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In this study, a prospective evaluation of novel malaria diagnostic tools under development will be performed in malaria-endemic countries to assess their clinical performance for detection of malaria at point-of-care (POC). This study aims to support product development efforts and aims to provide early stage (TLR~5) technology developers with valuable information on performance and basic feasibility data that can help to accelerate development.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Novel in vitro diagnostics and medical applications | Diagnostic Test | Novel in vitro diagnostics and medical applications |
| Measure | Description | Time Frame |
|---|---|---|
| Clinical performance assessment | Point estimates of clinical performance characteristics with 95% confidence intervals (sensitivity, specificity, NPV, PPV, and DOR) of nPOC using nPCR as reference for detecting malaria in patients with symptoms suggestive of malaria | up to 6 months |
| Concordance | Point estimate with 95% confidence intervals of the percentage agreement in interpreting malaria diagnostics between the app and visual reading | up to 6 months |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with symptoms suggestive of malaria seeking clinical care in health facilities
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Eijkman Institute for Molecular Biology | Jakarta | 10430 | Indonesia | |||
| Stansile |
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| ID | Term |
|---|---|
| D008288 | Malaria |
| ID | Term |
|---|---|
| D011528 | Protozoan Infections |
| D010272 | Parasitic Diseases |
| D007239 | Infections |
| D000096724 | Mosquito-Borne Diseases |
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| Kigali |
| KG622 |
| Rwanda |
| D000079426 |
| Vector Borne Diseases |