Sleeping sickness is controlled by case detection and treatment but this often only reaches less than 75% of the population. Vector control is capable of completely interrupting HAT transmission but is not used because of expense. We conducted a full scale field trial of a refined vector control tec...hnology. From preliminary trials we determined the number of insecticidal tiny targets required to control tsetse populations by more than 90%. We then carried out a full scale, 500 km2 field trial covering two HAT foci in Northern Uganda (overall target density 5.7/km2). In 12 months tsetse populations declined by more than 90%. A mathematical model suggested that a 72% reduction in tsetse population is required to stop transmission in those settings. The Ugandan census suggests population density in the HAT foci is approximately 500 per km2. The estimated cost for a single round of active case detection (excluding treatment), covering 80% of the population, is US$433,333 (WHO figures). One year of vector control organised within country, which can completely stop HAT transmission, would cost US$42,700. The case for adding this new method of vector control to case detection and treatment is strong. We outline how such a component could be organised.
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DEMOGRAPHIC AND HEALTH SURVEYS DHS WORKING PAPERS 2015 No. 117
This film is the Luganda version of 'How to plan a pregnancy' - this film was dubbed locally in Uganda, thanks to the Royal College of Paediatrics and Child Health.
This special issue on Newborn Health in Global Health Action is being launched to share the experience of how to scale up a cost-effective package of newborn care that involves families, community health workers and health facilities. The results of this community randomized trial, the Uganda Newbor...n Study (UNEST), show that home visits in pregnancy and soon after delivery resulted in improved breastfeeding practices, skin-to-skin care immediately after birth, delaying a baby’s first bath, and hygienic care of the baby’s umbilical cord among the poorest households with lowest access to care.
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