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Publication Years
1072
2669
470
31
2
Category
1545
420
248
239
153
113
33
1
Toolboxes
473
306
262
231
149
148
147
142
130
102
102
82
71
65
63
59
45
44
34
32
30
29
25
21
18
2
1
Rwanda: Ebola Preparedness Emergency Plan of Action (EPoA) Final Report - DREF Operation n° MDRRW017
Eleven (11) districts in Rwanda were initially were considered most at risk of the outbreak, namely:
• Rusizi, Nyamasheke, Karongi, Rutsiro, Rubavu (bordering DRC)
• Musanze, Burera, Gicumbi and Nyagatare (bordering Uganda)
• Kigali city (comprised of 3 localities) due to the presence of Ki
...
gali International Airport.
The National Contingency plan was revised in February 2019 and two districts added to the list (Nyabihu and Nyanza), bring total districts at risk to 13. During the timeframe, the operation, however covered the 11 initial districts.
more
he refugee flow to Ethiopia continued during 2018, with 36,1351 persons seeking safety and protection within the country’s borders. At the start of 2019, the nation hosted 905,8312 thousand refugees who were forced to flee their homes as a result of insecurity, political instability, military cons
...
cription, conflict, famine and other problems in their countries of origin. Ethiopia is one of the largest refugee asylum countries world-wide, and the second largest in Africa, reflecting the ongoing fragility and conflict in the region. Ethiopia provides protection to refugees from some 26 countries. Among the principal factors leading to this situation are predominantly the conflict in South Sudan, the prevailing political environment in Eritrea, together with conflict and draught in Somalia.
more
Accessed: 08.10.2019
This quality standard covers prevention of falls and assessment after a fall in older people (aged 65 and over) who are living in the community or staying in hospital. It describes high-quality care in priority areas for improvement.
The classification of digital health interventions (DHIs) categorizes the different ways in which digital and mobile technologies are being used to support health system needs. Historically, the diverse communities working in digital health—including government stakeholders, technologists, clinic
...
ians, implementers, network operators, researchers, donors— have lacked a mutually understandable language with which to assess and articulate functionality. A shared and standardized vocabulary was recognized as necessary to identify gaps and duplication, evaluate effectiveness, and facilitate alignment across different digital health implementations. Targeted primarily at public health audiences, this Classification framework aims to promote an accessible and bridging language for health program planners to articulate functionalities of digital health implementations.
more
