| D007303 |
Insect Vectors |
Insects that transmit infective organisms from one host to another or from an inanimate reservoir to an animate host. |
Insect Vector,Vector, Insect,Vectors, Insect |
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| D007895 |
Leishmania tropica |
A parasitic hemoflagellate of the subgenus Leishmania leishmania that infects humans and rodents. This taxonomic complex includes species which cause a disease called Oriental sore which is a form of cutaneous leishmaniasis (LEISHMANIASIS, CUTANEOUS) of the Old World. |
Leishmania (Leishmania) tropica,Leishmania tropica minor,Leishmania leishmania tropica,Leishmania tropicas |
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| D010691 |
Phlebotomus |
A genus of PSYCHODIDAE which functions as the vector of a number of pathogenic organisms, including LEISHMANIA DONOVANI; LEISHMANIA TROPICA; Bartonella bacilliformis, and the Pappataci fever virus (SANDFLY FEVER NAPLES VIRUS). |
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| D005060 |
Europe |
The continent north of AFRICA, west of ASIA and east of the ATLANTIC OCEAN. |
Northern Europe,Southern Europe,Western Europe |
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| D006801 |
Humans |
Members of the species Homo sapiens. |
Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man |
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| D000818 |
Animals |
Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. |
Animal,Metazoa,Animalia |
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| D012306 |
Risk |
The probability that an event will occur. It encompasses a variety of measures of the probability of a generally unfavorable outcome. |
Relative Risk,Relative Risks,Risk, Relative,Risks,Risks, Relative |
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| D015233 |
Models, Statistical |
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc. |
Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model |
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| D016773 |
Leishmaniasis, Cutaneous |
An endemic disease that is characterized by the development of single or multiple localized lesions on exposed areas of skin that typically ulcerate. The disease has been divided into Old and New World forms. Old World leishmaniasis is separated into three distinct types according to epidemiology and clinical manifestations and is caused by species of the L. tropica and L. aethiopica complexes as well as by species of the L. major genus. New World leishmaniasis, also called American leishmaniasis, occurs in South and Central America and is caused by species of the L. mexicana or L. braziliensis complexes. |
Leishmaniasis, American,Leishmaniasis, New World,Leishmaniasis, Old World,Oriental Sore,American Leishmaniasis,Cutaneous Leishmaniases,Cutaneous Leishmaniasis,Leishmaniases, Cutaneous,New World Leishmaniasis,Old World Leishmaniasis,Sore, Oriental |
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| D062206 |
Spatial Analysis |
Investigative techniques which measure the topological, geometric, and or geographic properties of the entities studied. |
Kernel Density Estimation,Kriging,Spacial Analysis,Spatial Autocorrelation,Spatial Dependency,Spatial Interpolation,Analyses, Spacial,Analyses, Spatial,Analysis, Spacial,Analysis, Spatial,Autocorrelation, Spatial,Autocorrelations, Spatial,Density Estimation, Kernel,Density Estimations, Kernel,Dependencies, Spatial,Dependency, Spatial,Estimation, Kernel Density,Estimations, Kernel Density,Interpolation, Spatial,Interpolations, Spatial,Kernel Density Estimations,Krigings,Spacial Analyses,Spatial Analyses,Spatial Autocorrelations,Spatial Dependencies,Spatial Interpolations |
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