Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Sushma, Dahal"'
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Current literature presents mixed effects of the COVID-19 pandemic on Indigenous communities. We aim to highlight potential disparities and temporal shifts in both the impact of COVID-19 and vaccine uptake among hospitalized Indig
Externí odkaz:
https://doaj.org/article/6b11cf9c4dde417e934c7c9ee48619f8
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-25 (2024)
Abstract Background Dynamical mathematical models defined by a system of differential equations are typically not easily accessible to non-experts. However, forecasts based on these types of models can help gain insights into the mechanisms driving t
Externí odkaz:
https://doaj.org/article/ccdc1cca65564a85af2737486e8ab7f9
Publikováno v:
Infectious Disease Modelling, Vol 9, Iss 2, Pp 411-436 (2024)
An ensemble n-sub-epidemic modeling framework that integrates sub-epidemics to capture complex temporal dynamics has demonstrated powerful forecasting capability in previous works. This modeling framework can characterize complex epidemic patterns, i
Externí odkaz:
https://doaj.org/article/6987f69b377c4349b3bb1396a5b6390c
Autor:
Gerardo Chowell, Amanda Bleichrodt, Sushma Dahal, Amna Tariq, Kimberlyn Roosa, James M. Hyman, Ruiyan Luo
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Simple dynamic modeling tools can help generate real-time short-term forecasts with quantified uncertainty of the trajectory of diverse growth processes unfolding in nature and society, including disease outbreaks. An easy-to-use and flexibl
Externí odkaz:
https://doaj.org/article/7685f6f0dada4c6f94d08ddc17bdeee7
Autor:
Elienai Joaquin Damas, Sushma Dahal, Ana Gloria Rivera Aguilar, Juana Garcia Morales, Lisa Sattenspiel, Svenn-Erik Mamelund, Gerardo Chowell
Publikováno v:
Discover Social Science and Health, Vol 3, Iss 1, Pp 1-19 (2023)
Abstract Background The COVID-19 pandemic has become one of the most devastating worldwide crises. The pandemic has heavily affected the most vulnerable groups, including Indigenous communities. Our study aimed to evaluate the attitudes and behaviors
Externí odkaz:
https://doaj.org/article/73691af891024a718099825fcd205b93
Autor:
Ingrid Hellem Nygaard, Sushma Dahal, Gerardo Chowell, Lisa Sattenspiel, Hilde Leikny Sommerseth, Svenn-Erik Mamelund
Publikováno v:
International Journal of Circumpolar Health, Vol 82, Iss 1 (2023)
ABSTRACTThe 1918–20 pandemic influenza killed 50–100 million people worldwide, but mortality varied by ethnicity and geography. In Norway, areas dominated by Sámi experienced 3–5 times higher mortality than the country’s average. We here use
Externí odkaz:
https://doaj.org/article/63d7573f349545c59b28e343c0453f65
Publikováno v:
BMC Medicine, Vol 21, Iss 1, Pp 1-20 (2023)
Abstract Background Beginning May 7, 2022, multiple nations reported an unprecedented surge in monkeypox cases. Unlike past outbreaks, differences in affected populations, transmission mode, and clinical characteristics have been noted. With the exis
Externí odkaz:
https://doaj.org/article/1e4b2919d44146f9bd0252b8cb9c61f9
Autor:
Sushma Dahal, Svenn-Erik Mamelund, Ruiyan Luo, Lisa Sattenspiel, Shannon Self-Brown, Gerardo Chowell
Publikováno v:
International Journal of Infectious Diseases, Vol 122, Iss , Pp 910-920 (2022)
Objectives: Indigenous populations have been disproportionately affected during pandemics. We investigated COVID-19 mortality estimates among indigenous and non-indigenous populations at national and sub-national levels in Mexico. Methods: We obtaine
Externí odkaz:
https://doaj.org/article/afc632e822df4ae79e322834a072455c
Autor:
Lisa Sattenspiel, Carolyn Orbann, Aaron Bogan, Hailey Ramirez, Sean Pirrone, Sushma Dahal, Jane A McElroy, Christopher K Wikle
Publikováno v:
PLoS ONE, Vol 18, Iss 8, p e0290294 (2023)
This study compares pandemic experiences of Missouri's 115 counties based on rurality and sociodemographic characteristics during the 1918-20 influenza and 2020-21 COVID-19 pandemics. The state's counties and overall population distribution have rema
Externí odkaz:
https://doaj.org/article/61db03de80fb4079a0770fc397309922
Publikováno v:
International Journal of Infectious Diseases, Vol 113, Iss , Pp 347-354 (2021)
Objectives: This study examined how socio-demographic, climate and population health characteristics shaped the geospatial variability in excess mortality patterns during the COVID-19 pandemic in Mexico. Methods: We used Serfling regression models to
Externí odkaz:
https://doaj.org/article/5bfe51e7514d48b182b47db019f2573d