Cargando…
Data driven contagion risk management in low-income countries using machine learning applications with COVID-19 in South Asia
In the absence of real-time surveillance data, it is difficult to derive an early warning system and potential outbreak locations with the existing epidemiological models, especially in resource-constrained countries. We proposed a contagion risk index (CR-Index)—based on publicly available national...
Autores principales: | Shonchoy, Abu S., Mahzab, Moogdho M., Mahmood, Towhid I., Ali, Manhal |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987367/ https://www.ncbi.nlm.nih.gov/pubmed/36878910 http://dx.doi.org/10.1038/s41598-023-30348-x |
Ejemplares similares
-
Migration, externalities, and the diffusion of COVID-19 in South Asia(☆)()
por: Lee, Jean N., et al.
Publicado: (2021) -
A novel index-based decision support toolkit for safe reopening following a generalized lockdown in low and middle-income countries
por: Shonchoy, Abu S., et al.
Publicado: (2021) -
Factors Associated with Low Birthweight in Low-and-Middle Income Countries in South Asia
por: Ngo, Ngan, et al.
Publicado: (2022) -
Changing vulnerability in Asia: contagion and spillovers
por: Kangogo, Moses, et al.
Publicado: (2022) -
Improving Newborn Survival in Low-Income Countries: Community-Based Approaches and Lessons from South Asia
por: Nair, Nirmala, et al.
Publicado: (2010)