Literature DB >> 26840614

Hygiene Behaviors Associated with Influenza-Like Illness among Adults in Beijing, China: A Large, Population-Based Survey.

Shuangsheng Wu1, Chunna Ma1, Zuyao Yang2, Peng Yang1, Yanhui Chu3, Haiyan Zhang4, Hongjun Li5, Weiyu Hua6, Yaqing Tang7, Chao Li8, Quanyi Wang1.   

Abstract

The objective of this study was to identify possible hygiene behaviors associated with the incidence of ILI among adults in Beijing. In January 2011, we conducted a multi-stage sampling, cross-sectional survey of adults living in Beijing using self-administered anonymous questionnaires. The main outcome variable was self-reported ILI within the past year. Multivariate logistic regression was used to identify factors associated with self-reported ILI. A total of 13003 participants completed the questionnaires. 6068 (46.7%) of all participants reported ILI during the past year. After adjusting for demographic characteristics, the variables significantly associated with a lower likelihood of reporting ILI were regular physical exercise (OR 0.80; 95% CI 0.74-0.87), optimal hand hygiene (OR 0.87; 95% CI 0.80-0.94), face mask use when going to hospitals (OR 0.87; 95% CI 0.80-0.95), and not sharing of towels and handkerchiefs (OR 0.68; 95% CI 0.63-0.73). These results highlight that personal hygiene behaviors were potential preventive factors against the incidence of ILI among adults in Beijing, and future interventions to improve personal hygiene behaviors are needed in Beijing.

Entities:  

Mesh:

Year:  2016        PMID: 26840614      PMCID: PMC4739734          DOI: 10.1371/journal.pone.0148448

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Respiratory pathogens such as seasonal influenza are a major cause of global morbidity and mortality each year, posing threats to the health of the population worldwide [1]. Influenza-like illness (ILI) is a medical diagnosis of possible influenza or other illness causing a set of common symptoms, and ILI data such as ILI rate and ILI count can to some extent reflect the activity of influenza and other respiratory illness [2]. Although some evidence suggests that use of vaccines or antiviral are sufficient to reduce the spread of the diseases, these interventions are virus specific, with unknown effectiveness in epidemic disease [3-4]. On the other hand, personal protective measures such as use of face masks, optimal hand hygiene, and some other physical interventions have been shown to be effective in reducing the transmission of these diseases [5-6]. In addition, they are cheap and easy to be implemented and thus recommended by official institutions [7]. To date, few large-scale population surveys have been performed to describe the prevalence of these hygiene behaviors and examine whether such behaviors are associated with these diseases in developing countries where the burden of influenza and other respiratory illness are heavy and cheap interventions are needed [5-6]. In the present study, we conducted a large population-based cross-sectional survey to examine whether selected hygiene behaviors were associated with the incidence of ILI among adults in Beijing, with a hope to provide an evidence basis for future prevention and control of influenza and other respiratory illness epidemic.

Materials and Methods

Participants and survey design

The target population was Chinese adults living in households in Beijing. Beijing is the capital of China with a population of nearly 20 million as of 2010, and it is divided into 16 districts, which are classified as urban and suburban districts according to the population density and local economic level. A multistage stratified sampling approach was used to recruit participants in January 2011. Considering different age groups (18–29, 30–39, 40–49, 50–59 and 60+), residence (urban or suburban), and gender (male or female), a total of 20 layers were required. We estimated a sample size of 576 participants per layer by the function n = μα2×π×(1-π)/δ2×deff, based on μα = 1.96, self-reported incidence of ILI (π) = 50%, maximum permissible error (δ) = 0.1π, and the design effect of complex sampling (deff) = 1.5. Regarding 20 layers and a no-answer rate of 15%, the optimal sample size for the present study was 13,248 (576 participants per layer×20 layers×1.15). Three urban districts and three suburban districts were randomly chosen to be sampled. Five towns or streets were randomly selected from each district, and then five communities or villages were randomly selected in each of these towns or streets. In total, 150 residents’ committees or villages were confirmed as survey locations. To meet the sample size requirement, about 88 participants needed to be selected at random from each location. To do this, all households in each location were numbered according to the address numbers. Because the family size of Beijing residents was ranged from 2 to 3, approximately 29 to 44 households of them were randomly selected for interview. The interviewers visited these households one by one, and interviewed each adult within these households until 88 residents were investigated in each location.

Data collection

The survey was carried out using a self-administered, anonymous questionnaire, which was available in Chinese and took fifteen to twenty minutes to be completed. The questionnaire consisted of five parts: (1) demographic information (gender, age, educational level, residential district name, highest education, and occupation); (2) history of ILI: Do you have had ILI (defined as fever (temperature ≥38°C) and cough or sore throat) within the past year; (3) Knowledge regarding influenza listed as follows: ‘When were the high-occurrence seasons for the flu in Beijing? ‘, ‘What is the typical clinical symptoms of the flu? ‘, ‘Is the flu same as a cold? ‘, and ‘Which is the best way for influenza prevention? ‘; (4) Health skills listed as follows: ‘Can you understand drug instructions? ‘, ‘Can you read popular science readings about infectious diseases? ‘, ‘Can you understand the results of a routine blood test? ‘, and ‘Can you use thermometer? ‘; (5) Hygiene behaviors listed as follows: ‘How many days did you do physical exercise for more than 30 minutes per day in the past week? ‘, ‘Do you wash your hands properly with soap or hand sanitizers? ‘, ‘Do you wear face mask when going to hospitals ‘, ‘Do you often open windows and doors to keep the air circulation during the respiratory infectious diseases epidemics? ‘, ‘Do you avoid going to the crowed places during the respiratory infectious diseases epidemics? ‘, ‘Do you share towels or handkerchiefs with others? ‘, and ‘Do you have accepted influenza vaccines during the last influenza season? ‘. The value of questions was assigned according to the following principles. One point was assigned when the respondent’s answer to a question was correct or positive, and zero point was assigned if the answer to the question was incorrect or negative. For the question about frequency of physical exercise, one point was assigned to people who answered “≥3 days”. All investigators were well trained in interviewing skills and familiar with the content of questionnaire for this study. Most of them were local healthcare workers with a bachelor degree in epidemiology or general medicine. In order to obtain as high response rates as possible, household visits were undertaken by the investigators who had good relationships with the participants and knew how to motivate them. Prior to each household visit, the investigators made an appointment with the family. Re-visits were made to the households of which all the residents were not available for the first visit. In most cases, respondents completed the questionnaire by themselves. For the respondents who could not understand the questionnaires, the investigators would read and explain the questionnaires to them.

Statistical analysis

The questionnaire data were entered independently by two investigators and verified using Epidata software V.3.1. All the statistical analyses were carried out using SPSS Version 13.0 (SPSS Inc, Chicago, IL). The main outcome variable was self-reported ILI within the past year. Descriptive analyses were performed to generate frequency distributions of the survey variables. Difference among the subgroups were tested by Pearson’s Chi-square test with a two-sided p value <0.05 considered to be statistically significant. Possible determinants of self-reported ILI were investigated by multivariate logistic regression. Demographic characteristics of participants, score of knowledge, score of health skills, and hygiene behaviors were included as independent variables. Adjusted odds ratios with 95% confidence intervals (95% CI) evaluated the magnitude of the association between self-reported ILI and the possible determinants.

Ethics statement

This study was approved by the Institutional Review Board and Human Research Ethics Committee of Beijing Center for Disease Prevention and Control. At the beginning of each interview with the participants, a written consent was obtained from the participants with anonymity guaranteed.

Results

Demographic characteristics of participants

In total, 13003 (97.9%) of the 13287 participants that we approached completed the survey. Of them, 6715 (51.7%) were female and 6427 (49.4%) lived in urban areas. The distribution of age was as follows: 18–29: 20.7% (n = 2697), 30–39: 19.5% (n = 2542), 40–49: 20.0% (n = 2600), 50–59: 20.3% (n = 2642), more than 60 years: 19.4% (n = 2522). 1798 (13.9%) participants reported a low education level (illiterate or primary school), while the others reported a relatively higher education level. (Table 1)
Table 1

Demographic characteristics of participants and self-reported ILI by demographic characteristics.

Demographic characteristicsParticipantsParticipants reporting ILI
No. of subjects%No. of cases%Chi-square value§P value
Residence
 Urban642749.4301346.90.2340.628
 Suburban657650.6305546.5
Gender
 Male628048.3286645.65.0750.024
 Female671551.7319747.6
 Missing*80.15
Age (years)
 18~269720.7129047.82.1820.702
 30~254219.5117846.3
 40~260020.0121546.7
 50~264220.3121446.0
 60~252219.4117146.4
Educational level
 Illiterate3863.019851.337.611<0.001
 Primary school141210.971150.4
 Junior high school366828.2175047.7
 Senior high school368828.4157442.7
 3-year college graduate or higher383629.5182947.7
 Missing*130.16
Occupation
 Employed541141.6254147.07.8950.162
 Students4353.320547.1
 Peasants381029.3179447.1
 Healthcare workers3232.516852.0
 Retirees203715.792245.3
 Waiting for employment9877.643844.4
Overall13003606846.7

§The Chi-square test was used for categorical variables.

* Missing referred to “how many people did not answer this question”.

§The Chi-square test was used for categorical variables. * Missing referred to “how many people did not answer this question”.

Report of ILI by demographic characteristics

Report of ILI by demographic characteristics is shown in Table 1. In total, 6068 (46.7%) of the 13003 participants reported ILI during the past year. The proportion of subjects with ILI was higher among female participants and those with a low education level. However, there was no significant difference across urban or suburban, age groups and the six categories of occupation.

Report of ILI by hygiene behaviors

Of the 13003 participants, 4454 (34.3%) reported doing physical exercise regularly, 2728 (20.9%) reported using face mask when going to hospitals, and 2412 (18.5%) reported recent uptake of influenza vaccine. The other hygiene behaviors were more popular among the participants, such as optimal hand hygiene (52.5%), ventilating the room regularly (86.4%), avoidance of going to the crowded places during respiratory infectious disease epidemics (72.0%), not sharing of towels and handkerchiefs with others (66.5%). (Table 2)
Table 2

Self-reported ILI by hygiene behaviors.

FactorsParticipantsParticipants reporting ILI
No. of subjects%No. of cases%Chi-square valueP value
Regular physical exercise
Yes445434.3189142.550.058<0.001
No725755.8356849.2
Unclear12929.960947.1
Optimal hand hygiene
Yes682752.5301644.236.783<0.001
No615447.3304649.5
Missing*220.2
Face mask use when going to hospitals
Yes272820.9115442.524.179<0.001
No1029879.0491147.8
Missing*90.1
Ventilating the room regularly
Yes1125886.4522246.50.8660.352
No177513.684447.7
Missing*20.0
Avoidance of going to the crowded places during respiratory infectious disease epidemics
Yes939072.0438546.80.3460.556
No364328.0168146.2
Missing*20.0
Not sharing of towels and handkerchiefs
Yes866966.5372543.1136.2<0.001
No434633.3233553.9
Missing*200.2
Recent uptake of influenza vaccine
Yes241218.5121450.316.23<0.001
No1056281.2483745.8
Missing*290.2
Score of knowledge
01591.28452.815.483<0.001
110167.852551.9
2294922.6140247.7
3471136.2214445.6
4360327.6163045.4
Missing*5914.5
Score of health skills
0138810.768149.120.548<0.001
1299423.0146248.8
2294022.6140147.7
3274821.1124545.3
4289922.3126943.8
Missing*340.3

* Missing referred to “how many people did not answer this question”.

* Missing referred to “how many people did not answer this question”. Report of ILI by hygiene behaviors is shown in Table 2. Chi-square tests showed that regular physical exercise, optimal hand hygiene, face mask use when going to hospitals, not sharing of towels and handkerchiefs, not receiving influenza vaccination recently, higher level of knowledge, and higher level of health skills were factors associated with a lower proportion of subjects reporting ILI.

Multiple logistic regression analysis for factors associated with self-reported ILI

The results of multivariate analysis are shown in Table 3. After adjusting for demographic characteristics, the variables that were significantly associated with a lower likelihood of reporting ILI were regular physical exercise (OR 0.80; 95% CI 0.74–0.87), optimal hand hygiene (OR 0.87; 95% CI 0.80–0.94), face mask use when going to hospitals (OR 0.87; 95% CI 0.80–0.95), and not sharing of towels and handkerchiefs (OR 0.68; 95% CI 0.63–0.73). However, recent uptake of influenza vaccine (OR 1.24; 95% CI 1.13–1.36) was significantly associated with a higher likelihood of reporting ILI. Ventilating the room regularly, avoidance of going to the crowded places during respiratory infectious disease epidemics, score of knowledge, and score of health skills were not significantly associated with report of ILI.
Table 3

Multiple logistic regression analysis for factors associated with self-reported ILI.

FactorsOR95% C.I. for ORP value
Regular physical exercise
Yes0.800.740.87<0.001
No1.00
Optimal hand hygiene
Yes0.870.800.94<0.001
No1.00
Face mask use when going to hospitals
Yes0.870.800.950.003
No1.00
Not sharing of towels and handkerchiefs
Yes0.680.630.73<0.001
No1.00
Recent uptake of influenza vaccine
Yes1.241.131.36<0.001
No1.00

Discussion

In this cross-sectional study we found that optimal hand hygiene and face mask use were significantly associated with a lower likelihood of reporting ILI. Our results are consistent with a previous randomized trial among young adults during the 2006–2007 influenza season, which found that both face mask use and hand hygiene were associated with a significant reduction of the rate of seasonal ILI [8]. A previous meta-analysis has also confirmed the effectiveness of these interventions to reduce the spread of respiratory viruses [5-6]. Another systematic review reported that the effectiveness of hand hygiene interventions varied with setting and compliance, and a significantly more reduction of respiratory infection was observed among people in low-middle-income setting [9]. These data reveal that cheap interventions targeted at improvement of personal hygiene behaviors are very important in low- and middle-income countries, such as China. Many studies supported the idea that regular physical exercise is an effective measure for chronic disease prevention. In this study, regular physical exercise was also found to be a protective factor against the incidence of ILI. A recent meta-analysis of four studies obtained similar results that regular, moderate-intensity exercise may have an effect on the prevention of the common cold, and the risk of the common cold in exercise group was 27% lower as compared to the control group [10]. The protective effects of regular physical exercise on these infectious diseases may be partially explained by enhanced activity of several immune parameters that could be important in limiting or clearing viral infection [11]. In addition, numerous studies have revealed that behavioral interventions, particularly those focused on exercise, can enhance antibody responses to vaccination [12-13]. This suggests that exercise is an appealing behavioral intervention for infectious disease prevention. Our results indicate that not sharing of towels and handkerchiefs can reduce the incidence of ILI by 32 percent. Towels and handkerchiefs are life's necessities for Chinese people, and nearly one-third of the respondents reported “share towels or handkerchiefs with others” in this study. Indeed, sharing towels and handkerchiefs is a risk factor of influenza and many other respiratory infectious diseases, and their pathogens can be spread from contaminated surfaces when towels and handkerchiefs are used to dry or clean face and hands. In a study from China, sharing towels was found to be a risk factor for outbreaks of respiratory infectious diseases [14]. We therefore should include “do not share towels or handkerchiefs” as a measure for these diseases prevention. Vaccination is an effective measure to reduce influenza infection and influenza-related morbidity and mortality [15-17]. However, we observed that influenza vaccination was significantly associated with increased ILI in this study. Other studies have reported similar findings that the vaccine did not effectively protect against influenza viruses [8,18]. Several factors may explain this result. First, compared with those who have not had a vaccination, the respondents who seek vaccination may be more health-conscious and likely to report ILI. Second, other respiratory pathogens can also cause ILI in adults, but influenza vaccines cannot prevent these pathogens. During the period of this study, in addition to the influenza viruses (positive rate = 28.6%), respiratory syncytial virus (17.7%), and adenovirus (17.3%) were also found to be the main viruses responsible for acute respiratory infections [19]. Other factors such as methodology, group of population, degree of exposure, and diagnostic criteria have effect on the evaluation of influenza vaccine efficacy [8,18]. Seasonal influenza and other respiratory illness can be transmitted through the airborne route by coughing and sneezing, and to a less extent, singing and talking. Natural ventilation created by opening windows and doors provided high rates of air exchange and theoretical protection against airborne infectious agents [20]. Although potential preventive factors such as ventilating the room regularly and avoidance of going to the crowded places were included in our study, we did not observe any decreased individual risk of ILI. In contrast, a review concluded that there was sufficient evidence to demonstrate the association between ventilation in building and airborne transmission of infectious agents such as measles, tuberculosis, chickenpox, influenza, smallpox and SARS [21]. This inconsistent result may be explained by the different study sites. Most of these original studies were conducted in hospitals, while this study was conducted at homes or other living environments. Because there are more patients who coughed and sneezed in hospitals compared to other sites, people visiting hospitals are more likely to be infected by influenza and other respiratory illness via the airborne route. In contrast, there are fewer patients in other sites, and coughing and sneezing are relatively rare events during daily life [22]. Therefore, the effect of above mentioned two preventive behaviors in hospitals may be greater than in other sites. In addition, the effect of above mentioned two preventive behaviors are possibly underestimated, since people who adopted these two hygiene behaviors are more health-conscious and likely to report ILI. This study has several limitations. First, to complete the self-administered questionnaire, the respondents had to recall their experience, which may have introduced recall bias in data collection. Second, ILI was used to represent infectious diseases, but it is possible that the symptom was caused by non-infectious diseases in some cases. Nevertheless, a study in Beijing showed that about 60% of ILI patients were caused by respiratory viruses during this study period [19]. Thus, ILI data can to some extent reflect the activity of influenza and other respiratory illness. Third, this study was not conducted during a specific emergent infectious disease pandemic. Therefore, our observations might not be generalized well to the prevention of emergent infectious diseases of which the transmission characteristics may be different from seasonal influenza and other respiratory illness.

Conclusions

In conclusion, personal hygiene behaviors, such as hand washing, wearing face mask, regular physical exercise, and not sharing of towels and handkerchiefs were found to be associated with lower incidence of ILI among adults in Beijing. These data reveal that simple hygiene measures seem to be effective at reducing the transmission of influenza and other respiratory illness. Despite the importance of such low cost and effective measures, maintaining hygiene behaviors for long periods would be difficult. Thus, future intervention studies targeted at improvement of personal hygiene behaviors are needed in Beijing.

Data set of this study.

(XLS) Click here for additional data file.
  20 in total

1.  Personalized ventilation as a control measure for airborne transmissible disease spread.

Authors:  Jovan Pantelic; Gin Nam Sze-To; Kwok Wai Tham; Christopher Y H Chao; Yong Chuan Mike Khoo
Journal:  J R Soc Interface       Date:  2009-10-07       Impact factor: 4.118

2.  Increased production of autoantibodies and specific antibodies in response to influenza virus vaccination in physically active older individuals.

Authors:  André L L Bachi; Vinicius M Suguri; Luiz Roberto Ramos; Mario Mariano; Mauro Vaisberg; Jose D Lopes
Journal:  Results Immunol       Date:  2013-02-04

Review 3.  What is the evidence for a causal link between hygiene and infections?

Authors:  Allison E Aiello; Elaine L Larson
Journal:  Lancet Infect Dis       Date:  2002-02       Impact factor: 25.071

Review 4.  Physical interventions to interrupt or reduce the spread of respiratory viruses.

Authors:  Tom Jefferson; Chris Del Mar; Liz Dooley; Eliana Ferroni; Lubna A Al-Ansary; Ghada A Bawazeer; Mieke L van Driel; Sreekumaran Nair; Ruth Foxlee; Alessandro Rivetti
Journal:  Cochrane Database Syst Rev       Date:  2010-01-20

Review 5.  Vaccines for preventing influenza in healthy children.

Authors:  Tom Jefferson; Alessandro Rivetti; Anthony Harnden; Carlo Di Pietrantonj; Vittorio Demicheli
Journal:  Cochrane Database Syst Rev       Date:  2008-04-16

6.  Chronic exercise reduces illness severity, decreases viral load, and results in greater anti-inflammatory effects than acute exercise during influenza infection.

Authors:  Young-Je Sim; Shan Yu; Kyoung-Jin Yoon; Kyoungjin J Yoon; Christie M Loiacono; Marian L Kohut
Journal:  J Infect Dis       Date:  2009-11-01       Impact factor: 5.226

Review 7.  Optimizing benefits of influenza virus vaccination during pregnancy: potential behavioral risk factors and interventions.

Authors:  Lisa M Christian
Journal:  Vaccine       Date:  2014-04-04       Impact factor: 3.641

Review 8.  Physical interventions to interrupt or reduce the spread of respiratory viruses: systematic review.

Authors:  Tom Jefferson; Chris Del Mar; Liz Dooley; Eliana Ferroni; Lubna A Al-Ansary; Ghada A Bawazeer; Mieke L van Driel; Ruth Foxlee; Alessandro Rivetti
Journal:  BMJ       Date:  2009-09-21

9.  Airflow dynamics of human jets: sneezing and breathing - potential sources of infectious aerosols.

Authors:  Julian W Tang; Andre D Nicolle; Christian A Klettner; Jovan Pantelic; Liangde Wang; Amin Bin Suhaimi; Ashlynn Y L Tan; Garrett W X Ong; Ruikun Su; Chandra Sekhar; David D W Cheong; Kwok Wai Tham
Journal:  PLoS One       Date:  2013-04-01       Impact factor: 3.240

Review 10.  Intervention strategies for emerging viruses: use of antivirals.

Authors:  Yannick Debing; Dirk Jochmans; Johan Neyts
Journal:  Curr Opin Virol       Date:  2013-04-04       Impact factor: 7.090

View more
  11 in total

Review 1.  Coronavirus disease-2019: A tocsin to our aging, unfit, corpulent, and immunodeficient society.

Authors:  David C Nieman
Journal:  J Sport Health Sci       Date:  2020-05-08       Impact factor: 7.179

2.  Effectiveness of hand hygiene practices in preventing influenza virus infection in the community setting: A systematic review.

Authors:  K Moncion; K Young; M Tunis; S Rempel; R Stirling; L Zhao
Journal:  Can Commun Dis Rep       Date:  2019-01-03

Review 3.  The compelling link between physical activity and the body's defense system.

Authors:  David C Nieman; Laurel M Wentz
Journal:  J Sport Health Sci       Date:  2018-11-16       Impact factor: 7.179

4.  Do various personal hygiene habits protect us against influenza-like illness?

Authors:  Amro K Bin Abdulrahman; Khalid A Bin Abdulrahman; Mansour K Almadi; Abdulrahman M Alharbi; Mahmoud A Mahmoud; Mohammed S Almasri; Tariq R Alanazi; Rakan A Alarifi; Abdullah A Kilani; Omar S Albluwi; Muaath A Al Fraih; Yaser T Al Otabi; Hani O Alanazi; Waleed A Almufarih; Abdullah M Alokayli; Omar A Alwhibi
Journal:  BMC Public Health       Date:  2019-10-22       Impact factor: 3.295

5.  Promising effects of exercise on the cardiovascular, metabolic and immune system during COVID-19 period.

Authors:  Isley Jesus; Valentin Vanhee; Therese B Deramaudt; Marcel Bonay
Journal:  J Hum Hypertens       Date:  2020-09-17       Impact factor: 3.012

6.  How has the COVID-19 pandemic affected gastrointestinal surgery for malignancies and surgical infections?

Authors:  Yusuke Ishibashi; Hironori Tsujimoto; Hidekazu Sugasawa; Satsuki Mochizuki; Koichi Okamoto; Yoshiki Kajiwara; Eiji Shinto; Risa Takahata; Minako Kobayashi; Yuji Fujikura; Kazuo Hase; Yoji Kishi; Hideki Ueno
Journal:  Nagoya J Med Sci       Date:  2021-11       Impact factor: 1.131

7.  Preventive behaviors adults report using to avoid catching or spreading influenza, United States, 2015-16 influenza season.

Authors:  Anup Srivastav; Tammy A Santibanez; Peng-Jun Lu; M Christopher Stringer; Jill A Dever; Michael Bostwick; Marshica Stanley Kurtz; Noreen L Qualls; Walter W Williams
Journal:  PLoS One       Date:  2018-03-30       Impact factor: 3.240

8.  Estimating the Risk of Influenza-Like Illness Transmission Through Social Contacts: Web-Based Participatory Cohort Study.

Authors:  Ta-Chien Chan; Tsuey-Hwa Hu; Jing-Shiang Hwang
Journal:  JMIR Public Health Surveill       Date:  2018-04-09

9.  Willingness to accept a future influenza A(H7N9) vaccine in Beijing, China.

Authors:  Shuangsheng Wu; Jianting Su; Peng Yang; Haiyan Zhang; Hongjun Li; Yanhui Chu; Weiyu Hua; Chao Li; Yaqing Tang; Quanyi Wang
Journal:  Vaccine       Date:  2017-12-13       Impact factor: 3.641

10.  Face coverings for the public: Laying straw men to rest.

Authors:  Trisha Greenhalgh
Journal:  J Eval Clin Pract       Date:  2020-05-26       Impact factor: 2.336

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.