Adaptive sentinel testing in workplace for COVID-19 pandemic

Testing and isolation of infectious employees is one of the critical strategies to make the workplace safe during the pandemic for many organizations. Adaptive testing frequency reduces cost while keeping the pandemic under control at the workplace. However, most models aimed at estimating test frequencies were structured for municipalities or large organizations such as university campuses of highly mobile individuals. By contrast, the workplace exhibits distinct characteristics: employee positivity rate may be different from the local community because of rigorous protective measures at workplace, or self-selection of co-workers with common behavioral tendencies for adherence to pandemic mitigation guidelines. Moreover, dual exposure to COVID19 occurs at work and home that complicates transmission modelling, as does transmission tracing at the workplace. Hence, we developed bi-modal SEIR model and R-shiny tool that accounts for these differentiating factors to adaptively estimate the testing frequency for workplace. Our tool uses easily measurable parameters: community incidence rate, risks of acquiring infection from community and work-place, workforce size, and sensitivity of testing. Our model is best suited for moderate-sized organizations with low internal transmission rates, no-outward facing employees whose position demands frequent in-person interactions with the public, and low to medium population positivity rates. Simulations revealed that employee behavior in adherence to protective measures at work and in their community, and the onsite workforce size have large effects on testing frequency. Reducing workplace transmission rate through workplace mitigation protocols and higher sensitivity of the test deployed, though to a lesser extent. Furthermore, our simulations showed that sentinel testing leads to only marginal increase in the number of infections even for high community incidence rates, suggesting that this may be a cost-effective approach in future pandemics. We used our model to accurately guide testing regimen for three campuses of The Jackson Laboratory.

Elements of a successful hospital-based deceased donation programme in India: Zero to eighty-five in two years.

Background: Legislation has made organ donation after brain death (DBD) possible in India since 1994. However, no organs are donated in most parts of the country; the national organ donation rate is estimated at between 0.08 and 0.34 donors per million population-one of the lowest in the world. Methods: A 350-bedded private hospital in Kochi started its DBD programme in September 2013 with a structured approach based on counselling of family members of critically ill individuals. A counsellor trained to diagnose family dynamics, and recognize different stages of the grieving process, chose the right time, and the correct family member to whom the donation request could be made. Regular debriefing sessions of the core team consisting of a transplant surgeon, a transplant coordinator, an ICU counsellor and a unit administrator resulted in setting up systems that supported families of patients with catastrophic brain injury, and created an environment conducive to obtaining consent. Results: A total of 85 organ donations took place in the first 24 months (September 2013 to September 2015) of instituting the programme. Conclusion: It is possible with hospital-based teamwork and a structured approach to consistently elicit organ donation.