Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Maria L. Daza-Torres"'
Autor:
Yury E. García, Miryam Elizabeth Villa-Pérez, Kuang Li, Xiao Hui Tai, Luis A. Trejo, Maria L. Daza-Torres, J. Cricelio Montesinos-López, Miriam Nuño
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionThe rise in global temperatures due to climate change has escalated the frequency and intensity of wildfires worldwide. Beyond their direct impact on physical health, these wildfires can significantly impact mental health. Conventional me
Externí odkaz:
https://doaj.org/article/c927ab8d608942c4aa7d33350bb7f56d
Autor:
J. Cricelio Montesinos-López, Maria L. Daza-Torres, Yury E. García, César Herrera, C. Winston Bess, Heather N. Bischel, Miriam Nuño
Publikováno v:
mSystems, Vol 8, Iss 4 (2023)
ABSTRACT Deployment of clinical testing on a massive scale was an essential control measure for curtailing the burden of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and the magnitude of the COVID-19 (coronavirus disease 20
Externí odkaz:
https://doaj.org/article/4ec193b26f23440584c27e57c8d9d057
Autor:
Krystin F. Kadonsky, Colleen C. Naughton, Mirjana Susa, Rachel Olson, Guadalupe L. Singh, Maria L. Daza-Torres, J. Cricelio Montesinos-López, Yury Elena Garcia, Maftuna Gafurova, Adam Gushgari, John Cosgrove, Bradley J. White, Alexandria B. Boehm, Marlene K. Wolfe, Miriam Nuño, Heather N. Bischel
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
IntroductionOver a third of the communities (39%) in the Central Valley of California, a richly diverse and important agricultural region, are classified as disadvantaged—with inadequate access to healthcare, lower socio-economic status, and higher
Externí odkaz:
https://doaj.org/article/e02cf1843dd64f18bd1fb96d634f77c6
Publikováno v:
Epidemics, Vol 39, Iss , Pp 100564- (2022)
We introduce a Bayesian sequential data assimilation and forecasting method for non-autonomous dynamical systems. We applied this method to the current COVID-19 pandemic. It is assumed that suitable transmission, epidemic and observation models are a
Externí odkaz:
https://doaj.org/article/fa09536472924fac8f0ffa7847312266
Autor:
José Cricelio Montesinos-López, Maria L. Daza-Torres, Yury E. García, Luis A. Barboza, Fabio Sanchez, Alec J. Schmidt, Brad H. Pollock, Miriam Nuño
Publikováno v:
Life, Vol 11, Iss 12, p 1336 (2021)
The rapid spread of the new SARS-CoV-2 virus triggered a global health crisis, disproportionately impacting people with pre-existing health conditions and particular demographic and socioeconomic characteristics. One of the main concerns of governmen
Externí odkaz:
https://doaj.org/article/317a2669f87d45bcb2b6ceb648e97fdb
Autor:
J. Cricelio Montesinos-López, Maria L. Daza–Torres, Yury E. García, César Herrera, C. Winston Bess, Heather N. Bischel, Miriam Nuño
Trends in COVID-19 infection have changed throughout the pandemic due to myriad factors, including changes in transmission driven by social behavior, vaccine development and uptake, mutations in the virus genome, and public health policies. Mass test
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18ac83e4f54dd993f7809914fddb2fc4
https://doi.org/10.1101/2023.01.10.23284365
https://doi.org/10.1101/2023.01.10.23284365
Autor:
Yury E. García, Leslie Solis, Maria L. Daza–Torres, Cricelio Montesinos-López, Brad H. Pollock, Miriam Nuño
ObjectiveThis study aimed to identify demographic characteristics of test participants and changes in testing participation over time in a community pandemic-response program launched in a college town in California, USA.MethodsWe described overall t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdcf86d519e361afadb3f3c405d0c6b3
https://doi.org/10.1101/2023.01.02.23284119
https://doi.org/10.1101/2023.01.02.23284119
ObjectiveTo estimate the instantaneous reproduction numberRtand the epidemic growth rates for the 2022 monkeypox outbreaks in the European region.MethodsWe gathered daily laboratory-confirmed monkeypox cases in the most affected European countries fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::539e3b7f08d512fc71900d37bf884c54
https://doi.org/10.1101/2022.12.20.22283714
https://doi.org/10.1101/2022.12.20.22283714
Autor:
Maria L. Daza–Torres, J. Cricelio Montesinos-López, Minji Kim, Rachel Olson, C. Winston Bess, Lezlie Rueda, Mirjana Susa, Linnea Tucker, Yury E. García, Alec J. Schmidt, Colleen Naughton, Brad H. Pollock, Karen Shapiro, Miriam Nuño, Heather N. Bischel
BackgroundWastewater-based epidemiology (WBE) has been deployed broadly as an early warning tool for emerging COVID-19 outbreaks. WBE can inform targeted interventions and identify communities with high transmission, enabling quick and effective resp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d1b50e7022c314547b5bb8b7eec5cb6
https://doi.org/10.1101/2022.07.16.22276772
https://doi.org/10.1101/2022.07.16.22276772
Autor:
Maria L. Daza-Torres, J. Andrés Christen, Heikki Haario, J. Cricelio Montesinos-López, Marcos A. Capistrán
Publikováno v:
International Journal for Uncertainty Quantification. 11:19-39
We elaborate on results obtained in \cite{christen2018} for controlling the numerical posterior error for Bayesian UQ problems, now considering forward maps arising from the solution of a semilinear evolution partial differential equation. Results in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1684ec21c918dbb1fb98a1f695628ed9
https://doi.org/10.1615/int.j.uncertaintyquantification.2020033516
https://doi.org/10.1615/int.j.uncertaintyquantification.2020033516