Introduction of Two-Dose Mumps-Containing Vaccine into Routine Immunization Schedule in Quzhou, China, Using Cox-Proportional Hazard Model

Yin, Zhiying; Zheng, Canjie; Fang, Quanjun; Gong, Xiaoying; Cao, Guoping; Li, Junji; Xiang, Ziling; Song, Wenjing

doi:10.1155/2021/5990417

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…A booster dose of MMR vaccine should be administered to high-risk groups such as students, and Anders Hviid et al showed that the ideal schedule for mumps vaccination should be determined to optimize vaccine control and suggested that the optimal age for the second dose remains to be determined ( 17 ). Regarding to the current immunization strategy in China, many studies advocate adjusting the timing and doses of MMR vaccination to reduce the future incidence of mumps in China, but there is insufficient theoretical support ( 15 , 18 ). The immunization schedules in China were adjusted after 2020 to one dose of MMR vaccine at 8 months of age and one dose at 18–24 months of age.…”

Section: Introductionmentioning

confidence: 99%

Age-specific transmission dynamic of mumps: A long-term large-scale modeling study in Jilin Province, China

Yang

Wang

Zhao³

et al. 2022

Front. Public Health

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ObjectivesDespite the adoption of a new childhood immunization program in China, the incidence of mumps remains high. This study aimed to describe the epidemiological characteristics of mumps in Jilin Province from 2005 to 2019 and to assess the transmissibility of mumps virus among the whole population and different subgroups by regions and age groups.MethodsThe Non-age-specific and age-specific Susceptible–Exposed–Pre-symptomatic–Infectious–Asymptomatic–Recovered (SEPIAR) models were fitted to actual mumps incidence data. The time-varying reproduction number (Rt) was used to evaluate and compare the transmissibility.ResultsFrom 2005 to 2019, a total of 57,424 cases of mumps were reported in Jilin Province. The incidence of mumps was the highest in people aged 5 to 9 years (77.37 per 100,000). The two SEPIAR models fitted the reported data well (P < 0.01). The median transmissibility (Rt) calculated by the two SEPIAR models were 1.096 (range: 1.911 × 10−5–2.192) and 1.074 (range: 0.033–2.114) respectively. The age-specific SEPIAR model was more representative of the actual epidemic of mumps in Jilin Province from 2005–2019.ConclusionsFor mumps control, it is recommended that mumps-containing vaccines (MuCV) coverage be increased nationwide in the 5–9 years age group, either by a mumps vaccine alone or by a combination of vaccines such as measles-mumps-rubella (MMR) vaccine. The coverage of vaccines in Jilin Province should be continuously expanded to establish solid immunity in the population. China needs to redefine the optimal time interval for MuCV immunization.

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Section: Introductionmentioning

confidence: 99%

Age-specific transmission dynamic of mumps: A long-term large-scale modeling study in Jilin Province, China

Yang

Wang

Zhao³

et al. 2022

Front. Public Health

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“…This is often the reason why the Cox proportional hazards model is used in most data studies. [10][11][12][13] In the proportional hazards regression model, unlike the Kaplan-Meier analysis, an assumption about the original form of the survival function is needed. In the Cox proportional hazards regression model, this function is assumed to be an exponential function, such as s(t)=exp(-kt).…”

Section: Cox Proportional Hazards Regression Modelmentioning

confidence: 99%

Kaplan-Meier and Cox proportional hazards regression in survival analysis: statistical standard and guideline of Life Cycle Committee

Lee¹

2023

Life Cycle

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In medical research, analyzing the time it takes for a phenomenon to occur is sometimes crucial. However, various factors can contribute to the length of survival or observation periods, and removing specific data can lead to bias results. In this paper, we discuss the Kaplan-Meier analysis and Cox proportional hazards regression model, which are the most frequently used methods in survival analysis. For the first step, we shall discuss the temporal concepts needed in survival analysis, such as cohort studies and then the basic statistical functions dealt with in survival analysis. After solidifying the concepts, methods of understanding and practical application of the Kaplan-Meier survival analysis is noted. After that, we will discuss the analysis methods for the Cox proportional hazards regression model, which includes multiple covariates. With the interpretation method of Cox proportional hazards regression result, we then discuss methods for checking the assumptions of the Cox proportional hazards regression, such as log minus log plots. Finally, we briefly explain the concept of timedependent regression analysis. It is our aim that through this paper, readers can obtain an understanding on survival analysis and learn how to perform it.

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“…Moreover, Cox can include categorical variables (e.g., gender) and also numerical variables (e.g., age), whereas Kaplan-Meier curves and logrank tests can only include categorical variables [28,29]. Cox has a wider application since it extends survival analysis to simultaneously evaluate the effect of numerous risk factors on survival time [30]. Thus, we performed Cox based on IBM SPSS Statistics 26.…”

Section: Model Constructionmentioning

confidence: 99%

Research on Mortality Risk of Chinese Older Adults from the Perspective of Social Health

2022

Sustainability

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In response to the increasing aging problem that China is facing, this study aimed to investigate the impact of social health on the mortality risk of the Chinese older adult population. In this paper, we used the data from “The Chinese Longitudinal Health Longevity Survey (CLHLS)-Longitudinal Data (2008–2018)” and applied the Cox proportional hazard model to investigate the effects of three dimensions of social health on the risk of death among older adults in China. The study found that: (1) The three dimensions of social health have a positive effect on the mortality risk of older adults. (2) Among those three dimensions, social activities had the most significant effect on older adults. The effect of social support and social network on the mortality risk of older adults are basically similar. Moreover, social activity, social support, and the social network had no significant effect on the young-old’s mortality risk. (3) In order to address the problem of data censoring, the Cox proportional hazard model can be used, whereas demographic characteristics, health status, and health behavior components are selective to society. This study enriches social health research in China and promotes the development of social health research from theory to practice. Moreover, it has obvious advantages in terms of economics and feasibility for achieving mortality risk reduction through improving the social health of older adults and building a healthy aging society.

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Introduction of Two-Dose Mumps-Containing Vaccine into Routine Immunization Schedule in Quzhou, China, Using Cox-Proportional Hazard Model

Cited by 5 publications

References 29 publications

Age-specific transmission dynamic of mumps: A long-term large-scale modeling study in Jilin Province, China

Age-specific transmission dynamic of mumps: A long-term large-scale modeling study in Jilin Province, China

Kaplan-Meier and Cox proportional hazards regression in survival analysis: statistical standard and guideline of Life Cycle Committee

Research on Mortality Risk of Chinese Older Adults from the Perspective of Social Health

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