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  1. Article ; Online: Age-period-cohort analysis and projection of cancer mortality in Hong Kong, 1998–2030

    Lin Yang / Daihai He / Yanji Zhao / Zian Zhuang

    BMJ Open, Vol 13, Iss

    2023  Volume 10

    Abstract: Objectives To explore the relationship between immigration groups and cancer mortality, this study aimed to explore age, period, birth cohort effects and effects across genders and immigration groups on mortality rates of lung, pancreatic, colon, liver, ... ...

    Abstract Objectives To explore the relationship between immigration groups and cancer mortality, this study aimed to explore age, period, birth cohort effects and effects across genders and immigration groups on mortality rates of lung, pancreatic, colon, liver, prostate and stomach cancers and their projections.Design, setting, and participants Death registry data in Hong Kong between 1998 and 2021, which were stratified by age, sex and immigration status. Immigration status was classified into three groups: locals born in Hong Kong, long-stay immigrants and short-stay immigrants.Methods Age-period-cohort (APC) analysis was used to examine age, period, and birth cohort effects for genders and immigration groups from 1998 to 2021. Bayesian APC models were applied to predict the mortality rates from 2022 to 2030.Results Short-stay immigrants revealed pronounced fluctuations of mortality rates by age and of relative risks by cohort and period effects for six types of cancers than those of long-stay immigrants and locals. Immigrants for each type of cancer and gender will be at a higher mortality risk than locals. After 2021, decreasing trends (p<0.05) or plateau (p>0.05) of forecasting mortality rates of cancers occur for all immigration groups, except for increasing trends for short-stay male immigrants with colon cancer (p<0.05, Avg+0.30 deaths/100 000 per annum from 15.47 to 18.50 deaths/100 000) and long-stay male immigrants with pancreatic cancer (p<0.05, Avg+0.72 deaths/100 000 per annum from 16.30 to 23.49 deaths/100 000).Conclusions Findings underscore the effect of gender and immigration status in Hong Kong on mortality risks of cancers that immigrants for each type of cancer and gender will be at a higher mortality risk than locals.
    Keywords Medicine ; R
    Subject code 331 ; 310
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher BMJ Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Unexpected positive correlation between human development index and risk of infections and deaths of COVID-19 in Italy

    Kai Liu / Mu He / Zian Zhuang / Daihai He / Huaichen Li

    One Health, Vol 10, Iss , Pp 100174- (2020)

    2020  

    Abstract: In this analysis, we observed that human development index (an integrated index of life expectation, education and living standard) correlates with infection rate (proportion of confirmed cases among the population) and the fatality rate of COVID-19 in ... ...

    Abstract In this analysis, we observed that human development index (an integrated index of life expectation, education and living standard) correlates with infection rate (proportion of confirmed cases among the population) and the fatality rate of COVID-19 in Italy based on data as of May 15, 2020. Further analysis showed that HDI is negatively correlated with cigarette consumption, whereas it is positively correlated with chronic disease and average annual gross salary. These factors may partially explain why unexpected positive correlation is observed between human development index and risk of infections and deaths of COVID-19 in Italy.
    Keywords Medicine (General) ; R5-920 ; covid19
    Language English
    Publishing date 2020-12-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran

    Zian Zhuang / Shi Zhao / Qianying Lin / Peihua Cao / Yijun Lou / Lin Yang / Daihai He

    International Journal of Infectious Diseases, Vol 95, Iss , Pp 429-

    A reply to Sharifi

    2020  Volume 430

    Keywords Infectious and parasitic diseases ; RC109-216 ; covid19
    Language English
    Publishing date 2020-06-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran

    Zian Zhuang / Shi Zhao / Qianying Lin / Peihua Cao / Yijun Lou / Lin Yang / Daihai He

    International Journal of Infectious Diseases, Vol 94, Iss , Pp 29-

    A modelling analysis based on overseas cases and air travel data

    2020  Volume 31

    Abstract: As of March 1, 2020, Iran had reported 987 novel coronavirus disease (COVID-19) cases, including 54 associated deaths. At least six neighboring countries (Bahrain, Iraq, Kuwait, Oman, Afghanistan, and Pakistan) had reported imported COVID-19 cases from ... ...

    Abstract As of March 1, 2020, Iran had reported 987 novel coronavirus disease (COVID-19) cases, including 54 associated deaths. At least six neighboring countries (Bahrain, Iraq, Kuwait, Oman, Afghanistan, and Pakistan) had reported imported COVID-19 cases from Iran. In this study, air travel data and the numbers of cases from Iran imported into other Middle Eastern countries were used to estimate the number of COVID-19 cases in Iran. It was estimated that the total number of cases in Iran was 16 533 (95% confidence interval: 5925–35 538) by February 25, 2020, before the UAE and other Gulf Cooperation Council countries suspended inbound and outbound flights from Iran.
    Keywords Coronavirus disease 2019 ; COVID-19 ; Air travel data ; Ascertainment rate ; Infectious and parasitic diseases ; RC109-216 ; covid19
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: The relative transmissibility of asymptomatic COVID-19 infections among close contacts

    Daihai He / Shi Zhao / Qianying Lin / Zian Zhuang / Peihua Cao / Maggie H. Wang / Lin Yang

    International Journal of Infectious Diseases, Vol 94, Iss , Pp 145-

    2020  Volume 147

    Abstract: Asymptomatic transmission of the coronavirus disease 2019 is an important topic. A recent study in China showed that transmissibility of the asymptomatic cases is comparable to that of symptomatic cases. Here, we discuss that the conclusion may depend on ...

    Abstract Asymptomatic transmission of the coronavirus disease 2019 is an important topic. A recent study in China showed that transmissibility of the asymptomatic cases is comparable to that of symptomatic cases. Here, we discuss that the conclusion may depend on how we interpret the data. To the best of our knowledge, this is the first time the relative transmissibility of asymptomatic COVID-19 infections is quantified.
    Keywords COVID-19 ; Asymptomatic infection ; Relative transmissibility ; Infectious and parasitic diseases ; RC109-216 ; covid19
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Estimation of Local Novel Coronavirus (COVID-19) Cases in Wuhan, China from Off-Site Reported Cases and Population Flow Data from Different Sources

    Zian Zhuang / Peihua Cao / Shi Zhao / Yijun Lou / Shu Yang / Weiming Wang / Lin Yang / Daihai He

    Frontiers in Physics, Vol

    2020  Volume 8

    Abstract: In December 2019, novel coronavirus disease (COVID-19) hit Wuhan, Hubei Province, China and spread to the rest of China and overseas. The emergence of this virus coincided with the Spring Festival Travel Rush in China. It is possible to estimate the ... ...

    Abstract In December 2019, novel coronavirus disease (COVID-19) hit Wuhan, Hubei Province, China and spread to the rest of China and overseas. The emergence of this virus coincided with the Spring Festival Travel Rush in China. It is possible to estimate the total number of COVID-19 cases in Wuhan, by 23 January 2020, given the cases reported in other cities/regions and population flow data between Wuhan and these cities/regions. We built a model to estimate the total number of COVID-19 cases in Wuhan by 23 January 2020, based on the number of cases detected outside Wuhan city in China, with the assumption that cases exported from Wuhan were less likely underreported in other cities/regions. We employed population flow data from different sources between Wuhan and other cities/regions by 23 January 2020. The number of total cases in Wuhan was determined by the maximum log likelihood estimation and Akaike Information Criterion (AIC) weight. We estimated 8 679 (95% CI: 7 701, 9 732) as total COVID-19 cases in Wuhan by 23 January 2020, based on combined source of data from Tencent and Baidu. Sources of population flow data impact the estimates of the total number of COVID-19 cases in Wuhan before city lockdown. We should make a comprehensive analysis based on different sources of data to overcome the bias from different sources.
    Keywords COVID-19 ; mobility ; pneumonia ; transportation ; outbreaks ; Physics ; QC1-999 ; covid19
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Book ; Online: Table_1_Estimation of Local Novel Coronavirus (COVID-19) Cases in Wuhan, China from Off-Site Reported Cases and Population Flow Data from Different Sources.docx

    Zian Zhuang / Peihua Cao / Shi Zhao / Yijun Lou / Shu Yang / Weiming Wang / Lin Yang / Daihai He

    2020  

    Abstract: In December 2019, novel coronavirus disease (COVID-19) hit Wuhan, Hubei Province, China and spread to the rest of China and overseas. The emergence of this virus coincided with the Spring Festival Travel Rush in China. It is possible to estimate the ... ...

    Abstract In December 2019, novel coronavirus disease (COVID-19) hit Wuhan, Hubei Province, China and spread to the rest of China and overseas. The emergence of this virus coincided with the Spring Festival Travel Rush in China. It is possible to estimate the total number of COVID-19 cases in Wuhan, by 23 January 2020, given the cases reported in other cities/regions and population flow data between Wuhan and these cities/regions. We built a model to estimate the total number of COVID-19 cases in Wuhan by 23 January 2020, based on the number of cases detected outside Wuhan city in China, with the assumption that cases exported from Wuhan were less likely underreported in other cities/regions. We employed population flow data from different sources between Wuhan and other cities/regions by 23 January 2020. The number of total cases in Wuhan was determined by the maximum log likelihood estimation and Akaike Information Criterion (AIC) weight. We estimated 8 679 (95% CI: 7 701, 9 732) as total COVID-19 cases in Wuhan by 23 January 2020, based on combined source of data from Tencent and Baidu. Sources of population flow data impact the estimates of the total number of COVID-19 cases in Wuhan before city lockdown. We should make a comprehensive analysis based on different sources of data to overcome the bias from different sources.
    Keywords Biophysics ; Astrophysics ; Applied Physics ; Computational Physics ; Condensed Matter Physics ; Particle Physics ; Plasma Physics ; Solar System ; Solar Physics ; Planets and Exoplanets ; Classical and Physical Optics ; Photonics ; Optoelectronics and Optical Communications ; Cloud Physics ; Tropospheric and Stratospheric Physics ; High Energy Astrophysics ; Cosmic Rays ; Mesospheric ; Ionospheric and Magnetospheric Physics ; Space and Solar Physics ; Mathematical Physics not elsewhere classified ; Physical Chemistry of Materials ; Physical Chemistry not elsewhere classified ; Classical Physics not elsewhere classified ; Condensed Matter Physics not elsewhere classified ; Quantum Physics not elsewhere classified ; COVID-19 ; mobility ; pneumonia ; transportation ; outbreaks ; covid19
    Subject code 115
    Publishing date 2020-09-01T14:26:02Z
    Publishing country uk
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Preliminary estimates of the reproduction number of the coronavirus disease (COVID-19) outbreak in Republic of Korea and Italy by 5 March 2020

    Zian Zhuang / Shi Zhao / Qianying Lin / Peihua Cao / Yijun Lou / Lin Yang / Shu Yang / Daihai He / Li Xiao

    International Journal of Infectious Diseases, Vol 95, Iss , Pp 308-

    2020  Volume 310

    Abstract: The novel coronavirus disease 2019 (COVID-19) outbreak has caused 6088 cases and 41 deaths in Republic of Korea, and 3144 cases and 107 death in Italy by 5 March 2020, respectively. We modelled the transmission process in the Republic of Korea and Italy ... ...

    Abstract The novel coronavirus disease 2019 (COVID-19) outbreak has caused 6088 cases and 41 deaths in Republic of Korea, and 3144 cases and 107 death in Italy by 5 March 2020, respectively. We modelled the transmission process in the Republic of Korea and Italy with a stochastic model, and estimated the basic reproduction number R0 as 2.6 (95% CI: 2.3–2.9) or 3.2 (95% CI: 2.9–3.5) in the Republic of Korea, under the assumption that the exponential growth starting on 31 January or 5 February 2020, and 2.6 (95% CI: 2.3–2.9) or 3.3 (95% CI: 3.0–3.6) in Italy, under the assumption that the exponential growth starting on 5 February or 10 February 2020, respectively.
    Keywords Coronavirus disease 2019 ; COVID-19 ; Basic reproduction number ; Republic of Korea ; Italy ; Infectious and parasitic diseases ; RC109-216 ; covid19
    Language English
    Publishing date 2020-06-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Estimating the Serial Interval of the Novel Coronavirus Disease (COVID-19)

    Shi Zhao / Daozhou Gao / Zian Zhuang / Marc K. C. Chong / Yongli Cai / Jinjun Ran / Peihua Cao / Kai Wang / Yijun Lou / Weiming Wang / Lin Yang / Daihai He / Maggie H. Wang

    Frontiers in Physics, Vol

    A Statistical Analysis Using the Public Data in Hong Kong From January 16 to February 15, 2020

    2020  Volume 8

    Abstract: Background: The emerging virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused a large outbreak of novel coronavirus disease (COVID-19) since the end of 2019. As of February 15, there were 56 COVID-19 cases confirmed in Hong ... ...

    Abstract Background: The emerging virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused a large outbreak of novel coronavirus disease (COVID-19) since the end of 2019. As of February 15, there were 56 COVID-19 cases confirmed in Hong Kong since the first case with symptom onset on January 23, 2020.Methods: Based on the publicly available surveillance data in Hong Kong, we identified 21 transmission events as of February 15, 2020. An interval censored likelihood framework is adopted to fit three different distributions including Gamma, Weibull, and lognormal, that govern the serial interval (SI) of COVID-19. We selected the distribution according to the Akaike information criterion corrected for small sample size (AICc).Findings: We found the lognormal distribution performed slightly better than the other two distributions in terms of the AICc. Assuming a lognormal distribution model, we estimated the mean of SI at 4.9 days (95% CI: 3.6–6.2) and SD of SI at 4.4 days (95% CI: 2.9–8.3) by using the information of all 21 transmission events.Conclusion: The SI of COVID-19 may be shorter than the preliminary estimates in previous works. Given the likelihood that SI could be shorter than the incubation period, pre-symptomatic transmission may occur, and extra efforts on timely contact tracing and quarantine are crucially needed in combating the COVID-19 outbreak.
    Keywords COVID-19 ; serial interval ; statistical analysis ; Hong Kong ; contact tracing ; Physics ; QC1-999 ; covid19
    Subject code 310
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Low dispersion in the infectiousness of COVID-19 cases implies difficulty in control

    Daihai He / Shi Zhao / Xiaoke Xu / Qiangying Lin / Zian Zhuang / Peihua Cao / Maggie H. Wang / Yijun Lou / Li Xiao / Ye Wu / Lin Yang

    BMC Public Health, Vol 20, Iss 1, Pp 1-

    2020  Volume 4

    Abstract: Abstract The individual infectiousness of coronavirus disease 2019 (COVID-19), quantified by the number of secondary cases of a typical index case, is conventionally modelled by a negative-binomial (NB) distribution. Based on patient data of 9120 ... ...

    Abstract Abstract The individual infectiousness of coronavirus disease 2019 (COVID-19), quantified by the number of secondary cases of a typical index case, is conventionally modelled by a negative-binomial (NB) distribution. Based on patient data of 9120 confirmed cases in China, we calculated the variation of the individual infectiousness, i.e., the dispersion parameter k of the NB distribution, at 0.70 (95% confidence interval: 0.59, 0.98). This suggests that the dispersion in the individual infectiousness is probably low, thus COVID-19 infection is relatively easy to sustain in the population and more challenging to control. Instead of focusing on the much fewer super spreading events, we also need to focus on almost every case to effectively reduce transmission.
    Keywords COVID-19 ; Basic reproductive number ; Dispersion ; Negative binomial ; Mitigation ; Public aspects of medicine ; RA1-1270 ; covid19
    Language English
    Publishing date 2020-10-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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