key: cord-288867-iicfe7il authors: Bauch, Chris T; Anand, Madhur title: COVID-19: when should quarantine be enforced? date: 2020-05-20 journal: Lancet Infect Dis DOI: 10.1016/s1473-3099(20)30428-x sha: doc_id: 288867 cord_uid: iicfe7il nan When children are little, they like to pose dilemmas as "would you rather" questions that involve difficult trade-offs. Would you rather fight an elephant-sized duck or five human-sized rhinos? Would you rather have a runny nose for a month or dry eyes? The options are not only both undesirable, but also incomparable. These questions are how we might think of some of the dilemmas created by the COVID-19 pandemic, which presents us with difficult trade-offs in equity, economics, public health, and civil liberties. In The Lancet Infectious Diseases, Corey M Peak and colleagues 1 explore one such dilemma. Plainly put, they ask the question: should health authorities place potentially exposed individuals into a quarantine setting where their separation from others can be enforced, or should authorities simply let them go home, ask them to avoid contacts, and monitor them for COVID-19 symptoms through phone calls or health-care visits? The authors name the two options individual quarantine and active monitoring, respectively. Individual quarantine impinges more on civil liberties but is less risky from a public health perspective. Aware of this dilemma, Peak and colleagues 1 use a mathematical model of the early spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections to establish the conditions under which individual quarantine works better than active monitoring. Under a broad range of model parameters the authors find that there is no difference in the effectiveness of the two strategies. They either both contain the outbreak, or they both do not contain it. However, an important exception occurs if the serial interval (time between symptom onset in an infector and their infectees) of the infection 2 is around 4ยท8 days, and if at least 75% of infected contacts are identified within 12 h, on average. Under those circumstances, individual quarantine could contain an outbreak, whereas active monitoring could not. This prediction appears to be consistent with another recently published model of COVID-19 containment. 3 Crucially, this analysis assumes that testing is rapid and widely available, which is not true for many places. In view of evidence that the SARS-CoV-2 serial interval is probably about 5 days, 2 these observations raise the question: how hard is it to attain 75% success in tracing of infected contacts? This rate might be impractical with manual contact tracing, depending on the route of transmission. Interviews with individuals are stymied by problems of cognitive bias, inability of individuals to remember their detailed movements, and difficulty in identifying contacts unknown to the patient. By contrast, digital technologies offer vast improvements in terms of location accuracy and contact identification; 3 these technologies put the 75% target within reach, as the experience of South Korea with COVID-19 has shown. 4 However, using digital surveillance to reach the target would then present two infringements on civil liberties: individuals must be tracked to capture enough infected contacts, and those contacts must be individually quarantined. And even if contact tracing fails to contain an outbreak, the combined effect of physical distancing and contact tracing is greater than the effect of either intervention on its own. 1 Hence, the authors' analysis tells us that many decision makers will need to choose whether to use digital surveillance. Mathematical models such as those used by Peak and colleagues 1 can help decision makers to adopt an evidence-based approach to addressing the difficult dilemmas that we will continue to face during the COVID-19 pandemic. However, we suggest that mathematical models should go beyond addressing strictly epidemiological questions. The pandemic has affected almost every aspect of our individual and collective lives, and our own reactions to the pandemic shape the outbreaks we experience. Hence, we think researchers should broaden their focus to developing models that explicitly include relevant social processes, equity considerations, and economic impacts in the model structure. There is already a precedent for this approach in modelling endemic infectious diseases 5, 6 and in other fields of natural systems modelling. 7 On a final note, we speculate that the COVID-19 quarantine and monitoring dilemma is in some ways not as difficult to address as the "would you rather" questions of children. Contact tracing represents a race to trace. 8 To prevent exponential growth in the number of cases, public health must trace contacts of infected cases and reduce their chances of causing further spread faster than the virus propagates through the network of personal contacts. Thus, intrusive action in the early stages of a pandemic might reduce how much longer those intrusive measures have to be applied, and to how many people. Additionally, benefits for other fundamental rights are accrued as the pandemic unfolds, such as saving both lives and livelihoods. 9 We declare no competing interests. cbauch@uwaterloo.ca Individual quarantine versus active monitoring of contacts for the mitigation of COVID-19: a modelling study The serial interval of COVID-19 from publicly reported confirmed cases Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing Epidemiology & Case Management Team, Korea Centers for Disease Control & Prevention. Contact transmission of COVID-19 in South Korea: novel investigation techniques for tracing contacts Social factors in epidemiology Poverty trap formed by the ecology of infectious diseases The impact of human-environment interactions on the stability of forest-grassland mosaic ecosystems Emergency response to a smallpox attack: the case for mass vaccination The Universal Declaration of Human Rights