1.Coronavirus Disease 2019 Influenza A in Children: An Observational Control Study in China.
Yang ZHAO ; De Lin SUN ; Heather C BOUCHARD ; Xin Xin ZHANG ; Gang WAN ; Yi Wei HAO ; Shu Xin HE ; Yu Yong JIANG ; Lin PANG
Biomedical and Environmental Sciences 2020;33(8):614-619
		                        		
		                        			
		                        			This study aimed to understand the differences in clinical, epidemiological, and laboratory features between the new coronavirus disease 2019 (COVID-2019) and influenza A in children. Data of 23 hospitalized children with COVID-19 (9 boys, 5.7 ± 3.8 years old) were compared with age- and sex-matched 69 hospitalized and 69 outpatient children with influenza A from a hospital in China. The participants' epidemiological history, family cluster, clinical manifestations, and blood test results were assessed. Compared with either inpatients or outpatients with influenza A, children with COVID-19 showed significantly more frequent family infections and higher ratio of low fever (< 37.3 °C), but shorter cough and fever duration, lower body temperature, and lower rates of cough, fever, high fever (> 39 °C), nasal congestion, rhinorrhea, sore throat, vomiting, myalgia or arthralgia, and febrile seizures. They also showed higher counts of lymphocytes, T lymphocyte CD8, and platelets and levels of cholinesterase, aspartate aminotransferase, lactate dehydrogenase, and lactic acid, but lower serum amyloid, C-reactive protein, and fibrinogen levels and erythrocyte sedimentation rate, and shorter prothrombin time. The level of alanine aminotransferase in children with COVID-19 is lower than that in inpatients but higher than that in outpatients with influenza A. Pediatric COVID-19 is associated with more frequent family infection, milder symptoms, and milder immune responses relative to pediatric influenza A.
		                        		
		                        		
		                        		
		                        			Betacoronavirus
		                        			;
		                        		
		                        			physiology
		                        			;
		                        		
		                        			Case-Control Studies
		                        			;
		                        		
		                        			Child
		                        			;
		                        		
		                        			Coronavirus Infections
		                        			;
		                        		
		                        			blood
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			immunology
		                        			;
		                        		
		                        			virology
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Influenza, Human
		                        			;
		                        		
		                        			blood
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			immunology
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Pandemics
		                        			;
		                        		
		                        			Pneumonia, Viral
		                        			;
		                        		
		                        			blood
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			immunology
		                        			;
		                        		
		                        			virology
		                        			
		                        		
		                        	
2.Impact of Temperature on Influenza A Status during Global Warming Hiatus.
Biomedical and Environmental Sciences 2019;32(7):554-557
		                        		
		                        		
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Aged, 80 and over
		                        			;
		                        		
		                        			Animals
		                        			;
		                        		
		                        			Birds
		                        			;
		                        		
		                        			virology
		                        			;
		                        		
		                        			Child
		                        			;
		                        		
		                        			Child, Preschool
		                        			;
		                        		
		                        			Global Warming
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Infant
		                        			;
		                        		
		                        			Influenza A virus
		                        			;
		                        		
		                        			Influenza, Human
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Orthomyxoviridae Infections
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			Temperature
		                        			;
		                        		
		                        			Young Adult
		                        			
		                        		
		                        	
3.Clinical indices and mortality of hospitalized avian influenza A (H7N9) patients in Guangdong, China.
Yang YANG ; Xue LI ; Guthrie S BIRKHEAD ; Zhe ZHENG ; Jia-Hai LU
Chinese Medical Journal 2019;132(3):302-310
		                        		
		                        			BACKGROUND:
		                        			Six epidemic waves of human infection with avian influenza A (H7N9) virus have emerged in China with high mortality. However, study on quantitative relationship between clinical indices in ill persons and H7N9 outcome (fatal and non-fatal) is still unclear. A retrospective cohort study was conducted to collect laboratory-confirmed cases with H7N9 viral infection from 2013 to 2015 in 23 hospitals across 13 cities in Guangdong Province, China.
		                        		
		                        			METHODS:
		                        			Multivariable logistic regression model and classification tree model analyses were used to detect the threshold of selected clinical indices and risk factors for H7N9 death. The receiver operating characteristic curve (ROC) and analyses were used to compare survival and death distributions and differences between indices. A total of 143 cases with 90 survivors and 53 deaths were investigated.
		                        		
		                        			RESULTS:
		                        			Average age (Odds Ratio (OR) = 1.036, 95% Confidence Interval (CI) = 1.016-1.057), interval days between dates of onset and confirmation (OR = 1.078, 95% CI = 1.004-1.157), interval days between onset and oseltamivir treatment (OR = 5.923, 95% CI = 1.877-18.687), body temperature (BT) (OR = 3.612, 95% CI = 1.914-6.815), white blood cell count (WBC) (OR = 1.212, 95% CI = 1.092-1.346) were significantly associated with H7N9 death after adjusting for confounders. The chance of death from H7N9 infection was 80.0% if BT was over 38.1 °C, and chance of death is 67.4% if WBC count was higher than 9.5 (10/L). Only 27.1% of patients who began oseltamivir treatment less than 9.5 days after disease onset died, compared to 68.8% of those who started treatment more than 15.5 days after onset.
		                        		
		                        			CONCLUSIONS
		                        			The intervals between date of onset and confirmation of diagnosis, between date of onset to oseltamivir treatment, age, BT and WBC are found to be the best predictors of H7N9 mortality.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			China
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			Confidence Intervals
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Hospitalization
		                        			;
		                        		
		                        			statistics & numerical data
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Influenza A Virus, H7N9 Subtype
		                        			;
		                        		
		                        			pathogenicity
		                        			;
		                        		
		                        			Influenza, Human
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			mortality
		                        			;
		                        		
		                        			virology
		                        			;
		                        		
		                        			Logistic Models
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		                        			Male
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			ROC Curve
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Risk Factors
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		                        			Young Adult
		                        			
		                        		
		                        	
4.Avian influenza viruses (AIVs) H9N2 are in the course of reassorting into novel AIVs.
Hui-Ping CHANG ; Li PENG ; Liang CHEN ; Lu-Fang JIANG ; Zhi-Jie ZHANG ; Cheng-Long XIONG ; Gen-Ming ZHAO ; Yue CHEN ; Qing-Wu JIANG
Journal of Zhejiang University. Science. B 2018;19(5):409-414
		                        		
		                        			
		                        			In 2013, two episodes of influenza emerged in China and caused worldwide concern. A new H7N9 avian influenza virus (AIV) first appeared in China on February 19, 2013. By August 31, 2013, the virus had spread to ten provinces and two metropolitan cities. Of 134 patients with H7N9 influenza, 45 died. From then on, epidemics emerged sporadically in China and resulted in several victims. On November 30, 2013, a 73-year-old woman presented with an influenza-like illness. She developed multiple organ failure and died 9 d after the onset of disease. A novel reassortant AIV, H10N8, was isolated from a tracheal aspirate specimen that was obtained from the patient 7 d after onset. This case was the first human case of influenza A subtype H10N8. On 4 February, 2014, another death due to H10N8 avian influenza was reported in Jiangxi Province, China.
		                        		
		                        		
		                        		
		                        			Aged
		                        			;
		                        		
		                        			China
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Influenza A Virus, H10N8 Subtype
		                        			;
		                        		
		                        			classification
		                        			;
		                        		
		                        			Influenza A Virus, H7N9 Subtype
		                        			;
		                        		
		                        			classification
		                        			;
		                        		
		                        			Influenza A Virus, H9N2 Subtype
		                        			;
		                        		
		                        			classification
		                        			;
		                        		
		                        			Influenza, Human
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			virology
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		                        			Phylogeny
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		                        			Reassortant Viruses
		                        			;
		                        		
		                        			classification
		                        			
		                        		
		                        	
5.Epidemiology of human infection with avian influenza A(H7N9) virus in China, 2013-2017.
Di Di HAN ; Chun Xia HAN ; Lu Yu LI ; Ming WANG ; Jing Huan YANG ; Man LI
Chinese Journal of Epidemiology 2018;39(1):44-46
		                        		
		                        			
		                        			Objective: To understand the epidemiological characteristics of human infection with avian influenza A (H7N9) virus in China, and provide evidence for the prevention and control of human infection with H7N9 virus. Methods: The published incidence data of human infection with H7N9 virus in China from March 2013 to April 2017 were collected. Excel 2007 software was used to perform the analysis. The characteristics of distribution of the disease, exposure history, cluster of the disease were described. Results: By the end of April 2017, a total of 1 416 cases of human infection with H7N9 virus were confirmed in China, including 559 deaths, the case fatality rate was 39.5%. In 2016, the case number was lowest (127 cases), with the highest fatality rate (57.5%). The first three provinces with high case numbers were Zhejiang, Guangdong and Jiangsu. The median age of the cases was 55 years and the male to female ratio was 2.3∶1. Up to 66% of cases had clear live poultry exposure history before illness onset, 31% of cases had unknown exposure history and only 3% of the cases had no live poultry exposure history. There were 35 household clusters (5 in 2013, 9 in 2014, 6 in 2015, 5 in 2016, 10 in 2017), which involved 72 cases, accounting for 5% of the total cases. Conclusions: The epidemic of human infection with H7N9 virus in China during 2013-2017 had obvious seasonality and spatial distribution. There was limited family clustering. Infection cases were mostly related to poultry contact.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Age Distribution
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		                        			Aged
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		                        			Aged, 80 and over
		                        			;
		                        		
		                        			Animals
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Cluster Analysis
		                        			;
		                        		
		                        			Disease Outbreaks
		                        			;
		                        		
		                        			Epidemics
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Incidence
		                        			;
		                        		
		                        			Influenza A Virus, H7N9 Subtype/isolation & purification*
		                        			;
		                        		
		                        			Influenza, Human/virology*
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Poultry
		                        			;
		                        		
		                        			Sex Distribution
		                        			
		                        		
		                        	
6.Clinical characteristics and economic burden of influenza among children under 5 years old, in Suzhou, 2011-2017.
J YU ; T ZHANG ; Y WANG ; J M GAO ; J HUA ; J M TIAN ; Y F DING ; J ZHANG ; L L CHEN ; J Q LI ; G M ZHAO
Chinese Journal of Epidemiology 2018;39(6):847-851
		                        		
		                        			
		                        			Objective: To understand the clinical characteristics and economic burden of influenza-like illness (ILI) children aged 0-59 months in the outpatient settings in Suzhou, China, 2011-2017. Methods: From March 2011 to February 2017, we conducted a prospective surveillance program on ILI for children aged less than 5 years at Soochow University Affiliated Children's Hospital. Through standard questionnaires and follow-up survey via telephone, we collected information regarding the demographic characteristics, medical history, clinical symptoms and both direct and indirect costs associated with influenza, of the patients. We then compared clinical characteristics and economic burden of influenza A/H1N1, A/H3N2, and B infections among children with ILI. Results: We enrolled 6 310 patients with ILI from March 2011 to February 2017 and collected all their throat swabs. 791 (12.9%) of the swabs showed positive for influenza virus, including 88 (11.1%) subtype influenza A/H1N1, 288 (36.4%) subtype influenza A/H3N2, and 415(52.5%) type influenza B. The proportions of cough, rhinorrhea, wheezing, vomiting and convulsion in influenza-positive children were higher than those influenza-negative children. Except for the prevalence rates of cough (χ(2)=9.227, P=0.010), wheezing (χ(2)=7.273, P=0.026) and vomiting (χ(2)=8.163, P=0.017), other clinical symptoms appeared similar between the three viral subtypes. Among all the ILI children, the average total cost per episode of influenza was 688.4 Yuan (95%CI: 630.1-746.7) for influenza-negative children; 768.0 Yuan (95%CI: 686.8-849.3) for influenza-positive children and 738.3 Yuan (95%CI: 655.5-821.1) for influenza B. Children with influenza A/H1N1 spent much more than those with influenza A/H3N2 or influenza B in the total cost (χ(2)=7.237, P=0.028). Conclusion: Children infected influenza showed higher prevalence rates of cough, rhinorrhea, wheezing, vomiting and convulsion than those without influenza. Influenza A/H1N1 subtype caused heavier economic burden than the other two influenza subtypes.
		                        		
		                        		
		                        		
		                        			Ambulatory Care/statistics & numerical data*
		                        			;
		                        		
		                        			Child
		                        			;
		                        		
		                        			Child, Preschool
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Cost of Illness
		                        			;
		                        		
		                        			Cough/virology*
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Fever/virology*
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		                        			Humans
		                        			;
		                        		
		                        			Infant
		                        			;
		                        		
		                        			Infant, Newborn
		                        			;
		                        		
		                        			Influenza A Virus, H1N1 Subtype
		                        			;
		                        		
		                        			Influenza A Virus, H3N2 Subtype
		                        			;
		                        		
		                        			Influenza, Human/epidemiology*
		                        			;
		                        		
		                        			Outpatient Clinics, Hospital/statistics & numerical data*
		                        			;
		                        		
		                        			Outpatients/statistics & numerical data*
		                        			;
		                        		
		                        			Prospective Studies
		                        			;
		                        		
		                        			Socioeconomic Factors
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		                        			Surveys and Questionnaires
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		                        			Virus Diseases
		                        			
		                        		
		                        	
7.A review on the preparedness plans on influenza pandemics, by WHO and China: the current status and development.
Chinese Journal of Epidemiology 2018;39(8):1032-1035
		                        		
		                        			
		                        			Every influenza pandemic in history would end up with disastrous outcomes on mankind, of which the most notorious one was the "Spanish flu" pandemic in 1918. In the past century, with advanced knowledge on influenza viruses, laboratory technologies and surveillance methods, human beings were not as helpless when facing the influenza pandemic. In order to control the outbreaks and reducing the negative impacts, programs as: setting up and improving the influenza pandemic preparedness and response plan were recognized as important issues on early detection or prompt warning of any influenza virus strain that might lead to potential pandemics. The scheduled and planned control measures towards the pandemic preparedness and response plan had been considered of key importance in mitigating the peak of pandemic or controlling the transmission of virus. Since the "1918 influenza pandemic" , we had reviewed the evolution and development of plans regarding the preparedness and response on influenza pandemic issued by both WHO and China. We also emphasized on the variety of strategies which were linked to the preparedness and response at different historical stages, to provide reference for the pandemic preparedness of the disease, in the future.
		                        		
		                        		
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Disease Outbreaks/prevention & control*
		                        			;
		                        		
		                        			Forecasting
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Influenza A Virus, H1N1 Subtype
		                        			;
		                        		
		                        			Influenza, Human/virology*
		                        			;
		                        		
		                        			Pandemics/prevention & control*
		                        			
		                        		
		                        	
8.Epidemiological characteristics of influenza in Guangdong province, during winter of 2017-2018.
M KANG ; X H TAN ; Y W YANG ; J WU ; H Z ZHENG ; T SONG
Chinese Journal of Epidemiology 2018;39(8):1071-1076
		                        		
		                        			
		                        			Objective: To understand the epidemiological characteristics of influenza in Guangdong province, during the winter of 2017-2018, to provide evidence for response to the diversity of influenza, in different seasonal patterns. Methods: Data on weekly influenza surveillance from January 2016 to April 2018, were collected in Guangdong. Information on patients with Influenza-like illness (ILI), on influenza virus positive rates and on outbreaks during the winter of 2017 to 2018, was analyzed and compared with those in spring of 2016 and summer of 2017. χ(2) test and Fisher exact test were used. Results: In the above said winter, the average percentage of visits for ILI in 28 hospitals where sentinel surveillance program had been set, was 4.99% (157 235/3 149 656), which was above the level of the same period in the previous five years. The positive rates of influenza virus among samples collected from ILI outpatients and hospitalized cases under severe acute respiratory infection (SARI) were 28.33% (2 137/7 543) and 14.93% (256/1 715), with the proportions of B (Yamagata) as 70.43% (1 505/2 137) and 73.05% (187/256) respectively. A total of 257 influenza outbreaks were reported in the winter period, with 82.49% (212/257) occurred in elementary schools. Cases aged 6-14 years occurred in winter and spring appeared of having higher positive rate than those seen in summer (P<0.05) whereas elderly cases aged 60 and above showed higher positive rate in summer than those in winter and spring two seasons (P<0.05). Conclusions: Epidemiological characteristics of influenza appeared in Guangdong province, during the winter from 2017 to 2018, were correlated to Influenza B (Yamagata). Capacity on the implementation of surveillance programs and on the coverage of vaccination should be improved and increased in order to control influenza in different epidemic seasons, in Guangzhou.
		                        		
		                        		
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Child
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Disease Outbreaks
		                        			;
		                        		
		                        			Epidemics
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Infant
		                        			;
		                        		
		                        			Influenza Vaccines/administration & dosage*
		                        			;
		                        		
		                        			Influenza, Human/virology*
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Orthomyxoviridae/isolation & purification*
		                        			;
		                        		
		                        			Population Surveillance
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		                        			Respiratory Tract Infections/epidemiology*
		                        			;
		                        		
		                        			Seasons
		                        			;
		                        		
		                        			Sentinel Surveillance
		                        			;
		                        		
		                        			Vaccination
		                        			
		                        		
		                        	
9.The influence of statutory holidays on the proportion of the outpatient and emergency visits for influenza-like illness.
T CHEN ; J YANG ; L J WANG ; D Y WANG
Chinese Journal of Epidemiology 2018;39(8):1100-1105
		                        		
		                        			
		                        			Objective: To analyze the reasons for the fluctuations in the percentage of outpatient or emergency visits for influenza-like illness (ILI) during the Spring Festival and National Day in 2014-2018 surveillance season. Methods: ILI surveillance data was collected during the period of Spring Festival and National Day in mainland China, and downloaded from Chinese Influenza Surveillance Information System, during the 2014-2018 surveillance season. Results: There was no significant difference noticed in the number of ILI reports in the festival week with weeks before or after in both the southern and northern provinces. The number of outpatient visits was much less than that of the week before and after, but the number of emergency visits was statistically significantly increased. Conclusion: In the holiday peak of ILI%, the major causes was the impact of holiday-off at sentinel hospitals, resulting in a large reduction in the number of outpatient visits in the consulting room during the festivals.
		                        		
		                        		
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Biometry
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		                        			Child
		                        			;
		                        		
		                        			Child, Preschool
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Disease Outbreaks/prevention & control*
		                        			;
		                        		
		                        			Emergency Service, Hospital/statistics & numerical data*
		                        			;
		                        		
		                        			Holidays
		                        			;
		                        		
		                        			Hospitals
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Influenza, Human/virology*
		                        			;
		                        		
		                        			Outpatients/statistics & numerical data*
		                        			;
		                        		
		                        			Population Surveillance
		                        			;
		                        		
		                        			Respiratory Syncytial Virus Infections/virology*
		                        			;
		                        		
		                        			Respiratory Syncytial Virus, Human/isolation & purification*
		                        			;
		                        		
		                        			Respiratory Tract Infections/virology*
		                        			;
		                        		
		                        			Seasons
		                        			;
		                        		
		                        			Young Adult
		                        			
		                        		
		                        	
10.Genetic characteristics of hemagglutinin and neuraminidase of avian influenza A (H7N9) virus in Guizhou province, 2014-2017.
Y H WAN ; L ZHUANG ; Q N ZHENG ; L J REN ; L FU ; W J JIANG ; G P TANG ; D Z ZHANG ; S J LI
Chinese Journal of Epidemiology 2018;39(11):1465-1471
		                        		
		                        			
		                        			Objective: To understand the molecular characteristics of hemagglutinin (HA) and neuraminidase (NA) as well as the disease risk of influenza virus A H7N9 in Guizhou province. Methods: RNAs were extracted and sequenced from HA and NA genes of H7N9 virus strains obtained from 18 cases of human infection with H7N9 virus and 6 environmental swabs in Guizhou province during 2014-2017. Then the variation and the genetic evolution of the virus were analyzed by using a series of bioinformatics software package. Results: Homology analysis of HA and NA genes revealed that 2 strains detected during 2014-2015 shared 98.8%-99.2% and 99.2% similarities with vaccine strains A/Shanghai/2/2013 and A/Anhui/1/2013 recommended by WHO, respectively. Two strains detected in 2016 and 14 strains detected in 2017 shared 98.2%-99.3% and 97.6%-98.8% similarities with vaccine strain A/Hunan/02650/2016, respectively. Other 6 stains detected in 2017 shared 99.1%-99.4% and 98.9%-99.3% similarities with strain A/Guangdong/17SF003/2016, respectively. Phylogenetic analysis showed that all the strains were directly evolved in the Yangtze River Delta evolution branch, but they were derived from different small branch. PEVPKRKRTAR↓GLF was found in 6 of 24 strains cleavage site sequences of HA protein, indicating the characteristic of highly pathogenic avian influenza virus. Mutations A134V, G186V and Q226L at the receptor binding sites were found in the HA. All the strains had a stalk deletion of 5 amino acid residue "QISNT" in NA protein, and drug resistance mutation R294K occurred in strain A/Guizhou-Danzhai/18980/2017. In addition, potential glycosylation motifs mutations NCS42NCT were found in the NA of 9 of 24 strains. Conclusions: HA and NA genes of avian influenza A (H7N9) virus showed genetic divergence in Guizhou province during 2014-2017. The mutations of key sites might enhance the virulence of the virus, human beings are more susceptible to it. Hence, the risk of infection is increasing.
		                        		
		                        		
		                        		
		                        			Animals
		                        			;
		                        		
		                        			Base Sequence
		                        			;
		                        		
		                        			Birds
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Genome, Viral
		                        			;
		                        		
		                        			Hemagglutinin Glycoproteins, Influenza Virus/immunology*
		                        			;
		                        		
		                        			Hemagglutinins/genetics*
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Influenza A Virus, H7N9 Subtype/isolation & purification*
		                        			;
		                        		
		                        			Influenza in Birds
		                        			;
		                        		
		                        			Influenza, Human/virology*
		                        			;
		                        		
		                        			Neuraminidase/genetics*
		                        			;
		                        		
		                        			Phylogeny
		                        			;
		                        		
		                        			RNA, Viral/genetics*
		                        			;
		                        		
		                        			Sequence Analysis, DNA
		                        			
		                        		
		                        	
            
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