A flexible framework for local-level estimation of the effective reproductive number in geographic regions with sparse data
Abstract Background Our research focuses on local-level estimation of the effective reproductive number, which describes the transmissibility of an infectious disease and represents the average number of individuals one infectious person infects at a given time. The ability to accurately estimate th...
Saved in:
| Main Authors: | Md Sakhawat Hossain, Ravi Goyal, Natasha K. Martin, Victor DeGruttola, Mohammad Mihrab Chowdhury, Christopher McMahan, Lior Rennert |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-03-01
|
| Series: | BMC Medical Research Methodology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12874-025-02525-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SBCS-Net: Sparse Bayesian and Deep Learning Framework for Compressed Sensing in Sensor Networks
by: Xianwei Gao, et al.
Published: (2025-07-01) -
A Sparse Bayesian Technique to Learn the Frequency-Domain Active Regressors in OFDM Wireless Systems
by: Carlos Crespo-Cadenas, et al.
Published: (2025-07-01) -
SARS-Cov-2 Incidence Monitoring and Statistical Estimation of the Basic and Time-Varying Reproduction Number at the Early Onset of the Pandemic in 45 Sub-Saharan African Countries.
by: Oduro, Michael Safo, et al.
Published: (2024) -
A New Flexible Model for Three-Stage Phenomena: The Fragmented Kumar-Trapez Distribution
by: Salma Omar Bleed, et al.
Published: (2025-03-01) -
Mycobacterium paratuberculosis sheep type strain in Uruguay: Evidence for a wider geographic distribution in South America
by: Federico Giannitti, et al.
Published: (2018-03-01)