An integrated database on ticks and tick-borne zoonoses in the tropics and subtropics with special reference to developing and emerging countries

Experimental and Applied Acarology

Volumn 54, Issue 1, 2011, Pages 65-83

  Vesco, Umberto ^a   Knap, Nataša ^b   Labruna, Marcelo B ^c   Avšič Županc, Tatjana ^b   Estrada Peña, Agustín ^d   Guglielmone, Alberto A ^e   Bechara, Gervasio H ^f   Gueye, Arona ^g   Lakos, Andras ^h   Grindatto, Anna ^a   Conte, Valeria ^a   de Meneghi, Daniele ^a  

^a UNIVERSITY OF TURIN   (Italy)

^b UNIVERSITY OF LJUBLJANA   (Slovenia)

^c UNIVERSITY OF SÃO PAULO   (Brazil)

^d UNIVERSITY OF ZARAGOZA   (Spain)

^e INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA INTA   (Argentina)

^f SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

^g Institut Senegalais de Recherches AgrEcoles Dakar   (Senegal)

^h Center for Tick borne Diseases   (Hungary)

Author keywords

Animals; Database; Diseases; Geographical distribution; Humans; Ticks

Indexed keywords

BACTERIAL DISEASE; BIBLIOGRAPHY; DATA ACQUISITION; DATABASE; DEVELOPING WORLD; DISEASE INCIDENCE; EPIDEMIOLOGY; GEOGRAPHICAL DISTRIBUTION; HEALTH RISK; INFECTIOUS DISEASE; PUBLIC HEALTH; RISK ASSESSMENT; SPATIAL DATA; TICK;

ANIMAL; ARTICLE; DATA BASE; DEVELOPING COUNTRY; GEOGRAPHY; HUMAN; MICROBIOLOGY; PARASITE VECTOR; TICK; TICK BORNE DISEASE; TROPIC CLIMATE; ZOONOSIS;

ANIMALS; ARACHNID VECTORS; DATABASES AS TOPIC; DEVELOPING COUNTRIES; GEOGRAPHY; HUMANS; TICK-BORNE DISEASES; TICKS; TROPICAL CLIMATE; ZOONOSES;

AFRICA;

ANIMALIA; IXODIDA;

EID: 79953305094     PISSN: 01688162     EISSN: 15729702     Source Type: Journal    
DOI: 10.1007/s10493-010-9414-4     Document Type: Article

References (30)

1. Acha PN, Szyfres B (2003) Zoonoses and communicable diseases common to man and animals. Pan American Health Organization, Washington, DC.
2. Austin MP (2002) Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecol Modell 157(2-3): 101-118.
3. Chapman AD (2005) Principles of data quality. Report for the Global Biodiversity Information Facility, Copenaghen.
4. Craig MH, Sharp BL, Mabaso MLH, Kleinschmidt I (2007) Developing a spatial-statistical model and map of historical malaria prevalence in Botswana using a staged variable selection procedure. Int J Health Geogr 6: 44.
5. Cutler SJ, Bouzid M, Cutler RR (2007) Q fever. J Infect 54(4): 313-318.
6. Dufour B, Hendrikx P (2009) Epidemiological surveillance in animal health, vol Ed. 2. Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Paris.
7. Ergonul O, Whitehouse CA (2007) Crimean-congo hemorrhagic fever. A global perspective. Springer.
8. Estrada-Peña An (2006) Prediction of habitat suitability for ticks. Ann NY Acad Sci 1078(Century of Rickettsiology; Emerging, Reemerging Rickettsioses, Molecular Diagnostics, and Emerging Veterinary Rickettsioses): 275-284.
9. Guerra CA, Hay SI, Lucioparedes LS, Gikandi PW, Tatem AJ, Noor AM, Snow RW (2007) Assembling a global database of malaria parasite prevalence for the Malaria Atlas Project. Malar J 6: 17.
10. Guglielmone AA, Robbins RG, Apanaskevich DA, Petney TN, Estrada-Peña A, Horak IG (2010) The Argasidae, Ixodidae and Nuttalliellidae (acari: Ixodida) of the world: a list of valid species names. Zootaxa 2528: 1-28.
11. Hengl T (2006) Finding the right pixel size. Comput Geosci 32(9): 1283-1298.
12. Hill L (2000) Core elements of digital gazetteers: placenames, categories, and footprints. Res Adv Technol Digit Libr 280-290.
13. Horak IG, Camicas J-L, Keirans JE (2002) The Argasidae, Ixodidae and Nuttalliellidae (acari: Ixodida): a world list of valid tick names. Exp Appl Acarol 28(1-4): 27-54.
14. Hugh-Jones M, Hubbert W, Hagstad H (2000) Zoonoses: recognition, control, and prevention. Iowa State University Press, Iowa.
15. Jensenius M, Parola P, Raoult D (2006) Threats to international travellers posed by tick-borne diseases. Travel Med Infect Dis 4(1): 4-13.
16. Jongejan F, Uilenberg G (2004) The global importance of ticks. Parasitology 129(Suppl): S3-S14.
17. Kitron U (2000) Risk maps: transmission and burden of vector-borne diseases. Parasitol Today 16(8): 324-325.
18. Kjemtrup AM, Conrad PA (2000) Human babesiosis: an emerging tick-borne disease. Int J Parasitol 30(12-13): 1323-1337.
19. Kumar DVRS, Sriram K, Rao KM, Murty US (2005) Management of filariasis using prediction rules derived from data mining. Bioinformation 1(1): 8-11.
20. Labruna MB (2009) Ecology of rickettsia in South America. Ann NY Acad Sci 1166(Rickettsiology and Rickettsial Diseases: Fifth International Conference): 156-166.
21. Larson RR (1996) Geographic information retrieval and spatial browsing. Geographic information systems and libraries: patrons, maps, and spatial information. Clinic on library applications of data processing.
22. Maurin M, Raoult D (1999) Q fever. Clin Microbiol Rev 12(4): 518-553.
23. Moffett A, Strutz S, Guda N, González C, Ferro MC, Sánchez-Cordero V, Sarkar S (2009) A global public database of disease vector and reservoir distributions. PLoS Negl Trop Dis 3(3): e378.
24. Murty US, Kumar DVRS, Sriram K, Rao KM, Bhattacharyulu CHNV, Praveen B, Krishna AR (2005) A web based relational database management system for filariasis control. Bioinformation 1(1): 19-20.
25. Parola P, Davoust B, Raoult D (2005a) Tick- and flea-borne rickettsial emerging zoonoses. Vet Res 36(3): 469-492.
26. Parola P, Paddock CD, Raoult D (2005b) Tick-borne rickettsioses around the world: emerging diseases challenging old concepts. Clin Microbiol Rev 18(4): 719-756.
27. Pearce JL, Boyce MS (2006) Modelling distribution and abundance with presence-only data. J Appl Ecol 43(3): 405-412.
28. Tsoar A, Allouche O, Steinitz O, Rotem D, Kadmon R (2007) A comparative evaluation of presence-only methods for modelling species distribution. Divers Distrib 13(4): 397-405.
29. Vestavik O (2003) Geographic information retrieval: an overview. Department of Computer and Information Science, Norwegian University of Technology and Science, 2004.
30. Zeman P, Lynen G (2006) Evaluation of four modelling techniques to predict the potential distribution of ticks using indigenous cattle infestations as calibration data. Exp Appl Acarol 39(2): 163-176.