Disaster Recovery Toolkit
Disaster Recovery Toolkit
Kenya has great potential for enhancing education for individuals with intellectual disabilities. The fact that it has recognized the need to care for learners with special needs is commendable. In comparison to many African countries, Kenya and Nigeria are ahead in developing programs for special e...ducation in institutions of higher learning, and in starting schools and units for special education. However, a legal mandate is still required as it would seal many loopholes that currently exist. Without it, the assessment of individual with intellectual disabilities cannot be administered correctly and professionally. In this article, the authors present a coherent account on various aspects related to learners with intellectual disabilities in Kenya. No doubt, the issues and challenges identified call for attention by not only the government of Kenya but also those interested in improving the status of learners with intellectual disabilities.
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The document summarizes the infrastructure and activities for Ebola virus disease (EVD) preparedness that are already in place in the Gambia and identifies opportunities for improvement to strengthen the nation’s readiness in the event of an EVD incident.
New research published today shows that older, disabled and injured Syrian refugees are paying a double toll as a result of the conflict. The report, released by Handicap International and HelpAge International, provides new data showing how much these vulnerable refugees are struggling to meet thei...r specific needs
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In 2014, the Ministry of Health (MOH) in Malawi conducted a nationwide assessment of emergency obstetric and newborn care (EmONC) services. This cross-sectional facility-based survey used 10 data collection modules. Data collection began on 23rd September 2014 and concluded on 17th October 2014, in ...all 28 districts. Facilities in both the public and private sector (for-profit and not-for-profit) were included. Since the focus of the assessment was obstetric and newborn care, health facilities that did not offer maternal and newborn health (MNH) services were not selected. In all districts, a census of all hospitals and a 60 percent random sample of health centres that ought to have performed deliveries in the previous year yielded a total of 365 facilities: 87 hospitals and 278 health centres. All these facilities were visited during the assessment. During analysis, weighting procedures were applied to extrapolate results to the district and national level, representing all 87 hospitals and 464 health centres. Such weighting was necessary as a stratified random sample of health centres was taken and weighting applied to all indicators and presentations that have health facility as a unit of measurement. Case reviews and provider’s interviews, on the other hand, are not weighted as their sampling strategy is based on convenience.
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