MIRO and IRbase: IT Tools for the Epidemiological Monitoring of Insecticide Resistance in Mosquito Disease Vectors

Background Monitoring of insect vector populations with respect to their susceptibility to one or more insecticides is a crucial element of the strategies used for the control of arthropod-borne diseases. This management task can nowadays be achieved more efficiently when assisted by IT (Information Technology) tools, ranging from modern integrated databases to GIS (Geographic Information System). Here we describe an application ontology that we developed de novo, and a specially designed database that, based on this ontology, can be used for the purpose of controlling mosquitoes and, thus, the diseases that they transmit. Methodology/Principal Findings The ontology, named MIRO for Mosquito Insecticide Resistance Ontology, developed using the OBO-Edit software, describes all pertinent aspects of insecticide resistance, including specific methodology and mode of action. MIRO, then, forms the basis for the design and development of a dedicated database, IRbase, constructed using open source software, which can be used to retrieve data on mosquito populations in a temporally and spatially separate way, as well as to map the output using a Google Earth interface. The dependency of the database on the MIRO allows for a rational and efficient hierarchical search possibility. Conclusions/Significance The fact that the MIRO complies with the rules set forward by the OBO (Open Biomedical Ontologies) Foundry introduces cross-referencing with other biomedical ontologies and, thus, both MIRO and IRbase are suitable as parts of future comprehensive surveillance tools and decision support systems that will be used for the control of vector-borne diseases. MIRO is downloadable from and IRbase is accessible at VectorBase, the NIAID-sponsored open access database for arthropod vectors of disease.

[1]  A. Tatem,et al.  The Limits and Intensity of Plasmodium falciparum Transmission : Implications for Malaria Control and Elimination Worldwide , 2007 .

[2]  Lars Eisen,et al.  Use of Google Earth TM to strengthen public health capacity and facilitate management of vector-borne diseases in resource-poor environments , 2008 .

[3]  N. Jonsson,et al.  Progress in the epidemiology and diagnosis of amitraz resistance in the cattle tick Boophilus microplus. , 2007, Veterinary parasitology.

[4]  Giorgio Valle,et al.  The Gene Ontology project in 2008 , 2007, Nucleic Acids Res..

[5]  M. Kulkarni,et al.  Efficacy of pyrethroid‐treated nets against malaria vectors and nuisance‐biting mosquitoes in Tanzania in areas with long‐term insecticide‐treated net use , 2007, Tropical medicine & international health : TM & IH.

[6]  Chris Ullman,et al.  Beginning Ajax , 2007 .

[7]  Michael Darsow,et al.  ChEBI: a database and ontology for chemical entities of biological interest , 2007, Nucleic Acids Res..

[8]  G. Davidson Experiments on the Use of DDT, BHC and Dieldrin Against Adult Mosquitoes at Taveta, Kenya , 1952, Nature.

[9]  A. Barrett Yellow fever vaccines. , 1997, Biologicals : journal of the International Association of Biological Standardization.

[10]  P Topalis,et al.  SHORT NOTE: AnoBase: a genetic and biological database of anophelines , 2005, Insect molecular biology.

[11]  T. Wilkes,et al.  Insecticide-Treated Bed-Nets for Malaria Mosquito Control , 2006, Journal of the American Mosquito Control Association.

[12]  S. Hay,et al.  The Malaria Atlas Project: Developing Global Maps of Malaria Risk , 2006, PLoS medicine.

[13]  M. Rowland,et al.  Insecticide-treated nets. , 2006, Advances in parasitology.

[14]  J. Powell,et al.  Speciation Within Anopheles gambiae-- the Glass Is Half Full , 2002, Science.

[15]  J Hemingway,et al.  Insecticide resistance in insect vectors of human disease. , 2000, Annual review of entomology.

[16]  Adam R Renslo,et al.  Drug discovery and development for neglected parasitic diseases , 2006, Nature chemical biology.

[17]  J. Lines Do agricultural insecticides select for insecticide resistance in mosquitoes? A look at the evidence. , 1988, Parasitology today.

[18]  G. Davidson Results of recent experiments on the use of DDT and BHC against adult mosquitos at Taveta, Kenya. , 1951, Bulletin of the World Health Organization.

[19]  Barry Smith,et al.  Biodynamic ontology: applying BFO in the biomedical domain. , 2004, Studies in health technology and informatics.

[20]  A. Rector,et al.  Relations in biomedical ontologies , 2005, Genome Biology.

[21]  J. W. Wright,et al.  Changing concepts of vector control in malaria eradication. , 1972, Annual review of entomology.

[22]  A. Brown The insecticide-resistance problem: a review of developments in 1956 and 1957. , 1958, Bulletin of the World Health Organization.

[23]  R. Guiguemdé,et al.  Personal protection of long lasting insecticide-treated nets in areas of Anopheles gambiae s.s. resistance to pyrethroids , 2006, Malaria Journal.

[24]  Midori A. Harris,et al.  OBO-Edit - an ontology editor for biologists , 2007, Bioinform..

[25]  A. Lucas,et al.  Research and Training in Tropical Diseases , 1978 .

[26]  P Topalis,et al.  Anatomical ontologies of mosquitoes and ticks, and their web browsers in VectorBase , 2008, Insect molecular biology.

[27]  M. Ashburner,et al.  The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration , 2007, Nature Biotechnology.

[28]  J. Nájera The control of tropical diseases and socioeconomic development (with special reference to malaria and its control). , 1994, Parassitologia.

[29]  M. Coluzzi Malaria and the Afrotropical ecosystems: impact of man-made environmental changes. , 1994, Parassitologia.

[30]  D. Roberts,et al.  Insecticide resistance issues in vector-borne disease control. , 1994, The American journal of tropical medicine and hygiene.

[31]  Flemming Konradsen,et al.  Maps of the Sri Lanka malaria situation preceding the tsunami and key aspects to be considered in the emergency phase and beyond , 2005, Malaria Journal.

[32]  R. Snow,et al.  Impregnated bed nets and curtains against malaria mosquitoes. , 1990 .

[33]  Gregory R. Madey,et al.  VectorBase: a data resource for invertebrate vector genomics , 2008, Nucleic Acids Res..

[34]  K. Indaratna,et al.  Application of geographical information systems to co-analysis of disease and economic resources: dengue and malaria in Thailand. , 1998, The Southeast Asian journal of tropical medicine and public health.

[35]  Evgeny M. Zdobnov,et al.  VectorBase: a home for invertebrate vectors of human pathogens , 2006, Nucleic Acids Res..

[36]  S. Ratanatham,et al.  Current insecticide resistance patterns in mosquito vectors in Thailand. , 1999, The Southeast Asian journal of tropical medicine and public health.