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Luan G, Yao H, Yin D, Liu J. Trends and Age-Period-Cohort Effect on Incidence of Varicella Under Age 35 - China, 2005-2021. China CDC Wkly 2024; 6:390-395. [PMID: 38737482 PMCID: PMC11082652 DOI: 10.46234/ccdcw2024.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 01/06/2024] [Indexed: 05/14/2024] Open
Abstract
What is already known about this topic? Varicella is an acute respiratory infectious disease primarily affecting children. However, recent studies have indicated an increasing susceptibility to varicella among older age groups. What is added by this report? The findings demonstrate a significant rise in the incidence rate among individuals aged 15-19. Males under 20 years old were found to have a higher risk compared to females, whereas males had a lower risk compared to females aged 20-35 years. What are the implications for public health practice? This study is the first comparative analysis using varicella data reported between 2005 and 2021 to examine the contributions of age, period, and birth cohort to varicella incidence in China. This study aims to provide a comprehensive analysis of the epidemiological characteristics of varicella in China and identify high-risk groups. The results of this study will contribute valuable information for the development of varicella prevention policies.
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Affiliation(s)
- Guijie Luan
- Department of Education and Training, Chinese center for Disease Control and Prevention, Beijing, China
| | - Hongyan Yao
- Department of Education and Training, Chinese center for Disease Control and Prevention, Beijing, China
| | - Dapeng Yin
- Hainan Provincial Center for Disease Control and Prevention, Haikou City, HainanProvince, China
| | - Jianjun Liu
- Chinese center for Disease Control and Prevention, Beijing, China
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Luan G, Hu Y, Chen M, You M, Xu C, Yin D, Liu J, Yao H. Associations Between Air Temperature and Daily Varicella Cases - Jinan City, Shandong Province, China, 2019-2021. China CDC Wkly 2024; 6:36-39. [PMID: 38250698 PMCID: PMC10797300 DOI: 10.46234/ccdcw2024.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 01/05/2024] [Indexed: 01/23/2024] Open
Abstract
What is already known about this topic? The impact of air temperature on varicella has been studied, but there is limited research exploring its effect on varicella by gender and age group. What is added by this report? We conducted a time series analysis to examine the differential effects of air temperature on varicella infection across different demographic groups. Our findings indicate that lower temperatures have a more pronounced influence on varicella incidence among males and children compared to females and adults. What are the implications for public health practice? These findings can assist in identifying populations that are vulnerable to temperature-related varicella and in guiding the implementation of effective measures for varicella control.
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Affiliation(s)
- Guijie Luan
- Chinese Center for Disease Control and Prevention, Beijing, China
- Institute for Immunization management, Shandong Center for Disease Control and Prevention, Jinan City, Shandong Province, China
| | - Yuehua Hu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meng Chen
- Institute for Immunization management, Shandong Center for Disease Control and Prevention, Jinan City, Shandong Province, China
| | - Meiying You
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chengdong Xu
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Dapeng Yin
- Hainan Provincial Center for Disease Control and Prevention, Haikou City, Hainan Province, China
| | - Jianjun Liu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hongyan Yao
- Chinese Center for Disease Control and Prevention, Beijing, China
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3
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Wang H, Huang S, Wang Z, Zhen H, Li Z, Fan W, Lu M, Han X, Du L, Zhao M, Yan Y, Zhang X, Zhen Q, Shui T. Association between meteorological factors and varicella incidence: a multicity study in Yunnan Province, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:117817-117828. [PMID: 37874521 DOI: 10.1007/s11356-023-30457-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 10/09/2023] [Indexed: 10/25/2023]
Abstract
This multicenter study aimed to investigate the relationship between varicella incidence and meteorological factors including mean temperature, relative humidity, sunshine duration, diurnal temperature difference, wind speed, and rainfall, as previous studies have produced varying results. Our study also sought to identify potential sources of heterogeneity. Data on reported daily varicella numbers and meteorological factors were collected for 14 cities in Yunnan Province from 2017 to 2021. A distribution-lagged nonlinear model was constructed to explore the relationship between meteorological conditions and varicella incidence in each included city. We then used multiple meta-regression to explore sources of heterogeneity using demographic economics indicators, air pollutants, and geographic location as potential modifiers. The cumulative hazard effect plot showed an inverted S-shape for the relationship between temperature and varicella, with the smallest RR (relative risk) (0.533, 95% CI: 0.401-0.708) at temperatures up to 27.2 °C. The maximum RR (1.171, 95% CI: 1.001-1.371) was obtained when the relative humidity was equal to 98.5%. The RR (1.164, 95% CI: 1.002-1.352) was greatest at a diurnal temperature range of 2 °C (1.164, 95% CI: 1.002-1.352) and least (0.913, 95% CI: 0.834-0.999) at a diurnal temperature range of 16.1 °C. The maximum RR (1.214, 95% CI: 1.089-1.354) was obtained at 0 h of sunshine, and the minimum RR (0.808, 95% CI: 0.675-0.968) was obtained at 12.4 h of sunshine. The RR (0.792, 95% CI: 0.633-0.992) was minimum at a wind velocity of 4.8 m/s. Residual heterogeneity ranged from 1 to 42.7%, with PM10 (particles with an aerodynamic diameter less than 10 μm), GDP (gross domestic product), and population density explaining some of this heterogeneity. The temperature has a dual effect on varicella incidence. Varicella cases are negatively correlated with diurnal temperature range, sunshine duration, and wind speed, and positively correlated with relative humidity. GDP and PM10 may have a significant role in altering the association between temperature and varicella, while PM10 and population density may alter the association between wind velocity and varicella.
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Affiliation(s)
- Hao Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Zoonosis, Ministry of Education, School of Public Health, Jilin University, Changchun, Jilin, China
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonoses Research of the Ministry of Education, Changchun, China
| | - Shanjun Huang
- Department of Epidemiology and Biostatistics, Key Laboratory of Zoonosis, Ministry of Education, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Zhaohan Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Zoonosis, Ministry of Education, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Hua Zhen
- Department of Epidemiology and Biostatistics, Key Laboratory of Zoonosis, Ministry of Education, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Zhuo Li
- Department of Epidemiology and Biostatistics, Key Laboratory of Zoonosis, Ministry of Education, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Wenqi Fan
- Department of Epidemiology and Biostatistics, Key Laboratory of Zoonosis, Ministry of Education, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Menghan Lu
- Department of Epidemiology and Biostatistics, Key Laboratory of Zoonosis, Ministry of Education, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Xin Han
- Department of Epidemiology and Biostatistics, Key Laboratory of Zoonosis, Ministry of Education, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Lanping Du
- Department of Epidemiology and Biostatistics, Key Laboratory of Zoonosis, Ministry of Education, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Meifang Zhao
- Department of Epidemiology and Biostatistics, Key Laboratory of Zoonosis, Ministry of Education, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yuke Yan
- Department of Epidemiology and Biostatistics, Key Laboratory of Zoonosis, Ministry of Education, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Xinyao Zhang
- Department of Epidemiology and Biostatistics, Key Laboratory of Zoonosis, Ministry of Education, School of Public Health, Jilin University, Changchun, Jilin, China
- Department of Social Medicine and Health Care Management, School of Public Health, Jilin University, Changchun, China
| | - Qing Zhen
- Department of Epidemiology and Biostatistics, Key Laboratory of Zoonosis, Ministry of Education, School of Public Health, Jilin University, Changchun, Jilin, China.
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonoses Research of the Ministry of Education, Changchun, China.
| | - Tiejun Shui
- Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China
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Xiu S, Wang X, Wang Q, Jin H, Shen Y. Impact of implementing a free varicella vaccination policy on incidence in Wuxi City, China: an interrupted time series analysis. Epidemiol Infect 2023; 151:e125. [PMID: 37469289 PMCID: PMC10540171 DOI: 10.1017/s0950268823001152] [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: 03/08/2023] [Revised: 06/08/2023] [Accepted: 07/05/2023] [Indexed: 07/21/2023] Open
Abstract
Varicella vaccination is optional and requires self-payment. On 1 December 2018, Wuxi City launched a free varicella vaccination program for children. This study aimed to evaluate the changes in varicella incidence before and after the implementation of the policy. The data were obtained from official information systems and statistical yearbooks. We divided the period into chargeable (January 2017 to November 2018) and free (December 2018 to December 2021) periods. Interrupt time series analysis was used to conduct a generalised least-squares regression analysis for the two periods. A total of 51,071 varicella cases were reported between January 2017 and December 2021. After the implementation of the policy, there was a statistically significant decrease in the incidence of varicella (β2 = -0.140, P = 0.017), and the slope of the incidence also decreased by 0.012 (P = 0.015). Following policy implementation, the incidence decreased in all age groups, with the largest decline observed among children aged 8-14 years (β2 = -1.109, P = 0.009), followed by children aged ≤7 years (β2 = -0.894, P = 0.013). Our study found a significant reduction in the incidence of varicella in the total population after the introduction of free varicella vaccination in Wuxi City.
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Affiliation(s)
- Shixin Xiu
- Department of Immunization, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Xuwen Wang
- Department of Immunization, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Qiang Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Hui Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Yuan Shen
- Department of Immunization, Wuxi Center for Disease Control and Prevention, Wuxi, China
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5
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Zheng Y, Emam M, Lu D, Tian M, Wang K, Peng X. Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:11530-11541. [PMID: 36094714 PMCID: PMC9466343 DOI: 10.1007/s11356-022-22849-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 08/29/2022] [Indexed: 06/15/2023]
Abstract
The aim of this study was to explore the effect of temperature on tuberculosis (TB) incidence using the distributed lag non-linear model (DLNM) from 2017 to 2021 in Kashgar city, the region with higher TB incidence than national levels, and assist public health prevention and control measures. From January 2017 to December 2021, a total of 8730 cases of TB were reported, with the higher incidence of male than that of female. When temperature was below 1 °C, it was significantly correlated with TB incidence compared to the median observed temperature (15 °C) at lag 7, 14, and 21, and lower temperatures showed larger RR (relative risk) values. High temperature produced a protective effect on TB transmission, and higher temperature from 16 to 31 °C has lower RR. In discussion stratified by gender, the maximum RRs were achieved for both male group and female group at - 15 °C with lag 21, reporting 4.28 and 2.02, respectively. At high temperature (higher than 20 °C), the RR value of developing TB for female group was significantly larger than 1. In discussion stratified by age, the maximum RRs were achieved for all age groups (≤ 35, 36-64, ≥ 65) at - 15 °C with lag 21, reporting 3.20, 2.07, and 3.45, respectively. When the temperature was higher than 20 °C, the RR of the 36-64-year-old group and the ≥ 65-year-old group was significantly larger than 1 at lag 21, while significantly smaller than 1 for cumulative RR at lag 21, reporting 0.11, 95% confidence interval (CI) (0.01, 0.83) and 0.06, 95% CI (0.01, 0.44), respectively. In conclusion, low temperature, especially in extreme level, acts as a high-risk factor inducing TB transmission in Kashgar city. Males exhibit a significantly higher RR of developing TB at low temperature than female, as well as the elderly group in contrast to the young or middle-aged groups. High temperature has a protective effect on TB transmission in the total population, but female and middle-aged and elderly groups are also required to be alert to the delayed RR induced by it.
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Affiliation(s)
- Yanling Zheng
- College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, China.
| | - Mawlanjan Emam
- Center for Disease Control and Prevention, Kashgar, China
| | - Dongmei Lu
- Center of Respiratory and Critical Care Medicine of the People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Maozai Tian
- College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, China
| | - Kai Wang
- College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, China
| | - Xiaowang Peng
- Center for Disease Control and Prevention, Kashgar, China.
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Li Y, Li J, Zhu Z, Zeng W, Zhu Q, Rong Z, Hu J, Li X, He G, Zhao J, Yin L, Quan Y, Zhang Q, Li M, Zhang L, Zhou Y, Liu T, Ma W, Zeng S, Chen Q, Sun L, Xiao J. Exposure-response relationship between temperature, relative humidity, and varicella: a multicity study in South China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:7594-7604. [PMID: 36044136 DOI: 10.1007/s11356-022-22711-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 08/21/2022] [Indexed: 06/15/2023]
Abstract
Varicella is a rising public health issue. Several studies have tried to quantify the relationships between meteorological factors and varicella incidence but with inconsistent results. We aim to investigate the impact of temperature and relative humidity on varicella, and to further explore the effect modification of these relationships. In this study, the data of varicella and meteorological factors from 2011 to 2019 in 21 cities of Guangdong Province, China were collected. Distributed lag nonlinear models (DLNM) were constructed to explore the relationship between meteorological factors (temperature and relative humidity) and varicella in each city, controlling in school terms, holidays, seasonality, long-term trends, and day of week. Multivariate meta-analysis was applied to pool the city-specific estimations. And the meta-regression was used to explore the effect modification for the spatial heterogeneity of city-specific meteorological factors and social factors (such as disposable income per capita, vaccination coverage, and so on) on varicella. The results indicated that the relationship between temperature and varicella in 21 cities appeared nonlinear with an inverted S-shaped. The relative risk peaked at 20.8 ℃ (RR = 1.42, 95% CI: 1.22, 1.65). The relative humidity-varicella relationship was approximately L-shaped, with a peaking risk at 69.5% relative humidity (RR = 1.25, 95% CI: 1.04, 1.50). The spatial heterogeneity of temperature-varicella relationships may be caused by income or varicella vaccination coverage. And varicella vaccination coverage may contribute to the spatial heterogeneity of the relative humidity-varicella relationship. The findings can help us deepen the understanding of the meteorological factors-varicella association and provide evidence for developing prevention strategy for varicella epidemic.
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Affiliation(s)
- Yihan Li
- School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Jialing Li
- Institute of Immunization Program, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Zhihua Zhu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Qi Zhu
- Institute of Immunization Program, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Zuhua Rong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Jianguo Zhao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Lihua Yin
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Yi Quan
- School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Qian Zhang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Manman Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Li Zhang
- School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Yan Zhou
- School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, China
| | - Siqing Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Qing Chen
- School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Limei Sun
- Institute of Immunization Program, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Jianpeng Xiao
- School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China.
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China.
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Zhang T, Qin W, Nie T, Zhang D, Wu X. Effects of meteorological factors on the incidence of varicella in Lu'an, Eastern China, 2015-2020. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:10052-10062. [PMID: 36066801 DOI: 10.1007/s11356-022-22878-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 08/31/2022] [Indexed: 06/15/2023]
Abstract
Varicella (chickenpox) is a serious public health problem in China, with the most reported cases among childhood vaccine-preventable infectious diseases, and its reported incidence has increased over 20-fold since 2005. Few previous studies have explored the association of multiple meteorological factors with varicella and considered the potential confounding effects of air pollutants. It is the first study to investigate and analyze the effects of multiple meteorological factors on varicella incidence, controlling for the confounding effects of various air pollutants. Daily meteorological and air pollution data and varicella cases were collected from January 1, 2015, to December 31, 2020, in Lu'an, Eastern China. A combination of the quasi-Poisson generalized additive model (GAM) and distributed lag nonlinear model (DLNM) was used to evaluate the meteorological factor-lag-varicella relationship, and the risk of varicella in extreme meteorological conditions. The maximum single-day lag effects of varicella were 1.288 (95%CI, 1.201-1.381, lag 16 day), 1.475 (95%CI, 1.152-1.889, lag 0 day), 1.307 (95%CI, 1.196-1.427, lag 16 day), 1.271 (95%CI, 0.981-1.647, lag 4 day), and 1.266 (95%CI, 1.162-1.378, lag 21 day), when mean temperature, diurnal temperature range (DTR), mean air pressure, wind speed, and sunshine hours were -5.8°C, 13.5°C, 1035.5 hPa, 6 m/s, and 0 h, respectively. At the maximum lag period, the overall effects of mean temperature and pressure on varicella showed W-shaped curves, peaked at 17.5°C (RR=2.085, 95%CI: 1.480-2.937) and 1035.5 hPa (RR=5.481, 95%CI: 1.813-16.577), while DTR showed an M-shaped curve and peaked at 4.4°C (RR=6.131, 95%CI: 1.120-33.570). Sunshine hours were positively correlated with varicella cases at the lag of 0-8 days and 0-9 days when sunshine duration exceeded 10 h. Furthermore, the lag effects of extreme meteorological factors on varicella cases were statistically significant, except for the extremely high wind speed. We found that mean temperature, mean air pressure, DTR, and sunshine hours had significant nonlinear effects on varicella incidence, which may be important predictors of varicella early warning.
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Affiliation(s)
- Tingting Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Wei Qin
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Expanded Program on Immunization, Lu'an Municipal Center for Disease Control and Prevention, Lu'an, 237000, Anhui, China
| | - Tingyue Nie
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Deyue Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Xuezhong Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
- The First Affiliated Hospital of Anhui University of Science and Technology, Huainan, 232000, Anhui, China.
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Epidemiological Characteristics of Varicella under Different Immunisation Strategies in Suzhou Prefecture, Jiangsu Province. Vaccines (Basel) 2022; 10:vaccines10101745. [PMID: 36298610 PMCID: PMC9611842 DOI: 10.3390/vaccines10101745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/13/2022] [Accepted: 10/15/2022] [Indexed: 11/28/2022] Open
Abstract
Background: The varicella vaccine is excluded from the Chinese national immunisation programme but is included in the local expanded programme on immunisation (EPI) in the Suzhou Prefecture. This study investigated the epidemiological characteristics of the varicella cases during the implementation of different immunisation strategies in the Suzhou Prefecture, Jiangsu Province. Methods: In this study, we used descriptive statistics. Information on reported instances from 2012 to 2021 was first retrieved. Data on varicella cases were collected from the China Information System for Disease Control and Prevention (CISDCP). Similarly, information on vaccinated children was obtained from the Jiangsu Province Vaccination Integrated Service Management Information System (JPVISMIS). The census data in this study was procured from the Suzhou Bureau of Statistics. Results: From 2012 to 2021, a total of 118,031 cases of varicella were reported in Suzhou, and the average annual reported incidence was 91.35 per 100,000. The average yearly incidence after implementing the two-dose varicella vaccination decreased by 41.57% compared with the implementation of one dose. This study demonstrates two annual incidence peaks, a small peak between April and July and a prominent peak between October and January. It is also possible that this seasonal distribution is related to the geography of Suzhou. The average annual reported incidence between districts with a statistically significant difference (χ2 = 98.077, p < 0.05). The one-dose varicella vaccination coverage gradually increased from 55.34% in 2012 to 89.06% in 2021 and the two-dose varicella vaccination coverage gradually increased from 0.27% in 2012 to 82.17% in 2021. Conclusions: Administering the varicella vaccine in the local EPI has significantly decreased the incidence rate and the total number of cases. A two-dose vaccination schedule is still the best vaccination strategy for varicella vaccine effectiveness.
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Wang Z, Li X, Li S, Guan J, Hu P, Wang W, Yang F, Zhang D. Association between ambient temperature and varicella among adults in Qingdao, China during 2008-2019. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2022:1-10. [PMID: 35220835 DOI: 10.1080/09603123.2022.2043251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 02/11/2022] [Indexed: 06/14/2023]
Abstract
Little concern has been paid to the relationship between temperature and varicella among adults. Daily meteorological data and varicella cases in Qingdao among adults from 1 January 2008 to 31 December 2019 were collected. A combination of quasi-Poisson generalized additive model (GAM) and distributed lag non-linear model (DLNM) was conducted to assess the temperature-lag-varicella relationship. We also estimated the lag-response curves for different temperatures and the exposure-response relationships for different lag days. The number of varicella cases was 10,296. Compared with the minimum-varicella temperature (25°C), we found the largest effect of temperature on varicella within 21 lag days was at 1°C (RR, 6.72; 95% CI, 2.90-15.57), and then the effect declined as the temperature increased. A similar trend of rising first and then falling was found in temperature-response curves for different lag days. A reverse U-shape lag pattern was found for different levels of temperatures. Temperature may affect varicella.
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Affiliation(s)
- Zixuan Wang
- Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao, Shandong, China
| | - Xiaofan Li
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Shanpeng Li
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Jing Guan
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Ping Hu
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Wencheng Wang
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Feng Yang
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao, Shandong, China
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Wang Z, Li X, Hu P, Li S, Guan J, Wang B, Yang F, Zhang D. Influence of air pollutants on varicella among adults. Sci Rep 2021; 11:21020. [PMID: 34697367 PMCID: PMC8546085 DOI: 10.1038/s41598-021-00507-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Accepted: 10/08/2021] [Indexed: 11/09/2022] Open
Abstract
Little attention has been paid to the relationship between air pollutants and varicella among adults. We used data collected in Qingdao, China from 2014 to 2019. A combination of quasi-Poisson generalized linear model (GLM) and distributed lag non-linear model (DLNM) was applied to evaluate the association between exposure to air pollutants and varicella. And the effects of exposure to extremely high concentration (at 97.5th percentile) and low concentration (at 2.5th percentile) of air pollutants on varicella were also calculated. The level II of GB3095-2012 was used as the reference. A 10 μg/m3 increase of PM2.5 was significantly associated with an increased risk of varicella (lag day: 4, 5 and 6). The negative associations were found for NO2 per 10 μg/m3 increase from lag 15 to 19 day. The high PM2.5 concentration (135 μg/m3) was significantly associated with the increased risk of varicella (lag day: 6, 7). For NO2, the negative association was found at high concentration (75 μg/m3) on lag 15 to 20 day; and the positive relationship was shown at low concentration (10 μg/m3) on lag 15 to 20 day. Exposure to PM2.5 and NO2 were significantly associated with the risk of varicella among adults.
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Affiliation(s)
- Zixuan Wang
- Department of Epidemiology and Health Statistics, The School of Public Health, Qingdao University, No. 308 Ningxia Road, QingdaoShandong, 266021, China
| | - Xiaofan Li
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao, Institute of Preventive Medicine, Qingdao, 266034, Shandong, China
| | - Ping Hu
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao, Institute of Preventive Medicine, Qingdao, 266034, Shandong, China
| | - Shanpeng Li
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao, Institute of Preventive Medicine, Qingdao, 266034, Shandong, China
| | - Jing Guan
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao, Institute of Preventive Medicine, Qingdao, 266034, Shandong, China
| | - Bingling Wang
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao, Institute of Preventive Medicine, Qingdao, 266034, Shandong, China
| | - Feng Yang
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao, Institute of Preventive Medicine, Qingdao, 266034, Shandong, China.
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, The School of Public Health, Qingdao University, No. 308 Ningxia Road, QingdaoShandong, 266021, China.
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11
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Jiang F, Zhang R, Guan Q, Mu Q, He P, Ye X, Wang W, Quan J, Li J, Liang L, Zeng F, Tang N, Xu F, Wu P, Pan Y, Yu X, Yu X, Zheng L, Zhao Y, Cai M, Li C, Zhong Y, Cao X, Yu Y, Zhang X, Zhang T, Wang P, Lei S. Immunogenicity and safety of a live attenuated varicella vaccine in children 1-12 years of age: A randomized, blinded, controlled, non-inferiority phase 3 clinical trial. Contemp Clin Trials 2021; 107:106489. [PMID: 34157417 DOI: 10.1016/j.cct.2021.106489] [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: 03/31/2021] [Revised: 06/15/2021] [Accepted: 06/17/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES To evaluate the immunogenicity and safety of a live attenuated varicella vaccine produced using a cell factory process. METHODS In this randomized, blinded, controlled, non-inferiority phase 3 clinical trial conducted in Guizhou, healthy children aged 1-12 years were randomly assigned in a 2: 1 ratio to receive one dose of experimental or control vaccine. Physical examination and first blood collection were performed preimmunization on day 0. Diary cards were collected after day 15. Contact cards and second blood samples were collected on day 30. The primary immunogenicity endpoint was the positive conversion rate of the anti-varicella virus antibody at 30 days postimmunization in susceptible children. Secondary endpoints were the fourfold increase rate, positive conversion rate, geometric mean titer, and geometric mean increase at 30 days after immunization in the total cohort. RESULTS Of the 900 children assessed for eligibility, 894 received an experimental or control vaccine. Both the full analysis and safety analysis sets included 894 subjects. The seroconversion rate in the susceptible population was 95.84% in the experimental and 94.76% in the control group. The lower limit of the 95% confidence interval difference was -2.37%, which was greater than the non-inferiority margin set by the program (-10%). No significant difference in solicited adverse reactions was found between the groups. Within 6 months postimmunization, a total of 24 serious adverse events were reported, none related to the studied vaccine. CONCLUSION The live attenuated varicella vaccine produced using a cell factory process was highly immunogenic, safe, and non-inferior to the product in the market. Further studies need to be implemented in the immune persistence, the epidemiological effectiveness and the rare adverse reactions.
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Affiliation(s)
- Feng Jiang
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China.
| | - Ruizhi Zhang
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Qinghu Guan
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Qiuyue Mu
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Ping He
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Xingui Ye
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Wenjian Wang
- Dejiang County Center for Disease Control and Prevention, Dejiang 520626, Guizhou Province, People's Republic of China
| | - Jidong Quan
- Dejiang County Center for Disease Control and Prevention, Dejiang 520626, Guizhou Province, People's Republic of China
| | - Jiaqiang Li
- Dejiang County Center for Disease Control and Prevention, Dejiang 520626, Guizhou Province, People's Republic of China
| | - Luxiang Liang
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Fengxiu Zeng
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Ning Tang
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Fei Xu
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Ping Wu
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Yangyang Pan
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Xiaoya Yu
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Xiaoqing Yu
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Longchao Zheng
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China
| | - Yun Zhao
- Shanghai Rongsheng Biotech Co., Ltd., Shanghai, People's Republic of China
| | - Mingyong Cai
- Shanghai Rongsheng Biotech Co., Ltd., Shanghai, People's Republic of China
| | - Cheng Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Yang Zhong
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Xiaohai Cao
- Dejiang County Center for Disease Control and Prevention, Dejiang 520626, Guizhou Province, People's Republic of China
| | - Yu Yu
- Dejiang County Center for Disease Control and Prevention, Dejiang 520626, Guizhou Province, People's Republic of China
| | - Xingyu Zhang
- Department of Systems, Populations and Leadership, University of Michigan School of Nursing, USA; Thomas E. Starzl Transplantation Institute, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Tao Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
| | - Peiyong Wang
- Shanghai Rongsheng Biotech Co., Ltd., Shanghai, People's Republic of China.
| | - Shiguang Lei
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, Guizhou Province, People's Republic of China.
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12
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Khan SAR, Yu Z, Umar M, Lopes de Sousa Jabbour AB, Mor RS. Tackling post-pandemic challenges with digital technologies: an empirical study. JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT 2021. [DOI: 10.1108/jeim-01-2021-0040] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
PurposeThis study aims to examine the impact of Covid-19 on social and eco-environmental sustainability. It will also investigate the effect of advanced technologies in the post-pandemic era.Design/methodology/approachTo get the robust findings, GMM (Generalized Method of Moments) modeling is employed on the panel data of 50 countries across the globe.FindingsThe outcomes indicate that gross fixed capital, logistical operations, knowledge spillover are positive, while Covid-19 is negatively associated with international trade. The results also revealed that Covid-19 spurs poverty and vulnerable employment, while the fertility rate increase creates pressure on economic growth. Also, fossil fuel and energy consumption contribute to carbon emission, while green and advanced technologies may mitigate the environment's adverse effects.Originality/valueThis study is the first of its kind to provide a solution to the challenges posed by the Covid-19 pandemic in the post-pandemic environment. Furthermore, researchers, managers and legislators can use this article's findings to formulate relevant policies for post-pandemic.
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Ceylan Z. Insights into the relationship between weather parameters and COVID-19 outbreak in Lombardy, Italy. INTERNATIONAL JOURNAL OF HEALTHCARE MANAGEMENT 2020. [DOI: 10.1080/20479700.2020.1858394] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Zeynep Ceylan
- Faculty of Engineering, Industrial Engineering Department, Samsun University, Samsun, Turkey
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14
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Anser MK, Yousaf Z, Khan MA, Voo XH, Nassani AA, Alotaibi SM, Abro MMQ, Zaman K. The impacts of COVID-19 measures on global environment and fertility rate: double coincidence. AIR QUALITY, ATMOSPHERE, & HEALTH 2020; 13:1083-1092. [PMID: 32837614 PMCID: PMC7353826 DOI: 10.1007/s11869-020-00865-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 06/30/2020] [Indexed: 05/07/2023]
Abstract
The study aims to examine the effects of coronavirus disease-2019 (COVID-19) measures on global environment and fertility rate by using the data of 1980 to 2019. The results show that communicable diseases including COVID-19 measures decrease carbon emissions and increase the chances of fertility rates in an account of city-wide lockdown. The knowledge spillover substantially decreases carbon emissions, while high energy demand increases carbon emissions. Poverty incidence increases fertility rate in the short-run; however, in the long-run, the result only supported with vulnerable employment and food prices that lead to increase fertility rates worldwide. The study concludes that besides some high negative externalities associated with COVID-19 pandemic in the form of increasing death tolls and rising healthcare costs, the global world should have to know how to direct high mass carbon emissions and population growth through acceptance of preventive measures, which would be helpful to contain coronavirus pandemic at a global scale.
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Affiliation(s)
- Muhammad Khalid Anser
- Department of Public Administration, Xi’an University of Architecture and Technology, Xi’an, 710000 China
| | - Zahid Yousaf
- Higher Education Department Khyber Pakhtunkhwa, Government College of Management Sciences, Abbottabad, 22060 Pakistan
| | - Muhammad Azhar Khan
- Department of Economics, University of Haripur, Haripur, Khyber Pakhtunkhwa Pakistan
| | - Xuan Hinh Voo
- VASS Academy, Business Department, Helsinki, Finland
| | - Abdelmohsen A. Nassani
- Department of Management, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587 Saudi Arabia
| | - Saad M. Alotaibi
- Department of Management, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587 Saudi Arabia
| | - Muhammad Moinuddin Qazi Abro
- Department of Management, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587 Saudi Arabia
| | - Khalid Zaman
- Department of Economics, University of Wah, Quaid Avenue, Wah Cantt, Pakistan
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15
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Todorova TT. Seasonal dynamics of varicella incidence in Bulgaria. Future Virol 2020. [DOI: 10.2217/fvl-2020-0012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Aim: Spatial and temporal distribution of varicella is heterogenic and insufficiently studied in Europe. The present study tries to fill the gap that exists about the seasonality of the infection in Bulgaria. Materials & methods: A 4-year retrospective study of the monthly and seasonal varicella epidemiology was performed at both national and district level. Results: In Bulgaria, varicella incidence peaked during winter (37% of the 2015–2018 cases), followed by spring (33%) and autumn (23%). Highly populated districts were more likely to follow this pattern, while less inhabited districts with smaller urbanized areas showed different periodicity of the infection. Conclusion: Winter peak in varicella incidence is positively associated with high accumulation of people in the large cities (>75,000 inhabitants).
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Affiliation(s)
- Tatina T Todorova
- Department of Microbiology & Virology, Medical University Varna, Faculty of Medicine, Varna, Bulgaria
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