Dependencies in the global food production network can lead to shortages numerous regions, as demonstrated by impacts of Russia-Ukraine conflict on supplies. Here we reveal losses 125 products after a localized shock agricultural 192 countries and territories using multilayer model trade (direct) conversion (indirect), thereby quantifying 108 transmissions. We find that complete loss Ukraine has heterogeneous other countries, causing relative up 89% sunflower oil 85% maize via direct effects...

Abstract We aim to comprehensively identify typical life-spanning trajectories and critical events that impact patients’ hospital utilization mortality. use a unique dataset containing 44 million records of almost all inpatient stays from 2003 2014 in Austria investigate disease trajectories. develop new, multilayer network approach quantitatively analyze how cooccurrences two or more diagnoses form evolve over the life course patients. Nodes represent age groups ten years; each group makes...

Abstract The zoonotic origin of SARS-CoV-2, the etiological agent COVID-19, is not yet fully resolved. Although natural infections in animals are reported a wide range species, large knowledge and data gaps remain regarding SARS-CoV-2 animal hosts. We used two major health databases to extract unstructured generated global dataset events animals. presents harmonized host names, integrates relevant epidemiological clinical on each event, readily usable for analytical purposes. also share code...

Abstract The eco-epidemiology of zoonoses is often oversimplified to host-pathogen interactions while findings derived from global datasets are rarely directly transferable smaller-scale contexts. Through a systematic literature search, we compiled dataset naturally occurring zoonotic in Austria, spanning 1975–2022. We introduce the concept web describe complex relationships between agents, their hosts, vectors, food, and environmental sources. was explored through network analysis. After...

Regular physical activity is essential for the healthy development of children, and sports clubs are one main drivers regular exercise. Previous studies have demonstrated that public subsidies can increase participation rates in clubs. The effectiveness funding increasing depends on multiple factors, such as geographic location, size club, socio-economic conditions population. Here, we show how an optimal allocation government funds to facilitators (e.g., clubs) be achieved using a...

Patients do not access physicians at random but rather via naturally emerging networks of patient flows between them. As retirements, mass quarantines and absence due to sickness during pandemics, or other shocks thin out these networks, the system might be pushed closer a tipping point where it loses its ability deliver care population. Here we propose data-driven framework quantify regional resilience such primary secondary in Austria an agent-based model. For each region medical specialty...

<title>Abstract</title> The eco-epidemiology of zoonoses is often oversimplified to host-pathogen interactions while findings derived from global datasets are rarely directly transferable smaller-scale contexts. Here, we compile and comprehensively analyse a dataset zoonotic in Austria, spanning 1975-2022. We introduce the concept <italic>zoonotic web</italic> describe relationships between agents, their hosts, vectors, food, environmental sources. Within network agent sharing, most...

Global food production and trade networks are highly dynamic, especially in response to shortages when countries adjust their supply strategies. In this study, we examine adjustments across 123 agri-food products from 192 resulting 23616 individual scenarios of shortage, calibrate a multi-layer network model understand the propagation shocks. We analyze shock mitigation actions, such as increasing imports, boosting production, or substituting items. Our findings indicate that these lead...

Abstract The zoonotic origin of SARS-CoV-2, the etiological agent COVID-19, is not yet fully resolved. Although natural infections in animals are reported a wide range species, large knowledge and data gaps remain regarding SARS-CoV-2 animal hosts. We used two major health databases to extract unstructured generated comprehensive global dataset thoroughly documented events animals. integrates relevant epidemiological clinical on each event readily usable for analytical purposes. also share...

Why does the world seem to suddenly be fighting over antibiotics? For one thing, production is increasingly concentrated in two countries - China and India. another, an entire industry seems surprised by rapid increase demand for drugs after decline during Covid-19 pandemic. Our results suggest three broad policy recommendations. First, health policies should invest into improvements of tracking, planning, forecasting infrastructure. Health focus on shortages which substitutes are also...

We aim to comprehensively identify typical life-spanning trajectories and critical events that impact patients' hospital utilization mortality. use a unique dataset containing 44 million records of almost all inpatient stays from 2003 2014 in Austria investigate disease trajectories. develop new, multilayer network approach quantitatively analyse how cooccurrences two or more diagnoses form evolve over the life course patients. Nodes represent age groups ten years; each group makes up layer...

This visual case study was conducted by zaobao.sg, the digital platform of Chinese dailies in Singapore. In early February, to inform and communicate with local audiences about COVID-19 situation Singapore, we built an interactive webpage titled “Dynamic tracking Singapore”, visualize daily reports released Ministry Health. As evolved, kept updating data every day until June 2nd, when Singapore ended its Circuit Breaker measures. The aid visualisation is help better picture relationship...

Patients do not access physicians at random but rather via naturally emerging networks of patient flows between them. As retirements, mass quarantines and absence due to sickness during pandemics, or other shocks thin out these networks, the system might be pushed closer a tipping point where it loses its ability deliver care population. Here we propose data-driven framework quantify regional resilience such primary secondary in Austria an agent-based model. For each region medical specialty...

Dependencies in the global food production network can lead to shortages numerous regions, as demonstrated by impacts of Russia-Ukraine conflict on supplies. Here, we reveal losses $125$ products after a localized shock agricultural $192$ countries and territories using multilayer model trade (direct) conversion (indirect), thereby quantifying $10^8$ transmissions. We find that complete loss Ukraine has heterogeneous other countries, causing relative up $89\%$ sunflower oil $85\%$ maize via...

Many European countries face rising obesity rates among children, compounded by decreased opportunities for sports activities during the COVID-19 pandemic. Access to facilities depends on multiple factors, such as geographic location, proximity population centers, budgetary constraints, and other socio-economic covariates. Here we show how an optimal allocation of government funds towards facilitators (e.g. clubs) can be achieved in a data-driven simulation model that maximizes children's...