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INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic has led to an increase in global awareness of relevant public health preventive measures. This awareness can be explored using online search trends from major search engines, such as Google Trends. We investigated the relationship between public awareness of preventative measures and progression of the COVID-19 pandemic. METHODS: Search data for five queries ('mask', 'hand washing', 'social distancing', 'hand sanitizer', and 'disinfectant') were extracted from Google Trends in the form of relative search volume (RSV). Global incidence data for COVID-19 were obtained from 1 January to 30 June 2020. These data were analysed and illustrated using a global temporal RSV trend diagram, a geographical RSV distribution chart, scatter plots comparing geographical RSV with average number of daily cases, and heat maps comparing temporal trends of RSV with average number of daily cases. RESULTS: Global temporal trends revealed multiple increases in RSV, associated with specific COVID-19-related news events. The geographical distribution showed top regions of interest for various preventive measures. For the queries 'mask', 'hand washing', 'hand sanitizer', and 'disinfectant', heat maps demonstrated patterns of early RSV peaks in regions with lower average number of daily cases, when the temporal element was incorporated into the analysis. CONCLUSION: Early public awareness of multiple preventive measures was observed in regions with lower average number of daily cases. Our findings indicate optimal public health communication regarding masks, hand washing, hand sanitiser, and disinfectant in the general population during early stages of the COVID-19 pandemic. Early public awareness may facilitate future disease control efforts by public health authorities.
Assuntos
COVID-19 , Desinfetantes , Humanos , COVID-19/epidemiologia , COVID-19/prevenção & controle , Pandemias/prevenção & controle , Infodemiologia , Saúde Pública , ComunicaçãoRESUMO
Water absorption and transport property of textiles is important since it affects wear comfort, efficiency of treatment and functionality of product. This paper introduces an accurate and reliable measurement tester, which is based on gravimetric and image analysis technique, for characterising the transplanar and in-plane wicking property of fabrics. The uniqueness of this instrument is that it is able to directly measure the water absorption amount in real-time, monitor the direction of water transport and estimate the amount of water left on skin when sweating. Throughout the experiment, water supply is continuous which simulates profuse sweating. Testing automation could even minimise variation caused by subjective manipulation, thus enhancing testing accuracy. This instrument is versatile in terms of the fabrics could be tested. A series of shirting fabrics made by different fabric structure and yarn were investigated and the results show that the proposed method has high sensitivity in differentiating fabrics with varying geometrical differences. Fabrics with known hydrophobicity were additionally tested to examine the sensitivity of the instrument. This instrument also demonstrates the flexibility to test on high performance moisture management fabrics and these fabrics were found to have excellent transplanar and in-plane wicking properties.
RESUMO
The water absorption and transport properties of fabrics are critical to wear comfort, especially for sportswear and protective clothing. A new testing apparatus, namely Forced Flow Water Transport Tester (FFWTT), was developed for characterizing the transplanar and in-plane wicking properties of fabrics based on gravimetric and image analysis technique. The uniqueness of this instrument is that the rate of water supply is adjustable to simulate varying sweat rates with reference to the specific end-use conditions ranging from sitting, walking, running to other strenuous activities. This instrument is versatile in terms of the types of fabrics that can be tested. Twenty four types of fabrics with varying constructions and surface finishes were tested. The results showed that FFWTT was highly sensitive and reproducible in differentiating these fabrics and it suggests that water absorption and transport properties of fabrics are sweat rate-dependent. Additionally, two graphic methods were proposed to map the direction of liquid transport and its relation to skin wetness, which provides easy and direct comparison among different fabrics. Correlation analysis showed that FFWTT results have strong correlation with subjective wetness sensation, implying validity and usefulness of the instrument.