Unlike foot and mouth disease, the avian flu, e-coli or listeria, the COVID-19 pandemic has not spread directly through livestock or agriculture commodities, and has therefore not directly disrupted on-farm production. However, the crisis is undermining the ability of farms and agri-enterprises to e...nsure consistent supplies of food to markets due to enforced closures, labour shortages resulting from illness, and slowdowns in operations caused by physical distancing and lockdowns.
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Transforming Health Systems: Achieving Universal Health Coverage by 2022. The development of the Kenya Health Sector Strategic Plan 2018–2023 is guided by the Constitution of 2010, the Kenya Vision 2030 and the Kenya Health Policy 2014–2030.
This report presents the key findings of the end-of-project assessment of households and
community health volunteers, conducted in 2017 in the Kamukunji and Embakasi sub-counties
of Nairobi, Kenya, for a Community Health Volunteers’ Decision Support System (CHV DSS)
intervention project. The re...port was prepared by the African Population and Health Research
Center (APHRC). The end-line survey was implemented by APHRC. Implementation of the CHV
DSS project is a joint collaboration among several partners, including APHRC, the City County
of Nairobi, sub-county health management teams (Kamukunji and Embakasi), and community
health volunteers. The opinions expressed in this report are those of the authors and do not
necessarily reflect the views of the donor organization, the County Innovation Challenge Fund
for Kenya.
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The Arid and Semi-Arid lands (ASAL) constitute about 80% (467,200 sq. km) of Kenya’s total land mass and is grouped into geographical zones including the Savannah covering most of the North- eastern and South-eastern parts, the Coastal region, the North Rift Valley, the Highlands and the Lake Vict...oria Basin. The ASAL host about 35% of Kenyas population (13 million people) and over 60% of its inhabitants live below the poverty line, subsisting on less than one US dollar per day.
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The Capacity Project worked to strengthen HRIS in several low-resource countries to assist decision-makers and human resources managers in identifying and responding to critical gaps in HRH. The findings and recommendations in this report cover the Capacity Project’s implementation of HRIS in Swaz...iland, Rwanda and Uganda.
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This Case Study explores flood forecasting systems from the perspective of its position within the flood warning process. A method for classifying the different approaches taken in flood forecasting is introduced before the elements of a present-day flood forecasting system are discussed in detail. ...Finally, the state of the art in developing flood forecasting systems is addressed including how to deal with specific challenges posed.
The target group of this case study are decision makers in disaster risk management and/or water management. The case study should help to understand some hydrologic basics of the flood forecast and assist in the administration and implementation of an appropriate flood warning system in a specific environment, to find the best solution for a region.
Best solutions depend mainly on quality and availability of data, the areas and/or points of interest, catchment properties, cross border catchments, and financial capabilities with special consideration of flood forecast.
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