Author: Chintalapudi, Nalini; Battineni, Gopi; Sagaro, Getu Gamo; Amenta, Francesco
Title: COVID-19 outbreak reproduction number estimations and forecasting in Marche, Italy Cord-id: tnqt1vui Document date: 2020_5_11
ID: tnqt1vui
Snippet: Abstract Background COVID-19 disease is becoming a global pandemic and more than 200 countries were affected because of this disease. Italy is one of the countries is largely suffered with this virus outbreak, and about 180,000 cases were registered which explains the large transmissibility and reproduction case numbers. Objective In this study, we considered the Marche region of Italy to compute different daily transmission rates (Rt) including five provinces in it. We also present forecasting
Document: Abstract Background COVID-19 disease is becoming a global pandemic and more than 200 countries were affected because of this disease. Italy is one of the countries is largely suffered with this virus outbreak, and about 180,000 cases were registered which explains the large transmissibility and reproduction case numbers. Objective In this study, we considered the Marche region of Italy to compute different daily transmission rates (Rt) including five provinces in it. We also present forecasting of daily and cumulative incidences associated after the next thirty days. The Marche region is the 8th in terms of number of people infected in Italy and the first in terms of diffusion of the infection among the 4 regions of the center of Italy. Methods Epidemic statistics were extracted from the national Italian Health Ministry website. We considered outbreak information where the first case registered with onset symptoms (26 February 2020) to the present date (20 April 2020). Adoption of incidence and projections with R statistics was done. Results The median values of Rt for the five provinces of Pesaro and Urbano, Ancona, Fermo, Ascoli Piceno, and Macerata, was 2.492 (1.1-4.5), 2.162 (1.0-4.0), 1.512 (0.75-2.75), 1.141 (1.0-1.6), and 1.792 (1.0-3.5) with 95% of CI achieved. The projections at end of 30th day of the cumulative incidences 323 (95% CI), and daily incidences 45 (95% CI) might be reached. Conclusions This study highlights the knowledge of essential insights into the Marche region in particular to virus transmission dynamics, geographical characteristics of positive incidences, and the necessity of implementing mitigation procedures to fight against the COVID-19 outbreak.
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