Publications by authors named "Cesar Raul Castro Galarza"
Article Synopsis
- The study focuses on analyzing COVID-19 data in Peru to understand how the disease spreads and changes over time, which is essential for public health strategies during the pandemic.
- It uses a Bayesian spatio-temporal model to examine data from 194 provinces over 651 days, finding varying mortality rates related to geography and time.
- The results indicate that higher vaccination rates lead to lower mortality, highlighting the critical role of vaccination in managing the pandemic's effects and the importance of using detailed data analysis for effective health interventions.
