Face masks vs. COVID-19: a systematic review

Dehaghi, Behzad Fouladi; Ghodrati-Torbati, Abbas; Teimori, Gholamheidar; Ghavamabadi, Leila Ibrahimi; Jamshidnezhad, Amir

doi:10.17533/udea.iee.v38n2e13

Cited by 25 publications

(14 citation statements)

References 7 publications

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“…Medical masks filter particles larger than 3 µm [ 5 ], while FFP2 masks block particles up to 0.004 µm. Both mask types are therefore suitable not only for preventing the transmission of coronaviruses [ 8 , 9 ] but also for filtering pollen types larger than 5 µm in size. Medical masks and FFP2 masks both offer hospital staff ‘antiviral protection’ of approximately the same magnitude, which should also be useful for local (eye) or inhaled (nose, bronchial) contact with airborne pollen.…”

Section: Discussionmentioning

confidence: 99%

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Face masks suitable for preventing COVID-19 and pollen allergy. A study in the exposure chamber

Bergmann

Kügler²,

Zuberbier

et al. 2021

Allergo J Int

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Summary Background Since the outbreak of the coronavirus pandemic, the population in Germany has been asked to wear face masks in public areas. The masks are accepted by the public. People with a pollen allergy have an interest in knowing whether masks can also provide protection against pollen and thus prevent symptoms even without medication. Method In order to evaluate the potential ‘antipollen effect’ of face masks, 14 adults with confirmed grass pollen-induced allergic rhinoconjunctivitis were exposed to grass pollen for a period of two hours following a standardised protocol. The test was conducted outside of the grass pollen season. The subjects wore either no mask, a medical mask or a FFP2 mask. Results Subjects wearing either mask were clearly able to avoid both nasal and conjunctival symptoms. There were no significant differences between the two masks in terms of effect. Mask wearing to prevent pollen exposure clearly supports overall well-being. Conclusion Wearing a mask during pollen season can be recommended as an effective nondrug option for people with a pollen allergy.

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Section: Discussionmentioning

confidence: 99%

“…The fact that both medical masks and FFP2 masks offer hospital staff ‘antiviral protection’ of approximately the same magnitude was shown in an overview [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Face masks suitable for preventing COVID-19 and pollen allergy. A study in the exposure chamber

Bergmann

Kügler²,

Zuberbier

et al. 2021

Allergo J Int

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show abstract

“…The results of the regression model in Qom are consistent with the results of the study of Mandal et al So that in the regression model and co-linearity diagnostics in Qom, the factor of humidity can explain 85% and maximum temperature can explain 94% of the share of effects in predicting the frequency of positive cases' trend. In similar work by Wu et al, increasing temperature and humidity showed a positive effect on reducing the frequency of positive cases of COVID-19 disease, but nevertheless, preventive and control measures have been emphasized in identifying the sources of infection and preventing the spread of virus outbreaks [20,21]. In the present study, the relationship between urban ambient temperature and the frequency of positive cases of coronavirus was investigated through the machine learning and statistical analysis.…”

Section: Discussionmentioning

confidence: 60%

The role of ambient parameters on transmission rates of the COVID-19 outbreak: A machine learning model

Jamshidnezhad

Hosseini

Ghavamabadi

et al. 2021

WOR

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BACKGROUND: In recent years the relationship between ambient air temperature and the prevalence of viral infection has been under investigation. OBJECTIVE: The study was aimed at providing the statistical and machine learning-based analysis to investigate the influence of climatic factors on frequency of COVID-19 confirmed cases in Iran. METHOD: The data of confirmed cases of COVID-19 and some climatic factors related to 31 provinces of Iran between 04/03/2020 and 05/05/2020 was gathered from official resources. In order to investigate the important climatic factors on the frequency of confirmed cases of COVID-19 in all studied cities, a model based on an artificial neural network (ANN) was developed. RESULTS: The proposed ANN model showed accuracy rates of 87.25%and 86.4%in the training and testing stage, respectively, for classification of COVID-19 confirmed cases. The results showed that in the city of Ahvaz, despite the increase in temperature, the coefficient of determination R2 has been increasing. CONCLUSION: This study clearly showed that, with increasing outdoor temperature, the use of air conditioning systems to set a comfort zone temperature is unavoidable. Thus, the number of positive cases of COVID-19 increases. Also, this study shows the role of closed-air cycle condition in the indoor environment of tropical cities.

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“…The Chinese government quickly proclaimed prevention and control measures for interpersonal communication during the Spring Festival, especially the use of face masks, to impede transmission in health care and community settings ( 12 ). In the year 2020, the Chinese government strongly advocated the universal use of face masks in public places as a means of source control during the COVID-19 pandemic ( 13 ). Chinese residents generally supported the use of masks in public places ( 14 ) as a supplement to social distancing and hand hygiene to contain or slow the exponential growth of the epidemic ( 15 ).…”

Section: Introductionmentioning

confidence: 99%

Another New Year, Will the Chinese Residents Wear Face Masks Again? A Cross-Sectional Survey

Shen

Yan

Cao

et al. 2021

Front. Public Health

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Background: As more and more countries enter the low-transmission phase, maintaining prevention awareness among the population is critical to prevent a secondary outbreak. With large-scale interpersonal communication, whether Chinese residents can maintain a high awareness of prevention and control and adhere to the use of masks during the Chinese New Year of 2021 is worth studying.Methods: A cross-sectional survey was conducted in China from February 4 to 26, 2021. A convenient sampling strategy was adopted to recruit participators. Participants were asked to fill out the questions that assessed the questionnaire on face mask use. Descriptive statistics were used to assess the mask-wearing behaviors of the public. A binary logistic regression analysis was performed to identify the risk factors affecting mask-wearing behaviors.Results: A total of 2,361 residents filled out the questionnaire. In the mixed-effect logistic regression analysis, Chinese residents who were older (OR = 7.899, 95%CI = 4.183–14.916), employed (OR = 1.887, 95%CI = 1.373–2.594), had a chronic disease (OR = 1.777, 95%CI = 1.307–2.418), reused face masks (OR = 22.155, 95%CI = 15.331–32.016) and have read the face mask instructions (OR = 3.552, 95%CI = 1.989–6.341) were more likely to use face masks in interpersonal communication during the Spring Festival; while people who have breathing discomfort caused by face masks (OR = 0.556, 95%CI = 0.312–0.991) and considered that using masks repeatedly is wasteful (OR = 0.657, 95%CI = 0.482–0.895) were more unlikely to use face masks.Conclusions: Our results revealed that 83.86% of people wore face masks during the Chinese New Year; however, some aspects require further promotion. By investigating the use of masks by Chinese residents during the Spring Festival and its influencing factors, we can reflect the prevention awareness of the residents during the low transmission period of COVID-19, which can provide a reference for Chinese and global public health policymakers.

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Face masks vs. COVID-19: a systematic review

Cited by 25 publications

References 7 publications

Face masks suitable for preventing COVID-19 and pollen allergy. A study in the exposure chamber

Face masks suitable for preventing COVID-19 and pollen allergy. A study in the exposure chamber

The role of ambient parameters on transmission rates of the COVID-19 outbreak: A machine learning model

Another New Year, Will the Chinese Residents Wear Face Masks Again? A Cross-Sectional Survey

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