agent based sir model with rates in anylogic

Agent based sir model with rates in anylogic code#

In addition to the public health crisis, the coronavirus has impacted all aspects of life, politics, education, economy, social, environment and climate. As of June 26th 2020, the country reached more than 1,220,000 confirmed cases and more than 55,000 deaths by COVID-19, according to official data by the Brazilian Ministry of Health. Since then, Brazil has been severely affected. In Brazil, the first confirmed case was on February 25th 2020, when a man from São Paulo tested positive for the virus. The World Health Organization (WHO) declared the outbreak a Public Health Emergency of International Concern on January 30th 2020, and a pandemic on March 11th. The outbreak was identified in Wuhan, China, in December 2019. The Coronavirus disease 2019 (COVID-19) pandemic is an ongoing outbreak, caused by severe acute respiratory syndrome coronavirus 2 (so-called SARS-CoV-2). Therefore, it is a useful tool to assist politicians and health authorities to plan their actions against the COVID-19 epidemic.

The model can be easily extended to other societies by changing the input parameters, as well as allowing the creation of a multitude of other scenarios.

Agent based sir model with rates in anylogic code#

The COVID-ABS model was implemented in Python programming language, with source code publicly available. In the impossibility of implementing scenarios with lockdown, which present the lowest number of deaths and highest impact on the economy, scenarios combining the use of face masks and partial isolation can be the more realistic for implementation in terms of social cooperation. Seven different scenarios of social distancing interventions were analyzed, with varying epidemiological and economic effects: (1) do nothing, (2) lockdown, (3) conditional lockdown, (4) vertical isolation, (5) partial isolation, (6) use of face masks, and (7) use of face masks together with 50% of adhesion to social isolation. This paper proposes the COVID-ABS, a new SEIR (Susceptible-Exposed-Infected-Recovered) agent-based model that aims to simulate the pandemic dynamics using a society of agents emulating people, business and government. To overcome this problem, countries have adopted different policies and non-pharmaceutical interventions for controlling the spread of the virus. The COVID-19 pandemic due to the SARS-CoV-2 coronavirus has directly impacted the public health and economy worldwide.