Unit | Health Interventions

The Health Interventions Unit deals with the development and field testing of new health interventions, with a strong focus on malaria. We operate a dual portfolio of service projects and research studies in a number of countries in Africa South of the Sahara (chiefly Tanzania, Ivory Coast and Democratic Republic of Congo) and in Papua New Guinea. Because of the very applied nature of our work, we collaborate extensively with the service departments in the institute. We also interact regularly with the Health Systems Research and Dynamical Modelling Unit, as well as with the Medical Parasitology and Infection Biology (MPI) research groups.

Research

Research work deals with the integration of new interventions into the health system (for example injectable or rectal artesunate for the treatment of severe malaria), doing trials of new vaccine candidates, developing new treatment algorithms for children with fever, improving the monitoring and evaluation of national programmes, and finally developing new vector control tools and testing them in the field. All groups also aim to strengthen capacity in malaria-endemic countries on the basis of institutional collaborative arrangements and formal training courses.

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Selected projects at this location:

Anane-Sarpong E, Wangmo T, Ward C.L, Sankoh O, Tanner M, Elger B.S. "You cannot collect data using your own resources and put it on Open Access": perspectives from Africa about public health data-sharing. Dev World Bioeth. 2017(in press). DOI: 10.1111/dewb.12159

Nahar N et al. A controlled trial to reduce the risk of human Nipah virus exposure in Bangladesh. Ecohealth. 2017(in press). DOI: 10.1007/s10393-017-1267-4

Nahar N et al. A large-scale behavior change intervention to prevent Nipah transmission in Bangladesh: components and costs. BMC Res Notes. 2017;10:225. DOI: 10.1186/s13104-017-2549-1

Keitel K et al. A novel electronic algorithm using host biomarker point-of-care tests for the management of febrile illnesses in Tanzanian children (e-POCT): a randomized, controlled non-inferiority trial. PLoS Med. 2017;14(10):e1002411. DOI: 10.1371/journal.pmed.1002411

Alcoba G et al. A three-step diagnosis of pediatric pneumonia at the emergency department using clinical predictors, C-reactive protein, and pneumococcal PCR. Eur J Pediatr. 2017;176(6):815-824. DOI: 10.1007/s00431-017-2913-0