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Public Health - PubMed

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Last Updated: 07 May 2022

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The secondary outcome of public health measures amidst the COVID-19 pandemic in the spread of other respiratory infectious diseases in Thailand.

To prevent the spread of the viral disease, the coronavirus disease has been promoting stringent public health initiatives such as hand washing, face mask wearing, and physical distancing. The secondary findings of those public health programs containing other respiratory infections in the Thai population were investigated in this retrospective review. Using the seasonal autoregressive integrated moving average model, the predicted respiratory infectious cases where no public health surveillance devices are in place are estimated are estimated. The expected number of cases and the observed cases were compared in the expected number of cases as well as the observed instances. The results showed a dramatic decrease in the prevalence of respiratory infectious diseases by an average of 61%. Following the relaxation of pandemic countermeasures' increase and nature, this decrease in cases has been largely dependent on the severity and type of the outbreak, but it is evidence that selective physical punishment, hand washing, and the use of face masks in public places is a viable option for reducing respiratory morbidities.

Source link: https://doi.org/10.1016/j.tmaid.2022.102348


Application of digital PCR for public health-related water quality monitoring.

Microorganisms in the field of health-related water microbiology are rapidly quantified by digital polymerase chain reaction, which is becoming a popular tool for measuring microorganisms. dPCR is rapidly used in detecting fecal indicator bacteria, microbial source tracking marker genes, and pathogens in a variety of aquatic environments, according to the relevant literature. Well-optimized dPCR assays can quantify genetic fragments of microorganisms without the need for a calibration curve or often with superior analytical results than quantitative polymerase chain reaction, according to the collective experience in the scientific literature. The sample analysis cost and processing time are usually higher than qPCR in dPCR systems, and sample processing time are often greater than qPCR.

Source link: https://doi.org/10.1016/j.scitotenv.2022.155663


The effect of medical staff's professional identity on psychological stress during public health emergencies: The role of intolerance of uncertainty and adversity appraisal.

This paper aims to explore the relationship between medical staff's professional identity and the emotional strain they experience during a public health crisis. The immediate effect was significant in medical staff who implemented a less positive appraisal policy; medical staff's sense of their professional identity can negatively predict the mental strain they feel during public health crises; staff's IU mediates the connection between professional identity and psychological strain; and the connection between professional identity and psychological stress; and finally, the direct effects of professional identity and psychological distress were mitigated by staff's adoption of positive appraisal techniques; and, in medical workers who adopted a less optimistic appraisal approach.

Source link: https://doi.org/10.1016/j.actpsy.2022.103605


Measuring vaccine effectiveness from limited public health datasets: Framework and estimates from India's second COVID wave.

Despite urgent need, authorities in several countries are struggling to monitor COVID vaccine effectiveness, because standard VE measures cannot be determined from their public health data. Here, we use regression discontinuity model to determine VE, owing to such voids in public health data from West Bengal, India. When better results are available, we encourage age-based vaccine coverage; we also include a new RDD-based VE indicator that enhances on the existing one.

Source link: https://doi.org/10.1126/sciadv.abn4274


Treating Workers as Essential Too: An Ethical Framework for Public Health Interventions to Prevent and Control COVID-19 Infections among Meat-processing Facility Workers and Their Communities in the United States.

Meat is a multi-billion-dollar industry that depends on people who perform unsafe physical work inside meat-processing plants over long shifts in close proximity. SARS-CoV-2, the virus that causes COVID-19, is spread by a combination of working conditions and employee characteristics. This paper, which focuses on the United States context, provides an ethical framework for infection prevention and control recommendations grounded in public health concepts of health and safety, interdependence and cooperation, and health equity and justice, with a strong emphasis on reciprocity, equitable burden sharing, harm reduction, and health promotion. Workers in Meat processing are subjected to a program that shields their bodies' wellbeing relative to the dangers that threaten their lives, their families, and their families' communities. Sacrifices from companies profiting from essential industry status are ethically justified, and employees should be aware of the risks faced by employees in the context of existing structural injustices.

Source link: https://doi.org/10.1007/s11673-022-10170-2


Elimination of cervical cancer as a public health problem-how shorter brachytherapy could make a difference during COVID-19.

The World Health Organisation has called for the removal of cervical cancer as a public health issue and has devised plans in this regard. The coronavirus pandemic has had a major effect on healthcare in several low and middle-income countries with the highest incidence of cervical cancer; funds and infrastructure are being redistributed to deal with the crisis; and cancer care has been critically affected. There has been a lot of discussion over the use of the 9 Gy 2 fractions high dose rate brachytherapy regimen for the treatment of locally advanced cervical carcinoma. However, radiation clinics in LMICs with the world's highest prevalence of locally diagnosed cervical cancer cases have been using this fractionation scheme in several cases to cope with the overwhelming number of patients who would have otherwise been refused timely care.

Source link: https://doi.org/10.3332/ecancer.2022.1352


Creating an Integrated Undergraduate Public Health Curricula: Inspiring the Next Generation to Solve Complex Public Health Issues.

We'll show you how public health faculty take a team approach to teaching, which has encouraged them to collaborate in and out of the classroom, resulting in enhanced knowledge of course content, student involvement, and outcomes. This article explores lessons learned when teaching undergraduate students across public health curricula, how we integrated research skills into each course, and why this approach supports student engagement in directed study and paid undergraduate research opportunities.

Source link: https://doi.org/10.3389/fpubh.2022.864891


Predicting in vitro fertilization success in the Brazilian public health system: a machine learning approach.

The aim of this research was to use ML models to determine pregnancy variables related to IVF in a public health facility, as well as pre-implantation variables. This analysis included 771 women who underwent IVF treatment at Hospital das Clás, Federal University of Minas Gerais, between 2013 and 2019. The Random Forest algorithm had the highest results, with greater precision, sensitivity, and a wide area under the ROC curve to help predict the success of IVF measured by pregnancy frequency. After in vitro fertilization, there were variations in the Random Forest model related to pregnancy.

Source link: https://doi.org/10.1007/s11517-022-02569-1


Educating the masses to address a global public health priority: The Preventing Dementia Massive Open Online Course (MOOC).

Dementia is a worldwide public health concern, and risk reduction is a key pillar of the public health response. This mixed-methods report investigated the ubiquity and cultural availability of the free and internationally distributed PDMOOC to determine if it would be able to provide timely dementia risk reduction training to a large international audience. Participants expressed high levels of satisfaction with the PDMOOC, increased dementia risk reduction and self-confidence, increased encouragement to exercise healthier lifestyles, and, perhaps, the application of their learning to health behaviors with the ability to reduce dementia risk. The PDMOOC eduted a global audience on dementia risk reduction, which led to participants' making risk-reducing behavior changes. This means that MOOCs can be a fruitful public health initiative to increase dementia risk reduction knowledge.

Source link: https://doi.org/10.1371/journal.pone.0267205


The use of Latinx in public health research when referencing Hispanic or Latino populations.

Populations in the United States vary by ethnic grouping; lay out the genesis of the term Hispanic or Latino in general; point out the use of Latinx among the Hispanic or Latino population; and suggest recommendations for the use of Latinx in research including Hispanic or Latino populations. Since the inception of the ethnicity category in the 1980 U. S. Census in the 1980s, the Hispanic or Latino people has been involved in name and/or labeling scandals.

Source link: https://doi.org/10.1016/j.socscimed.2022.114977

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions