Search results for “Coronavirus COVID-19

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4 articles

Knowledge And Preventive Practice Towards Covid-19 Infection Among Pregnant Women In Public Hospitals Addis Ababa, Ethiopia, 2022

Sep 2023 DOI 10.14302/issn.2381-862x.jwrh-23-4601
Ali Jemal SamrawitCorresponding author

Background The novel coronavirus COVID-19 has created massive challenges to public health worldwide. Pregnant women are an immune-depressed status which makes pregnant women generally more vulnerable to COVID-19 infection and severe illness. The present preventive measure practices have gaps. Therefore, the current study aimed to present accurate and latest information regarding preventive measures for COVID-19 infection among pregnant women. Methods and materials Institution-based cross-sectional study design was conducted on 422 pregnant women in public hospitals in Addis Ababa using a pretested structured questionnaire. Face-to-face interview on pretested and structured questions was conducted to collect the data between January 12 and February 15, 2022. The collected data were entered into Epi data version 4.4.2.2 and exported to SPSS window version 25 for analysis. Descriptive statics and multivariable logistic regression were analyzed. Odds ratio with a 95% confidence interval and p-value ≤ 0.05 were declared statistical significance independent variables. Result A total of 418 pregnant women participated, and the response rate was 99.05%. About 417 (99.8%) pregnant women reported never hearing about COVID-19. Of those who heard about COVID-19, only 49% and 54.3% had good knowledge and had good practice towards COVID-19 infection respectively. Age (26-30yrs (AOR=0.46, 95%CI: 0.014,0.12), no education (AOR=0.23, 95%CI: 0.099-0.52), Primary school (AOR=0.199, 95%CI: 0.104-0.4) and Secondary school (AOR=0.282, 95%CI: 0.14-0.55), divorced (AOR=0.15, 95%CI: 0.065-0.34) and widowed (AOR=0.16, 95%CI: 0.024-1.03)) were factors that associated with knowledge towards COVID-19 infection. Age (30-35yrs (AOR=0.334, 95%: 0.115-0.97) and >36yrs (AOR=0.28, 95%CI: 0.11-0.69)), no education (AOR=0.06, 95%CI: 0.019-0.18), being a civil servant (AOR= 0.28, 95%CI: 0.122-0.66), divorced (AOR=0.042, 95%CI: 0.01-0.18), having >4 family size (AOR=0.334, 95%CI: 0.169-0.66), no previous complication of pregnancy outcomes (AOR=0.019, 95%CI: 0.01-0.061), chronic health problem (AOR=14.66, 95%CI: 0.457-39.4) and two ANC visit (AOR=5.704, 95%CI: 2.41-13.5) were factors that associated with the practice towards COVID-19. Conclusion In this study area, only half of pregnant women had good knowledge and good practice about covid-19 infection prevention measures.  

Models and data Analysis of the Outbreak Risk of COVID-19

Jan 2021 DOI 10.14302/issn.2692-1537.ijcv-20-3383
Zhao BinCorresponding author School of Science, Hubei University of Technology, Wuhan, Hubei, China.

With the spread of the new coronavirus around the world, governments of various countries have begun to use the mathematical modeling method to construct some virus transmission models assessing the risks of spatial spread of the new coronavirus COVID-19, while carrying out epidemic prevention work, and then calculate the inflection point for better prevention and control of epidemic transmission. This work analyzes the spread of the new coronavirus in China, Italy, Germany, Spain, and France, and explores the quantitative relationship between the growth rate of the number of new coronavirus infections and time. In investigating the dynamics of a disease such as COVID-19, its mathematical representation can be constructed at many levels of details, guided by the questions the model tries to help answer. Mathematical sophistication may have to yield to a more pragmatic approach closer to the ability to make predictions that inform public health policies. Background In December 2019 , the first Chinese patients with pneumonia of unknown cause is China admitted to hospital in Wuhan, Hubei Jinyintan , since then, COVID-19 in the rapid expansion of China Wuhan, Hubei, in a few months time, COVID-19 is Soon it spread to a total of 34 provincial-level administrative regions in China and neighboring countries, and Hubei Province immediately became the hardest hit by the new coronavirus. In an emergency situation, we strive to establish an accurate infectious disease retardation growth model to predict the development and propagation of COVID-19, and on this basis, make some short-term effective predictions. The construction of this model has Relevant departments are helpful for the prevention and monitoring of the new coronavirus, and also strive for more time for the clinical trials of Chinese researchers and the research on vaccines against the virus to eliminate the new corona virus as soon as possible. Methods According to the original data change law, Establish a Logistic growth model, we collect and compare and integrate the spread of COVID-19 in China, Italy, France, Spain and Germany, record the virus transmission trend among people in each country and the protest measures of relevant government departments. Findings Based on the analysis results of the Logistic model model, the Logistic model has a good fitting effect on the actual cumulative number of confirmed cases, which can bring a better effect to the prediction of the epidemic situation and the prevention and control of the epidemic situation. Interpretation In the early stage of the epidemic, due to inadequate anti-epidemic measures in various countries, the epidemic situation in various countries spread rapidly. However, with the gradual understanding of COVI D -19, the epidemic situation began to be gradually controlled, thereby retarding growth

Can Vitamin D Positively Impact COVID-19 Risk and Severity Among Older Adults: A Review of the Evidence

Dec 2020 DOI 10.14302/issn.2474-7785.jarh-20-3650
Marks RayCorresponding author Department of Health and Behavior Studies, Teachers College, Columbia University, NY 10027, United States

Background The coronavirus Covid-19 strain that emerged in December 2019, continues to produce a widespread and seemingly intractable negative impact on health and longevity in all parts of the world, especially, among older adults, and those with chronic health conditions. Aim The first aim of this review article was to examine, summarize, synthesize, and report on the research base concerning the possible use of vitamin-D supplementation for reducing both Covid-19 risk and severity, especially among older adults at high risk for Covid-19 infections. A second was to provide directives for researchers or professionals who work or are likely to work in this realm in the future. Methods All English language relevant publications detailing the possible efficacy of vitamin D as an intervention strategy for minimizing Covid-19 infection risk published in 2020 were systematically sought. Key words used were: Vitamin D, Covid-19, and Coronavirus. Databases used were PubMed, Scopus, and Web of Science. All relevant articles were carefully examined and those meeting the review criteria were carefully read, and described in narrative form. Results Collectively, these data reveal vitamin D is a powerful steroid like compound that is required by the body to help many life affirming physiological functions, including immune processes, but its deficiency may seriously impact the health status and well being of the older adult and others. Since vitamin D is not manufactured by the body directly, ensuring those who are deficient in vitamin D may prove a helpful overall preventive measure as well as a helpful treatment measure among older adults at high risk for severe Covid-19 disease outcomes. Conclusions Older individuals with chronic health conditions, as well as healthy older adults at risk for vitamin D deficiency are likely to benefit physically as well as mentally, from efforts to foster adequate vitamin D levels. Geriatric clinicians can expect this form of intervention to reduce infection severity in the presence of Covid-19 infection, regardless of health status, and subject to careful study, researchers can make a highly notable impact in this regard.

Tele-Pharmacists’ Prospects in Pandemic Situations: A Bangladesh Scenario

May 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3355
Kader Mohiuddin AbdulCorresponding author Secretary and Treasurer, Dr. M. Nasirullah Memorial Trust, Tejgaon, Dhaka 1215, Bangladesh

Telemedicine and telehealth technologies are especially effective during epidemic outbreaks, when health authorities recommend implementing social distance systems. Currently, coronavirus COVID-19 has affected 210 countries around the world, killed more than 200,000 and infected more than 3 million, according to worldometer, April 26, 2020. Home-care is especially important in these situations because hospitals are not seemingly safe during pandemic outbreaks. Also, the chance to get out of the home during the lockdown period is limited. Telephone-based measures improve efficiency by linking appropriate information and feedback. It can also help provide education at distance on various health issues and topics. In addition to increasing access to healthcare, telemedicine is a fruitful and proactive way to provide a variety of benefits to patients seeking healthcare; diagnose and monitor critical and chronic health conditions; improve healthcare quality and reduce costs. The article reveals scope of pharmacy professionals in telemedicine sector during epidemic outbreaks.  

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