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Sterian M, Samra A, Pussegoda K, Corrin T, Qamar M, Baumeister A, Israr I, Waddell L. An evaluation of the preprints produced at the beginning of the 2022 mpox public health emergency. Res Integr Peer Rev 2024; 9:11. [PMID: 39370503 PMCID: PMC11457328 DOI: 10.1186/s41073-024-00152-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 09/13/2024] [Indexed: 10/08/2024] Open
Abstract
BACKGROUND Preprints are scientific articles that have not undergone the peer-review process. They allow the latest evidence to be rapidly shared, however it is unclear whether they can be confidently used for decision-making during a public health emergency. This study aimed to compare the data and quality of preprints released during the first four months of the 2022 mpox outbreak to their published versions. METHODS Eligible preprints (n = 76) posted between May to August 2022 were identified through an established mpox literature database and followed to July 2024 for changes in publication status. Quality of preprints and published studies was assessed by two independent reviewers to evaluate changes in quality, using validated tools that were available for the study design (n = 33). Tools included the Newcastle-Ottawa Scale; Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2); and JBI Critical Appraisal Checklists. The questions in each tool led to an overall quality assessment of high quality (no concerns with study design, conduct, and/or analysis), moderate quality (minor concerns) or low quality (several concerns). Changes in data (e.g. methods, outcomes, results) for preprint-published pairs (n = 60) were assessed by one reviewer and verified by a second. RESULTS Preprints and published versions that could be evaluated for quality (n = 25 pairs) were mostly assessed as low quality. Minimal to no change in quality from preprint to published was identified: all observational studies (10/10), most case series (6/7) and all surveillance data analyses (3/3) had no change in overall quality, while some diagnostic test accuracy studies (3/5) improved or worsened their quality assessment scores. Among all pairs (n = 60), outcomes were often added in the published version (58%) and less commonly removed (18%). Numerical results changed from preprint to published in 53% of studies, however most of these studies (22/32) had changes that were minor and did not impact main conclusions of the study. CONCLUSIONS This study suggests the minimal changes in quality, results and main conclusions from preprint to published versions supports the use of preprints, and the use of the same critical evaluation tools on preprints as applied to published studies, in decision-making during a public health emergency.
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Affiliation(s)
- Melanie Sterian
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, Canada.
| | - Anmol Samra
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, Canada
- Department of Population Medicine, University of Guelph, Guelph, Canada
| | - Kusala Pussegoda
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, Canada
| | - Tricia Corrin
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, Canada
| | - Mavra Qamar
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, Canada
| | - Austyn Baumeister
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, Canada
| | - Izza Israr
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, Canada
- Department of Population Medicine, University of Guelph, Guelph, Canada
| | - Lisa Waddell
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, Canada
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Gupta S, Kaur R, Sohal JS, Singh SV, Das K, Sharma MK, Singh J, Sharma S, Dhama K. Countering Zoonotic Diseases: Current Scenario and Advances in Diagnostics, Monitoring, Prophylaxis and Therapeutic Strategies. Arch Med Res 2024; 55:103037. [PMID: 38981342 DOI: 10.1016/j.arcmed.2024.103037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 05/24/2024] [Accepted: 06/25/2024] [Indexed: 07/11/2024]
Abstract
Human life and health have interacted reciprocally with the surrounding environment and animal fauna for ages. This relationship is evident in developing nations, where human life depends more on the animal population for food, transportation, clothing, draft power, and fuel sources, among others. This inseparable link is a potent source of public health issues, especially in outbreaks of zoonotic diseases transmitted from animals to humans. Zoonotic diseases are referred to as diseases that are naturally transmitted between vertebrate animals and humans. Among the globally emerging diseases in the last decade, 75% are of animal origin, most of which are life-threatening. Since most of them are caused by potent new pathogens capable of long-distance transmission, the impact is widespread and has serious public health and economic consequences. Various other factors also contribute to the transmission, spread, and outbreak of zoonotic diseases, among which industrialization-led globalization followed by ecological disruption and climate change play a critical role. In this regard, all the possible strategies, including advances in rapid and confirmatory disease diagnosis and surveillance/monitoring, immunization/vaccination, therapeutic approaches, appropriate prevention and control measures to be adapted, and awareness programs, need to be adopted collaboratively among different health sectors in medical, veterinary, and concerned departments to implement the necessary interventions for the effective restriction, minimization, and timely control of zoonotic threats. The present review focuses on the current scenario of zoonotic diseases and their counteracting approaches to safeguard their health impact on humans.
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Affiliation(s)
- Saurabh Gupta
- Department of Biotechnology, Institute of Applied Sciences and Humanities, GLA University, Chaumuhan, Uttar Pradesh, India.
| | - Rasanpreet Kaur
- Department of Biotechnology, Institute of Applied Sciences and Humanities, GLA University, Chaumuhan, Uttar Pradesh, India
| | - Jagdip Singh Sohal
- Centre for Vaccine and Diagnostic Research, GLA University, Mathura, Uttar Pradesh, India
| | - Shoor Vir Singh
- Department of Biotechnology, Institute of Applied Sciences and Humanities, GLA University, Chaumuhan, Uttar Pradesh, India
| | - Kaushik Das
- Biotechnology Research and Innovation Council-National Institute of Biomedical Genomics, West Bengal, India
| | - Manish Kumar Sharma
- Department of Biotechnology, Dr. Rammanohar Lohia Avadh University, Uttar Pradesh, India
| | - Jitendra Singh
- Department of Translational Medicine, All India Institute of Medical Sciences, Saket Nagar, Madhya Pradesh, India
| | - Shalini Sharma
- Department of Veterinary Physiology and Biochemistry, LUVAS, Hisar, Haryana, India; Division of Veterinary Physiology and Biochemistry, SKUAST-J, Jammu, India
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Uttar Pradesh, India
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Das HK. Exploring the dynamics of monkeypox transmission with data-driven methods and a deterministic model. FRONTIERS IN EPIDEMIOLOGY 2024; 4:1334964. [PMID: 38840980 PMCID: PMC11150605 DOI: 10.3389/fepid.2024.1334964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 04/01/2024] [Indexed: 06/07/2024]
Abstract
Introduction Mpox (formerly monkeypox) is an infectious disease that spreads mostly through direct contact with infected animals or people's blood, bodily fluids, or cutaneous or mucosal lesions. In light of the global outbreak that occurred in 2022-2023, in this paper, we analyzed global Mpox univariate time series data and provided a comprehensive analysis of disease outbreaks across the world, including the USA with Brazil and three continents: North America, South America, and Europe. The novelty of this study is that it delved into the Mpox time series data by implementing the data-driven methods and a mathematical model concurrently-an aspect not typically addressed in the existing literature. The study is also important because implementing these models concurrently improved our predictions' reliability for infectious diseases. Methods We proposed a traditional compartmental model and also implemented deep learning models (1D- convolutional neural network (CNN), long-short term memory (LSTM), bidirectional LSTM (BiLSTM), hybrid CNN-LSTM, and CNN-BiLSTM) as well as statistical time series models: autoregressive integrated moving average (ARIMA) and exponential smoothing on the Mpox data. We also employed the least squares method fitting to estimate the essential epidemiological parameters in the proposed deterministic model. Results The primary finding of the deterministic model is that vaccination rates can flatten the curve of infected dynamics and influence the basic reproduction number. Through the numerical simulations, we determined that increased vaccination among the susceptible human population is crucial to control disease transmission. Moreover, in case of an outbreak, our model showed the potential for epidemic control by adjusting the key epidemiological parameters, namely the baseline contact rate and the proportion of contacts within the human population. Next, we analyzed data-driven models that contribute to a comprehensive understanding of disease dynamics in different locations. Additionally, we trained models to provide short-term (eight-week) predictions across various geographical locations, and all eight models produced reliable results. Conclusion This study utilized a comprehensive framework to investigate univariate time series data to understand the dynamics of Mpox transmission. The prediction showed that Mpox is in its die-out situation as of July 29, 2023. Moreover, the deterministic model showed the importance of the Mpox vaccination in mitigating the Mpox transmission and highlighted the significance of effectively adjusting key epidemiological parameters during outbreaks, particularly the contact rate in high-risk groups.
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Affiliation(s)
- Haridas K. Das
- Department of Mathematics, Oklahoma State University, Stillwater, OK, United States
- Department of Mathematics, Dhaka University, Dhaka, Bangladesh
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Jia Q, Xue L, Sui R, Huo J. Modelling the impact of human behavior using a two-layer Watts-Strogatz network for transmission and control of Mpox. BMC Infect Dis 2024; 24:351. [PMID: 38532346 DOI: 10.1186/s12879-024-09239-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/20/2024] [Indexed: 03/28/2024] Open
Abstract
PURPOSE This study aims to evaluate the effectiveness of mitigation strategies and analyze the impact of human behavior on the transmission of Mpox. The results can provide guidance to public health authorities on comprehensive prevention and control for the new Mpox virus strain in the Democratic Republic of Congo as of December 2023. METHODS We develop a two-layer Watts-Strogatz network model. The basic reproduction number is calculated using the next-generation matrix approach. Markov chain Monte Carlo (MCMC) optimization algorithm is used to fit Mpox cases in Canada into the network model. Numerical simulations are used to assess the impact of mitigation strategies and human behavior on the final epidemic size. RESULTS Our results show that the contact transmission rate of low-risk groups and susceptible humans increases when the contact transmission rate of high-risk groups and susceptible humans is controlled as the Mpox epidemic spreads. The contact transmission rate of high-risk groups after May 18, 2022, is approximately 20% lower than that before May 18, 2022. Our findings indicate a positive correlation between the basic reproduction number and the level of heterogeneity in human contacts, with the basic reproduction number estimated at 2.3475 (95% CI: 0.0749-6.9084). Reducing the average number of sexual contacts to two per week effectively reduces the reproduction number to below one. CONCLUSION We need to pay attention to the re-emergence of the epidemics caused by low-risk groups when an outbreak dominated by high-risk groups is under control. Numerical simulations show that reducing the average number of sexual contacts to two per week is effective in slowing down the rapid spread of the epidemic. Our findings offer guidance for the public health authorities of the Democratic Republic of Congo in developing effective mitigation strategies.
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Affiliation(s)
- Qiaojuan Jia
- College of Mathematical Sciences, Harbin Engineering University, 145 Nantong Street, Harbin, Heilongjiang, 150001, China
| | - Ling Xue
- College of Mathematical Sciences, Harbin Engineering University, 145 Nantong Street, Harbin, Heilongjiang, 150001, China.
| | - Ran Sui
- College of Mathematical Sciences, Harbin Engineering University, 145 Nantong Street, Harbin, Heilongjiang, 150001, China
| | - Junqi Huo
- College of Mathematical Sciences, Harbin Engineering University, 145 Nantong Street, Harbin, Heilongjiang, 150001, China
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Khan G, Perveen N. Monkeypox: Past, Present, and Future. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1451:1-20. [PMID: 38801568 DOI: 10.1007/978-3-031-57165-7_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Monkeypox (Mpox) is a zoonotic disease caused by a virus (monkeypox virus-MPV) belonging to the Poxviridae family. In humans, the disease has an incubation period of 5-21 days and then progresses in two phases, the prodromal phase and the rash phase. The prodromal phase is characterized by non-specific symptoms such as fever, muscle pain, malaise, lymphadenopathy, headache, and chills. Skin lesions appear in the rash phase of the disease. These lesions progress through different stages (macules, papules, vesicles, and pustules). In May 2022, WHO reported an outbreak of human Mpox in several countries which were previously Mpox-free. As per the CDC report of March 01, 2023, a total of 86,231 confirmed cases of Mpox and 105 deaths have been reported from 110 countries and territories across the globe. Notably, more than 90% of these countries were reporting Mpox for the first time. The phylogenetic analysis revealed that this outbreak was associated with the virus from the West African clade. However, most of the cases in this outbreak had no evidence of travel histories to MPV-endemic countries in Central or West Africa. This outbreak was primarily driven by the transmission of the virus via intimate contact in men who have sex with men (MSM). The changing epidemiology of Mpox raised concerns about the increasing spread of the disease in non-endemic countries and the urgent need to control and prevent it. In this chapter, we present all the documented cases of Mpox from 1970 to 2023 and discuss the past, present, and future of MPV.
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Affiliation(s)
- Gulfaraz Khan
- Department of Microbiology and Immunology, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 15551, Al-Ain, United Arab Emirates.
| | - Nighat Perveen
- Department of Biology, College of Science, United Arab Emirates University, P.O. Box 15551, Al-Ain, United Arab Emirates
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Agroia H, Smith E, Vaidya A, Rudman S, Roy M. Monkeypox (Mpox) Vaccine Hesitancy Among Mpox Cases: A Qualitative Study. Health Promot Pract 2023:15248399231215054. [PMID: 38102810 DOI: 10.1177/15248399231215054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2023]
Abstract
Human mpox has been an increasing concern in the United States and California since late 2022. While the Jynneos vaccine offers a degree of cross-protection against the disease, vaccine hesitancy is common among those recommended for vaccination. The purpose of this study was to assess vaccine knowledge, facilitators, and barriers to vaccine uptake among individuals previously diagnosed with mpox, or mpox cases, in Santa Clara County, California. In-depth interviews were conducted by public health department staff among mpox cases diagnosed in Santa Clara County between July and September 2022. Responses were analyzed using a grounded theory data analysis approach. Among the 47 participants, 36 (77%) had heard of mpox before diagnosis, and of these, 20 (56%) did not think they were at risk of developing mpox, and 28 (78%) were aware that a vaccine was available. Those who did not receive the vaccine stated vaccine access and availability were the main barriers. Among the six participants not interested in the vaccine, the main hesitancies were lack of perceived risk, stigma of being branded by scarring and labeled gay, and vaccine safety. Overall, the following themes were attributed to reasons for vaccine hesitancy: (a) lack of awareness of the disease and vaccine, including perceived risks; (b) lack of vaccine availability and accessibility; and (c) stigma associated with receiving the vaccine, including being publicly labeled as "gay" and the scarring on forearm potentially seen as branding. We recommend tailoring outreach and educational campaigns to address reasons for mpox vaccine hesitancy.
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Affiliation(s)
- Harit Agroia
- County of Santa Clara Public Health Department, San Jose, CA, USA
- San Jose State University, San Jose, CA, USA
| | - Emily Smith
- County of Santa Clara Public Health Department, San Jose, CA, USA
| | - Akanksha Vaidya
- County of Santa Clara Public Health Department, San Jose, CA, USA
| | - Sarah Rudman
- County of Santa Clara Public Health Department, San Jose, CA, USA
| | - Monika Roy
- County of Santa Clara Public Health Department, San Jose, CA, USA
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Hickey J, Rancourt DG. Predictions from standard epidemiological models of consequences of segregating and isolating vulnerable people into care facilities. PLoS One 2023; 18:e0293556. [PMID: 37903148 PMCID: PMC10615287 DOI: 10.1371/journal.pone.0293556] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Accepted: 10/15/2023] [Indexed: 11/01/2023] Open
Abstract
OBJECTIVES Since the declaration of the COVID-19 pandemic, many governments have imposed policies to reduce contacts between people who are presumed to be particularly vulnerable to dying from respiratory illnesses and the rest of the population. These policies typically address vulnerable individuals concentrated in centralized care facilities and entail limiting social contacts with visitors, staff members, and other care home residents. We use a standard epidemiological model to investigate the impact of such circumstances on the predicted infectious disease attack rates, for interacting robust and vulnerable populations. METHODS We implement a general susceptible-infectious-recovered (SIR) compartmental model with two populations: robust and vulnerable. The key model parameters are the per-individual frequencies of within-group (robust-robust and vulnerable-vulnerable) and between-group (robust-vulnerable and vulnerable-robust) infectious-susceptible contacts and the recovery times of individuals in the two groups, which can be significantly longer for vulnerable people. RESULTS Across a large range of possible model parameters including degrees of segregation versus intermingling of vulnerable and robust individuals, we find that concentrating the most vulnerable into centralized care facilities virtually always increases the infectious disease attack rate in the vulnerable group, without significant benefit to the robust group. CONCLUSIONS Isolated care homes of vulnerable residents are predicted to be the worst possible mixing circumstances for reducing harm in epidemic or pandemic conditions.
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Affiliation(s)
- Joseph Hickey
- Correlation Research in the Public Interest, Ottawa, Ontario, Canada
| | - Denis G. Rancourt
- Correlation Research in the Public Interest, Ottawa, Ontario, Canada
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Banuet-Martinez M, Yang Y, Jafari B, Kaur A, Butt ZA, Chen HH, Yanushkevich S, Moyles IR, Heffernan JM, Korosec CS. Monkeypox: a review of epidemiological modelling studies and how modelling has led to mechanistic insight. Epidemiol Infect 2023; 151:e121. [PMID: 37218612 PMCID: PMC10468816 DOI: 10.1017/s0950268823000791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/04/2023] [Accepted: 05/11/2023] [Indexed: 05/24/2023] Open
Abstract
Human monkeypox (mpox) virus is a viral zoonosis that belongs to the Orthopoxvirus genus of the Poxviridae family, which presents with similar symptoms as those seen in human smallpox patients. Mpox is an increasing concern globally, with over 80,000 cases in non-endemic countries as of December 2022. In this review, we provide a brief history and ecology of mpox, its basic virology, and the key differences in mpox viral fitness traits before and after 2022. We summarize and critique current knowledge from epidemiological mathematical models, within-host models, and between-host transmission models using the One Health approach, where we distinguish between models that focus on immunity from vaccination, geography, climatic variables, as well as animal models. We report various epidemiological parameters, such as the reproduction number, R0, in a condensed format to facilitate comparison between studies. We focus on how mathematical modelling studies have led to novel mechanistic insight into mpox transmission and pathogenesis. As mpox is predicted to lead to further infection peaks in many historically non-endemic countries, mathematical modelling studies of mpox can provide rapid actionable insights into viral dynamics to guide public health measures and mitigation strategies.
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Affiliation(s)
- Marina Banuet-Martinez
- Climate Change and Global Health Research Group, School of Public Health, University of Alberta, Edmonton, AB, Canada
| | - Yang Yang
- School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Behnaz Jafari
- Mathematics and Statistics Department, Faculty of Science, University of Calgary, Calgary, AB, Canada
- Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
| | - Avneet Kaur
- Irving K. Barber School of Arts and Sciences, Department of Computer Science, Mathematics, Physics and Statistics, University of British Columbia Okanagan, Kelowna, BC, Canada
| | - Zahid A. Butt
- School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Helen H. Chen
- School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Svetlana Yanushkevich
- Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
| | - Iain R. Moyles
- Modelling Infection and Immunity Lab, Mathematics and Statistics, York University, Toronto, ON, Canada
- Centre for Disease Modelling, Mathematics and Statistics, York University, Toronto, ON, Canada
| | - Jane M. Heffernan
- Modelling Infection and Immunity Lab, Mathematics and Statistics, York University, Toronto, ON, Canada
- Centre for Disease Modelling, Mathematics and Statistics, York University, Toronto, ON, Canada
| | - Chapin S. Korosec
- Modelling Infection and Immunity Lab, Mathematics and Statistics, York University, Toronto, ON, Canada
- Centre for Disease Modelling, Mathematics and Statistics, York University, Toronto, ON, Canada
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Huang Y, Mu L, Wang W. Monkeypox: epidemiology, pathogenesis, treatment and prevention. Signal Transduct Target Ther 2022; 7:373. [PMID: 36319633 PMCID: PMC9626568 DOI: 10.1038/s41392-022-01215-4] [Citation(s) in RCA: 82] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 09/18/2022] [Accepted: 09/27/2022] [Indexed: 11/15/2022] Open
Abstract
Monkeypox is a zoonotic disease that was once endemic in west and central Africa caused by monkeypox virus. However, cases recently have been confirmed in many nonendemic countries outside of Africa. WHO declared the ongoing monkeypox outbreak to be a public health emergency of international concern on July 23, 2022, in the context of the COVID-19 pandemic. The rapidly increasing number of confirmed cases could pose a threat to the international community. Here, we review the epidemiology of monkeypox, monkeypox virus reservoirs, novel transmission patterns, mutations and mechanisms of viral infection, clinical characteristics, laboratory diagnosis and treatment measures. In addition, strategies for the prevention, such as vaccination of smallpox vaccine, is also included. Current epidemiological data indicate that high frequency of human-to-human transmission could lead to further outbreaks, especially among men who have sex with men. The development of antiviral drugs and vaccines against monkeypox virus is urgently needed, despite some therapeutic effects of currently used drugs in the clinic. We provide useful information to improve the understanding of monkeypox virus and give guidance for the government and relative agency to prevent and control the further spread of monkeypox virus.
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Affiliation(s)
- Yong Huang
- Department of Biotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Li Mu
- Department of Biotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Wei Wang
- Department of Biotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
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