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Mar 2022 DOI 10.14302/issn.2641-4538.jphi-22-4113
Objectives Our study aims to determine the trend of the antibody titer and assess the efficacy of the vaccine. Methods It was conducted on 983 healthcare professionals between 27 February 2020 and 22 October 2021 at the Local Health Authority (ASL) of Rieti. Workers voluntarily underwent serological testing before vaccination (T1), at least 15 days after vaccination (T2), and at least 150 days after vaccination (T3). We picked individuals who had received two doses of the vaccine. As for positivity, we assessed incidence – and therefore symptomatology – in three time intervals. We used a contingency tables for the analysis and tested the relation to the chi-square test and ANOVA test. Regarding differentials in terms of antibody capacity, we considered different time intervals: the methodological approach was the same. Results The average value of the dimeric serological testing at T1 was equal to 28.80 AU/mL, which increased to 220.55 AU/mL at T2, and then decreased to 143.62 AU/mL at T3 (P = 0.000). At T2, the number of people with a protective titer was equal to 95.96% of the total; at T3, it was equal to 96.39% (P = 0.019). Before the vaccination campaign, 75 workers tested positive (25 paucisymptoms, 4 severe symptoms). After vaccination, 14 workers tested positive: almost all were asymptomatic. Conclusion Vaccination determines a statistically significant variation of the average value of antibody titer, a statistically significant reduction of positive swab tests and a better prognosis.
Jun 2023 DOI 10.14302/issn.2692-1537.ijcv-23-4586
The goal is to do a text mining analysis of all scientific publications and find out what journal and what aspects are studying about the conspiracy theories of Covid-19. For this purpose, all publications available in the National Center for Biotechnology Information (NCBI) database were consulted as they were peer-reviewed papers. Of all these papers, only the abstracts of each one were studied using artificial intelligence techniques to determine, for example, whether the subject is of importance depending on the journals where it has been published, and above all, what possible relationships could be extracted from the information published in them. In addition, the "Net Prevalence per Covid19" index was definedin those countries with a high value, greater campaigns should be sponsored to avoid the misinformation generated by Covid-19, although this comment should be verified in future publications. The main challenge was to unify the abstracts and for this purpose, a text summarizer was used under artificial intelligence schemes. The results obtained indicate the tendency of certain topics by the frequency of the words obtained where the focus on the conspiration are the Covid-19 vaccines, but further work is still needed to continue working on this methodology to unify the results.
May 2022 DOI 10.14302/issn.2692-1537.ijcv-22-4174
Introduction: Covid 19 pandemic affected all aspect of life, particularly schools attending. Students replaced their presentational lessons by on line distance learn. Ministry of health decisions varied between complete electronic study and attendance several days per week depending on the number of cases of the whole population. In Iraq, total cases till 15 of September, 2021, reached 1.963,264 and total death 21,631. Highest percent of confirmed cases in age group (30-39) years; 24.7%, while in children aged (0-9) years only 1.6%, and in older age group (10-19) years; 7.5%. Cases of covid19 at lower percent in small children and in school age children and tend to increase with age as it reached to 22.6% in age group (20-29). Objectives: Prevalence of covid 19 in students attending AL-dora medical center lab. Comparisons in number of cases of students before and after the school lock –down. Methods: It is a cross sectional study, included the records of schools health unit and lab records of VTM nasal or pharyngeal swab and rapid test in Al-Dora family health center from 1/10/2020 to 15/7/2021. Results: The study included 1711 students, the mean age group was 15.7 (± 4.9) years. The study showed the prevalence of covid19 in students attained the lab was 23.4%, highest percent was in age group >18 years and the lowest percent was in age group 6-12 years. The percent of vaccinated students in academic year 2020/2021 was 0.3 %( 3/1000). There is no significance difference in age group 6-12 years and age group >18 years before closing schools and colleges and after closing while age group 13-18 years showed a significant increase in positive cases after closing schools as cases increase from 18.1% to 25.9% after closing schools. Positive cases showed no significance difference with sex before and after closing. Discussions: The educational path of students in different age groups had broken down. Fear of parents could be justified but it could be exaggerated. School closures were applied almost around the world trying to decrease the potential spread of disease despite early studies suggested this would have less impact than most other non-pharmacological interventions.
Dec 2021 DOI 10.14302/issn.2692-1537.ijcv-21-4025
Introduction The COVID-19 pandemic continues to affect a large swath of the global population. The Philippine records four hundred seventy-four thousand sixty-four (474, 064) confirmed COVID 19 cases since December 31 2020. The COVID 19 pandemic recently highlighted the role of systemic hyperferritenemia as a major cause of death. In this study, we were able to correlate the serum ferritin level and predict 30 day in hospital mortality in COVID 19 pneumonia. Objective The aim of the study is to investigate the correlation between serum ferritin level and disease mortality in COVID19 pneumonia with subset analysis on demographics and co-morbidities of patients with COVID 19 pneumonia. Methodology We reviewed the records of all laboratory confirmed COVID 19 patients from World Citi Medical Center from April 2020 up to April 2021.A statistically significant sample size of seventy nine (79) admitted patients were used in this study. A serum ferritin level was assayed using electrochemilumenescence immunoassay with a Roche COBAS analyzer. Results Result showed that high ferritin level is associated with in hospital mortality. With ferritin level of 1437.07ng/ml, poor clinical outcome and in hospital mortality was considered. We also observed that demographics and co morbidities of patients in this study were significant to predict in hospital mortality. Further sub-analysis of co morbidities such as Hypertensive cardiovascular disease, Type 2 Diabetes Mellitus, Chronic kidney disease, Liver disease, Chronic obstructive pulmonary disease and Cerebrovascular disease showed poor outcome which were directly related to ferritin levels with p value of <0.0001. Conclusion This study has demonstrated that elevated ferritin levels were shown to correlate with 30 day in hospital mortality as well as medical comorbidities such as Hypertensive Cardiovascular disease, Type 2 Diabetes Mellitus, and chronic kidney disease have shown significant evidence for in hospital mortality.
Jul 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3473
COVID19 is posing threat cosmopolitically encompassing more than 200 countries and making threat to entire population globally as pandemic. The cats, dogs and bovine are at threat which are close partner to human population. The veterinarians specially practicing are at risk when they encounter the sick animals. This study focus to the Pakistani veterinarian where animal population is under estimated or sometimes census is not performed. As Current population of domestic animals in Pakistan consist of 23.34 million buffaloes, 22.42 million cattle, 24.24 million sheep, 49.14 million goats, and with a huge population of dogs and cats without official census which may pose a threat to innocent population and even more a practicing veterinarian and veterinary paramedics are more at threat, if god forbids. There is need for further investigation its role and zoonotic perspective. Regarding practicing field veterinarians fighting without weapons against mass destructing pathogen and making vulnerability on wide.
Apr 2020 DOI 10.14302/issn.2691-8862.jvat-20-3306
Introduction The Corona virus (CoVID-19) pandemic has hit the most developed countries and has thence spread to inflict other countries around the world. It is the first pandemic that appears in countries not linked to poverty and poor hygiene. Aim To study the relationship between human development and the pattern of the pandemic caused by the CoVID-19 and to identify development indicators that can be useful in monitoring the pandemic. Methods Data collected included confirmed cases of CoVID-19 by country, number of cases that recovered and cases that died and population density per million in this particular country. The data for this information was obtained from the online data on the daily reports on CoVID-19 from the different countries. Data for the Human Development index (HDI) and the ranking for each country were obtained from the most recent United Nations Development of Populations (UNDP) report for 2019. We analyzed data for 166 countries for which the HDI was available for the date of cases reported online on 27th March, 2020 at midnight. Findings There were significant differences by ANOVA for the confirmed cases of CoVID19 cases and total cases per one million population between the countries in the 4 tier group of Human Development. HDI was significantly correlated with confirmed cases, case density and cases that died from CoVID-19 (P<0.01) for all countries but the significance decreased by tier group. Country ranking was inversely correlated with confirmed cases of CoVID-19 (r-0.25 at P=0.001), CoVID-19 cases per million (r-0.4 at P=0.000) and cases that died from CoVID-19 (r-0.2 at P=0.03). Recovery was not inked to HDI or country ranking. The upper HDI tier groups (very high, high and medium) showed significant correlations with total cases per one million population P<0.05, but no correlation was found with confirmed cases or cases that died or recovered from CoVID-19 P>0.05. Conclusions Total cases of CoVID-19 per one million population seems to be a better indicator of the pandemic. The pattern of spread is closely linked to industry.