Violence against hospitals—manifested in physical attacks against patients, workers, and facilities as well as in cyberattacks on hospitals—has been on the rise worldwide. Cyberattacks include a variety of threats from brute force and Denial-of-Service attacks to the use of phishing and malware or social engineering methods to compromise security.
AGRONet leverages its information from electronic health records, flu-related Google searches and historical flu activity in a given location. Improved accuracy has been achieved by adding a second model, which draws on spatial-temporal patterns of flu spread in neighbouring areas . Furthermore, the machine learning system was “trained” by feeding it flu predictions from both models as well as actual flu data, helping to reduce errors in the predictions.
This week’s blogpost focuses on the development of a rather remarkable piece of homegrown innovation. Stories of restoring a paraplegic’s ability to walk was something previously confined to the pages of ancient divine texts, yet scientists from EPFL based at Campus Biotech in Geneva have managed to achieve the seemingly miraculous. Their success has been a combination of brilliant scientific minds, innovative technology and dedication to a common goal, which has led to this breakthrough.
“The right intervention to the right population at the right time”
“We’ve designed Zipline to solve the second half of this problem. We know who needs medicine, when and where. And now, we can get them that medicine as quickly as possible”
Founded in 2002, the Global Fund is partnership organisation designed to accelerate the end of AIDS, tuberculosis and malaria as pandemics. Through continued work with governments, civil society and the private sector, the Global Fund strengthens local health systems and improves communities, by raising money to invest in prevention, treatment and care services .
“Our software harnesses big data, real time-monitoring, artificial intelligence, and proprietary algorithms to deliver critical insights to a variety of audiences”.
Prevent epidemics is an open-source tool raising awareness for epidemic preparedness, through the generation of country-level data and risk-maps based on a ready score. The ready score is based on Joint External Evaluation (JEE).
“We could provide timely, sensitive data on population health”
The 19th century saw the rapid development of sentinel surveillance systems which informed important health policy decisions. In the 20th century, microbiology and computer advances improved disease surveillance and public health communication. Now, in the 21st century, we have access to low cost and quick identification of pathogens. Additionally, we now use big data systems e.g. electronic medical claims which allow us to compare diseases in time and place .