Kevin Njabo

Approaches to Correlating Vectors and Diseases in Rainforest Cameroon Using Molecular Genetics and Remote Sensing

Kevin and Anton collecting larvae in Ndibi. Note the seed eater nest to the left of picture.

Town/RegionCountryCategoriesDate
AkonolingaCameroonAfrica, Forests, Habitat10 May 2008

A multidisciplinary approach (morphological and molecular) is essential for proper identification of vectors as well as to improve our knowledge on their epidemiological role and transmission biology. The project consists of two major components. The first will involve remote sensing modeling (based of previous results) to identify regions of mature forest and human disturbed areas for intensive field sampling (trapping of vectors with appropriate trapping techniques and preparing of voucher samples).

The second part consists of data analyses (vector identification and blood meal analyses through PCR, microscopy, etc) and inputting field data (presence/absence) into the remote sensing models. The models will be used to predict prevalence and thus 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.

For more information contact kynjabo@hotmail.com

Final Report

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

File DownloadSize
Final Report.doc700.5 KB
Publication: 2009

Read about the findings of this project in the publication below.

File DownloadSize
Malaria Journal.pdf1.33 MB
2nd RSG Grant Awarded

Read about Kevin's latest work http://www.ruffordsmallgrants.org/rsg/projects/kevin_njabo_0


Other Projects in: