Increasing situational awareness through nowcasting of the reproduction number

The time varying reproduction number R is a critical variable for situational awareness during infectious disease outbreaks, but delays between infection and reporting hinder its accurate estimation in real time. We propose a nowcasting method for improving the timeliness and accuracy of R estimates, based on comparisons of successive versions of surveillance databases. The method was validated against COVID-19 surveillance data collected in Italy over an 18-month period. Compared to traditional methods, the nowcasted reproduction number reduced the estimation delay from 13 to 8 days, while maintaining a better accuracy. Moreover, it allowed anticipating the detection of periods of epidemic growth by between 6 and 23 days. The method offers a simple and generally applicable tool to improve situational awareness during an epidemic outbreak, allowing for informed public health response planning..

Medienart:

Preprint

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

arXiv.org - (2023) vom: 26. Sept. Zur Gesamtaufnahme - year:2023

Sprache:

Englisch

Beteiligte Personen:

Bizzotto, Andrea [VerfasserIn]
Guzzetta, Giorgio [VerfasserIn]
Marziano, Valentina [VerfasserIn]
del Manso, Martina [VerfasserIn]
Urdiales, Alberto Mateo [VerfasserIn]
Petrone, Daniele [VerfasserIn]
Cannone, Andrea [VerfasserIn]
Sacco, Chiara [VerfasserIn]
Poletti, Piero [VerfasserIn]
Manica, Mattia [VerfasserIn]
Zardini, Agnese [VerfasserIn]
Trentini, Filippo [VerfasserIn]
Fabiani, Massimo [VerfasserIn]
Bella, Antonino [VerfasserIn]
Riccardo, Flavia [VerfasserIn]
Pezzotti, Patrizio [VerfasserIn]
Ajelli, Marco [VerfasserIn]
Merler, Stefano [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Quantitative Biology - Populations and Evolution

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XAR040955419