Compartmental epidemiological models categorize individuals based on their disease status, such as the SEIRD model (Susceptible-Exposed-Infected-Recovered-Dead). These models determine the parameters that influence the magnitude of an outbreak, such as contagion and recovery rates. However, they don't account for individual characteristics or population actions, which are crucial for assessing mitigation strategies like mask usage in COVID-19 or condom distribution in HIV. Additionally, studies highlight the role of citizen solidarity, interpersonal trust, and government credibility in explaining differences in contagion rates between countries. Agent-Based Modeling (ABM) offers a valuable approach to study complex systems by simulating individual components, their actions, and interactions within an environment. ABM provides a useful tool for analyzing social phenomena. In this study, we propose an ABM architecture that combines an adapted SEIRD model with a decision-making model for citizens. In this paper, we propose an ABM architecture that allows us to analyze the evolution of virus infections in a society based on two components: 1) an adaptation of the SEIRD model and 2) a decision-making model for citizens. In this way, the evolution of infections is affected, in addition to the spread of the virus itself, by individual behavior when accepting or rejecting public health measures. We illustrate the designed model by examining the progression of SARS-CoV-2 infections in A Coru\~na, Spain. This approach makes it possible to analyze the effect of the individual actions of citizens during an epidemic on the spread of the virus.

By 2030, AI will get to different wellsprings of information to uncover designs in sickness and help therapy and care. Medical care frameworks will actually want to anticipate a singular gamble of specific illnesses and recommend preventive measures. Simulated intelligence will assist with decreasing sitting tight times for patients and further develop proficiency in clinics and wellbeing frameworks. At this season 10 years earlier, focuses and expert's work environments would flood with incapacitated people fit to be seen; today, clinicians and patients move actually through the structure. Related care has moved toward a reality, driven by long periods of gigantic strain on overall clinical benefits systems without enough gifted clinical specialists to truly zero in on their rapidly creating and developing peoples and forward jumps in solid advancement enabling impacts, for instance, data science and man-made thinking (AI).

Cybersecurity experts revealed a few days ago that over half a billion Facebook users' personal information have been leaked. It's a gold mine of data, which includes users' full names, birthdays, locations and phone numbers. Although Facebook claims that the actual hack happened a couple of years ago, it won't hurt if users made sure their account is not part of the breach and if they are, they should take a few preventive measures to ensure future incidents as messy as this one won't affect them. Australian Security Researcher and HaveIBeenPawned Founder Tony Hunt recently added the 533 million phone numbers exposed in the Facebook data leak to his website. Those worried if their mobile numbers were part of the leak can visit the site and check if their number is there.

The UK government is setting aside £2.6 million for new satellite and drone technology that could deliver essential supplies during the coronavirus lockdown. The UK Space Agency (UKSA) is funding new solutions to deliver equipment such as test kits, masks, gowns and goggles for frontline NHS staff. The joint initiative with the European Space Agency could lead to vital equipment soaring through British skies via drones to support the NHS in tackling COVID-19. Companies can submit their proposals, including ideas for deployment and a pilot phase, on the European Space Agency (ESA) website. The UK's space industry is also looking for ways to combat the spread of coronavirus and preventing future epidemics using satellites.

China is playing catch-up in the development of ethical guidelines in the field of artificial intelligence, with the establishment of an ethics committee. Chen Xiaoping – inventor of Jia Jia, the realistic humanoid "Robot Goddess", and KeJia, an intelligent home service robot – is leading the committee, which held its first conference last year and is due to meet again in May. Chen, professor and director of the Robotics Laboratory at the University of Science and Technology of China, said AI in China had developed to a point where ethical guidelines were now necessary to address potential risks in large-scale applications. "If the technology was far off being applied there would be no need to talk about ethics research, but there is value in this research into technologies that might be applied on a large scale in the next 10 or 20 years," he said. Chen was appointed to establish the ethics committee by the Chinese Association for Artificial Intelligence, the country's only state-level AI body.

Deciding effective and timely preventive measures against complex social problems affecting relatively low income geographies is a difficult challenge. There is a strong need to adopt intelligent automation based solutions with low cost imprints to tackle these problems at larger scales. Starting with the hypothesis that analytical modelling and analysis of social phenomena with high accuracy is in general inherently hard, in this paper we propose design framework to enable data-driven machine learning based adaptive solution approach towards enabling more effective preventive measures. We use survey data collected from a socio-economically backward region of India about adolescent girls to illustrate the design approach.