#NETLOGO SYSTEM DYNAMICS HOW TO#

These interventions include physical interventions (mobility restrictions and masks), diagnostic interventions (testing, contact tracing, and quarantine), and pharmaceutical interventions (vaccination). While Covasim can be used to explore theoretical research questions or to make projections, its main purpose is to evaluate the effect of different interventions on the epidemic. Covasim can be tailored to the local context by using detailed data on the population (such as the population age distribution and number of contacts between people) and the epidemic (such as diagnosed cases and reported deaths). In this paper, we describe a COVID-19 model, called Covasim (COVID-19 Agent-based Simulator), that we developed to help answer these questions.

#NETLOGO SYSTEM DYNAMICS HOW TO#

Mathematical models have played an important role in helping countries around the world decide how to best tackle the COVID-19 pandemic. In collaboration with local health agencies and policymakers, Covasim has already been applied to examine epidemic dynamics and inform policy decisions in more than a dozen countries in Africa, Asia-Pacific, Europe, and North America. Implemented in pure Python, Covasim has been designed with equal emphasis on performance, ease of use, and flexibility: realistic and highly customized scenarios can be run on a standard laptop in under a minute. These interventions can incorporate the effects of delays, loss-to-follow-up, micro-targeting, and other factors. Covasim also supports an extensive set of interventions, including non-pharmaceutical interventions, such as physical distancing and protective equipment pharmaceutical interventions, including vaccination and testing interventions, such as symptomatic and asymptomatic testing, isolation, contact tracing, and quarantine. Covasim includes country-specific demographic information on age structure and population size realistic transmission networks in different social layers, including households, schools, workplaces, long-term care facilities, and communities age-specific disease outcomes and intrahost viral dynamics, including viral-load-based transmissibility. Here we describe the methodology of Covasim (COVID-19 Agent-based Simulator), an open-source model developed to help address these questions. The COVID-19 pandemic has created an urgent need for models that can project epidemic trends, explore intervention scenarios, and estimate resource needs.

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