scholarly journals Scoping the Impact of Changes in Population Age-Structure on the Future Burden of Foodborne Disease in The Netherlands, 2020–2060

2013 ◽  
Vol 10 (7) ◽  
pp. 2888-2896 ◽  
Author(s):  
Martijn Bouwknegt ◽  
Wilfrid van Pelt ◽  
Arie Havelaar
2019 ◽  
Vol 11 (14) ◽  
pp. 3914 ◽  
Author(s):  
Jaehyeok Kim ◽  
Minwoo Jang ◽  
Donghyun Shin

In this article, we empirically investigate the impact of the population age structure on electricity demand. Our study is motivated by suggestions from existing literature that demographic factors can play an important role in energy demand. Using Korean regional level panel data for 2000 to 2016, we estimate the long-run elasticities through employing cointegration regression and the short-run marginal effects by developing a panel error correction model. It is worth investigating the Korean case, since Korea is aging faster than any other advanced economy, and at the same time is one of the heaviest energy users in the world. To our knowledge, this is the first study analyzing how the population age structure affects residential electricity demand, based on regional data in Korea. Our analysis presents the following results. First, an increase in the youth population raises the residential electricity demand in the short- and long-run. Second, an increase in the population of people aged 65 and over also increases this electricity demand in the short- and long-run. Third, among the group of people aged 65 and over, we further investigate the impact of an older population group, aged 80 and over, but separately, on their residential electricity demand. However, in general there is no strong relationship in the short- and long-run.


2001 ◽  
Vol 164 (4) ◽  
pp. 590-596 ◽  
Author(s):  
TALITHA L. FEENSTRA ◽  
MARIANNE L. L. van GENUGTEN ◽  
RUDOLF T. HOOGENVEEN ◽  
EMIEL F. WOUTERS ◽  
MAUREEN P. M. H. RUTTEN-van MÖLKEN

Stroke ◽  
2005 ◽  
Vol 36 (8) ◽  
pp. 1648-1655 ◽  
Author(s):  
Jeroen N. Struijs ◽  
Marianne L.L. van Genugten ◽  
Silvia M.A.A. Evers ◽  
Andre J.H.A. Ament ◽  
Caroline A. Baan ◽  
...  

2020 ◽  
pp. 133-146
Author(s):  
Nataliia Nazukova

Introduction. Ensuring the sustainability of the public finance system forms the basis for sustainable development and growth of the national economy. The sustainability of the public finance system is influenced by both macro-financial indicators and indicators of government spending and debt. It is well known that the demographic burden on the budget will grow in the future. This will be manifested in an increase of government’s social spending. Therefore, studies of the impact of demographically-driven costs on the sustainability of public finances in the future are relevant. Insufficiently studied – in this particular context – are the government’s spending on education, which led to the choice of the subject of the study. Purpose. The purpose of the research is in analytical assessment of the impact of changes in the volume of spending on education (caused by the demographic aging in Ukraine) on budgetary sustainability. Method (methodology). The methodological basis of the study is the theoretical provisions of the economic science of public finance in general and public funding of education in particular. The article uses general scientific methods of theoretical and empirical knowledge: analysis and synthesis of data on financing of various levels of education and their age structure; mathematical modeling and forecasting in assessing the demographic impact on public finance’ sustainability; systemic analysis of the results. Results. The article reflects the main results of the analysis of demographically determined trends in the volume of financing of various levels of education in Ukraine, determines the age proportions of financing of education in the base year and decomposes the corresponding spending by the age structure of the population; changes in the volume of budget financing of various levels of education in Ukraine in the medium and long term (taking into account forecasts of demographic aging of the population), estimates the impact of demographically determined changes in the volume of budget financing of education on the sustainability of public finance in the medium term. The results can be applied in budget planning, in the development of a budget declaration and program-targeted documents regarding financing of the education sector in Ukraine.


BMJ Open ◽  
2014 ◽  
Vol 4 (7) ◽  
pp. e004787-e004787 ◽  
Author(s):  
L. Webber ◽  
D. Divajeva ◽  
T. Marsh ◽  
K. McPherson ◽  
M. Brown ◽  
...  

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Larissa C. Anderson ◽  
Eric S. Loker ◽  
Helen J. Wearing

Abstract Background Schistosomiasis is a neglected tropical disease endemic in 54 countries. A major Schistosoma species, Schistosoma mansoni, is sustained via a life cycle that includes both human and snail hosts. Mathematical models of S. mansoni transmission, used to elucidate the complexities of the transmission cycle and estimate the impact of intervention efforts, often focus primarily on the human host. However, S. mansoni incurs physiological costs in snails that vary with the age of the snail when first infected. Snail demography and the age of snail infection could thus affect the force of infection experienced by humans, which is frequently used to predict the impact of various control strategies. Methods To address how these snail host and parasite interactions influence model predictions, we developed deterministic models of schistosomiasis transmission that include varying complexity in the snail population age structure. Specifically, we examined how model outputs, such as schistosome prevalence in human and snail populations, respond to the inclusion of snail age structure. Results Our models suggest that snail population age structure modifies the force of infection experienced by humans and the relationship between snail infection prevalence and corresponding human infection prevalence. There are significant differences in estimated snail infection, cercarial density and mean worm burden between models without snail population dynamics and those with snail populations, and between models with a homogeneous snail population and those with age stratification. The variation between finely age-stratified snail populations and those grouped into only juvenile and adult life stages is, however, minimal. Conclusions These results indicate that including snails and snail age structure in a schistosomiasis transmission model alters the relationship between snail and human infection prevalence. This highlights the importance of accounting for a heterogeneous intermediate host population in models of schistosomiasis transmission where the impact of proposed control measures is being considered.


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