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1.
Journal of Pharmaceutical Negative Results ; 13:739-757, 2022.
Article in English | Web of Science | ID: covidwho-2111712

ABSTRACT

With different views and perspectives in the effect of work-from-home arrangement on the productivity and efficiency of the delivery of work, this study aims to assess the experiences, benefits, barriers, and success in performing work-from-home administrative functions of the officials and administrative employees of the Polytechnic University of the Philippines. The results of the study will serve as input to crafting the continuity plan of the University amid the disruption of normal operations brought about by the spread of Covid-19 in the Philippines. Also, the study aims to measure monetary and non-monetary benefit and cost derived from implementing different work scheme such as Work from Home and Skeleton. The monetary benefits include the savings and cost incurred by the workers and university. Non -monetary benefits and cost includes assessment of opportunity cost in the form of time allotted for work and mobility from home to workplace.

2.
IEEE Sensors Journal ; : 1-1, 2022.
Article in English | Scopus | ID: covidwho-2088063

ABSTRACT

Mask wearing has become critical for preventing the aerosolization and inhalation of virus-laden particles during the ongoing COVID-19 global pandemic. However, facial masks with effective filtration are either not readily accessible (e.g., N95) or have reduced filtration efficiency due to air gaps between the mask and wearer (e.g., cloth masks). We have developed a novel combination of a mask and shield named Mask And Shield Integrated (MASI) that provides nearly the same levels of protection as an N95 mask by addressing these issues. Magnetic latches reduce gaps between the mask and wearer, while a novel fin structure on the shield provides protection against floating particles. A series of experiments was performed to study MASI’s efficacy in both eliminating mask gaps and also providing N95-like filtration efficiency. MASI was found to solve both problems, thus providing a low-cost mask solution that can be applied to a broad range of environments to prevent inhalation of small air-borne particles. IEEE

3.
13th International Conference on E-Education, E-Business, E-Management, and E-Learning, IC4E 2022 ; : 178-183, 2022.
Article in English | Scopus | ID: covidwho-1840635

ABSTRACT

The research focused on the challenges and opportunities given by the fast transition of academic institutions to remote online learning amid the country's Covid-19 pandemic. Data from online surveys and focus groups were analyzed using descriptive statistics and theme analysis. The consequences and complexity of limited internet connectivity, loss of human interaction, and low skill in digital platforms were highlighted as the primary problems and disadvantages of online learning. The adaptability of the children to the online platform and the teachers' originality, flexibility, and eagerness to learn and adapt in the digital environment transformed these issues into learning opportunities. The university's continued efforts and will to prosper in the new normal of education, eventually preparing itself for the future normal of education, were attributed to the success of distant synchronous and asynchronous online learning. © 2022 ACM.

4.
13th International Conference on E-Education, E-Business, E-Management, and E-Learning, IC4E 2022 ; : 90-96, 2022.
Article in English | Scopus | ID: covidwho-1840634

ABSTRACT

The study demonstrates the learning losses in remote online learning during the Covid-19 pandemic and how online teaching can mitigate these losses. The findings were analyzed using descriptive statistics and theme analysis based on online surveys and focus groups collected. Significant learning losses occurred in an online learning environment due to reduced curricular content, a lack of student engagement, and holistic performance assessment. Unique and varied teaching tactics, such as optimizing the use of online tools and platforms, online teacher presence, and tailored evaluations, were discovered to assure optimal student learning. The University's e-readiness contributes to the e-learning success of the University's curriculum delivery. The findings provided in this paper have policy implications for curriculum review, performance assessment and evaluation in online learning, and intervention and development programs for online teachers. © 2022 ACM.

5.
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1788664

ABSTRACT

The global pandemic declared by the WHO in March 2020 made urgent the need for an affordable adult ventilator for the Philippine market. An existing low-cost infant ventilator developed by Dr. Enrique Ostrea Jr was redesigned and upgraded into one suitable for adult use. A team of Doctors, Engineers, and Technicians was gathered to work on the project. The team was tasked to develop a low-cost, pressure- and volume-controlled ventilator suitable for adult and infant use in the shortest possible time. A model of the ventilator was created using the simulation software Scilab. The model was used to predict its behavior and guide the design of the ventilator. Experiments were conducted to validate the results from the model. It was found that the model satisfactorily predicted the dynamics of the flow inside the ventilator. The modeling and validation activities helped us build the new low-cost ventialtor in less than four months. © 2021 IEEE.

6.
Studies in Systems, Decision and Control ; 366:859-895, 2022.
Article in English | Scopus | ID: covidwho-1516836

ABSTRACT

The chapter discusses the anti-contagion policies of the Philippine government through the implementation of different community quarantine in order to prevent the further exponential spread of Corona Virus (COVID-19) in the Philippines. The study had used the Multi-group Susceptible Recovered model with stage progression or otherwise known as heterogeneous mixing model in order to forecast and assess the impact of the anti-contagion policy of the Philippine government by incorporating heterogeneous characteristics of group of population according to age. The Multi-Group Susceptible infected recovered model enables to provide epidemiological forecast of the COVID cases that takes into account various factors such as patterns of mode of transmission of the disease, recovery rate from the disease, fatality rate based on age, the probability of transmitting the disease based on the number of contact and hours of contact, and time days of onset to either declared infected, recovered, or fatal. The result of the study revealed that the mobility of people has significant contribution to the transmission rate of COVID in the Philippines. Further, the study found that the mobilization of workers in the Philippines, who have aged 21–59 years old and who are exempted in the implementation of community quarantine and allowed to go out of home for work and some essential works and tasking, are the main drivers of fast increase in the transmission of COVID disease in the Philippines. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

7.
2021 IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2021 ; 2021-August:676-679, 2021.
Article in English | Scopus | ID: covidwho-1447889

ABSTRACT

The rapid spread of COVID-19 prompted many to take precautions to control the transmission of the virus. The most crucial of these is face coverings, such as face masks, as the virus is an airborne pathogen capable of transmission via respiratory droplets. While there are developments in smart mask technologies, they only provide passive protection through filtration and internal decontamination against the virus. This paper describes a new approach to smart mask technology that actively monitors for airborne pathogens using a PM sensor and reduces the wearer's exposure to them by an active mitigation strategy. This strategy involves using a mist spray to increase the pathogen's particle size, which reduces their ability to linger in the air. This system can be controlled wirelessly via a mobile application, which also displays the monitoring data. Deployment areas of this smart mask include classrooms, hospitals, and workspaces. Our experimental results demonstrate that increasing droplet sizes reduces the settling time for pathogens. Our future work includes a more precise detection of pathogens and improvements in deploying mitigation using fine-grained analysis about the aerosol and artificial intelligence. © 2021 IEEE.

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