This study aimed to evaluate the cost-effectiveness of Chaiyin Granules compared with Oseltamivir Phosphate Capsules in the treatment of influenza(exogenous wind-heat syndrome). Based on a randomized, double-blind, positive drug parallel control clinical trial, this study evaluated the pharmacoeconomics of Chaiyin Granules with cost-effectiveness analysis method. A total of 116 patients with influenza from eight hospitals(grade Ⅱ level A above) in 6 cities were selected in this study, including 78 cases in the experimental group with Chaiyin Granules and Oseltamivir Phosphate Capsules placebo, and 38 cases in the control group with Oseltamivir Phosphate Capsules and Chaiyin Granules placebo. The total cost of this study included direct medical cost, direct non-medical cost, and indirect cost. The remission time of clinical symptoms, cure time/cure rate, antipyretic onset time/complete antipyretic time, viral nucleic acid negative rate, and traditional Chinese medicine(TCM) syndrome curative effect were selected as the effect indicators for cost-effectiveness analysis. Four-quadrant diagram was used to estimate the incremental cost-effectiveness ratio. The results showed that Chaiyin Granules were not inferior to Oseltamivir Phosphate Capsules in the remission time of clinical symptoms of influenza(3.1 d vs 2.9 d, P=0.360, non-inferiority margin was 0.5 d). Compared with Oseltamivir Phosphate Capsules, Chaiyin Granules would delay the remission time of clinic symptoms of influenza for 1 d, but could save 213.9 yuan. 1 d delay in cure time could save 149.3 yuan; 1% reduction in the cure rate could save 8.2 yuan; 1 d delay in antipyretic onset time could save 295.4 yuan; 1 d delay in complete antipyretic time could save 114.3 yuan; 1% reduction in the 5-day cure rate of TCM syndrome could save 19.2 yuan. Different from other indicators, there was no statistically significant difference between two groups in the effect of negative conversion rate of viral nucleic acid, but the cost was lower and the effect was superior, and the pharmacoeconomics was not different from that of Oseltamivir Phosphate Capsules in the field of influenza treatment.
Humans ; Antipyretics/therapeutic use* ; Antiviral Agents/therapeutic use* ; Cost-Effectiveness Analysis ; Influenza, Human/drug therapy* ; Nucleic Acids/therapeutic use* ; Oseltamivir/therapeutic use* ; Phosphates/therapeutic use* ; Treatment Outcome ; Double-Blind Method

Xiao Chaihu Decoction combined with Maxing Shigan Decoction is a classic herbal formula. All of them are derived from Treatise on Cold Damage(Shang Han Lun) by ZHANG Zhong-jing. This combination has the effects of harmonizing lesser yang, relieving exterior syndrome, clearing lung heat, and relieving panting. It is mainly used for treating the disease involving the triple-Yang combination of diseases and accumulation of pathogenic heat in the lung. Xiao Chaihu Decoction combined with Maxing Shigan Decoction is a classic combination for the treatment of exogenous diseases involving the triple-Yang combination. They are commonly used in exogenous diseases, especially in the north of China. This combination is also the main treatment strategy for coronavirus disease 2019(COVID-19) accompanied by fever and cough. Maxing Shigan Decoction is a classical herbal formula for treating the syndrome of phlegm-heat obstructing the lung. "Dyspnea after sweating" suggests the accumulation of pathogenic heat in the lung. Patients with mild symptoms may develop cough and asthma along with forehead sweating, and those in critical severe may develop whole-body sweating, especially the front chest. Modern medicine believes that the above situation is related to lung infection. "Mild fever" refers to syndromes rather than pathogenesis. It does not mean that the heat syndrome is not heavy, instead, it suggests that severe heat and inflammation have occurred. The indications of Xiao Chaihu Decoction combined with Maxing Shigan Decoction are as follows.(1) In terms of diseases, it is suitable for the treatment of viral pneumonia, bronchopneumonia, lobar pneumonia, mycoplasma pneumonia, COVID-19 infection, measles with pneumonia, severe acute respiratory syndrome(SARS), avian influenza, H1N1 influenza, chronic obstructive pulmonary disease with acute exacerbation, pertussis, and other influenza and pneumonia.(2) In terms of syndromes, it can be used for the syndromes of bitter mouth, dry pharynx, vertigo, loss of appetite, vexation, vomiting, and fullness and discomfort in the chest and hypochondrium. It can also be used to treat alternate attacks of chill and fever and different degrees of fever, as well as chest tightness, cough, asthma, expectoration, dry mouth, wanting cold drinks, feeling agitated, sweating, yellow urine, dry stool, red tongue, yellow or white fur, and floating, smooth, and powerful pulse, especially the right wrist pulse.
Animals ; Humans ; Cough ; Syndrome ; Influenza A Virus, H1N1 Subtype ; Influenza, Human ; COVID-19 ; Drugs, Chinese Herbal/pharmacology* ; Lung ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Asthma ; Critical Care ; Medicine, Chinese Traditional

OBJECTIVES: To investigate the distribution characteristics of non-bacterial pathogens in community-acquired pneumonia (CAP) in children. METHODS: A total of 1 788 CAP children admitted to Shenyang Children's Hospital from December 2021 to November 2022 were selected. Multiple RT-PCR and capillary electrophoresis were used to detect 10 viral pathogens and 2 atypical pathogens, and serum antibodies of Chlamydial pneumoniae (Ch) and Mycoplasma pneumoniae (MP) were detected. The distribution characteristics of different pathogens were analyzed. RESULTS: Among the 1 788 CAP children, 1 295 children were pathogen-positive, with a positive rate of 72.43% (1 295/1 788), including a viral pathogen positive rate of 59.68% (1 067/1 788) and an atypical pathogen positive rate of 22.04% (394/1 788). The positive rates from high to low were MP, respiratory syncytial virus (RSV), influenza B virus (IVB), human metapneumovirus (HMPV), human rhinovirus (HRV), human parainfluenza virus (HPIV), influenza A virus (IVA), bocavirus (BoV), human adenovirus (HADV), Ch, and human coronavirus (HCOV). RSV and MP were the main pathogens in spring; MP had the highest positive rate in summer, followed by IVA; HMPV had the highest positive rate in autumn; IVB and RSV were the main pathogens in winter. The positive rate of MP in girls was higher than that in boys (P<0.05), and there were no significant differences in other pathogens between genders (P>0.05). The positivity rates of certain pathogens differed among age groups (P<0.05): the positivity rate of MP was highest in the >6 year-old group; the positivity rates of RSV and Ch were highest in the <1 year-old group; the positivity rates of HPIV and IVB were highest in the 1 to <3 year-old group. RSV, MP, HRV, and HMPV were the main pathogens in children with severe pneumonia, while MP was the primary pathogen in children with lobar pneumonia, and MP, IVB, HMPV, RSV, and HRV were the top 5 pathogens in acute bronchopneumonia. CONCLUSIONS MP, RSV, IVB, HMPV, and HRV are the main pathogens of CAP in children, and there are certain differences in the positive rates of respiratory pathogens among children of different ages, genders, and seasons.
Humans ; Child ; Female ; Male ; Infant ; Child, Preschool ; Pneumonia ; Respiratory Syncytial Virus, Human ; Antibodies ; Community-Acquired Infections ; Hospitalization ; Influenza B virus ; Mycoplasma pneumoniae

Humans ; Child ; Brain Diseases ; Influenza, Human/diagnosis* ; Influenza A virus

Objective: To understand the influence of meteorological factors on the morbidity of influenza in northern cities of China and explore the differences in the influence of meteorological factors on the morbidity of influenza in 15 cities. Methods: The monthly reported morbidity of influenza and monthly meteorological data from 2008 to 2020 were collected in 15 provincial capital cities, including Xi 'an, Lanzhou, Xining, Yinchuan and Urumqi (5 northwestern cities), Beijing, Tianjin, Shijiazhuang, Taiyuan, Hohhot, Ji'nan, Zhengzhou (7 northern cities), Shenyang, Changchun and Harbin (3 northeastern cities). The panel data regression model was applied to conduct quantitative analyze on the influence of meteorological factors on influenza morbidity. Results: The univariate and multivariate panel regression analysis showed that after controlling the population density and other meteorological factors, for each 5 ℃ drop of monthly average temperature, the morbidity change percentage (MCP) of influenza was 11.35%, 34.04% and 25.04% in the 3 northeastern cities, 7 northern cities and 5 northwestern cities, respectively, and the best lag period months was 1, 0 and 1 month; When the monthly average relative humidity decreased by 10%, the MCP was 15.84% in 3 cities in northeastern China and 14.80% in 7 cities in northern China respectively, and the best lag period months was 2 and 1 months respectively; The MCP of 5 cities in northwestern China was 4.50% for each 10 mm reduction of monthly accumulated precipitation, and the best lag period months was 1 month; The MCPs of 3 cities in northeastern China and 5 cities in northwestern China were 4.19% and 5.97% respectively when the accumulated sunshine duration of each month decreased by 10 hours, the best lag period months was 1 month. Conclusions: In northern cities of China from 2008 to 2020, the temperature, relative humidity, precipitation and sunshine duration all had negatively impact on the morbidity of influenza, and temperature and relative humidity were the main sensitive meteorological factors. Temperature had a strong direct impact on the morbidity of influenza in 7 cities in northern China, and relative humidity had a strong lag effect on the morbidity of influenza in 3 cities in northeastern China. The duration of sunshine in 5 cities in northwestern China had a greater impact on the morbidity of influenza compared with 3 cities in northeastern China.
Humans ; Cities ; Influenza, Human ; China ; Beijing ; Meteorological Concepts

Objective: To establish a dynamic syndromic surveillance system in the border areas of Yunnan Province based on information technology, evaluate its effectiveness and timeliness in the response to common communicable disease epidemics and improve the communicable disease prevention and control in border areas. Methods: Three border counties were selected for full coverage as study areas, and dynamic surveillance for 14 symptoms and 6 syndromes were conducted in medical institutions, the daily collection of information about students' school absence in primary schools and febrile illness in inbound people at border ports were conducted in these counties from January 2016 to February 2018 to establish an early warning system based on mobile phone and computer platform for a field experimental study. Results: With syndromes of rash, influenza-like illness and the numbers of primary school absence, the most common communicable disease events, such as hand foot and mouth disease, influenza and chickenpox, can be identified 1-5 days in advance by using EARS-3C and Kulldorff time-space scanning models with high sensitivity and specificity. The system is easy to use with strong security and feasibility. All the information and the warning alerts are released in the form of interactive charts and visual maps, which can facilitate the timely response. Conclusions: This system is highly effective and easy to operate in the detection of possible outbreaks of common communicable diseases in border areas in real time, so the timely and effective intervention can be conducted to reduce the risk of local and cross-border communicable disease outbreaks. It has practical application value.
Humans ; Influenza, Human ; Sentinel Surveillance ; Syndrome ; China ; Cell Phone

Objective: To analyze the spatial and temporal distribution characteristics of seasonal A(H3N2) influenza [influenza A(H3N2)] in China and to provide a reference for scientific prevention and control. Methods: The influenza A(H3N2) surveillance data in 2014-2019 was derived from China Influenza Surveillance Information System. A line chart described the epidemic trend analyzed and plotted. Spatial autocorrelation analysis was conducted using ArcGIS 10.7, and spatiotemporal scanning analysis was conducted using SaTScan 10.1. Results: A total of 2 603 209 influenza-like case sample specimens were detected from March 31, 2014, to March 31, 2019, and the influenza A(H3N2) positive rate was 5.96%(155 259/2 603 209). The positive rate of influenza A(H3N2) was statistically significant in the north and southern provinces in each surveillance year (all P<0.05). The high incidence seasons of influenza A (H3N2) were in winter in northern provinces and summer or winter in southern provinces. Influenza A (H3N2) clustered in 31 provinces in 2014-2015 and 2016-2017. High-high clusters were distributed in eight provinces, including Beijing, Tianjin, Hebei, Shandong, Shanxi, Henan, Shaanxi, and Ningxia Hui Autonomous Region in 2014-2015, and high-high clusters were distributed in five provinces including Shanxi, Shandong, Henan, Anhui, and Shanghai in 2016-2017. Spatiotemporal scanning analysis from 2014 to 2019 showed that Shandong and its surrounding twelve provinces clustered from November 2016 to February 2017 (RR=3.59, LLR=9 875.74, P<0.001). Conclusion: Influenza A (H3N2) has high incidence seasons with northern provinces in winter and southern provinces in summer or winter and obvious spatial and temporal clustering characteristics in China from 2014-2019.
Humans ; Influenza, Human/epidemiology* ; China/epidemiology* ; Influenza A Virus, H3N2 Subtype ; Seasons ; Cluster Analysis

Objective: To grasp the epidemiological characteristics of influenza outbreaks in Guangdong Province by analyzing the outbreaks of influenza-like cases reported in Guangdong Province from January 2015 to the end of August 2022. Methods: In response to the outbreak of epidemics in Guangdong Province from 2015 to 2022, information on on-site epidemic control was collected, and epidemiological analysis was conducted to describe the characteristics of the epidemics. The factors that influence the intensity and duration of the outbreak were determined through a logistic regression model. Results: A total of 1 901 influenza outbreaks were reported in Guangdong Province, with an overall incidence of 2.05%. Most outbreak reports occurred from November to January of the following year (50.24%, 955/1 901) and from April to June (29.88%, 568/1 901). A total of 59.23% (1 126/1 901) of the outbreaks were reported in the Pearl River Delta region, and primary and secondary schools were the main places where outbreaks occurred (88.01%, 1 673/1 901). Outbreaks with 10-29 cases were the most common (66.18%, 1 258/1 901), and most outbreaks lasted less than seven days (50.93%,906/1 779). The size of the outbreak was related to the nursery school (aOR=0.38, 95%CI:0.15-0.93), the Pearl River Delta region (aOR=0.60, 95%CI:0.44-0.83), the time interval between the onset of the first case and the time of report (>7 days compared with ≤3 days: aOR=3.01, 95%CI:1.84-4.90), the influenza A(H1N1) (aOR=2.02, 95%CI:1.15-3.55) and the influenza B (Yamagata) (aOR=2.94, 95%CI: 1.50-5.76). The duration of outbreaks was related to school closures (aOR=0.65, 95%CI: 0.47-0.89), the Pearl River Delta region (aOR=0.65, 95%CI: 0.50-0.83) and the time interval between the onset of the first case and the time of report (>7 days compared with ≤3 days: aOR=13.33, 95%CI: 8.80-20.19; 4-7 days compared with ≤3 days: aOR=2.56, 95%CI: 1.81-3.61). Conclusions: An influenza outbreak in Guangdong Province exhibits two peaks, one in the winter and spring seasons and the other in the summer. Primary and secondary schools are high-risk areas, and early reporting of outbreaks is critical for controlling influenza outbreaks in schools. Furthermore, comprehensive measures should be taken to prevent the spread of the epidemic.
Humans ; Influenza A Virus, H1N1 Subtype ; Influenza, Human/epidemiology* ; Disease Outbreaks ; Epidemics ; China/epidemiology*

Influenza is an acute respiratory infectious disease caused by influenza virus. Pregnancy is associated with physiologic and immunological changes that may increase the risk for influenza virus infection and influenza-related complications. Influenza vaccination is the most effective way to prevent influenza virus infection. WHO and many countries have classified pregnant women as a priority population for influenza vaccination, however, there are still many challenges for promoting influenza vaccination in pregnant women in China, influenza vaccination coverage in pregnant women remains low and some influenza vaccine package inserts list pregnancy as an absolute contraindication. In this paper, we summarize the research progress in the effects of influenza infection and influenza vaccination during pregnancy both at home and abroad, then discuss the strategies to promote influenza vaccination in pregnancy for the purpose of providing reference for the related research and policy development in China.
Pregnancy ; Female ; Humans ; Pregnant Women ; Influenza, Human/epidemiology* ; Pregnancy Complications, Infectious/epidemiology* ; Influenza Vaccines ; Vaccination ; Orthomyxoviridae

INTRODUCTION: Although influenza vaccination reduces rates of pneumonia, hospitalisation and mortality, influenza vaccination uptake remains low in older patients. The primary aim was to compare individualised counselling with educational pamphlets alone in improving influenza vaccination uptake. The secondary aims were to evaluate knowledge and attitudes towards influenza vaccination and factors influencing uptake. METHODS: A randomised controlled study was conducted in two government polyclinics with 160 participants per arm. Patients aged 65 years and above attending for doctor consultation were recruited. All participants received an educational pamphlet on influenza vaccination. The intervention group received additional face-to-face counselling. Participants filled a pre- and postintervention questionnaire assessing knowledge of influenza and attitudes towards the vaccine. Follow-up calls and verification of electronic records was done at three months to determine actual vaccine uptake. RESULTS: At three months, 16 (10%) patients in the intervention group and 20 (12.5%) patients in the control group had completed influenza vaccination (P = 0.48). Factors positively associated with vaccine uptake were willingness to receive vaccination immediately after intervention (adjusted odds ratio [OR] 12.15, 95% confidence interval [CI] 4.42-33.38), and male gender (adjusted OR 2.96, 95% CI 1.23-7.12). Individualised counselling was more effective in improving knowledge (P < 0.01). Overall knowledge scores did not influence actual vaccine uptake rates. (adjusted OR 1.10 [0.90-1.3]). CONCLUSION Both arms of patient education increased uptake of influenza vaccination. Individualised counselling was not superior to pamphlets alone in improving uptake. Performing vaccination at the initial point of contact improves actual uptake rates.
Humans ; Male ; Aged ; Influenza Vaccines ; Influenza, Human/prevention & control* ; Vaccination ; Research Design ; Surveys and Questionnaires ; Health Knowledge, Attitudes, Practice