Results 41 to 50 of about 114,749 (302)

Coherent modeling of mortality patterns for age-specific subgroups [PDF]

, 2019
The recent actuarial literature has shown that mortality patterns and trajectories in closely related populations are similar in some respects and that small differences are unlikely to increase in the long run.
Giordano, G., Haberman, S., Russolillo, M.   +2 more
core   +1 more source

Forecasting Neonatal Mortality in Portugal

ITISE 2023, 2023
In order to achieve a more efficient allocation of healthcare resources in the near future, it is crucial to understand the patterns and causes of excess mortality and hospitalizations. Neonatal mortality still poses a significant challenge, particularly in developed nations where the mortality rates are already low and healthcare resources are ...
Rodrigo B. Ventura, Filipe M. Santos, Ricardo M. Magalhães, Cátia M. Salgado, Vera Dantas, Matilde V. Rosa, João M. C. Sousa, Susana M. Vieira   +7 more
openaire   +2 more sources

Well beyond the 60s? The impact of a pandemic on the growth of the older population

Geriatrics, Gerontology and Aging, 2023
Contrary to expectations that the first decades of the 21st century would experience an increase in lived time, the 2020s cast doubts on the future of old age.
Ana Amélia Camarano
doaj   +1 more source

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson, Ingrid Winship, Gary Hammerschlag, Laura Scardamaglia   +3 more
wiley   +1 more source

Probabilistic mortality forecasting with varying age-specific survival improvements

Genus, 2017
Many mortality forecasting approaches extrapolate past trends. Their predictions of the future development can be quite precise as long as turning points and/or age-shifts of mortality decline are not present. To account even for such mortality dynamics,
Christina Bohk-Ewald, Roland Rau
doaj   +1 more source

Pediatric Oncology Nursing Competencies in Latin America and the Caribbean: A Scoping Review to Inform Practice, Education, and Research

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior, Edmara Bazoni Soares Maia, Soad Fuentes‐Alabí, Courtney E. Sullivan, Monnie Abraham, Mauricio Maza, Liliana Vásquez Ponce, Regina Aparecida Garcia Lima   +7 more
wiley   +1 more source

Calendar Effect and In-Sample Forecasting Applied to Mesothelioma Mortality Data

Mathematics, 2021
In this paper, we apply and further illustrate a recently developed extended continuous chain ladder model to forecast mesothelioma deaths. Making such a forecast has always been a challenge for insurance companies as exposure is difficult or impossible ...
Alex Isakson, Simone Krummaker, María Dolores Martínez-Miranda, Ben Rickayzen   +3 more
doaj   +1 more source

NRASQ61R Expression in Lymphatic Endothelial Cells Causes Enlarged Vessels, Hemorrhagic Chylous Effusions, and High Mortality in a Mouse Model of Kaposiform Lymphangiomatosis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel, Patricia Pastura, Joshua P. Scallan, Timothy D. Le Cras   +3 more
wiley   +1 more source

Forecasting Indian infant mortality rate: An application of autoregressive integrated moving average model

Journal of Family and Community Medicine, 2019
BACKGROUND: The Infant Mortality Rate (IMR) reflects the socioeconomic development of a nation. The IMR was reduced by 28% between 2015 and 2016 (National Family Health Survey-4 [NFHS-4]) as compared to 2005–2006 (NFHS-3), from 57/1000 to 41/1000 live ...
Amit K Mishra, Chandar Sahanaa, Mani Manikandan   +2 more
doaj   +1 more source

Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge [PDF]

, 2016
Background: Early insights into the timing of the start, peak, and intensity of the influenza season could be useful in planning influenza prevention and control activities.
Allen, Christopher, Alper, David, Aman, Susan, Anil Kumar, V. S., Aslam, Anoshã, Bakach, Iurii, Barrett, Chris, BASAGNI, Stefano, Biggerstaff, Matthew, Bisset, Keith, Broniatowski, David, Brooks, Logan, Brownstein, John S., Butler, Patrick, Chakraborty, Prithwish, Chandra, Priyadarshini, Chen, Jiangzhuo, Del Valle, Sara Y., Deshpande, Alina, Dredze, Mark, Eggo, Rosalind, Eubank, Stephen, Fairchild, Geoffrey, Farrow, David, Finelli, Lyn, Fox, Spencer, Fung, Isaac Chun Hai, Gambhir, Manoj, Generous, Nicholas, GESUALDO, Francesco, Goldstein, Ed, Hao, Yi, Henderson, Jette, Hickman, Kyle S., Hickmann, Kyle S., Hyman, James M., Hyun, Sangwon, Karspeck, Alicia, Kaup, Hemchandra, Khadivi, Pejman, Krishnan, Ramesh, Laskowski, Kathy, Lewis, Bryan, Lipsitch, Marc, Lum, Kristian, Madhavan, Satish, Marathe, Madhav, Markar, Ashirwad, Mekaru, Sumiko R., Meyers, Lauren Ancel, Nagel, Anna, Nsoesie, Elaine O., Pashley, Bryanne, Paul, Michael, PERRA, NICOLA, Priedhorsky, Reid, Ramakrishnan, Anurekha, Ramakrishnan, Naren, Rosenfeld, Roni, Scarpino, Sam, Schaible, Braydon J., Scott, James, Sexton, Jessica K., Shaman, Jeffrey, Singh, Bismark, Srinivasan, Ravi, STILO, GIOVANNI, Tibshirani, Ryan J., Tozzi, Alberto E., Tse, Zion Tsz Ho, Tsou, Ming Hsiang, VELARDI, Paola, Vespignani, Alessandro, Yang, Wan, Ying, Yuchen, Zhang, Qian   +75 more
core   +1 more source