Kevin Njabo

Correlating Vectors and Diseases in the Rainforests of Cameroon Using Molecular Genetics and Remote Sensing

Aedes mcintoshi.

Matt, Kevin, Anton setting a CO2 baited mosquitoe light trap.

Town/RegionCountryCategoriesDate
TibatiCameroonAfrica, Insects12 Aug 2010

A multidisciplinary approach is essential for proper identification of vectors and to improve our knowledge on their epidemiological role and transmission biology.

The project consists of multiple components. The first will involve screening several mosquitoes species collected from different habitats in Cameroon to:

1) identify further potential vectors of diseases

2) document patterns in lineage diversity across the vectors,

3) explore parasite lineages in local vectors and hosts. The second part will involve inputting results (presence/absence) into the remote sensing models.

The models will be used to predict prevalence and provide information about changes in temperature, rainfall, forest fragmentation and greenness over a longitudinal time frame as well as data for cross sectional comparison between habitat types. The models will also be useful in identifying other potential regions of human disturbed areas for intensive field sampling (trapping of vectors with appropriate trapping techniques and preparing of voucher samples).

Read about Kevin's previous work http://www.ruffordsmallgrants.org/rsg/projects/kevin_njabo or for more information contact kynjabo@hotmail.com or visit http://www.ioe.ucla.edu/CTR/staff/njabo.html

Final Report

Read more about the activities undertaken and findings of this project in the final report below.

File DownloadSize
Final Report709 KB
Potential geographic distribution map57 KB

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