Dianne J Terlouw
Biographic Data
| ID | 10971281 |
|---|---|
| NAME | Dianne J Terlouw |
| GIVEN NAMES | Dianne J |
| FAMILY NAME | Terlouw |
| SIGNATURE | TERLOUW D J |
| AFFILIATIONS | University of Liverpool |
| ORCID | 0000-0001-5327-8995 |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Advancing Early Warning Systems for Malaria
Malaria Early Warning Systems (EWS) are predictive tools that often use climatic and other environmental variables to forecast malaria risk and trigger timely interventions. Despite their potential benefits, the development and implementation of malaria EWS face significant challenges and limitations. We reviewed the current evidence on malaria EWS, including their settings, methods, performance, actions, and evaluation. We conducted a comprehens…
No prominent works on this page.
Advancing Early Warning Systems for Malaria
Malaria Early Warning Systems (EWS) are predictive tools that often use climatic and other environmental variables to forecast malaria risk and trigger timely interventions. Despite their potential benefits, the development and implementation of malaria EWS face significant challenges and limitations. We reviewed the current evidence on malaria EWS, including their settings, methods, performance, actions, and evaluation. We conducted a comprehens…
Akaike information criterion (1 work) · Computer Science (1 work) · Early warning system (1 work) · Environmental health (1 work) · Machine learning (1 work) · Malaria (1 work) · Malaria Research and Control (1 work) · Medicine (1 work) · Mosquito-borne diseases and control (1 work) · Psychological intervention (1 work)