Basic protective measures against the new coronavirus pandemic– COVID-19

Pandit, Rakesh

doi:10.18231/j.jmra.2020.001

Cited by 4 publications

(6 citation statements)

References 2 publications

(2 reference statements)

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“…The incubation period of COVID-19 plays a significant role in determining the suitable duration for quarantine measures and is essential for informing predictive models of incidence curves. However, it is noteworthy that several emerging studies have yielded diverse and varying results regarding the exact duration of this incubation period [47][48][49][50][51][52][53][54]. Lauer et al [55] examined publicly available data on 181 confirmed COVID-19 cases from China.…”

Section: Fuzzy Logic Model Developmentmentioning

confidence: 99%

Predicting High-Risk Individuals in Disease Outbreaks Using Fuzzy Logic-Based Contact Tracing Model.

Aklah,

Al-Safi,

Abdali

2023

Preprint

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Contact tracing plays a crucial role in identifying exposed individuals at high risk of infection during disease outbreaks. In this paper, we propose a fuzzy logic-based contact tracing model for predicting high-risk exposed individuals in disease outbreaks. The model utilizes various input parameters, including distance, overlap time, visiting time lag, incubation time, and facility size, to assess the risk of infection. Through the application of fuzzy logic, the model enables the modeling of complex relationships and uncertainties associated with these input parameters. We evaluated the model using simulated data, demonstrating its effectiveness in identifying individuals at different levels of risk. The evaluation includes partial input evaluation, and comprehensive inputs assessment to assess the impact of each parameter on the risk of infection. The results highlight the importance of considering multiple factors in contact tracing and provide insights into the key parameters that significantly influence the risk assessment. The proposed model has the potential to assist public health authorities in making informed decisions and implementing targeted interventions to mitigate the spread of diseases in outbreak situations. Moreover, it helps to alleviate unnecessary fear among individuals who are less likely to have been infected.

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Section: Fuzzy Logic Model Developmentmentioning

confidence: 99%

Predicting High-Risk Individuals in Disease Outbreaks Using Fuzzy Logic-Based Contact Tracing Model.

Aklah,

Al-Safi,

Abdali

2023

Preprint

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“…The coronavirus disease 2019 (COVID- 19) pandemic pushed all the governments around the world to take radical preventive measures to limit the rapid spread of the disease [1]. In light of the absence of effective antiviral treatment or sufficient vaccination at the beginning of the pandemic, the strategy adopted by the governments was concentrated on measures that limited social contact.…”

Section: Introductionmentioning

confidence: 99%

“…These measures included-but were not limited to isolating confirmed affected cases and tracing quarantine of their close contacts. Avoiding crowds in closed and/or poorly ventilated areas was also adopted for the public leading to the lockdown of schools and universities and the transition to distance learning [1]. These preventive measures led to a negative psychological impact on the public which was exaggerated by the misinformation about COVID-19 updates that were disseminated through social media.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of anxiety and depression among Palestinian university students: a cross-sectional study during COVID-19 pandemic

Ghanim

Rabayaa

Atout

et al. 2022

Middle East Curr Psychiatry

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Background Anxiety and depression are more common among university students than in the general population. It is reported internationally that the COVID-19 pandemic increased the prevalence of anxiety and depression among students. This study aimed to measure the prevalence of anxiety and depression among university students in Palestine and to explore the association between anxiety and depression during the COVID-19 pandemic. A cross-sectional questionnaire-based descriptive study was carried out on university students. The Generalized Anxiety Disorder Scale (GAD-7) and the Center for Epidemiological Studies Depression (CES-D) scale were used to evaluate anxiety and depression, respectively. Chi-square was used to evaluate the risk factors associated with the levels of anxiety and depression. The association between anxiety and depression was evaluated using Pearson correlation. Results A total of 1049 students were enrolled in the study. The prevalence of depression among them was 55.8%, 26.4%, and 9.8% for severe, moderate, and mild depression, respectively. Depression symptoms were significantly variable based on students’ field and year of study, sleeping period, smoking, and food source. The prevalence of anxiety was 16.1%, 30.7%, and 36.1% for severe, moderate, and mild anxiety, respectively. Anxiety symptoms were significantly variable based on students’ gender, year of study, sleeping period, smoking, and place of residence. A strong positive correlation was observed between the CES-D and GAD-7 scores (R = 0.707). Conclusion Palestinian university students suffer from elevated levels of anxiety and depression during the COVID-19 pandemic. This necessitates the need for strategies by stakeholders to take immediate and appropriate interventions.

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“…Such measures showed a positive short-term positive on the environment such as decrease in atmospheric pollutants, reduction in carbon footprint, and decreased demand for fossil and petroleum fuels (due to restriction on traveling and industrial productions). Substantial reductions in environmental emission indices such as carbon, NO2, ozone (O3), SO2 , particulate matter (PM)2.5 and (PM)10 were recorded in major cities, around the globe [10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Challenges and solutions in COVID-19 related pandemic solid waste management (PSWM) - A detailed analysis with special focus on plastic waste

Upadhyay

Bajpai

2022

IOP Conf. Ser.: Earth Environ. Sci.

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A pandemic like novel coronavirus 2’ (SARS-CoV-2) not only poses serious public health repercussions but also affects the socio-economic and environmental conditions of the affected countries. The increased consumption of material resources in conjunction with ‘containment and preventive measures’ is generating an unprecedented amount of potentially infectious solid waste, especially that of plastic origin, which if mismanaged, is bound to affect the ecosystem and public health, as the virus can survive on fomites for longer duration. COVID-19 related pandemic waste, such as Personal protective equipment (PPEs), sanitizer and water bottles, disinfection wipes, and Single use Plastics (SUPs) products has already found its way to the aquatic and terrestrial environment. Even before the start of the COVID-19 pandemic, the management of plastic waste, an environmental stressor with trans-boundary migration capabilities, was a major environmental issue for every stake-holder. In this paper, we propose a separate domain in the waste management framework for the effective management of pandemic related solid waste. Factors and sources contributing to increased plastic waste generation are discussed in detail. A concise picture of global plastic demand through sectors and polymer types is presented and speculations are made on how COVID-19 is going to affect the plastic demand. Current solid waste handling and management practices in developed and developing countries are critically examined from the perspective of this pandemic. We identified various challenges that waste management sectors are facing currently and offered possible solutions. Concerns of transmission through fomites is bringing a change in public behavior and consumption pattern which affects 3R practices, while fear of secondary transmission from occupational infections is interfering with 3R practices at end-of-life plastic waste management. The legislative and restrictive frameworks on plastic use being currently put-on hold at the governmental level to ensure public safety are being used by the plastic industry to lobby for increased plastic consumption. The inability of the governments to win public confidence is further escalating unsustainable practices and slowing the shift towards sustainable economy. It is imperative to enforce sustainable practices without putting public safety at risk and to ensure that an unsustainable societal attitude wouldn’t be reinstated in the post-pandemic world. Lastly, eight research and policy points suggested here may guide future studies and governmental frameworks in the domain of COVID-19 pandemic related solid waste handling and management.

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Basic protective measures against the new coronavirus pandemic– COVID-19

Cited by 4 publications

References 2 publications

Predicting High-Risk Individuals in Disease Outbreaks Using Fuzzy Logic-Based Contact Tracing Model.

Predicting High-Risk Individuals in Disease Outbreaks Using Fuzzy Logic-Based Contact Tracing Model.

Prevalence of anxiety and depression among Palestinian university students: a cross-sectional study during COVID-19 pandemic

Challenges and solutions in COVID-19 related pandemic solid waste management (PSWM) - A detailed analysis with special focus on plastic waste

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