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Turkish Journal of Medical Sciences 2023It was aimed to evaluate the positive effects of health behaviors (general hygiene, wearing face masks, physical distancing, and travel restrictions) acquired during the...
BACKGROUND/AIM
It was aimed to evaluate the positive effects of health behaviors (general hygiene, wearing face masks, physical distancing, and travel restrictions) acquired during the coronavirus disease 2019 (COVID-19) pandemic on the prevention of other infectious diseases in Ankara Province, Türkiye.
MATERIALS AND METHODS
This study was designed retrospectively. Among the notifiable group A infectious diseases, acute intestinal infections (AIIs) with International Classification of Diseases, Tenth Revision diagnosis codes A09 (diarrhea and gastroenteritis presumed to be of infectious origin), R11 (nausea and vomiting), and K52 (other noninfectious gastroenteritis and colitis), as well as influenza, tuberculosis, measles, varicella, malaria, and meningococcal meningitis were included in the scope of this study.The data of the selected infectious diseases in Ankara Province for the last 2 years before the pandemic (January 2018-December 2019) and for the 2-year period of the pandemic (January 2020-December 2021) were analyzed after checking the data. The number of cases were presented as frequencies, the 1-sample chi-squared test was used in the statistical analysis and the statistical significance level (α) was taken as 0.05.
RESULTS
The findings for each disease/disease group were discussed under separate headings. Comparing the prepandemic period (2018-2019) with the pandemic period (2020-2021), the decreases in the number of cases of selected infectious diseases, except influenza, were statistically significant.
CONCLUSION
Undoubtedly, the experience gained from the pandemic struggle will guide us in shaping our future lives. From this point forward, we should be aware that living in crowded environments and as a highly mobile population, that unhygienic habits are unfavorable for the spread of all infectious diseases, and we should take care to continuously apply the precautions for healthy living in our new lifestyle.
Topics: Humans; COVID-19; Retrospective Studies; Health Behavior; Turkey; Communicable Diseases; SARS-CoV-2; Hygiene; Masks; Physical Distancing; Pandemics; Communicable Disease Control; Travel
PubMed: 38813503
DOI: 10.55730/1300-0144.5745 -
Infection Prevention in Practice Jun 2024A direct observational pilot project of healthcare personnel (HCP) was conducted to validate a tool that measures personal protective equipment (PPE) adherence at a...
A direct observational pilot project of healthcare personnel (HCP) was conducted to validate a tool that measures personal protective equipment (PPE) adherence at a large pediatric institution. Overall unit PPE adherence for all moments ranged from 50-61%. Masking was the most adhered to PPE moment (100%); hand hygiene prior to donning PPE had the lowest adherence (13%). Using data from this standardized tool, researchers can evolve PPE standards to maximize their adherence, effectiveness, and ease of utilization.
PubMed: 38812717
DOI: 10.1016/j.infpip.2024.100369 -
PloS One 2024Autistic people are more likely to experience stigma, communication barriers and anxiety during healthcare. Autism Health Passports (AHPs) are a communication tool that...
BACKGROUND
Autistic people are more likely to experience stigma, communication barriers and anxiety during healthcare. Autism Health Passports (AHPs) are a communication tool that aim to provide information about healthcare needs in a standardised way. They are recommended in research and policy to improve healthcare quality.
AIM
To explore views and experiences of AHPs among Autistic people from the UK who have been pregnant.
METHODS
We developed an online survey using a combination of open and closed questions focused on healthcare impairments and views and experiences of AHPs. Data were anlaysed using descriptive statistics, Kruskal-Wallis tests, and content analysis.
FINDINGS
Of 193 Autistic respondents (54% diagnosed, 22% undergoing diagnosis and 24% self-identifying), over 80% reported anxiety and masking during healthcare always or most of the time. Some significant differences were identified in healthcare (in)accessibility by diagnostic status. Only 4% of participants knew a lot about AHPs, with 1.5% of participants using one at least half of the time. Almost three quarters of respondents had not previously seen an AHP. Open text responses indicated that the biggest barrier to using an AHP was a belief that health professionals would discriminate against Autistic patients. Additional barriers included staff lack of familiarity with AHPs and respondents expecting a negative response to producing an AHP.
CONCLUSIONS
Our findings suggest that AHPs are not reducing health inequalities for Autistic adults who have been pregnant. Alternative solutions are needed to reduce health inequalities for Autistic people.
Topics: Humans; Female; Autistic Disorder; Adult; Health Services Accessibility; United Kingdom; Cross-Sectional Studies; Male; Pregnancy; Surveys and Questionnaires; Young Adult; Middle Aged; Anxiety; Communication Barriers; Social Stigma; Adolescent
PubMed: 38809913
DOI: 10.1371/journal.pone.0303873 -
Epidemiologia (Basel, Switzerland) May 2024From the year 1 anno Domini until 1855, with the third plague, major pandemics occurred on average every 348 years. Since then, they have occurred on average every 33...
From the year 1 anno Domini until 1855, with the third plague, major pandemics occurred on average every 348 years. Since then, they have occurred on average every 33 years, with coronavirus disease 2019 (COVID-19) now underway. Even though current technologies have greatly improved the way of life of human beings, COVID-19, with more than 700,000,000 cases and 6,950,000 deaths worldwide by the end of 2023, reminds us that much remains to be done. This report looks back at 18 months of COVID-19, from March 2020 to August 2021, with the aim of highlighting potential solutions that could help mitigate the impact of future pandemics. COVID-19 data, including case and death reports, were extracted daily from the Worldometer platform to build a database for the macroscopic analysis of the spread of the virus around the world. Demographic data were integrated into the COVID-19 database for a better understanding of the spatial spread of the SARS-CoV-2 virus in cities/municipalities. Without loss of generality, only data from the top 30 (out of 200 and above) countries ranked by total number of COVID-19 cases were analyzed. Statistics (regression, -test ( < 0.05), correlation, mean ± std, etc.) were carried out with Excel software (Microsoft Excel 2013 (15.0.5579.1001)). Spectral analysis, using Matlab software (license number: 227725), was also used to try to better understand the temporal spread of COVID-19. This study showed that COVID-19 mainly affects G20 countries and that cities/municipalities with high population density are a powerful activator of the spread of the virus. In addition, spectral analysis highlighted that the very first months of the spread of COVID-19 were the most notable, with a strong expansion of the SARS-CoV-2 virus. On the other hand, the following six months showed a certain level of stability, mainly due to multiple preventive measures such as confinement, the closure of non-essential services, the wearing of masks, distancing of 2 m, etc. Given that densely populated cities and municipal areas have largely favored the spread of the SARS-CoV-2 virus, it is believed that such a demographic context is becoming a societal problem that developed countries must address in a manner that is adequate and urgent. COVID-19 has made us understand that it is time to act both preventatively and curatively. With phenomenological evidence suggesting that the next pandemic could occur in less than 50 years, it may be time to launch new societal projects aimed at relieving congestion in densely populated regions.
PubMed: 38804342
DOI: 10.3390/epidemiologia5020015 -
Briefings in Bioinformatics May 2024Self-supervised learning plays an important role in molecular representation learning because labeled molecular data are usually limited in many tasks, such as chemical...
Self-supervised learning plays an important role in molecular representation learning because labeled molecular data are usually limited in many tasks, such as chemical property prediction and virtual screening. However, most existing molecular pre-training methods focus on one modality of molecular data, and the complementary information of two important modalities, SMILES and graph, is not fully explored. In this study, we propose an effective multi-modality self-supervised learning framework for molecular SMILES and graph. Specifically, SMILES data and graph data are first tokenized so that they can be processed by a unified Transformer-based backbone network, which is trained by a masked reconstruction strategy. In addition, we introduce a specialized non-overlapping masking strategy to encourage fine-grained interaction between these two modalities. Experimental results show that our framework achieves state-of-the-art performance in a series of molecular property prediction tasks, and a detailed ablation study demonstrates efficacy of the multi-modality framework and the masking strategy.
Topics: Supervised Machine Learning; Algorithms; Computational Biology
PubMed: 38801702
DOI: 10.1093/bib/bbae256 -
F1000Research 2023The Coronavirus disease-19 (COVID-19) infection of severe acute respiratory syndrome coronavirus-2 (SARS-Cov-2) has emerged as a recent pandemic, increasing the need for...
BACKGROUND
The Coronavirus disease-19 (COVID-19) infection of severe acute respiratory syndrome coronavirus-2 (SARS-Cov-2) has emerged as a recent pandemic, increasing the need for epidemiological studies and studies on public health. Only some studies have evaluated the awareness of medical undergraduates in India and other countries, leading to a lack of literature.
METHODS
This study is a descriptive cross-sectional questionnaire-based study conducted in Kasturba Medical College, Mangalore, India, between June to August 2020. An online survey using Google Forms was circulated among undergraduate medical students in India by a convenient sampling method for data collection. Descriptive analysis was derived based on frequencies and percentages, and the association with age, gender, and year of undergraduate training medical course was derived using the chi-square test.
RESULTS
Altogether, 630 students from India responded to the survey, with a maximum response from students studying in the second year (38.7%). Nearly 63.85% of responders identified themselves as females. Knowledge regarding the human-to-human transmission of the virus, symptoms, complications, definition of "close contact, quarantine, and its indications was adequate among the students, with more than 70% correct responses. However, one-fourth of the students needed to gain more knowledge about masks. Respiratory hygiene was poor among 24.8%. Nearly 40% of students were unaware of the management of patients with COVID-19.
CONCLUSION
There is a need for regular quality training and institutional programs on infection control of COVID-19 and other infectious diseases across all Indian medical colleges to educate undergraduate medical students, who are future healthcare professionals, thus minimizing the risk of transmission and providing standardized care for patients.
Topics: Humans; COVID-19; India; Female; Male; Students, Medical; Health Knowledge, Attitudes, Practice; Surveys and Questionnaires; Cross-Sectional Studies; Young Adult; Adult; SARS-CoV-2; Education, Medical, Undergraduate
PubMed: 38799246
DOI: 10.12688/f1000research.131073.2 -
The Pan African Medical Journal 2024coronavirus disease, (COVID-19), was a pandemic with high global morbidity and mortality, partly due to a lack of preparedness. People´s knowledge, belief, attitude,...
INTRODUCTION
coronavirus disease, (COVID-19), was a pandemic with high global morbidity and mortality, partly due to a lack of preparedness. People´s knowledge, belief, attitude, and perception of disease outbreaks may affect their response, and this may impact their health-related behavior. This study was designed to determine the pattern of belief, knowledge, attitude, and practices (BKAP) of residents of Abuja, Nigeria, towards the COVID-19 pandemic. The outcome of the study may help to make informed decisions on future pandemic preparedness.
METHODS
a cross-sectional study with data collected online about the local perceptions and common concerns, beliefs, misconceptions, attitudes, and conspiracy theories amongst residents of the FCT. A self-reported validated e-questionnaire prepared on Google Forms was used. The obtained data was downloaded on Excel sheet and then exported to SPSS for analysis.
RESULTS
there were one thousand eight hundred and seventy-three (1,873) respondents, 1017 (54.3%) females and 856 (45.7%) males. Participants were majorly knowledgeable, the majority (31.2%) were in the 41-50 years age group. Surprisingly, about 17% did not know that wearing a face mask could prevent COVID-19. About 25% still met in crowded places, and slightly more than 33% did not wear outdoor masks. The highest knowledge of COVID-19 was found among people in the age range 41-50 years, females, University graduates, married people, and healthcare personnel, particularly doctors.
CONCLUSION
our study concludes that the overall population of Abuja had good knowledge and, a positive attitude, with pockets of poor attitudes and bad practices born out of misconceptions and infodemics.
Topics: Humans; Nigeria; COVID-19; Female; Male; Cross-Sectional Studies; Health Knowledge, Attitudes, Practice; Adult; Middle Aged; Surveys and Questionnaires; Young Adult; Adolescent; Masks; Aged; Pandemics; Pandemic Preparedness
PubMed: 38799188
DOI: 10.11604/pamj.2024.47.98.34331 -
Journal of Patient Experience 2024Many individuals with type 1 diabetes (T1D) do not achieve their management goals. The patient perspective on unmet needs in T1D may guide the role of adjunctive...
Many individuals with type 1 diabetes (T1D) do not achieve their management goals. The patient perspective on unmet needs in T1D may guide the role of adjunctive therapies, including glucagon like peptide-1 receptor agonists (GLP-1RAs). A quantitative online survey (n = 133) assessed (1) self-reported demographic and management data, (2) management priorities, satisfaction, and willingness to use adjunctive therapies and (3) conducted a risk-benefit analysis using three masked drug profiles (1.8 mg vs 0.6 mg liraglutide vs placebo). A subgroup of respondents (n = 20) participated in semi-structured interviews to extend upon survey insights. Needs were unmet by current treatment in 28% of surveyed individuals. The greatest unmet needs included (1) glycemia, (2) management-related fatigue, and (3) weight management. Most respondents (94%) indicated that they would use adjunctive therapies. The preferred administration route was daily tablets (66%) followed by weekly injections (32%). Metabolic improvements were most valued (reduction in hypoglycemia, hyperglycemia). Most respondents (94%) preferred the liraglutide risk-benefit profile (1.8 mg, then 0.6 mg) over placebo. Individuals with T1D self-report many unmet needs. While not currently approved in T1D, GLP-1RA properties align with many management priorities reported by individuals with T1D.
PubMed: 38799027
DOI: 10.1177/23743735241257811 -
Vaccines May 2024This paper simulates a hypothetical pan-coronavirus vaccine that confers immediate sterilizing immunity against all SARS-CoV-2 variants. Simulations used a SEIIS...
This paper simulates a hypothetical pan-coronavirus vaccine that confers immediate sterilizing immunity against all SARS-CoV-2 variants. Simulations used a SEIIS (susceptible, exposed, infective, immune, susceptible) spreadsheet model that ran two parallel subpopulations: one that accepted vaccination and another that refused it. The two subpopulations could transmit infections to one another. Using data from the United States (US), the simulated vaccine was tested against limiting factors such as vaccine hesitancy, slow vaccination distribution, and the development of high-transmission variants. The vaccine was often successful at reducing cases, but high-transmission variants and discontinuation of non-pharmaceutical interventions (NPIs) such as masking greatly elevated cases. A puzzling outcome was that if NPIs were discontinued and high-transmission variants became common, the model predicted consistently higher rates of disease than are actually observed in the US in 2024. However, if cumulative exposure to virus antigens increased the duration of immunity or decreased the infectivity of the virus, the model predictions were brought back into a more realistic range. The major finding was that even when a COVID-19 vaccine always produces sterilizing immunity against every SARS-CoV-2 variant, its ability to control the epidemic can be compromised by multiple common conditions.
PubMed: 38793783
DOI: 10.3390/vaccines12050532 -
Medicina (Kaunas, Lithuania) May 2024: Before COVID-19 vaccinations became available, adhering to non-pharmaceutical interventions (NPIs), like social distancing (SD), wearing masks, and hand hygiene, were...
: Before COVID-19 vaccinations became available, adhering to non-pharmaceutical interventions (NPIs), like social distancing (SD), wearing masks, and hand hygiene, were crucial to mitigating viral spread. Many studies reported that younger individuals were more reluctant to follow these measures compared with older ones. We hypothesized that it would be worthwhile to find factors that influenced SD compliance among young people during the pre-vaccination phase of a pandemic. : We analyzed data of adults aged 19-44 from the 2020 South Korean Community Health Survey and compared socio-demographic, health-related behavioral, and psychological factors between compliant and non-compliant cohorts. : A total of 59,943 participants were enrolled and we found that older age groups (30-39 and 40-44) and safety concerns (such as viral infection, virus-related death, economic damage, and transmitting virus to vulnerable people) were significantly associated with adherence to SD. Conversely, participants who were not living with a spouse, were unable to stay at home despite symptoms, smoked, drank, and had a negative attitude toward government policy statistically correlated with non-compliance. : In times when NPIs were the primary defense against the pandemic, it is essential to identify factors that positively or negatively affect individual compliance with them, especially among young people. Using a large-scale, well-designed national survey, we could gain insights into the early recognition of risk factors for non-compliance and appropriate follow-up interventions (i.e., education campaigns, clear communication of public guidelines, and implementation of guidelines), which will help people to avoid suffering from other waves of future infectious diseases.
Topics: Humans; COVID-19; Male; Adult; Republic of Korea; Female; Physical Distancing; Pandemics; Young Adult; SARS-CoV-2; Surveys and Questionnaires; Patient Compliance
PubMed: 38793010
DOI: 10.3390/medicina60050827