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Article ; Online: Editorial: Infectious Disease Epidemiology and Transmission Dynamics.

Du, Zhanwei / Luo, Wei / Sippy, Rachel / Wang, Lin

2023 Volume 15, Issue 1

Abstract: Infectious diseases, such as COVID-19 [ ... ]. ...

Abstract	Infectious diseases, such as COVID-19 [...].
MeSH term(s)	Humans ; COVID-19/epidemiology ; Communicable Diseases/epidemiology
Language	English
Publishing date	2023-01-15
Publishing country	Switzerland
Document type	Editorial ; Research Support, Non-U.S. Gov't
ZDB-ID	2516098-9
ISSN	1999-4915 ; 1999-4915
ISSN (online)	1999-4915
ISSN	1999-4915
DOI	10.3390/v15010246
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Understanding the impact of rapid antigen tests on SARS-CoV-2 transmission in the fifth wave of COVID-19 in Hong Kong in early 2022.

Du, Zhanwei / Tian, Linwei / Jin, Dong-Yan

Emerging microbes & infections

2023 Volume 11, Issue 1, Page(s) 1394–1401

Abstract: The fast-spreading Omicron variant of SARS-CoV-2 overwhelmed Hong Kong, causing the fifth wave of COVID-19. It remains to be determined what mitigation measures might have played a role in reversing the rising trend of confirmed cases in this major ... ...

Abstract	The fast-spreading Omicron variant of SARS-CoV-2 overwhelmed Hong Kong, causing the fifth wave of COVID-19. It remains to be determined what mitigation measures might have played a role in reversing the rising trend of confirmed cases in this major outbreak. The government of Hong Kong has launched the mass rapid antigen tests (RAT) in the population and the StayHomeSafe scheme since February 2022. In this study, we examined the impact of the mass RAT on disease transmission and the case fatality ratio. It was suggested that the implementation of RAT plausibly played a role in the steady decrease of the effective reproduction number, leading to diminished SARS-CoV-2 transmission. In addition, we projected the disease burden of the outbreak in a scenario analysis to highlight the necessity of the StayHomeSafe scheme in Hong Kong. The Omicron outbreak experience in Hong Kong may provide actionable insights for navigating the challenges of COVID-19 surges in other regions and countries.
MeSH term(s)	COVID-19/diagnosis ; COVID-19/epidemiology ; Disease Outbreaks ; Hong Kong/epidemiology ; Humans ; SARS-CoV-2/genetics
Language	English
Publishing date	2023-03-07
Publishing country	United States
Document type	Journal Article
ZDB-ID	2681359-2
ISSN	2222-1751 ; 2222-1751
ISSN (online)	2222-1751
ISSN	2222-1751
DOI	10.1080/22221751.2022.2076616
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Article ; Online: Reproduction numbers of SARS-CoV-2 Omicron subvariants.

Wang, Shuqi / Zhang, Fengdi / Wang, Zhen / Du, Zhanwei / Gao, Chao

Journal of travel medicine

2022 Volume 29, Issue 8

MeSH term(s)	Humans ; COVID-19 ; SARS-CoV-2
Language	English
Publishing date	2022-09-27
Publishing country	England
Document type	Research Support, Non-U.S. Gov't ; Letter
ZDB-ID	1212504-0
ISSN	1708-8305 ; 1195-1982
ISSN (online)	1708-8305
ISSN	1195-1982
DOI	10.1093/jtm/taac108
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Article ; Online: Real-world effectiveness of monkeypox vaccines: a systematic review.

Xu, Mingda / Liu, Caifen / Du, Zhanwei / Bai, Yuan / Wang, Zhen / Gao, Chao

Journal of travel medicine

2023 Volume 30, Issue 5

MeSH term(s)	Humans ; Mpox (monkeypox)/prevention & control ; Smallpox Vaccine
Chemical Substances	Smallpox Vaccine
Language	English
Publishing date	2023-04-11
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Systematic Review
ZDB-ID	1212504-0
ISSN	1708-8305 ; 1195-1982
ISSN (online)	1708-8305
ISSN	1195-1982
DOI	10.1093/jtm/taad048
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Article ; Online: Estimate of COVID-19 Deaths, China, December 2022-February 2023.

Du, Zhanwei / Wang, Yuchen / Bai, Yuan / Wang, Lin / Cowling, Benjamin John / Meyers, Lauren Ancel

Emerging infectious diseases

2023 Volume 29, Issue 10, Page(s) 2121–2124

Abstract: China announced a slight easing of its zero-COVID rules on November 11, 2022, and then a major relaxation on December 7, 2022. We estimate that the ensuing wave of SARS-CoV-2 infections caused 1.41 million deaths in China during December 2022-February ... ...

Abstract	China announced a slight easing of its zero-COVID rules on November 11, 2022, and then a major relaxation on December 7, 2022. We estimate that the ensuing wave of SARS-CoV-2 infections caused 1.41 million deaths in China during December 2022-February 2023, substantially higher than that reported through official channels.
MeSH term(s)	Humans ; COVID-19/epidemiology ; SARS-CoV-2 ; China/epidemiology
Language	English
Publishing date	2023-08-28
Publishing country	United States
Document type	Journal Article ; Research Support, U.S. Gov't, P.H.S. ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	1380686-5
ISSN	1080-6059 ; 1080-6040
ISSN (online)	1080-6059
ISSN	1080-6040
DOI	10.3201/eid2910.230585
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Article ; Online: Rethinking Academic Conferences in the Age of Pandemic

Qing Cai / Zhanwei Du / Ye Wu / Xiaoke Xu

Applied Sciences, Vol 12, Iss 16, p

2022 Volume 8351

Abstract: The year 2020 witnessed the havoc wreaked by the coronavirus disease COVID-19 due to its onset in late 2019. The COVID-19 pandemic is the cruelest public health crisis humankind has ever seen. The COVID-19 pandemic profoundly affected every walk of life, ...

Abstract	The year 2020 witnessed the havoc wreaked by the coronavirus disease COVID-19 due to its onset in late 2019. The COVID-19 pandemic is the cruelest public health crisis humankind has ever seen. The COVID-19 pandemic profoundly affected every walk of life, and academic research has been no exception. Academic conferences are an indispensable component of research. Note that the pandemic together with its variants ravaged the globe in 2020, while their recurrences yet have a deep shadow across 2021 and 2022 with uncertainties for the near future. Under the sway of the pandemic, many conferences are conducted in virtual mode to mitigate the propagation of the virus. It is no surprise that academic conferences charge the attendees for registration fees with the amount varying by countries and disciplines. Here, we collect the registration fee information for conferences held in 2019, 2020 and 2021. Note that virtual conferences barely cater to attendees except by providing online platforms. However, we discover that most of the virtual conferences held in 2020 and 2021 still charged high registration fees compared to those in 2019, while the remaining conferences only applied small discounts. In light of the current situation of the pandemic as well as uncertainties in the future, virtual conferences could be a common form of academic activity. Considering the sluggish global economy at well as other potential issues, here, we advocate that going virtual should always be an option for academic conferences in the future. We also suggest that virtual conferences should charge less and the expenditure of the fees should be open to the public.
Keywords	COVID-19 ; academic conference ; virtual conference ; registration fee ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	027
Language	English
Publishing date	2022-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Coupling the circadian rhythms of population movement and the immune system in infectious disease modeling.

Zhanwei Du / Petter Holme

PLoS ONE, Vol 15, Iss 6, p e

2020 Volume 0234619

Abstract: The dynamics of infectious diseases propagating in populations depends both on human interaction patterns, the contagion process and the pathogenesis within hosts. The immune system follows a circadian rhythm and, consequently, the chance of getting ... ...

Abstract	The dynamics of infectious diseases propagating in populations depends both on human interaction patterns, the contagion process and the pathogenesis within hosts. The immune system follows a circadian rhythm and, consequently, the chance of getting infected varies with the time of day an individual is exposed to the pathogen. The movement and interaction of people also follow 24-hour cycles, which couples these two phenomena. We use a stochastic metapopulation model informed by hourly mobility data for two medium-sized Chinese cities. By this setup, we investigate how the epidemic risk depends on the difference of the clocks governing the population movement and the immune systems. In most of the scenarios we test, we observe circadian rhythms would constrain the pace and extent of disease emergence. The three measures (strength, outward transmission and introduction speeds) are highly correlated with each other. For example of the Yushu City, outward transmission speed and introduction speed are correlated with a Pearson's correlation coefficient of 0.83, and the speeds correlate to strength with coefficients of -0.85 and -0.75, respectively (all have p < 0.05), in simulations with no circadian effect and R0 = 1.5. The relation between the circadian rhythms of the immune system and daily routines in human mobility can affect the pace and extent of infectious disease spreading. Shifting commuting times could mitigate the emergence of outbreaks.
Keywords	Medicine ; R ; Science ; Q
Subject code	910
Language	English
Publishing date	2020-01-01T00:00:00Z
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: Medical-Knowledge-Based Graph Neural Network for Medication Combination Prediction.

Gao, Chao / Yin, Shu / Wang, Haiqiang / Wang, Zhen / Du, Zhanwei / Li, Xuelong

IEEE transactions on neural networks and learning systems

2023 Volume PP

Abstract: Medication combination prediction (MCP) can provide assistance for experts in the more thorough comprehension of complex mechanisms behind health and disease. Many recent studies focus on the patient representation from the historical medical records, ... ...

Abstract	Medication combination prediction (MCP) can provide assistance for experts in the more thorough comprehension of complex mechanisms behind health and disease. Many recent studies focus on the patient representation from the historical medical records, but neglect the value of the medical knowledge, such as the prior knowledge and the medication knowledge. This article develops a medical-knowledge-based graph neural network (MK-GNN) model which incorporates the representation of patients and the medical knowledge into the neural network. More specifically, the features of patients are extracted from their medical records in different feature subspaces. Then these features are concatenated to obtain the feature representation of patients. The prior knowledge, which is calculated according to the mapping relationship between medications and diagnoses, provides heuristic medication features according to the diagnosis results. Such medication features can help the MK-GNN model learn optimal parameters. Moreover, the medication relationship in prescriptions is formulated as a drug network to integrate the medication knowledge into medication representation vectors. The results reveal the superior performance of the MK-GNN model compared with the state-of-the-art baselines on different evaluation metrics. The case study manifests the application potential of the MK-GNN model.
Language	English
Publishing date	2023-05-04
Publishing country	United States
Document type	Journal Article
ISSN	2162-2388
ISSN (online)	2162-2388
DOI	10.1109/TNNLS.2023.3266490
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Article ; Online: Coupling the circadian rhythms of population movement and the immune system in infectious disease modeling.

Du, Zhanwei / Holme, Petter

PloS one

2020 Volume 15, Issue 6, Page(s) e0234619

Abstract	The dynamics of infectious diseases propagating in populations depends both on human interaction patterns, the contagion process and the pathogenesis within hosts. The immune system follows a circadian rhythm and, consequently, the chance of getting infected varies with the time of day an individual is exposed to the pathogen. The movement and interaction of people also follow 24-hour cycles, which couples these two phenomena. We use a stochastic metapopulation model informed by hourly mobility data for two medium-sized Chinese cities. By this setup, we investigate how the epidemic risk depends on the difference of the clocks governing the population movement and the immune systems. In most of the scenarios we test, we observe circadian rhythms would constrain the pace and extent of disease emergence. The three measures (strength, outward transmission and introduction speeds) are highly correlated with each other. For example of the Yushu City, outward transmission speed and introduction speed are correlated with a Pearson's correlation coefficient of 0.83, and the speeds correlate to strength with coefficients of -0.85 and -0.75, respectively (all have p < 0.05), in simulations with no circadian effect and R0 = 1.5. The relation between the circadian rhythms of the immune system and daily routines in human mobility can affect the pace and extent of infectious disease spreading. Shifting commuting times could mitigate the emergence of outbreaks.
MeSH term(s)	China/epidemiology ; Circadian Rhythm ; Cities ; Communicable Diseases/epidemiology ; Communicable Diseases/transmission ; Disease Outbreaks/prevention & control ; Humans ; Immune System/physiology ; Models, Biological ; Movement/physiology
Language	English
Publishing date	2020-06-16
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0234619
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Hundreds of severe pediatric COVID-19 infections in Wuhan prior to the lockdown.

Du, Zhanwei / Nugent, Ciara / Cowling, Benjamin John / Meyers, Lauren Ancel

medRxiv : the preprint server for health sciences

2020

Keywords	covid19
Language	English
Publishing date	2020-03-27
Publishing country	United States
Document type	Preprint
DOI	10.1101/2020.03.16.20037176
Database	MEDical Literature Analysis and Retrieval System OnLINE

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