Modelling the impact of antimalarial treatment on severe disease
Lead Research Organisation:
Imperial College London
Department Name: School of Public Health
Abstract
Project aim:
To explore patterns of severe disease in different settings and characterise the impact of antimalarial treatment on reducing severe disease and mortality in Africa.
Specific Objectives:
1. To compare the distributions of severe disease manifestations in different transmission settings.
2. To quantify the impact of antimalarial treatment for uncomplicated malaria on preventing progression to severe disease and specific disease phenotypes, give access to current antimalarial drugs, and estimate the number of severe cases averted with improved access to treatment.
3. To explore patterns of drug-specific treatment coverage and treatment failure in different African settings.
4. To estimate effectiveness of current antimalarials in different settings based on the information from household surveys including reported fever prevalence, reported treatment for fever as well as microscopy and RDT diagnosis.
To explore patterns of severe disease in different settings and characterise the impact of antimalarial treatment on reducing severe disease and mortality in Africa.
Specific Objectives:
1. To compare the distributions of severe disease manifestations in different transmission settings.
2. To quantify the impact of antimalarial treatment for uncomplicated malaria on preventing progression to severe disease and specific disease phenotypes, give access to current antimalarial drugs, and estimate the number of severe cases averted with improved access to treatment.
3. To explore patterns of drug-specific treatment coverage and treatment failure in different African settings.
4. To estimate effectiveness of current antimalarials in different settings based on the information from household surveys including reported fever prevalence, reported treatment for fever as well as microscopy and RDT diagnosis.
Organisations
People |
ORCID iD |
| Lucy Okell (Primary Supervisor) |
Publications
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| MR/R502352/1 | 01/10/2017 | 30/09/2021 | |||
| 1982223 | Studentship | MR/R502352/1 | 01/10/2017 | 31/07/2021 |
| Title | Timing of treatment in severe malaria versus uncomplicated malaria patients: individual patient meta-analysis dataset |
| Description | We did a systematic review and requested data from original studies in order to do a individual patient analysis examining the relationship between different types of severe malaria and delayed treatment. This included 3,989 severe malaria cases and 5780 uncomplicated malaria cases. The data were all shared publicly with permission of our co-authors and collaborators. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Discussion with Malaria Consortium about interventions to increase the speed of treatment in their Community Health Worker programmes in countries in Africa. |
| URL | https://doi.org/10.1371/journal.pmed.1003359.s032 |