Towards Inferring Network Properties from Epidemic Data
Bull Math Biol. 2023 Dec 8;86(1):6. doi: 10.1007/s11538-023-01235-3.ABSTRACTEpidemic propagation on networks represents an important departure from traditional mass-action models. However, the high-dimensionality of the exact models poses a challenge to both mathematical analysis and parameter inference. By using mean-field models, such as the pairwise model (PWM), the high-dimensionality becomes tractable. While such models have been used extensively for model analysis, there is limited work in the context of statistical inference. In this paper, we explore the extent to which the PWM with the susceptible-infected-recover...
Source: Bulletin of Mathematical Biology - December 8, 2023 Category: Bioinformatics Authors: Istvan Z Kiss Luc Berthouze Wasiur R KhudaBukhsh Source Type: research

Selenium nanoparticles incorporated in nanofibers media eliminate H1N1 activity: a novel approach for virucidal antiviral and antibacterial respiratory mask
Environ Sci Pollut Res Int. 2023 Dec 8. doi: 10.1007/s11356-023-31202-3. Online ahead of print.ABSTRACTThe consecutive viral infectious outbreaks impose severe complications on public health besides the economic burden which led to great interest in antiviral personal protective equipment (PPE). Nanofiber-based respiratory mask has been introduced as a significant barrier to eliminate the airborne transmission from aerosols toward reduction the viral infection spreading. Herein, selenium nanoparticles incorporated in polyamide 6 nanofibers coated on spunbond nonwoven were synthesized via electrospinning technique (PA6@SeNP...
Source: Environmental Science and Pollution Research International - December 8, 2023 Category: Environmental Health Authors: Safieh Boroumand Raheleh Faridi Majidi Ali Gheibi Reza Faridi Majidi Source Type: research

Towards Inferring Network Properties from Epidemic Data
Bull Math Biol. 2023 Dec 8;86(1):6. doi: 10.1007/s11538-023-01235-3.ABSTRACTEpidemic propagation on networks represents an important departure from traditional mass-action models. However, the high-dimensionality of the exact models poses a challenge to both mathematical analysis and parameter inference. By using mean-field models, such as the pairwise model (PWM), the high-dimensionality becomes tractable. While such models have been used extensively for model analysis, there is limited work in the context of statistical inference. In this paper, we explore the extent to which the PWM with the susceptible-infected-recover...
Source: Bulletin of Mathematical Biology - December 8, 2023 Category: Bioinformatics Authors: Istvan Z Kiss Luc Berthouze Wasiur R KhudaBukhsh Source Type: research

Towards Inferring Network Properties from Epidemic Data
Bull Math Biol. 2023 Dec 8;86(1):6. doi: 10.1007/s11538-023-01235-3.ABSTRACTEpidemic propagation on networks represents an important departure from traditional mass-action models. However, the high-dimensionality of the exact models poses a challenge to both mathematical analysis and parameter inference. By using mean-field models, such as the pairwise model (PWM), the high-dimensionality becomes tractable. While such models have been used extensively for model analysis, there is limited work in the context of statistical inference. In this paper, we explore the extent to which the PWM with the susceptible-infected-recover...
Source: Bulletin of Mathematical Biology - December 8, 2023 Category: Bioinformatics Authors: Istvan Z Kiss Luc Berthouze Wasiur R KhudaBukhsh Source Type: research

Towards Inferring Network Properties from Epidemic Data
Bull Math Biol. 2023 Dec 8;86(1):6. doi: 10.1007/s11538-023-01235-3.ABSTRACTEpidemic propagation on networks represents an important departure from traditional mass-action models. However, the high-dimensionality of the exact models poses a challenge to both mathematical analysis and parameter inference. By using mean-field models, such as the pairwise model (PWM), the high-dimensionality becomes tractable. While such models have been used extensively for model analysis, there is limited work in the context of statistical inference. In this paper, we explore the extent to which the PWM with the susceptible-infected-recover...
Source: Bulletin of Mathematical Biology - December 8, 2023 Category: Bioinformatics Authors: Istvan Z Kiss Luc Berthouze Wasiur R KhudaBukhsh Source Type: research

Ambient atmospheric PM worsens mouse lung injury induced by influenza A virus through lysosomal dysfunction
CONCLUSIONS: Our findings reveal the mechanism underlying the synergistic effect of nanoparticles in the early stage of the influenza virus life cycle and may explain the increased number of respiratory patients during periods of air pollution.PMID:38057804 | DOI:10.1186/s12931-023-02618-9 (Source: Cell Research)
Source: Cell Research - December 7, 2023 Category: Cytology Authors: Shunwang Li Xiangwu Ju Qiang Liu Yiwu Yan Cong Zhang Yuhao Qin Xingyu Deng Chang Li Mingyao Tian Yanli Zhang Ningyi Jin Chengyu Jiang Source Type: research

Mortality associated with acute respiratory distress syndrome, 2009-2019: a systematic review and meta-analysis
Conclusions: Over the past decade, mortality rates due to ARDS were high. There is a clear distinction between mortality in observational studies and in randomised controlled trials. Future studies need to report mortality for different ARDS phenotypes and closely adhere to evidence-based medicine. PROSPERO registration: CRD42020149712 (April 2020).PMID:38047005 | PMC:PMC10692616 | DOI:10.51893/2022.4.OA4 (Source: Critical Care and Resuscitation)
Source: Critical Care and Resuscitation - December 4, 2023 Category: Intensive Care Authors: Divyajot Sadana Simrat Kaur Kesavan Sankaramangalam Ishan Saini Kinjal Banerjee Matthew Siuba Valentina Amaral Shruti Gadre Heather Torbic Sudhir Krishnan Abhijit Duggal Source Type: research

Comparative analysis of Respiratory Syncytial Virus frequency rates and viral load in different patient cohorts in a University Hospital in S ão Paulo, Brazil, over an eight-year period (2005-2013)
In conclusion, high RSV viral load among hospitalized patients could serve as a surrogate marker of disease severity. Additionally, patients with chronic heart disease deserve greater attention regarding complications associated with RSV infection.PMID:38043582 | DOI:10.1016/j.bjid.2023.103702 (Source: Braz J Infect Dis)
Source: Braz J Infect Dis - December 3, 2023 Category: Infectious Diseases Authors: Luciano Kleber de Souza Luna Jessica Santiago Cruz T ânia do Socorro Souza Chaves Nancy Bellei Source Type: research

Comparative analysis of Respiratory Syncytial Virus frequency rates and viral load in different patient cohorts in a University Hospital in S ão Paulo, Brazil, over an eight-year period (2005-2013)
In conclusion, high RSV viral load among hospitalized patients could serve as a surrogate marker of disease severity. Additionally, patients with chronic heart disease deserve greater attention regarding complications associated with RSV infection.PMID:38043582 | DOI:10.1016/j.bjid.2023.103702 (Source: Braz J Infect Dis)
Source: Braz J Infect Dis - December 3, 2023 Category: Infectious Diseases Authors: Luciano Kleber de Souza Luna Jessica Santiago Cruz T ânia do Socorro Souza Chaves Nancy Bellei Source Type: research

Comparative analysis of Respiratory Syncytial Virus frequency rates and viral load in different patient cohorts in a University Hospital in S ão Paulo, Brazil, over an eight-year period (2005-2013)
In conclusion, high RSV viral load among hospitalized patients could serve as a surrogate marker of disease severity. Additionally, patients with chronic heart disease deserve greater attention regarding complications associated with RSV infection.PMID:38043582 | DOI:10.1016/j.bjid.2023.103702 (Source: Braz J Infect Dis)
Source: Braz J Infect Dis - December 3, 2023 Category: Infectious Diseases Authors: Luciano Kleber de Souza Luna Jessica Santiago Cruz T ânia do Socorro Souza Chaves Nancy Bellei Source Type: research