Currently, MosquitoMap has 360,531 records,
TickMap has 86,513 records, and SandflyMap has 8,870 records. In addition, there are 8,725 flea records, as well as a smaller but growing number of chigger mite, mite-borne scrub typhus, and host/reservoir records. VectorMap is designed to preserve and make available the results of past
collecting and distribution modeling activity, and to provide a unique resource for exploring possible disease risk factors. The utility of VectorMap will
increase as more records and models are added. Contributions are encouraged,
especially from individuals and organizations with digitized, georeferenced
records and those involved in ongoing mosquito surveillance. VectorMap is
modeled on MosquitoMap - see International
Journal of Health Geographics. For an introduction to georeferencing standards and procedures see Journal of Medical Entomology.
MosquitoMap is useful for:
- informing decisions about where mosquito collection efforts should
- identifying areas relevant to the study of mosquito biogeography,
evolution and biodiversity
- allow predictions about the potential spread of exotic mosquito
- allow predictions about the potential effects of global warming
on mosquito distributions
- allow insights into mosquito community structure, and environmental
and climatic correlates to species occurrence (ecological niche)
- allow continent-wide rather than just local studies of vector-borne
- identifying cryptic evolutionary lineages that differ in geographic
or ecological space.
The Mal-area calculator
A novel enhancement of VectorMap is the Mal-area calculator (MAC) that quantifies
the overlap between vector and pathogen distribution models, and host (human)
population. The co-occurrence of vectors, parasites and hosts are required
for many vector-borne diseases, and the MAC quantifies this co-occurrence
for a given area, thus potentially providing a map and simple index of disease
risk for any area of interest. At the moment the MAC is at the 'proof of concept'
stage, but we plan to roll out an operational version in the near future!
An associated application in preparation is VectorSurv, designed to host
longitudinal survey data for arthropod vectors. Data from trap sites that are routinely
monitored, often over many years, provides a valuable resource for assessing disease transmission risk,
and for identifying the climatic and phenological factors responsible for temporal changes in abundance.
VectorSurv is designed for online input and display of surveillance data.