Results 81 to 90 of about 735,761 (286)

Dynamics of multi-stage infections on networks [PDF]

, 2015
This paper investigates the dynamics of infectious diseases with a nonexponentially distributed infectious period. This is achieved by considering a multistage infection model on networks. Using pairwise approximation with a standard closure, a number of
AJ Black, AL Lloyd, AL Lloyd, CA Donnelly, CT Bauch, D Anderson, DR Cox, DT Gillespie, E Kenah, EH Kaplan, G Chowell, HJ Wearing, HTH Nguyen, HW Hethcote, I. Z. Kiss, J Ma, JC Miller, JM Hyman, JP Koplan, K Sharkey, K. B. Blyuss, KB Blyuss, KTD Eames, KTD Eames, L Danon, M Newman, M Newman, M Taylor, MEJ Newman, MI Meltzer, MJ Keeling, MJ Keeling, MJ Keeling, MJ Keeling, MJ Keeling, N MacDonald, N. Sherborne, NM Ferguson, NM Ferguson, NTJ Bailey, O Diekmann, O Diekmann, P Driessche van den, P Rattana, R Durrett, RE Hope-Simpson, RM Anderson, S Bansal, S Boccaletti, S Cauchemez, S Funk, S Riley, T House, T House, T House, TL Burr, V Andreasen, W Kermack, W-Y Chen, Z Feng   +59 more
core   +2 more sources

Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling

Advanced Healthcare Materials, EarlyView.
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee, Mehdi Salar Amoli, Sarah Rezapourdamanab, Lama Rita El Shammas, Martin L. Tomov, Emilio A. Mendiola, Vahid Serpooshan, Reza Avazmohammadi   +7 more
wiley   +1 more source

Sampling Bias in the Molecular Epidemiology of Tuberculosis

Emerging Infectious Diseases, 2002
Among the goals of the molecular epidemiology of infectious disease are to quantify the extent of ongoing transmission of infectious agents and to identify host- and strain-specific risk factors for disease spread.
Megan B. Murray
doaj   +1 more source

Decellularized Extracellular Matrix (dECM) in Tendon Regeneration: A Comprehensive Review

Advanced Healthcare Materials, EarlyView.
Decellularized Extracellular Matrix (dECM) offers a promising solution by replicating the native tendon microenvironment and promoting regeneration. This review highlights advances in the decellularization methods, as well as their integration with emerging technologies and translational progress in tendon tissue engineering.
Kumaresan Sakthiabirami, Yeonwoo Park, Seong Kyeong Jo, Min Hee Kim, Jae Hwang Song   +4 more
wiley   +1 more source

Natural selection favoring more transmissible HIV detected in United States molecular transmission network. [PDF]

, 2019
HIV molecular epidemiology can identify clusters of individuals with elevated rates of HIV transmission. These variable transmission rates are primarily driven by host risk behavior; however, the effect of viral traits on variable transmission rates is ...
Campbell, Ellsworth, Heneine, Walid, Johnson, Jeffrey A, Oster, Alexandra M, Panneer, Nivedha, Saduvala, Neeraja, Switzer, William M, Wertheim, Joel O, Zhang, Chenhua   +8 more
core  

Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy

Advanced Healthcare Materials, EarlyView.
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales, Cesar Augusto Roque‐Borda, Ana Carolina Cerqueira Negri, Oswaldo Ramirez Delgado, Letícia Oliveira Catarin Nunes, Flávia Aparecida Resende, Hernane Barud, Norival Alves Santos‐Filho, Saulo Santesso Garrido, Karen Cristina Oliveira, Alexandra Ivo de Medeiros, Rafael Miguel Sábio, Fernando Rogério Pavan   +12 more
wiley   +1 more source

Nonparametric survival analysis of epidemic data

, 2011
This paper develops nonparametric methods for the survival analysis of epidemic data based on contact intervals. The contact interval from person i to person j is the time between the onset of infectiousness in i and infectious contact from i to j, where
Aalen, Aalen, Altshuler, Becker, Becker, Carcione, Cauchemez, Cox, Dempster, Donnelly, Ferguson, Ferguson, Fine, France, Fraser, Kalbfleisch, Kaplan, Kenah, Kenah, Lee, Lipsitch, McBryde, Mills, Morgan, Müller, Nelson, Rampey, Rhodes, Roberts, Sinha, Sugimoto, Svensson, Van der Vaart, Wallinga, Wallinga, Watts, Wegman, White, Yang   +38 more
core   +1 more source

Advanced 3D Platforms for Modeling CNS Neuroinflammation: Cell Integration, Techniques, and Challenges

Advanced Healthcare Materials, EarlyView.
This review summarizes the roles of key central nervous system cell types, the extracellular matrix, and the blood‐brain barrier in neuroinflammation, and their integration into diverse 3D culture systems. It examines major incorporation strategies, including direct co‐culture, hydrogel encapsulation, transwell migration assays, and bioprinting ...
Emmanuelle D. Aiyegbusi, Julia Di Stefano, Dearbhaile Dooley   +2 more
wiley   +1 more source

Oropharyngeal Gonorrhea in Absence of Urogenital Gonorrhea in Sexual Network of Male and Female Participants, Australia, 2018

Emerging Infectious Diseases, 2019
We describe a sexual network consisting of 1 nonbinary-gendered participant and 2 male and 4 female participants in Australia, 2018. Six of 7 participants had oropharyngeal gonorrhea in the absence of urogenital gonorrhea. This observation supports a new
Vincent J. Cornelisse, Catriona S. Bradshaw, Eric P.F. Chow, Deborah A. Williamson, Christopher K. Fairley   +4 more
doaj   +1 more source

Parameter Identification for a Stochastic SEIRS Epidemic Model: Case Study Influenza [PDF]

, 2019
A recent parameter identification technique, the local lagged adapted generalized method of moments, is used to identify the time-dependent disease transmission rate and time-dependent noise for the stochastic susceptible, exposed, infectious ...
Mummert, Anna, Otunuga, Olusegun M
core   +1 more source