Contact Tracing Evaluation for COVID-19 Transmission during the Reopening Phase in a Rural College Town in the USA
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Contact tracing can play a vital role in controlling human-to-human transmission of a highly contagious disease such as COVID-19. To investigate the benefits and costs of contact tracing in the COVID-19 transmission, we develop an individual-based contact-network model and a susceptible-exposed-infected-confirmed (SEIC) epidemic model. We estimate the unknown parameters (reproductive ratio $R_0$ and confirmed rate $:delta_2$) by using confirmed case data. We model contact tracing in a two-layer network by modifying the basic SEIC epidemic model' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Epidemic modeling, Network science"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Contact tracing can play a vital role in controlling human-to-human transmission of a highly contagious disease such as COVID-19. To investigate the benefits and costs of contact tracing in the COVID-19 transmission, we develop an individual-based contact-network model and a susceptible-exposed-infected-confirmed (SEIC) epidemic model. We estimate the unknown parameters (reproductive ratio $R_0$ and confirmed rate $:delta_2$) by using confirmed case data. We model contact tracing in a two-layer network by modifying the basic SEIC epidemic model' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Contact tracing can play a vital role in controlling human-to-human transmission of a highly contagious disease such as COVID-19. To investigate the benefits and costs of contact tracing in the COVID-19 transmission, we develop an individual-based contact-network model and a susceptible-exposed-infected-confirmed (SEIC) epidemic model. We estimate the unknown parameters (reproductive ratio $R_0$ and confirmed rate $:delta_2$) by using confirmed case data. We model contact tracing in a two-layer network by modifying the basic SEIC epidemic model
Epidemic modeling, Network science