Clinical case of peripartum cardiomyopathy in the third trimester of pregnancy by V. A. Fomina, O. V. Evsina, E. A. Glazkova, V. S. Agafonova, K. A. Tkachenko

“…Based on anamnesis data (infection at the 22nd week of pregnancy), the clinical picture (symptoms of heart failure from the 36th week of gestation), instrumental research data, a clinical diagnosis was made: Peripartum cardiomyopathy. …”
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MDCK-B4GalNT2 cells disclose a α2,3-sialic acid requirement for the 2009 pandemic H1N1 A/California/04/2009 and NA aid entry of A/WSN/33 by Ho Him Wong, Kevin Fung, John M. Nicholls

“…The cell line MDCK-B4GalNT2 was used as a tool to screen for α2,3-receptor requirements in a panel of influenza viruses with previously characterized glycan array data. Infection of viruses with α2,3-receptor binding capability was inhibited in MDCK-B4GalNT2 cells, with the exception of A/WSN/33 (WSN). …”
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Clinical Characteristics and Nomogram for Predicting Mortality in Patients with Postoperative Bloodstream Infection in Surgical Intensive Care Unit by Zengli Xiao, Yao Sun, Huiying Zhao, Youzhong An

“…Methods. The clinical data, infection and pathogen-related data, and prognosis of patients with PBSI in the SICU from January 2017 to January 2022 were retrospectively collected. …”
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The latency time of SARS-CoV- 2 Delta variant in infection- and vaccine-naive individuals from Vietnam by Vera H. Arntzen, Manh Nguyen Duc, Marta Fiocco, Lan Truong Thi Thanh, Tam Nguyen Hoai Thao, Buu Mai Thanh, Tu-Anh Nguyen, Nhat Le Thanh Hoang, Marc Choisy, Lam Phung Khanh, Nga Le Hong, Ronald B. Geskus

“…Estimates of the SARS-CoV- 2 latency time are sparse due to lack of appropriate and representative data. Infection time is rarely known exactly and exposure information may be subject to several biases. …”
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Indirect genetic effects and the spread of infectious disease: are we capturing the full heritable variation underlying disease prevalence? by Debby Lipschutz-Powell, John A Woolliams, Piter Bijma, Andrea B Doeschl-Wilson

“…Though genetic variation in infectivity is difficult to measure directly, Indirect Genetic Effect (IGE) models, also referred to as associative effects or social interaction models, allow the estimation of this variance from more readily available binary disease data (infected/non-infected). We therefore generated binary disease data from simulated populations with known amounts of variation in susceptibility and infectivity to test the adequacy of traditional and IGE models. …”
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