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1.
Nat Commun ; 12(1): 2586, 2021 05 10.
Article in English | MEDLINE | ID: covidwho-1253934

ABSTRACT

High impact epidemics constitute one of the largest threats humanity is facing in the 21st century. In the absence of pharmaceutical interventions, physical distancing together with testing, contact tracing and quarantining are crucial in slowing down epidemic dynamics. Yet, here we show that if testing capacities are limited, containment may fail dramatically because such combined countermeasures drastically change the rules of the epidemic transition: Instead of continuous, the response to countermeasures becomes discontinuous. Rather than following the conventional exponential growth, the outbreak that is initially strongly suppressed eventually accelerates and scales faster than exponential during an explosive growth period. As a consequence, containment measures either suffice to stop the outbreak at low total case numbers or fail catastrophically if marginally too weak, thus implying large uncertainties in reliably estimating overall epidemic dynamics, both during initial phases and during second wave scenarios.


Subject(s)
COVID-19 Testing/statistics & numerical data , COVID-19/epidemiology , COVID-19/prevention & control , Disease Outbreaks/statistics & numerical data , Epidemics/prevention & control , COVID-19/diagnosis , Contact Tracing/statistics & numerical data , Disease Outbreaks/prevention & control , Epidemics/statistics & numerical data , Humans , Italy/epidemiology , Models, Statistical , Models, Theoretical , Physical Distancing , Quarantine , Social Isolation
2.
Sci Rep ; 11(1): 4956, 2021 03 02.
Article in English | MEDLINE | ID: covidwho-1114728

ABSTRACT

The future dynamics of the Corona Virus Disease 2019 (COVID-19) outbreak in African countries is largely unclear. Simultaneously, required strengths of intervention measures are strongly debated because containing COVID-19 in favor of the weak health care system largely conflicts with socio-economic hardships. Here we analyze the impact of interventions on outbreak dynamics for South Africa, exhibiting the largest case numbers across sub-saharan Africa, before and after their national lockdown. Past data indicate strongly reduced but still supracritical growth after lockdown. Moreover, large-scale agent-based simulations given different future scenarios for the Nelson Mandela Bay Municipality with 1.14 million inhabitants, based on detailed activity and mobility survey data of about 10% of the population, similarly suggest that current containment may be insufficient to not overload local intensive care capacity. Yet, enduring, slightly stronger or more specific interventions, combined with sufficient compliance, may constitute a viable option for interventions for South Africa.


Subject(s)
COVID-19/epidemiology , COVID-19/prevention & control , Communicable Disease Control/methods , Disease Outbreaks , Computer Simulation , Critical Care , Health Policy , Humans , Intensive Care Units , Linear Models , Nonlinear Dynamics , Physical Distancing , Quarantine , South Africa/epidemiology
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