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Article ; Online: Synergistic effects of vaccination and virus testing on the transmission of an infectious disease.

Han, Lili / He, Mingfeng / He, Xiao / Pan, Qiuhui

Mathematical biosciences and engineering : MBE

2023 Volume 20, Issue 9, Page(s) 16114–16130

Abstract: Under the background that asymptomatic virus carriers have infectivity for an infectious disease, we establish a difference equations model with vaccination and virus testing in this paper. Assuming that the vaccine is 100% effective for susceptible ... ...

Abstract	Under the background that asymptomatic virus carriers have infectivity for an infectious disease, we establish a difference equations model with vaccination and virus testing in this paper. Assuming that the vaccine is 100% effective for susceptible people but cannot stop the infectivity of asymptomatic virus carriers, we study how to combine vaccination and virus testing at the beginning of an epidemic to effectively block the spread of infectious disease in different population sizes. By considering the daily processing capacity of the vaccine and daily proportion of testing, the corresponding numerical simulation results are obtained. It is shown that when vaccine availability and virus testing capacity are insufficient, a reasonable combination of the above two measures can slow down or even block the spread of infectious disease. Single virus testing or vaccination can also block the spread of infectious disease, but this requires a lot of manpower, material and financial resources. When the daily proportion of virus testing is fixed, the ratio of the minimum daily processing capacity of vaccines used to block the spread of infectious disease to the corresponding population size is rather stable. It demonstrates that effective protective measures of the same infectious disease in countries and regions with different population sizes can be used as a reference. These results also provide a certain reference for decision makers on how to coordinate vaccines and virus testing resources to curb the spread of such an infectious disease in a certain population size.
MeSH term(s)	Humans ; Communicable Diseases/epidemiology ; Vaccination/methods ; Vaccines ; Epidemics/prevention & control ; Computer Simulation
Chemical Substances	Vaccines
Language	English
Publishing date	2023-11-02
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2265126-3
ISSN	1551-0018 ; 1551-0018
ISSN (online)	1551-0018
ISSN	1551-0018
DOI	10.3934/mbe.2023719
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Correction: Li et al. m

Li, Guohui / Deng, Liang / Huang, Nan / Cui, Zhongqi / Wu, Qi / Ma, Ji / Pan, Qiuhui / Sun, Fenyong

Genes

2023 Volume 14, Issue 8

Abstract: In the original publication [ ... ]. ...

Abstract	In the original publication [...].
Language	English
Publishing date	2023-08-01
Publishing country	Switzerland
Document type	Published Erratum
ZDB-ID	2527218-4
ISSN	2073-4425 ; 2073-4425
ISSN (online)	2073-4425
ISSN	2073-4425
DOI	10.3390/genes14081575
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: The Impacts of Medical Resources on Emerging Self-Limiting Infectious Diseases

Dayong Zhou / Liyan Gao / Qiuhui Pan / Mingfeng He

Applied Sciences, Vol 12, Iss 4255, p

2022 Volume 4255

Abstract: The spread of emerging self-limiting infectious diseases is closely related to medical resources. This paper introduces the concept of safe medical resources, i.e., the minimum medical resources that are needed to prevent the overburden of medical ... ...

Abstract	The spread of emerging self-limiting infectious diseases is closely related to medical resources. This paper introduces the concept of safe medical resources, i.e., the minimum medical resources that are needed to prevent the overburden of medical resources, and explores the impacts of medical resources on the spread of emerging self-limiting infectious diseases. The results showed that when the isolation rate of hospitalized patients who have mild infections is low, increasing the isolation rate of patients with severe infections requires safe more medical resources. On the contrary, when the isolation rate of hospitalized patients with mild infections is at a high level, increasing the isolation rate of patients with severe infections results in a decrease in safe medical resources. Furthermore, when the isolation rates of patients with mild and severe infections increase simultaneously, safe medical resources decrease gradually. That is to say, when the medical resources are at a low level, it is more necessary to improve the isolation rates of infected individuals so as to avoid the phenomenon of overburdened medical resources and control the spread of emerging infectious diseases. In addition, overwhelmed medical resources increase the number of deaths. Meanwhile, for different emerging self-limiting infectious diseases, as long as the recovery periods are the same, safe medical resources also remain the same.
Keywords	self-limiting ; emerging infectious diseases ; SEIHR model ; overwhelmed medical resources ; isolation rate ; numerical simulation ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	302
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Exploring the dynamic variations of viral genomes via a novel genetic network.

Zhang, Yuyan / Wen, Jia / Xi, Kun / Pan, Qiuhui

Molecular phylogenetics and evolution

2022 Volume 175, Page(s) 107583

Abstract: Exploring the dynamic variations of viral genomes utilizing with a phylogenetic analysis is vital to control the pandemic and stop its waves. Genetic network can be applied to depict the complicated evolution relationships of viral genomes. However, ... ...

Abstract	Exploring the dynamic variations of viral genomes utilizing with a phylogenetic analysis is vital to control the pandemic and stop its waves. Genetic network can be applied to depict the complicated evolution relationships of viral genomes. However, current phylogenetic methods cannot handle the cases with deletions effectively. Therefore, the k-mer natural vector is employed to characterize the compositions and distribution features of k-mers occurring in a viral genome, and construct a one-to-one relationship between a viral genome and its k-mer natural vector. Utilizing the k-mer natural vector, we proposed a novel genetic network to investigate the variations of viral genomes in transmission among humans. With the assistance of genetic network, we identified the super-spreaders that were responsible for the pandemic outbreaks all over the world and chose the parental strains to evaluate the effectiveness of diagnostics, therapeutics, and vaccines. The obtaining results fully demonstrated that our genetic network can truly describe the relationships of viral genomes, effectively simulate virus spread tendency, and trace the transmission routes precisely. In addition, this work indicated that the k-mer natural vector has the ability to capture established hotspots of diversities existing in the viral genomes and understand how genomic contents change over time.
MeSH term(s)	Gene Regulatory Networks ; Genome, Viral ; Genomics ; Humans ; Phylogeny ; Viruses
Language	English
Publishing date	2022-07-08
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	33610-5
ISSN	1095-9513 ; 1055-7903
ISSN (online)	1095-9513
ISSN	1055-7903
DOI	10.1016/j.ympev.2022.107583
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Article: Effects of masks on the transmission of infectious diseases.

Han, Lili / Pan, Qiuhui / Kang, Baolin / He, Mingfeng

Advances in difference equations

2021 Volume 2021, Issue 1, Page(s) 169

Abstract: In the present paper, based on the conditions that asymptomatic virus carriers are contagious and all symptomatic infected individuals wear masks, we study the impact of wearing masks in the susceptible and the asymptomatic virus carriers on the spread ... ...

Abstract	In the present paper, based on the conditions that asymptomatic virus carriers are contagious and all symptomatic infected individuals wear masks, we study the impact of wearing masks in the susceptible and the asymptomatic virus carriers on the spread of infectious diseases by developing a differential equation model. At first, we give the existence, uniqueness, boundedness, and positivity of the solution as well as the basic reproduction number
Language	English
Publishing date	2021-03-18
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2132815-8
ISSN	1687-1847 ; 1687-1839
ISSN (online)	1687-1847
ISSN	1687-1839
DOI	10.1186/s13662-021-03321-z
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Article ; Online: Proximity-Enhanced Functional Imaging Analysis of Engineered Tumors.

Chen, Tianshu / Mao, Siwei / Ma, Ji / Tang, Xiaochen / Zhu, Rui / Mao, Dongsheng / Zhu, Xiaoli / Pan, Qiuhui

Angewandte Chemie (International ed. in English)

2024 Volume 63, Issue 14, Page(s) e202319117

Abstract: Functional imaging (FI) techniques have revolutionized tumor imaging by providing information on specific tumor functions, such as glycometabolism. However, tumor cells lack unique molecular characteristics at the molecular level and metabolic pathways, ... ...

Abstract	Functional imaging (FI) techniques have revolutionized tumor imaging by providing information on specific tumor functions, such as glycometabolism. However, tumor cells lack unique molecular characteristics at the molecular level and metabolic pathways, resulting in limited metabolic differences compared to normal cells and increased background signals from FI. To address this limitation, we developed a novel imaging technique termed proximity-enhanced functional imaging (PEFI) for accurate visualization of tumors. By using "two adjacent chemically labeled glycoproteins" as output signals, we significantly enhance the metabolic differences between tumor and normal cells by PEFI, thereby reducing the background signals for analysis and improving the accuracy of tumor functional imaging. Our results demonstrate that PEFI can accurately identify tumors at the cellular, tissue, and animal level, and has potential value in clinical identification and analysis of tumor cells and tissues, as well as in the guidance of clinical tumor resection surgery.
MeSH term(s)	Animals ; Diagnostic Imaging ; Brain Neoplasms
Language	English
Publishing date	2024-02-19
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2011836-3
ISSN	1521-3773 ; 1433-7851
ISSN (online)	1521-3773
ISSN	1433-7851
DOI	10.1002/anie.202319117
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Article ; Online: Causal relationship between sex hormone-binding globulin and risk of neuroblastoma: A bidirectional two-sample Mendelian randomization study.

Wu, Han / Ding, Miao / Zhu, Jiabei / Mao, Siwei / Tang, Xiaochen / Fang, Sijia / Liu, Li / Pan, Qiuhui / Yue, Chaoyan

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

2024

Abstract: Background: The causal relationship between sex hormone-binding globulin (SHBG) and neuroblastoma (NB) remains unknown. This study aimed to explore the causality between SHBG and the risk of NB using bidirectional two-sample Mendelian randomization (MR) ...

Abstract	Background: The causal relationship between sex hormone-binding globulin (SHBG) and neuroblastoma (NB) remains unknown. This study aimed to explore the causality between SHBG and the risk of NB using bidirectional two-sample Mendelian randomization (MR) study. Methods: Instrumental variables associated with SHBG were obtained from the genome-wide association study (GWAS) of European containing 214,989 females and 185,221 males from the UK Biobank. Summary-level data for NB were derived from the IEU OpenGWAS project with 1,627 patients and 3,254 controls. The inverse-variance weighted (IVW) method served as the primary analytical tool. Results: The IVW method revealed a significant positive causal relationship between male SHBG and the risk of NB [odds ratio (OR) = 2.169, 95% confidence interval (CI): 1.207-3.897, P = 0.010]. Conversely, female SHBG showed no significant causal link with NB [IVW OR = 1.004, 95% CI: 0.542-1.860, P = 0.990]. No significant reverse causality was detected. Sensitivity analyses validated these findings. Conclusions: Elevated SHBG levels in males, but not in females, can causally increase the risk of NB. This gender-specific effect indicates a potential differential role of SHBG in the etiology of NB. Further research is needed to elucidate the underlying mechanisms of this gender disparity. Monitoring SHBG levels, especially in males, could be pivotal in NB risk assessment and management. Impact: This study highlights a novel gender-specific aspect in the risk of NB, emphasizing the potential role of male SHBG levels in NB incidence, and sets the stage for targeted preventative strategies and further investigation into gender-based biological mechanisms.
Language	English
Publishing date	2024-03-26
Publishing country	United States
Document type	Journal Article
ZDB-ID	1153420-5
ISSN	1538-7755 ; 1055-9965
ISSN (online)	1538-7755
ISSN	1055-9965
DOI	10.1158/1055-9965.EPI-23-1480
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Article: Exploring the dynamic variations of viral genomes via a novel genetic network

Zhang, Yuyan / Wen, Jia / Xi, Kun / Pan, Qiuhui

Molecular phylogenetics and evolution. 2022 Oct., v. 175

2022

Abstract	Exploring the dynamic variations of viral genomes utilizing with a phylogenetic analysis is vital to control the pandemic and stop its waves. Genetic network can be applied to depict the complicated evolution relationships of viral genomes. However, current phylogenetic methods cannot handle the cases with deletions effectively. Therefore, the k-mer natural vector is employed to characterize the compositions and distribution features of k-mers occurring in a viral genome, and construct a one-to-one relationship between a viral genome and its k-mer natural vector. Utilizing the k-mer natural vector, we proposed a novel genetic network to investigate the variations of viral genomes in transmission among humans. With the assistance of genetic network, we identified the super-spreaders that were responsible for the pandemic outbreaks all over the world and chose the parental strains to evaluate the effectiveness of diagnostics, therapeutics, and vaccines. The obtaining results fully demonstrated that our genetic network can truly describe the relationships of viral genomes, effectively simulate virus spread tendency, and trace the transmission routes precisely. In addition, this work indicated that the k-mer natural vector has the ability to capture established hotspots of diversities existing in the viral genomes and understand how genomic contents change over time.
Keywords	diagnostic techniques ; genomics ; pandemic ; phylogeny ; therapeutics ; viral genome ; viruses
Language	English
Dates of publication	2022-10
Publishing place	Elsevier Inc.
Document type	Article
ZDB-ID	33610-5
ISSN	1095-9513 ; 1055-7903
ISSN (online)	1095-9513
ISSN	1055-7903
DOI	10.1016/j.ympev.2022.107583
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Injurious information propagation and its global stability considering activity and normalized recovering rate.

Chaoqian Wang / Ziwei Wang / Qiuhui Pan

PLoS ONE, Vol 16, Iss 10, p e

2021 Volume 0258859

Abstract: This paper establishes a compartment model describing the propagation of injurious information among a well-mixed population. We define the information's injuriousness as the people practicing the information being injured and leaving the system. Some ... ...

Abstract	This paper establishes a compartment model describing the propagation of injurious information among a well-mixed population. We define the information's injuriousness as the people practicing the information being injured and leaving the system. Some informed people practice the information and are active, while others do not practice and are inactive. With the recovery resources fixed, the two groups of informed people's recovering rates are normalized considering the information features. The stability of the nonlinear system is thoroughly studied. Analyzing the reproduction number of the injurious information, we find that in general parameter space, when there are people in an informed compartment, it is not always necessary to consider their recovery resource allocation. Instead, only when their proportion reaches a critical point should it be allocated. Unless the people in an informed compartment form a certain proportion, we can take a laissez-faire attitude towards them. In a more realistic parameter space, once inactive informed people exist, they should be allocated recovery resources. On the one hand, when the recovering rate rises, the focus on both groups of informed people is necessary for more situations. On the other hand, when the rate of active informed people leaving the system rises, ignoring active informed people benefits removing the injurious information in more cases. The model provides qualitative ways in the scenarios of removing injurious information.
Keywords	Medicine ; R ; Science ; Q
Subject code	306
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Injurious information propagation and its global stability considering activity and normalized recovering rate

Chaoqian Wang / Ziwei Wang / Qiuhui Pan

PLoS ONE, Vol 16, Iss

2021 Volume 10

Abstract: This paper establishes a compartment model describing the propagation of injurious information among a well-mixed population. We define the information’s injuriousness as the people practicing the information being injured and leaving the system. Some ... ...

Abstract	This paper establishes a compartment model describing the propagation of injurious information among a well-mixed population. We define the information’s injuriousness as the people practicing the information being injured and leaving the system. Some informed people practice the information and are active, while others do not practice and are inactive. With the recovery resources fixed, the two groups of informed people’s recovering rates are normalized considering the information features. The stability of the nonlinear system is thoroughly studied. Analyzing the reproduction number of the injurious information, we find that in general parameter space, when there are people in an informed compartment, it is not always necessary to consider their recovery resource allocation. Instead, only when their proportion reaches a critical point should it be allocated. Unless the people in an informed compartment form a certain proportion, we can take a laissez-faire attitude towards them. In a more realistic parameter space, once inactive informed people exist, they should be allocated recovery resources. On the one hand, when the recovering rate rises, the focus on both groups of informed people is necessary for more situations. On the other hand, when the rate of active informed people leaving the system rises, ignoring active informed people benefits removing the injurious information in more cases. The model provides qualitative ways in the scenarios of removing injurious information.
Keywords	Medicine ; R ; Science ; Q
Subject code	306
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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