 10.1093/database/bav110     Document Type: Article

References (49)

1. Chiolero, A. (2013) Big data in epidemiology: Too big to fail? Epidemiology 24, 938-939.
2. Kao, R. R., Haydon, D. T., Lycett, S. J. et al. (2014) Supersize me: how whole-genome sequencing and big data are transforming epidemiology. Trends Microbiol., 22, 282-291.
3. Mooney, S. J., Westreich, D. J. El-Sayed, A. M. (2015) Commentary: epidemiology in the era of big data. Epidemiology, 26, 390-394.
4. Thorpe, J. H., Gray, E. A. (2015) Big data and public health: navigating privacy laws to maximize potential. Public Health Rep., 130, 171-175.
5. Bourne, P. E. (2015) Confronting the ethical challenges of big data in public health. PLoS Comput. Biol., 11:e1004073.
6. Fung, I. C., Tse, Z. T., Fu, K. W. (2015) Converting Big Data into public health. Science, 347, 620.
7. Heitmueller, A., Henderson, S., Warburton, W. et al. (2014) Developing public policy to advance the use of big data in health care. Health Aff. 33, 1523-1530.
8. Khoury, M. J., Ioannidis, J. P. (2014) Medicine. Big data meets public health. Science, 346, 1054-1055.
9. Williams, R. F., Smith, G. P. (2015) Using "big data" to optimize public health outreach: Answering the call to action. JAMA Dermatol. 151, 367-368.
10. Mikota, S. K., Maslow, J. N. (2011) Tuberculosis at the humananimal interface: An emerging disease of elephants. Tuberculosis, 91, 208-211.
11. Gwida, M., Al Dahouk, S., Melzer, F. et al. (2010) Brucellosis-regionally emerging zoonotic disease? Croat. Med. J., 51, 289-295.
12. Manosuthi, W., Thummakul, T., Vibhagool, A. et al. (2004) Case report: brucellosis: A re-emerging disease in Thailand. Southeast Asian J. Trop. Med. Public Health, 35, 109-112.
13. Clinton, R. M., Carabin, H., Little, S. E. (2010) Emerging zoonoses in the southern United States: Toxocariasis, bovine tuberculosis and southern tick-associated rash illness. Am. J. Med. Sci. 340, 187-193.
14. Russo, G., Pasquali, P., Nenova, R. et al. (2009) Reemergence of human and animal brucellosis, Bulgaria. Emerg. Infect. Dis., 15, 314-316.
15. Anderson, T., Capua, I., Dauphin, G. et al. (2010) FAO-OIEWHO joint technical consultation on avian influenza at the human-animal interface. Influenza Other Respir. Viruses, 4(Suppl 1), 1-29.
16. Setiawaty, V., Dharmayanti, N. L., Misriyah, Pawestri H. A., et al. (2015) Avian Influenza A(H5N1) Virus Outbreak Investigation: Application of the FAO-OIE-WHO Four-way Linking Framework in Indonesia. Zoonoses and public health, 62(5):381-387.
17. Cowen, P., Garland, T., Hugh-Jones, M. E. et al. (2006) Evaluation of ProMED-mail as an electronic early warning system for emerging animal diseases: 1996 to 2004. J. Am. Vet. Med. Assoc., 229, 1090-1099.
18. Zeldenrust, M. E., Rahamat-Langendoen, J. C., Postma, M. J. et al. (2008) The value of ProMED-mail for the Early Warning Committee in the Netherlands: more specific approach recommended. Euro surveillance : bulletin Europeen sur les maladies transmissibles 1/4 European communicable disease bulletin, 13(6).
19. Madoff, L. C., Woodall, J. P. (2005) The internet and the global monitoring of emerging diseases: lessons from the first 10 years of ProMED-mail. Arch. Med. Res., 36, 724-730.
20. Ekiri, A., Kabasa, J. D., Khaitsa, M. L. (2013) International infectious disease management: A case study of internationalizing curricula. North American Colleges and Teachers of Agriculture (NACTA) Journal. (September 2013 special Issue), 74-82.
21. AAVMC. (2007) The foresight report: envisioning the future of veterinary medical education. J. Vet. Med. Educ. 34, 1-42.
22. FAO & OIE. The Global Framework for the Progressive Control of Transboundary Animal Diseases (GF-TADs). http:// www. fao. org/avianflu/documents/GF-TADs24May2004. pdf (28May 2015, date last accessed).
23. Scott, L. E., McCarthy, K., Gous, N. et al. (2011) Comparison of Xpert MTB/RIF with other nucleic acid technologies for diagnosing pulmonary tuberculosis in a high HIV prevalence setting: A prospective study. PLoS Med. 8:e1001061.
24. Yang, Y., Bai, L., Hu, K. X. et al. (2012) Multiplex real-time PCR method for rapid detection of Marburg virus and Ebola virus. Zhonghua shi yan he lin chuang bing du xue za zhi 1/4 Zhonghua shiyan he linchuang bingduxue zazhi 1/4 Chin. J. Exp. Clin. Virol., 26, 313-315.
25. Towner, J. S., Rollin, P. E., Bausch, D. G. et al. (2004) Rapid diagnosis of Ebola hemorrhagic fever by reverse transcription-PCR in an outbreak setting and assessment of patient viral load as a predictor of outcome. J. Virol., 78, 4330-4341.
26. Drosten, C., Gottig, S., Schilling, S. et al. (2002) Rapid detection and quantification of RNA of Ebola and Marburg viruses, Lassa virus, Crimean-Congo hemorrhagic fever virus, Rift Valley fever virus, dengue virus, and yellow fever virus by real-time reverse transcription-PCR. J. Clin. Microbiol., 40, 2323-2330.
27. Kuhn, C., Disque, C., Muhl, H. et al. (2011) Evaluation of commercial universal rRNA gene PCR plus sequencing tests for identification of bacteria and fungi associated with infectious endocarditis. J. Clin. Microbiol., 49, 2919-2923.
28. Aarthi, P., Harini, R., Sowmiya, M. et al. (2011) Identification of bacteria in culture negative and polymerase chain reaction (PCR) positive intraocular specimen from patients with infectious endopthalmitis. J. Microbiol. Methods, 85, 47-52.
29. Mapping of poverty and likely zoonoses hotspots. Zoonoses Project 4, Report to Department for International Development UK. http://r4d. dfid. gov. uk/pdf/outputs/livestock/ZooMapDFID report18June2012FINALsm. pdf (25 May 2015, date last accessed).
30. World Distribution of Brucellosis. http://www. fao. org/ag/ againfo/programmes/en/empres/gemp/avis/B103-brucellosis/ tools/0-geo-world-distribution. html (13 April 2015, date last accessed).
31. Pasick, J., Kahn, S. (2014) The scientific rationale for the World Organisation for Animal Health standards and recommendations on avian influenza. Rev. Sci. Tech., 33, 691-709.
32. Corning, S. (2014) World Organisation for Animal Health: strengthening Veterinary Services for effective One Health collaboration. Rev. Sci. Tech., 33, 639-650.
33. Seven Neglected Endemic Zoonoses-Some Basic Facts. http:// www. who. int/zoonoses/neglected-zoonotic-diseases/en/. (28 May 2015, date last accessed).
34. Wright, A. E., Semple, D. (1897) On the employment of dead bacteria in the serum diagnosis of typhoid and Malta fever, and on an easy method of extemporising a blowpipe flame for making capillary sero-sedimentation tubes. Br. Med. J., 1, 1214-1215.
35. Hughes, M. L. (1896) Note on the endemic fever of the Mediterranean. Med. Chir. Trans., 79, 209-254.
36. Bruce, D. (1893) Notes on Mediterranean or Malta Fever. Br. Med. J., 2(1697): 58-62.
37. Bruce, D. (1891) Note on Malta fever. Br. Med. J., 1, 1281.
38. Godding, C. C. (1891) Malta (remittent) fever. Br. Med. J., 1, 1065-1067.
39. Bruce, D. (1889) Observations on Malta fever. Br. Med. J., 1, 1101-1105.
40. Maclean, W. C. (1876) Sequel to a note on Malta fever. Br. Med. J., 1, 190.
41. Maclean, W. C. (1875) On Malta fever; with a suggestion. Br. Med. J., 2, 224-225.
42. Denmark, A. (1815) Observations on the Mediterranean fever. Med. Chir. Trans., 6, 296-317.
43. Tan, S. Y., Davis, C. (2011) David Bruce (1855-1931): discoverer of brucellosis. Singapore Med. J., 52, 138-139.
44. Federhen, S. (2012) The NCBI taxonomy database. Nucleic Acids Res., 40(Database issue):D136-D143.
45. NCBI Resource Coordinators. (2015) Database resources of the National Center for Biotechnology Information. Nucleic Acids Res., 43(Database issue):D6-D17.
46. VetBioBase: Annotations of animal infectious diseases and biomarkers. http://vetbiobase. igbb. msstate. edu/ (16 October 2015, date last accessed).
47. Fitzgerald, S. D., Schooley, A. M., Berry, D. E. et al. (2010) Antimicrobial susceptibility testing of Mycobacterium bovis isolates from Michigan white-tailed deer during the 2009 hunting season. Vet. Med. Int., 2011, 903683.
48. Barouni, A. S., Augusto, C. J., Lopes, M. T. et al. (2004) A pncA polymorphism to differentiate between Mycobacterium bovis and Mycobacterium tuberculosis. Mol. Cell. Probes, 18, 167-170.
49. Yesilkaya, H., Meacci, F., Niemann, S. et al. (2006) Evaluation of molecular-Beacon, TaqMan, and fluorescence resonance energy transfer probes for detection of antibiotic resistanceconferring single nucleotide polymorphisms in mixed Mycobacterium tuberculosis DNA extracts. J. Clin. Microbiol., 44, 3826-3829.