Food security in Sub-Saharan Africa: an explorative study

ASC – Publicaties niet-programma gebonde

Future impacts of environmental factors on achieving the SDG target on child mortality-A synergistic assessment.

An estimated 26% of current global child deaths can be attributed to various and modifiable environmental factors, which are addressed under multiple Sustainable Development Goals (SDGs). This study assesses future reductions in child mortality in relation to the achievement of environment-related SDG targets. It uses projections of health risk factors from the IMAGE 3.0 Integrated Assessment Model, based on the Shared Socioeconomic Pathways (SSPs), linked to a standard multi-state health model (GISMO), distinguishing risk factors, disease occurrence and cause-specific death. The study concludes that, on a global level, the SDG target on child mortality will not be achieved in any of the three SSP scenarios analysed, mainly due to persistent high mortality rates in Sub-Saharan Africa and South Asia. By 2030, environmental health risk factors – including childhood undernutrition, no access to improved drinking water and sanitation, no access to modern fuels and exposure to malaria – will still be responsible for 14% to 16% of total global child deaths (8% to 10% when excluding nutrition-related mortality). Under the middle-of-the-road SSP2 baseline scenario, achievement of the SDG targets on hunger, drinking water and sanitation and modern energy services, would avoid 433 thousand child deaths by 2030. If, in addition, also higher standards would be achieved for access to water and energy, as well as universal secondary female education and advanced malaria control, a total of 733 thousand child deaths is projected to be avoided by 2030 (444 thousand child deaths, when excluding nutrition-related mortality), which would reduce projected global child mortality by 13%. Overall, more than 25% of the child mortality reduction that is needed to achieve the SDG target in Sub-Saharan Africa can be achieved through SDG-related policies on food, water and energy. This requires integrated and intersectoral approaches to environmental health

Food security in Sub-Saharan Africa: an explorative study

ASC – Publicaties niet-programma gebonde

Population vulnerability to COVID-19 in Europe: a burden of disease analysis

Background Evidence has emerged showing that elderly people and those with pre-existing chronic health conditions may be at higher risk of developing severe health consequences from COVID-19. In Europe, this is of particular relevance with ageing populations living with non-communicable diseases, multi-morbidity and frailty. Published estimates of Years Lived with Disability (YLD) from the Global Burden of Disease (GBD) study help to characterise the extent of these effects. Our aim was to identify the countries across Europe that have populations at highest risk from COVID-19 by using estimates of population age structure and YLD for health conditions linked to severe illness from COVID-19. Methods Population and YLD estimates from GBD 2017 were extracted for 45 countries in Europe. YLD was restricted to a list of specific health conditions associated with being at risk of developing severe consequences from COVID-19 based on guidance from the United Kingdom Government. This guidance also identified individuals aged 70 years and above as being at higher risk of developing severe health consequences. Study outcomes were defined as: (i) proportion of population aged 70 years and above; and (ii) rate of YLD for COVID-19 vulnerable health conditions across all ages. Bivariate groupings were established for each outcome and combined to establish overall population-level&nbsp;vulnerability. Results Countries with the highest proportions of elderly residents were Italy, Greece, Germany, Portugal and Finland. When assessments of population-level YLD rates for COVID-19 vulnerable health conditions were made, the highest rates were observed for Bulgaria, Czechia, Croatia, Hungary and Bosnia and Herzegovina. A bivariate analysis indicated that the countries at high-risk across both measures of vulnerability were: Bulgaria; Portugal; Latvia; Lithuania; Greece; Germany; Estonia; and&nbsp;Sweden. Conclusion Routine estimates of population structures and non-fatal burden of disease measures can be usefully combined to create composite indicators of vulnerability for rapid assessments, in this case to severe health consequences from COVID-19. Countries with available results for sub-national regions within their country, or national burden of disease studies that also use sub-national levels for burden quantifications, should consider using non-fatal burden of disease estimates to estimate geographical vulnerability to COVID-19.</p