Universal Coverage Sample Clauses

Universal Coverage. The use of LLINs is a highly efficient method of controlling and reducing the mortality and morbidity associated with malaria in endemic areas. Sustained high coverage of LLINs is important to achieve and maintain the reduction of malaria burden (▇▇▇▇▇ et al., 2017; WHO, 2008). WHO has set universal coverage, defined as full coverage with effective vector control, as the goal for all people at risk of malaria (WHO, 2008). Free mass-distribution campaigns are a cost-effective way to quickly achieve high and equitable LLIN coverage in at-risk populations (Zou et al.2014). The mass-distribution campaign evaluated by this study defined ‘universal coverage’ as 80% of all sleeping spaces covered by a designated campaign LLIN. The results of the study indicate that this goal was not achieved by the campaign. The observation showed that LLINs were not equally distributed among households. During the observation, the interviewer noticed that some households received more LLINs in relation to the number of counted sleeping spaces, and some households received fewer LLINs in relation to the number of sleeping spaces in the household. This shows a failure on the part of the campaign to count accurately the number of sleeping spaces per household, especially in those households that use the sleeping spaces for other activities during the day. The proportion of sleeping spaces with a designated campaign LLIN and the proportion of sleeping spaces over which campaign LLINs were found hanging from the ceiling during the survey were very low in this study compared to the study conducted in Sofala province in Mozambique. In that study, it was reported that 81% of sleeping spaces were covered by campaign LLINs and 85% of the population slept in sleeping spaces covered by designated campaign LLINs (▇▇▇▇▇▇▇▇▇ et al., 2014). Also, a study conducted in Sierra Leone six months after a mass-distribution campaign found that when limiting the maximum number of LLINs one household can receive, households with more than five sleeping spaces were less likely to have sufficient LLINs to cover all sleeping spaces (▇▇▇▇▇▇▇ et al., 2012). In this study, the percentage of sleeping space coverage was highest in the Gbadolite health district at 65%, followed by Karawa at 52%, and then Bosobolo at 30%. The high coverage in Gbadolite, could be attributed to the fact that it is the capital of Nord-Ubangi province and majority of households have high education level compare to Bosobolo and Karawa ...