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The model classifies the population into four mutually exclusive groups: susceptible (at risk of contracting the disease), exposed (infected but not yet infectious), infectious (capable of transmitting the disease), and removed (those who recover or die from the disease). A susceptible individual can become exposed only through contact with some infectious person. Susceptible individuals first enter the exposed stage, during which they may have a low level of infectivity; they become infectious thereafter. The infection rate represents the probability of transmission from an infectious person to a susceptible one. The incubation rate (the reciprocal of the average duration of incubation) is the rate at which latent individuals become infectious; and the removal rate is the reciprocal of the average duration of infection. The basic reproduction number (BRN) is the expected number of cases directly generated by one case. A BRN greater than one indicates that the outbreak is self-sustaining, while a BRN less than one indicates that the number of new cases decreases over time and eventually the outbreak will stop. Ideally, the BRN should be reduced in order to slow down an epidemic.

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covid-19-data-visualization coronavirus-impact-assessment covid-19-dashboard-development data-science-for-public-health epidemiological-analysis pandemic-trends-and-insights vaccine-rollout-analytics

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Hi there ๐Ÿ‘‹ I am Tonmoy Khanal

  • ๐Ÿ”ญ I am good at Machine learning and Deep learning. I use python for Data science.
  • ๐Ÿ”ญ I have completed my course completion in Data Science from GUVI GEEK NETWORK PRIVATE LIMITED (IITM)

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