Coalition for Operational Research on Neglected Tropical Diseases (COR-NTD)

Onchocerciasis LAMP assay to optimize diagnostics and sampling strategies for low-prevalence settings in Cameroon

Primary

1. Can the O-150 LAMP assay be established on whole blood? 2. Can the O-150 qPCR methodology be adapted for human sampling?

Secondary

1. How does the performance of the O-150 LAMP compare to the O-150 qPCR assay?

2. What threshold be used to define positive vs negative results for both assays?

3. Can deep sequencing reveal over potential biomarkers for further investigation?

Countries: Cameroon
Diseases: Onchocerciasis

High-Sensitivity, High-Specificity Biplex Ov16/OVOC3261 Rapid Diagnostic Test

  • An Ov16/OVOC3261 biplex IgG4 test, whereby we are confident that we can provide > 60% sensitivity and 99.8% specificity, as required by the TPP for Onchocerciasis Elimination Mapping.
  • Demonstration that the Ov16/OVOC3261 biplex IgG4 test behaves at least as good with blood as with plasma/serum samples (notably a perceived weakness of the SD Ov16 RDT)
Diseases: Onchocerciasis

Rapid Diagnostic Test For Lymphatic Filariasis Surveillance : Prioritization of Antigen Candidates Complementary to Wb123

The overall goal of this research proposal is to prioritize the five novel Bancroftian antigen candidates with respect to their ease-of-use and practicability within the frame of a future Wb123/WbAgx biplex test, based on their biophysical properties, stability data and behavior in our lateral flow assay setup. Along with the concurrent biochemical/clinical validation by the Nutman group. This will allow an informed choice as to which candidate antigen(s) should be used for the biplex assay development.

Efficient post-elimination surveillance strategies for NTDs

1. Development of spatio-temporal models and associated statistical methods to enable forward projections of the geographical distribution of prevalence, and hence the risk of resurgence, by combining model-based geostatistical analysis with mechanistic predictive modelling of disease transmission dynamics, using the most recent available data on disease prevalence and environmental risk-factors.

2. To use the results from aim 1 to derive statistically efficient and affordable designs for networks of sentinel sites to enable continued monitoring of prevalence in areas at high risk of resurgence."