Flanders (Belgium) is ageing at a rapid pace. Elderly people will continue to live at home in large numbers, partly because this is encouraged by the government. However, many homes are not adapted to reduced mobility. For example, it is not possible to circulate with a wheelchair. But also the living environment poses challenges for the elderly. Flanders is known for a far-reaching spread of housing and facilities, with the result that daily facilities can often only be reached by car. As a result of this spatial fragmentation, the elderly themselves often live for care providers in unreachable places. This ensures, among other things, that the in-home help travels several car kilometers. And research shows that so-called informal care is not self-evident either. Because what about the elderly who don't have children living nearby? Or with the residents who only see their next neighbor hundreds of meters away, who is also often a little mobile peer? The (untouched) appropriateness of the home, the presence or absence of facilities or neighbors, all of which belongs to what we can call the spatial capital of an environment. If this is not present, an autonomous life for a less mobile elderly person is not possible. The argument is that without sufficient spatial capital, the policy options are to allow the elderly to live in their homes for as long as possible or caring neighborhoods dead ends.

1) Background: Sexual violence (SV) is a major public health issue with negative socio-economic and physical, mental, sexual and reproductive health consequences. Migrants, applicants for international protection and refugees (MAR) are identified as a vulnerable group for SV. Since many European countries have been confronted with high migratory pressure, developing prevention strategies and care paths focusing on those MAR affected by SV is needed. To this end, this study reviews evidence on the prevalence of SV among MAR groups in Belgium. 2) Methods: A critical interpretive synthesis was applied to 25 peer-reviewed articles and 22 grey literature documents based on the socio-ecological model. 3) Results: The evidence shows that prevalence rates of SV are high among MAR in Belgium, but comparable prevalence data are lacking. Several challenges for conducting prevalence studies SV in this population are identified and discussed. 4) Conclusions: Sexual violence in MAR in Europe is probably more frequent than in the general population, however representative studies confirming this hypothesis are lacking. Future research should start with a clear definition of the concerned population and acts of SV to generate comparable data. Participatory qualitative research approaches should be applied to fully grasp the complexity of interplaying determinants of SV in MAR.

African swine fever (ASF) is one of the most important and devastating viral diseases in wild boar and domestic pigs worldwide. In the absence of vaccines or treatment options, early clinical detection is key and requires sound knowledge of disease characteristics. To provide practitioners and state veterinarians with detailed information, the objective of the present study was to characterize the ASF virus (ASFV) isolate “Belgium 2018/1” in subadult and weaning domestic pigs. To this end, two animal trials were performed. Trial A included eight subadult domestic pigs and trial B five weaner pigs. In general, clinical signs and pathological lesions were in line with previous studies utilizing highly virulent ASF genotype II viruses. However, in trial A, four subadult domestic pigs survived and recovered pointing to an age dependent outcome. The long-term fate of those survivors remains under discussion and would need further investigations.

Strong convective storms can be a serious threat to modern society, influencing both the economy and human life. Thunderstorms can bring much-needed rain after a dry spell, but the nature of thunderstorm mostly causes damage due to high wind associated with it and heavy intensity rain that mostly causes quick overlandflow and flashfloods. The paper focused on the 2011 Pukkelpop event in Belgium where due to heavy thunderstorm a lot of financial damage occurred, and five casualties. In this paper we look into the basic elements that enforces the creation of a thunderstorm like CAPE and windshear. A representative grid has been taken from the Alaro-0 model of 12.5 km resolution for the analysis of the thunderstorm over Belgium which is detailed out in the methodology. The model runs of Alaro-0 from Royal Meteorological Institute of Belgium (RMI) is used for historical and future years for CAPE and Shear. We look into STEnv which is a composite number that can provide some insight on occurrence of thunderstorm, and STEnv is when CAPE*Shear exceeds certain threshold. In this study the threshold has been chosen as 97%. Only summer months have been taken into account into this study as summer(s) has the most thunderstorm in Belgium. The analysis of CAPE and STEnv over historical period (1977-2005), near future (2041-2069) and far future (2071-2099) shows significant increase in occurrence of thunderstorm in the 2071-2099s, specially in extreme cases such as 97% and 99% quantile. CAPE (J/Kg) increases in all future scenarios compared to the historical period. In 2071-2099s, CAPE increases from 2100 J/Kg to 2300 J/Kg (90% quantile) and from 3500 J/Kg to 3900 J/Kg (99% quantile) compared to the historical period. The number of STEnv increases from 300 to 378 in top 10% storm case (90% quantile), 158 to 218 in top 5% storm (95% quantile), 97 to 153 in top 3% storm (97% quantile) and 33 to 66 in top 1% storm (99% quantile) with a 90% confidence interval overall. Shear mostly remains unchanged. The study also shows spatial variation of CAPE, shear and STEnv over Belgium for present and future scenarios in different extremities (90%, 95%, 97% and 99% quantiles). There is a good indication that increase in CAPE translates to increase in STEnv, which is an accepted measure to predict occurrence of thunderstorm. Future climate change also amplifies the occurrence of thunderstorm, which is coherent with relevant studies. The uncertainty related to the study can be reduced with more detailed dataset and involvement of numerical weather prediction models beyond data statistics.