vaccinated
Agent based network modelling of COVID-19 disease dynamics and vaccination uptake in a New South Wales Country Township
Hin, Shing, Yeung, null, Piraveenan, Mahendra
We employ an agent-based contact network model to study the relationship between vaccine uptake and disease dynamics in a hypothetical country town from New South Wales, Australia, undergoing a COVID-19 epidemic, over a period of three years. We model the contact network in this hypothetical township of N = 10000 people as a scale-free network, and simulate the spread of COVID-19 and vaccination program using disease and vaccination uptake parameters typically observed in such a NSW town. We simulate the spread of the ancestral variant of COVID-19 in this town, and study the disease dynamics while the town maintains limited but non-negligible contact with the rest of the country which is assumed to be undergoing a severe COVID-19 epidemic. We also simulate a maximum three doses of Pfizer Comirnaty vaccine being administered in this town, with limited vaccine supply at first which gradually increases, and analyse how the vaccination uptake affects the disease dynamics in this town, which is captured using an extended compartmental model with epidemic parameters typical for a COVID-19 epidemic in Australia. Our results show that, in such a township, three vaccination doses are sufficient to contain but not eradicate COVID-19, and the disease essentially becomes endemic. We also show that the average degree of infected nodes (the average number of contacts for infected people) predicts the proportion of infected people. Therefore, if the hubs (people with a relatively high number of contacts) are disproportionately infected, this indicates an oncoming peak of the infection, though the lag time thereof depends on the maximum number of vaccines administered to the populace. Overall, our analysis provides interesting insights in understanding the interplay between network topology, vaccination levels, and COVID-19 disease dynamics in a typical remote NSW country town.
Dating Apps Are Making It Easier To Swipe Right For A Match Who's Vaccinated
A sample page on the OkCupid app is held for a photograph showing the "I'm vaccinated" checkmark. A sample page on the OkCupid app is held for a photograph showing the "I'm vaccinated" checkmark. What about getting caught in the rain? Well, if fear of the coronavirus is what's keeping you from finding someone who also enjoys both, the White House is trying to help. The nation's largest dating apps are hoping to make it easier for vaccinated singles to find one another, the White House announced Friday, part of the push to meet the Biden administration's goal of getting 70% of adults at least one dose of a COVID-19 vaccine by July 4. The range of new features will allow users to be able to filter potential matches by their vaccination status, and also gain free access to premium features such as "boosts," "super likes" and "super swipes."
Dating apps like Tinder and OKCupid will let users add 'I'm vaccinated' badges to profiles
Tinder, OKCupid, Hinge and other dating apps owned by Match Group are adding new features to users' profiles to encourage them to get a coronavirus vaccine. The Friday announcement is an effort to assist the White House in reaching its goal of getting 70 percent of US adults at least one vaccine jab by July 4. Those who say they have received a COVID-19 vaccination can add a badge to their profile that says'I'm Vaccinated' and will have access to premium content such as boost and super swipes. The apps are also adding filters so people can see who has been vaccinated as well as promotions and links to vaccine.gov to help individuals find vaccine locations. Tinder, OKCupid, Hinge and other dating apps owned by Match Group are adding new features to users' profiles to encourage them to get a coronavirus vaccine.