Hepatitis C Virus (HCV) has a major impact on quality of life and can cause patients significant distress. The effects of Hepatitis C on families, work environments, and on society as a whole, are impressive, of particular concern loss of productivity in the workforce, increased tension and stress in the family and potential decreases in quality of life.
In Egypt, a World Bank study found the country’s aggregate labor supply to be some 19 % below its potential, driven by lost employment and reduced numbers of hours worked by those reporting chronic conditions; this implied an overall production loss of roughly 12 percent of the country’s GDP. Child undernutrition affects human capital and productivity in several dimensions. Children who suffered from undernutrition are more likely to achieve lower educational levels than healthy children. The low education levels attained, often makes them less qualified for work, thus reducing their income-earning potential for non-manual work. Adults who suffered from stunting as children tended to have less lean body mass and are therefore more likely to be less productive in manual intensive activities those who were never affected by growth retardation. Moreover, the population lost in a country due to child mortality hinders economic growth, as they could have been healthy productive members of society.
The Cost of Hunger in Africa model analyses the differential impact of undernutrition of a person’s productivity based on the type of labor. For non-manual activities, the analysis considers the consequences of lower schooling levels in income earning capacity in the labor market. In the case of manual intensive activities, the analysis is based on the average productivity loss due to lower physical capacity, and not to the educational level achieved. For activities that are non- manual, in which 33% of the population in Egypt is engaged, the model generates an estimation of differential income, per each grade of school and for each age group, based on the nutritional situation of the population.
In the case of Egypt, the economic loss in non-manual activities is estimated at 2.7 billion EGP, which is equivalent to 0.3% of the GDP in 2009. On the other hand, for manual intensive activities, where 67% of Egyptians are currently engaged, the model estimates the economic consequences based on the reduced physical capacity of a stunted person compared to a person who was never stunted. The analysis is carried out by applying a differential risk factor, to the current earnings of the population by the different age groups. As a result, the model estimates lower productive capacity of this stunted population working in manual activities at 10.7 billion EGP which is equivalent to 1.03% of GDP.
In Egypt, a World Bank study found the country’s aggregate labor supply to be some 19 % below its potential, driven by lost employment and reduced numbers of hours worked by those reporting chronic conditions; this implied an overall production loss of roughly 12 percent of the country’s GDP. Child undernutrition affects human capital and productivity in several dimensions. Children who suffered from undernutrition are more likely to achieve lower educational levels than healthy children. The low education levels attained, often makes them less qualified for work, thus reducing their income-earning potential for non-manual work. Adults who suffered from stunting as children tended to have less lean body mass and are therefore more likely to be less productive in manual intensive activities those who were never affected by growth retardation. Moreover, the population lost in a country due to child mortality hinders economic growth, as they could have been healthy productive members of society.
The Cost of Hunger in Africa model analyses the differential impact of undernutrition of a person’s productivity based on the type of labor. For non-manual activities, the analysis considers the consequences of lower schooling levels in income earning capacity in the labor market. In the case of manual intensive activities, the analysis is based on the average productivity loss due to lower physical capacity, and not to the educational level achieved. For activities that are non- manual, in which 33% of the population in Egypt is engaged, the model generates an estimation of differential income, per each grade of school and for each age group, based on the nutritional situation of the population.
In the case of Egypt, the economic loss in non-manual activities is estimated at 2.7 billion EGP, which is equivalent to 0.3% of the GDP in 2009. On the other hand, for manual intensive activities, where 67% of Egyptians are currently engaged, the model estimates the economic consequences based on the reduced physical capacity of a stunted person compared to a person who was never stunted. The analysis is carried out by applying a differential risk factor, to the current earnings of the population by the different age groups. As a result, the model estimates lower productive capacity of this stunted population working in manual activities at 10.7 billion EGP which is equivalent to 1.03% of GDP.
|
Click here to edit.
|
Ramdanisk is an open source plateforme that aims to make country profiles easily available using Smart Data |