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Bang LL, Tornby DR, Pham STD, Assing K, Möller S, Palarasah Y, Madsen LW, Thomsen KG, Johansen IS, Pedersen RM, Andersen TE. Culturing of SARS-CoV-2 from patient samples: Protocol for optimal virus recovery and assessment of infectious viral load. J Virol Methods 2024; 326:114912. [PMID: 38447645 DOI: 10.1016/j.jviromet.2024.114912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/16/2024] [Accepted: 03/02/2024] [Indexed: 03/08/2024]
Abstract
Optimal sampling, preservation, and culturing of SARS-CoV-2 from COVID-19 patients are critical for successful recovery of virus isolates and to accurately estimate contagiousness of the patient. In this study, we investigated the influence of the type of sampling media, storage time, freezing conditions, sterile filtration, and combinations of these to determine the optimal pre-analytic conditions for virus recovery and estimation of infectious viral load in COVID-19 patients. Further, we investigated the viral shedding kinetics and mucosal antibody response in 38 COVID-19 hospitalized patients. We found Universal Transport Medium (Copan) to be the most optimal medium for preservation of SARS-CoV-2 infectivity. Our data showed that the probability of a positive viral culture was strongly correlated to Ct values, however some samples did not follow the general trend. We found a significant correlation between plaque forming units and levels of mucosal antibodies and found that high levels of mucosal antibodies correlated with reduced chance of isolating the virus. Our data reveals essential parameters to consider from specimen collection over storage to culturing technique for optimal chance of isolating SARS-CoV-2 and accurately estimating patient contagiousness.
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Affiliation(s)
- Line L Bang
- Department of Clinical Microbiology, Odense University Hospital and Research Unit of Clinical Microbiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Ditte R Tornby
- Department of Clinical Microbiology, Odense University Hospital and Research Unit of Clinical Microbiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Stephanie T D Pham
- Department of Cancer and Inflammation Research, Department of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - Kristian Assing
- Department of Clinical Immunology, Odense University Hospital and Research Unit for Clinical Immunology, University of Southern Denmark, Odense, Denmark
| | - Sören Möller
- Open Patient Data Explorative Network (OPEN), Department of Clinical Research, University of Southern Denmark and Odense University Hospital, Odense 5000, Denmark
| | - Yaseelan Palarasah
- Department of Cancer and Inflammation Research, Department of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - Lone W Madsen
- Department of Infectious Diseases, Odense University Hospital and Research Unit for Infectious Diseases, University of Southern Denmark, Odense, Denmark; Department of Regional Health Research, University of Southern Denmark, Denmark; Unit for Infectious Diseases, Department of medicine, Sygehus Lillebælt, Kolding, Denmark
| | - Karina G Thomsen
- Department of Clinical Microbiology, Odense University Hospital and Research Unit of Clinical Microbiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Isik S Johansen
- Department of Infectious Diseases, Odense University Hospital and Research Unit for Infectious Diseases, University of Southern Denmark, Odense, Denmark
| | - Rune M Pedersen
- Department of Clinical Microbiology, Odense University Hospital and Research Unit of Clinical Microbiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Thomas E Andersen
- Department of Clinical Microbiology, Odense University Hospital and Research Unit of Clinical Microbiology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
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Ladoy A, Opota O, Carron PN, Guessous I, Vuilleumier S, Joost S, Greub G. Size and duration of COVID-19 clusters go along with a high SARS-CoV-2 viral load: A spatio-temporal investigation in Vaud state, Switzerland. Sci Total Environ 2021; 787:147483. [PMID: 34000545 PMCID: PMC8123367 DOI: 10.1016/j.scitotenv.2021.147483] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 04/26/2021] [Accepted: 04/28/2021] [Indexed: 05/17/2023]
Abstract
To understand the geographical and temporal spread of SARS-CoV-2 during the first documented wave of infection in the state of Vaud, Switzerland, we analyzed clusters of positive cases using the precise residential location of 33,651 individuals tested (RT-PCR) between January 10 and June 30, 2020. We used a prospective Poisson space-time scan statistic (SaTScan) and a Modified Space-Time Density-Based Spatial Clustering of Application with Noise (MST-DBSCAN) to identify both space-time and transmission clusters, and estimated cluster duration, transmission behavior (emergence, growth, reduction, etc.) and relative risk. For each cluster, we computed the number of individuals, the median age of individuals and their viral load. Among the 1684 space-time clusters identified, 457 (27.1%) were significant (p ≤ 0.05), such that they harbored a higher relative risk of infection within the cluster than compared to regions outside the cluster. Clusters lasted a median of 11 days (IQR 7-13) and included a median of 12 individuals per cluster (IQR 5-20). The majority of significant clusters (n = 260; 56.9%) had at least one person with an extremely high viral load (>1 billion copies/ml). Those clusters were considerably larger (median of 17 infected individuals, p < 0.001) than clusters with individuals showing a viral load below 1 million copies/ml (median of three infected individuals). The highest viral loads were found in clusters with the lowest average age group considered in the investigation, while clusters with the highest average age had low to middle viral load. In 20 significant clusters, the viral load of the three first cases was below 100,000 copies/ml, suggesting that subjects with fewer than 100,000 copies/ml may still be contagious. Notably, the dynamics of transmission clusters made it possible to identify three diffusion zones, which predominantly differentiated between rural and urban areas, the latter being more prone to persistence and expansion, which may result in the emergence of new clusters nearby. The use of geographic information is key for public health decision makers in mitigating the spread of the SARS-CoV-2 virus. This study suggests that early localization of clusters may help implement targeted protective measures limiting the spread of the virus.
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Affiliation(s)
- Anaïs Ladoy
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; Group of Geographic Information Research and Analysis in Population Health (GIRAPH), Switzerland
| | - Onya Opota
- Institute of Microbiology, University Hospital Centre and University of Lausanne, Switzerland
| | - Pierre-Nicolas Carron
- Department of Emergency Medicine, Lausanne University Hospital, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland
| | - Idris Guessous
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; Division and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland; Group of Geographic Information Research and Analysis in Population Health (GIRAPH), Switzerland
| | - Séverine Vuilleumier
- La Source School of Nursing, University of Applied Sciences and Arts Western Switzerland (HES-SO), Lausanne, Switzerland
| | - Stéphane Joost
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; La Source School of Nursing, University of Applied Sciences and Arts Western Switzerland (HES-SO), Lausanne, Switzerland; Unit of Population Epidemiology, Division of Primary Care, Geneva University Hospitals, Switzerland; Group of Geographic Information Research and Analysis in Population Health (GIRAPH), Switzerland.
| | - Gilbert Greub
- Institute of Microbiology, University Hospital Centre and University of Lausanne, Switzerland; Infectious Diseases Service, University Hospital Centre, Lausanne, Switzerland
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Chen Y, Yao H, Fu J, Shu Q, Chen Z, Wu N, Ye S, Wang W, Ni Y, Shang S, Li W, Zheng J, Li S, Hong L, Zhang Q, Xu W, Chen J, Fan L, Cang X, Wang J, Lu X, Cao Q. The low contagiousness and new A958D mutation of SARS-CoV-2 in children: An observational cohort study. Int J Infect Dis 2021; 111:347-353. [PMID: 34454120 PMCID: PMC8384730 DOI: 10.1016/j.ijid.2021.08.036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 07/23/2021] [Accepted: 08/15/2021] [Indexed: 12/15/2022] Open
Abstract
AIMS To explore the contagiousness and new SARS-CoV-2 mutations in pediatric COVID-19. METHODS This cohort study enrolled all pediatric patients admitted to 8 hospitals in Zhejiang Province of China between 21 January and 29 February 2020, their family members and close-contact classmates. Epidemiological, demographic, clinical and laboratory data were collected. Bioinformatics was used to analyze the features of SARS-CoV-2. Individuals were divided into 3 groups by the first-generation case: Groups 1 (unclear), 2 (adult), and 3 (child). The secondary attack rate (SAR) and R0 were compared among the groups. RESULTS The infection rate among 211 individuals was 64% (135/211). The SAR in Groups 2 and 3 was 71% (73/103) and 3% (1/30), respectively; the median R0 in Groups 2 and 3 was 2 (range: 1-8) and 0 (range: 0-1), respectively. Compared with adult cases, the SAR and R0 of pediatric cases were significantly lower (p<0.05). We obtained SARS-CoV-2 sequences from the same infant's throat and fecal samples at a two-month interval and found that the new spike protein A958D mutation detected in the stool improved thermostability theoretically. CONCLUSIONS Children have lower ability to spread SARS-CoV-2. The new A958D mutation is a potential reason for its long residence in the intestine.
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Affiliation(s)
- Yinghu Chen
- The Children's Hospital, National Clinical Research Center for Child Health, Children's Regional Medical Center, Zhejiang University School of Medicine, Hangzhou, China
| | - Hangping Yao
- The Biosafety Tertiary Laboratory, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. National Clinical Research Center for Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine. Qingchun Road 69#, Hangzhou City, Zhejiang Province, China
| | - Junfen Fu
- The Children's Hospital, National Clinical Research Center for Child Health, Children's Regional Medical Center, Zhejiang University School of Medicine, Hangzhou, China.
| | - Qiang Shu
- The Children's Hospital, National Clinical Research Center for Child Health, Children's Regional Medical Center, Zhejiang University School of Medicine, Hangzhou, China.
| | - Zhimin Chen
- The Children's Hospital, National Clinical Research Center for Child Health, Children's Regional Medical Center, Zhejiang University School of Medicine, Hangzhou, China
| | - Nanping Wu
- The Biosafety Tertiary Laboratory, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. National Clinical Research Center for Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine. Qingchun Road 69#, Hangzhou City, Zhejiang Province, China
| | - Sheng Ye
- The Children's Hospital, National Clinical Research Center for Child Health, Children's Regional Medical Center, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Wang
- The Children's Hospital, National Clinical Research Center for Child Health, Children's Regional Medical Center, Zhejiang University School of Medicine, Hangzhou, China
| | - Yan Ni
- The Children's Hospital, National Clinical Research Center for Child Health, Children's Regional Medical Center, Zhejiang University School of Medicine, Hangzhou, China
| | - Shiqiang Shang
- The Children's Hospital, National Clinical Research Center for Child Health, Children's Regional Medical Center, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Li
- The Children's Hospital, National Clinical Research Center for Child Health, Children's Regional Medical Center, Zhejiang University School of Medicine, Hangzhou, China
| | - Jishan Zheng
- Infection Disease Department, Ningbo Women & Children's Hospital, Ningbo, China
| | - Shibo Li
- Infection Disease Department, Zhoushan Hospital, Wenzhou Medical University, Zhoushan, China
| | - Liang Hong
- Infection Disease Department, Rui'an People's Hospital, Rui'an, China
| | - Qi Zhang
- Infection Disease Department, Affiliated Hospital of Jiaxing University, Jiaxin, China
| | - Weize Xu
- The Children's Hospital, National Clinical Research Center for Child Health, Children's Regional Medical Center, Zhejiang University School of Medicine, Hangzhou, China
| | | | - Lingyan Fan
- Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China
| | - Xiaohui Cang
- The Children's Hospital, National Clinical Research Center for Child Health, Children's Regional Medical Center, Zhejiang University School of Medicine, Hangzhou, China; Institute of Genetics, and Department of Genetics, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianbing Wang
- The Children's Hospital, National Clinical Research Center for Child Health, Children's Regional Medical Center, Zhejiang University School of Medicine, Hangzhou, China; Department of Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiangyun Lu
- The Biosafety Tertiary Laboratory, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. National Clinical Research Center for Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine. Qingchun Road 69#, Hangzhou City, Zhejiang Province, China
| | - Qingyi Cao
- The Biosafety Tertiary Laboratory, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. National Clinical Research Center for Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine. Qingchun Road 69#, Hangzhou City, Zhejiang Province, China
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Wierzbicka M, Klussmann JP, San Giorgi MR, Wuerdemann N, Dikkers FG. Oral and laryngeal HPV infection: Incidence, prevalence and risk factors, with special regard to concurrent infection in head, neck and genitals. Vaccine 2021; 39:2344-2350. [PMID: 33812740 DOI: 10.1016/j.vaccine.2021.03.047] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 03/09/2021] [Accepted: 03/10/2021] [Indexed: 12/20/2022]
Abstract
This review focuses on the importance of oral and laryngeal HPV infection which is present in majority of sexually active individuals at least once in their lifetime. Despite testing, still little is known about prevalence rates, determinants and, especially, the concurrent HPV infection in head and neck, and genitals. The purpose of this review is to clarify some issues of oral HPV incidence, prevalence, and to demonstrate the difficulties in identification of asymptomatic oral HPV carriers. The main premise to take up this topic is the high and still increasing risk for development of oropharyngeal cancer, and potential benefit from screening strategies, education programs and HPV vaccination. Transmission of HPV to the oral cavity and oropharynx is hypothesized to occur mainly through sexual contact. The exposure of oropharyngeal mucosa to HPV infection with consequence of increased risk for oropharyngeal carcinoma depends on specific sexual behavior. Male gender, older age, race or ethnicity, oral hygiene and current cigarette smoking are independently associated with any prevalent oral HPV infection.
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Affiliation(s)
- Malgorzata Wierzbicka
- Department of Otolaryngology and Laryngological Oncology, University of Medical Sciences, 49 Stanisława Przybyszewskiego, 60-357 Poznań, Poland
| | - Jens Peter Klussmann
- ENT Clinic of the University Hospital of Cologne, Kerpener Str. 62, 50931 Cologne, Germany
| | - Michel R San Giorgi
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands
| | - Nora Wuerdemann
- ENT Clinic of the University Hospital of Cologne, Kerpener Str. 62, 50931 Cologne, Germany
| | - Frederik G Dikkers
- Amsterdam UMC, University of Amsterdam, Department of Otorhinolaryngology, Head and Neck Surgery, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands.
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Jing QL, Li YG, Ma MM, Gu YZ, Li K, Ma Y, Wu D, Wu Y, Luo L, Zhang ZB. [ Contagiousness and secondary attack rate of 2019 novel coronavirus based on cluster epidemics of COVID-19 in Guangzhou]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:1623-1626. [PMID: 32388933 DOI: 10.3760/cma.j.cn112338-20200310-00305] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the contagiousness and secondary attack rate of 2019 novel coronavirus in cluster epidemics in Guangzhou and provide evidence for the prevention and control of COVID-19. Methods: All the individuals identified to be infected with 2019-nCoV in Guangzhou, including confirmed cases and asymptomatic cases, were included and classified as imported cases and local cases. The first case of each cluster epidemic was defined as index case, and the number of subsequent infections was calculated to evaluate the contagiousness and secondary attack rate of 2019 novel coronavirus in the shortest incubation period of 1-3 days. Results: As of 18 February, 2020, a total of 349 cases of 2019-nCoV infection, including 339 confirmed cases (97.13%) and 10 asymptomatic cases (2.87%) were reported in Guangzhou. There were 68 clusters involving 217 2019-nCoV infection cases (210 confirmed cases and 7 asymptomatic cases). The median number of subsequent infections caused by an index case in a cluster epidemic was 3, among which 2 were confirmed cases and 1 was asymptomatic cases, respectively. The average number of contagiousness was 2.18 in shorted incubation period of 1-3 days (The average number of infected cases were 2.18 cases by the index case in a cluster epidemic), the average infection number in family members was 1.86, and the infection ratio of family member transmission was 85.32% (1.86/2.18). The secondary attack rate in close contacts with shortest incubation period of 1-3 days was 17.12%-18.99%, the secondary attack rate in family members was 46.11%-49.56%. Conclusions: The cluster epidemic of COVID-19 in Guangzhou mainly occurred in families, the contagiousness was high. It is necessary to strengthen the prevention and control to reduce the community transmission of COVID-19.
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Affiliation(s)
- Q L Jing
- Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Y G Li
- Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou 510440, China
| | - M M Ma
- Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Y Z Gu
- Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou 510440, China
| | - K Li
- Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Y Ma
- Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou 510440, China
| | - D Wu
- Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Y Wu
- Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou 510440, China
| | - L Luo
- Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Z B Zhang
- Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou 510440, China
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Al-Wassia R, Al-Zaben F, Sehlo MG, Koenig HG. Religiosity and Beliefs About the Transmission of Cancer, Chemotherapy, and Radiation Through Physical Contact in Saudi Arabia. J Relig Health 2019; 58:221-235. [PMID: 30554303 DOI: 10.1007/s10943-018-00745-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
We examined relationships between religiosity and Saudi cancer patients' beliefs about the spread of cancer, chemotherapy, and radiation therapy through close physical contact. Surveyed were 64 patients seen in university oncology clinics. Assessed were beliefs about the spread of cancer and its treatments, along with religious, demographic, social, psychological, and cancer-related characteristics. Greater religiosity was related to older age, non-Saudi nationality, less anxiety, earlier cancer stage, and greater time since initial diagnosis. Non-significant trends suggested that religious practices were associated with less, but intrinsic religious beliefs with more concern about contagiousness, although the findings were limited by low statistical power.
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Affiliation(s)
- Rolina Al-Wassia
- Department of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Faten Al-Zaben
- Department of Psychiatry, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mohammad Gamal Sehlo
- Department of Psychiatry, King Abdulaziz University, Jeddah, Saudi Arabia
- King Abdulaziz University, Jeddah, Saudi Arabia
- Zagazig University, Zagazig, Egypt
| | - Harold G Koenig
- Department of Psychiatry, King Abdulaziz University, Jeddah, Saudi Arabia.
- King Abdulaziz University, Jeddah, Saudi Arabia.
- Duke University Medical Center, Box 3400, Durham, NC, 27710, USA.
- School of Public Health, Ningxia Medical University, Yinchuan, People's Republic of China.
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7
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Abstract
Background Pandemic is a typical spreading phenomenon that can be observed in the human society and is dependent on the structure of the social network. The Susceptible-Infective-Recovered (SIR) model describes spreading phenomena using two spreading factors; contagiousness (β) and recovery rate (γ). Some network models are trying to reflect the social network, but the real structure is difficult to uncover. Methods We have developed a spreading phenomenon simulator that can input the epidemic parameters and network parameters and performed the experiment of disease propagation. The simulation result was analyzed to construct a new marker VRTP distribution. We also induced the VRTP formula for three of the network mathematical models. Results We suggest new marker VRTP (value of recovered on turning point) to describe the coupling between the SIR spreading and the Scale-free (SF) network and observe the aspects of the coupling effects with the various of spreading and network parameters. We also derive the analytic formulation of VRTP in the fully mixed model, the configuration model, and the degree-based model respectively in the mathematical function form for the insights on the relationship between experimental simulation and theoretical consideration. Conclusions We discover the coupling effect between SIR spreading and SF network through devising novel marker VRTP which reflects the shifting effect and relates to entropy.
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Affiliation(s)
- Kiseong Kim
- Department of Bio and Brain Engineering, KAIST, Daejeon, South Korea
| | - Sangyeon Lee
- Department of Bio and Brain Engineering, KAIST, Daejeon, South Korea
| | - Doheon Lee
- Department of Bio and Brain Engineering, KAIST, Daejeon, South Korea. .,Bio-Synergy Research Center, Daejeon, South Korea.
| | - Kwang Hyung Lee
- Department of Bio and Brain Engineering, KAIST, Daejeon, South Korea.
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