Progress and current status of influenza researches in China

Shi, Tianyun; Feng, Xingdong; Zhang, Jie

doi:10.2478/jtim-2019-0012

Cited by 4 publications

(4 citation statements)

References 34 publications

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“…The number of new cases of HBP cancer worldwide in 2018 was approximately 1.85 million, accounting for 10% of all newly diagnosed cancer cases and resulting in a great financial burden[ 4 , 5 ]. Due to the large number of HBP cancer cases, from the perspective of prevention[ 6 , 7 ], identifying high-risk populations has become an urgent public health issue[ 8 - 10 ].…”

Section: Introductionmentioning

confidence: 99%

Associations between serum uric acid and hepatobiliary-pancreatic cancer: A cohort study

Huang

et al. 2020

WJG

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BACKGROUND Uric acid is the end product of purine metabolism. Previous studies have found that serum uric acid (SUA) levels are associated with the total cancer risk. However, due to the dual effect of uric acid on cancer, the relationship between the SUA levels and most specific-site cancer remains unclear. AIM To investigate the associations between the SUA levels and incidence of hepatobiliary-pancreatic cancer. METHODS In this prospective cohort study, 444462 participants free of cancer from the UK Biobank were included. The SUA levels were measured at baseline, and the incidence of hepatobiliary-pancreatic cancer was determined by contacting the cancer registry. The hazard ratios (HRs) and 95% confidence intervals (CIs) between the SUA levels and hepatobiliary-pancreatic cancer were investigated using multiple adjusted Cox regression models adjusted for potential confounders. RESULTS In total, 920 participants developed liver, gallbladder, biliary tract or pancreatic cancer during a median of 6.6 yrs of follow-up. We found that the HR of pancreatic cancer in the highest SUA group was 1.77 (95%CI: 1.29-2.42) compared with that in the lowest group. After stratifying by gender, we further found that SUA was associated with an increased risk of pancreatic cancer only among the females (highest quartile vs lowest quartile HR 2.04, 95%CI: 1.35-3.08). Among the males, the SUA levels were positively associated with the gallbladder cancer risk (highest quartile vs lowest quartile HR 3.09, 95%CI: 1.28-7.46), but a U-shaped association with the liver cancer risk was observed ( P -nonlinear = 0.03). CONCLUSION SUA is likely to have gender-specific effects on hepatobiliary-pancreatic cancer. High SUA levels are a risk factor for pancreatic cancer in females and gallbladder cancer in males. A U-shaped association with the liver cancer risk was identified.

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Section: Introductionmentioning

confidence: 99%

Associations between serum uric acid and hepatobiliary-pancreatic cancer: A cohort study

Huang

et al. 2020

WJG

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“…Fever and cough were common, while symptoms affecting the digestive system were rare. This suggests that unlike SARS-nCoV, MERS-nCoV, and influenza viruses, respiratory epithelial cells are the primary target of SARS-CoV-2[ 33 - 36 ]. As 58.9% of local NCP patients only showed mild symptoms, a comprehensive evaluation, including lung CT and nucleic acid tests, should be used when monitoring cases outside of Wuhan to avoid omission.…”

Section: Discussionmentioning

confidence: 99%

Epidemiological and clinical characteristics of fifty-six cases of COVID-19 in Liaoning Province, China

Wang

et al. 2020

WJCC

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BACKGROUND Pneumonia of uncertain cause has been reported in Wuhan, China since the beginning of early December 2019. In early January 2020, a novel strain of β-coronavirus was identified by the Chinese Center for Disease Control and Prevention from the pharyngeal swab specimens of patients, which was recently named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). There is evidence of human-to-human transmission and familial cluster outbreak of SARS-CoV-2 infection. The World Health Organization(WHO) recently declared the SARS-CoV-2 epidemic a global health emergency. As of February 17, 2020, 71329 laboratory-confirmed cases (in 25 countries, including the United States and Germany) have been reported globally. Other than its rapid transmission, the epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19) remain unclear. In December 2019, coronavirus disease (named COVID-19 by the WHO) associated with the SARS-CoV-2 emerged in Wuhan, China and spread quickly across the country. AIM To analyze the epidemiological and clinical characteristics of confirmed cases of this disease in Liaoning province, a Chinese region about 1800 km north of Wuhan. METHODS The clinical data of 56 laboratory-confirmed COVID-19 cases due to 2019-nCoV infection were analyzed. The cases originated from eight cities in Liaoning province. RESULTS The median age of the patients was 45 years, and 57.1% of them were male. No patient had been in direct contact with wild animals. Among them, 23 patients (41.1%) had resided in or traveled to Wuhan, 27 cases (48.2%) had been in contact with confirmed COVID-19 patients, 5 cases (8.9%) had been in contact with confirmed patients with a contact history to COVID-19 patients, and 1 case (1.8%) had no apparent history of exposure. Fever (75.0%) and cough (60.7%) were the most common symptoms. The typical manifestations in lung computed tomography (CT) included ground-glass opacity and patchy shadows, with 67.8% of them being bilateral. Among the patients in the cohort, 78.6% showed reduction in their lymphocyte counts, 57.1% showed increases in their C-reactive protein levels, and 50.0% showed decreases in their blood albumin levels. Eleven patients (19.6%) were admitted to intensive care unit, 2 patients (3.5%) progressed to acute respiratory distress syndrome, 4 patients (7.1%) were equipped with non-invasive mechanical ventilation, and 1 patient (1.8) received extracorporeal membrane oxygenation support. There were 5 mild cases (5/56, 8.9%), 40 moderate cases (40/56, 71.4%), 10 severe cases (10/56, 17.9%), and 1 critical case (1/56, 1.8%). No deaths were reported. CONCLUSION SARS-CoV-2 can be transmitted among humans. Most COVID-19 patients show symptoms of fever, cough, lymphocyte reduction, and typical lung CT manifestations. Most are moderate cases. The seriousness of the disease (as indicated by blood oxygen saturation, respira...

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“…For example, Jinan and Tibet have also had small influenza peaks in summer 5 . An outbreak of influenza will lead to public panic and social and economic depression and seriously affect social stability and healthy development 6 . Influenza transmission risk factors encompass individual immune susceptibility 7 , population mobility, meteorological conditions (e.g., low temperatures and reduced ultraviolet radiation) 8 , and air pollution 9 .…”

Section: Introductionmentioning

confidence: 99%

Exploring the spatiotemporal relationship between influenza and air pollution in Fuzhou using spatiotemporal weighted regression model

Chen,

Zheng,

et al. 2024

Sci Rep

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Air pollution has become a significant concern for human health, and its impact on influenza, has been increasingly recognized. This study aims to explore the spatiotemporal heterogeneity of the impacts of air pollution on influenza and to confirm a better method for infectious disease surveillance. Spearman correlation coefficient was used to evaluate the correlation between air pollution and the influenza case counts. VIF was used to test for collinearity among selected air pollutants. OLS regression, GWR, and STWR models were fitted to explore the potential spatiotemporal relationship between air pollution and influenza. The R2, the RSS and the AICc were used to evaluate and compare the models. In addition, the DTW and K-medoids algorithms were applied to cluster the county-level time-series coefficients. Compared with the OLS regression and GWR models, STWR model exhibits superior fit especially when the influenza outbreak changes rapidly and is able to more accurately capture the changes in different regions and time periods. We discovered that identical air pollutant factors may yield contrasting impacts on influenza within the same period in different areas of Fuzhou. NO2 and PM10 showed opposite impacts on influenza in the eastern and western areas of Fuzhou during all periods. Additionally, our investigation revealed that the relationship between air pollutant factors and influenza may exhibit temporal variations in certain regions. From 2013 to 2019, the influence coefficient of O3 on influenza epidemic intensity changed from negative to positive in the western region and from positive to negative in the eastern region. STWR model could be a useful method to explore the spatiotemporal heterogeneity of the impacts of air pollution on influenza in geospatial processes. The research findings emphasize the importance of considering spatiotemporal heterogeneity when studying the relationship between air pollution and influenza.

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Progress and current status of influenza researches in China

Cited by 4 publications

References 34 publications

Associations between serum uric acid and hepatobiliary-pancreatic cancer: A cohort study

Associations between serum uric acid and hepatobiliary-pancreatic cancer: A cohort study

Epidemiological and clinical characteristics of fifty-six cases of COVID-19 in Liaoning Province, China

Exploring the spatiotemporal relationship between influenza and air pollution in Fuzhou using spatiotemporal weighted regression model

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