Effectiveness of markers in managing transmission of respiratory pathogens

Despite the findings above, two studies observed no significant change in connection with use or non-use of face mask in controlling influenza (GOV.UK  2020) or common cold (Cowling et al., 2008).Interpretation: The findings of this systematic review and meta-analysis offer the use of goggles in the community setting. Robust randomized trials on nose and mouth mask effectiveness are required to see evidence-based policies.The basic reproduction number R0 is estimated to be the product range 2.4 to 3.9 (36).

face mask

Wu Lien Teh’s work to regulate the 1910 Manchurian Plague may be acclaimed as “a milestone within the systematic practice of epidemiological principles in disease control” (3), in which Wu identified the cloth mask as “the principal means of personal protection.” Although Wu designed the cloth mask that was used through the majority of the world inside the early twentieth century, he noticed that the airborne transmission of plague was known considering that the 13th century, and face coverings were recommended for protection from respiratory pandemics considering that the 14th century (4). Wu reported on experiments that showed a cotton mask was efficient at stopping airborne transmission, and so on observational proof of efficacy for healthcare workers. Masks have remained widely used to manage transmission of respiratory infections in East Asia right through to todays, including for the COVID-19 pandemic (5).


Kai et al. (38) presented two models for predicting the impact of universal mask wearing. Both models showed a substantial impact under (near) universal masking when no less than 80% of the population is wearing masks, versus minimal impact when only 50% or a reduced amount of the population is wearing masks. Their models estimated that 80 to 90% masking would eventually get rid of the disease. They also viewed an empirical dataset, getting a very strong correlation between early universal masking and successful suppression of daily case growth rates and/or reduction from peak daily case growth rates, as predicted by their theoretical simulations.

Author: Zaitar