World Health Systems Research Articles

Surgical Castration as an Alternative to Improve Systemic Treatment for Advanced Prostate Cancer: A Window of Opportunity for Developing Countries.

The Brazilian Public Health System (BPHS) serves approximately 71,730 patients with prostate cancer (PC) every year for which androgen deprivation therapy (ADT) is the primary treatment for patients with advanced hormone-sensitive prostate cancer (aHSPC). Androgen receptor pathway inhibitors (ARPIs) are not accessible through the BPHS. Using the BPHS as a model, this study assesses the long-term economic effect of surgical versus medical castration in aHSPC treatment to strategize cost reduction and the incorporation of ARPI in developing countries. Data of patients with aHSPC (ie, TxN1M0 ineligible for local treatment or TxNxM1) from the BPHS database were analyzed from January 1, 2011, to December 31, 2021, using the TECHTRIALS artificial intelligence platform. The main outcomes were quantitative and descriptive analyses as well as a cost analysis of surgical versus chemical castration. Of the 274,519 patients with aHSPC who received active treatment during the 11-year study period, 90% (n = 246,683) underwent chemical castration and 10% (n = 27,836) underwent bilateral subcapsular orchiectomy (BSO). The median duration of chemical castration was 28 months. The BPHS spent an estimated total of $665,552,091.40 US dollars (USD) on chemical castration and $5,939,348.47 USD on BSO, respectively. The cost per patient was $2,698 USD and $213.37 USD for chemical castration and BSO, respectively. Hypothetically, if all patients with aHSPC had undergone BSO, the total direct cost for the BPHS would have been $42,774,832.20 USD, saving $622,777,259.20 USD over 11 years, making it possible to offer low-dose abiraterone to 65% of aHSPC patients. On the basis of this extensive financial analysis from the world's largest public health system database, BSO appears to be a valuable alternative to chemical castration for treating aHSPC. In resource-limited environments, the cost savings from using BSO may allow access to drugs that will improve survival such as ARPIs.

Prospective assessment of AI-enabled cost savings, continuous support, and psychosocial enhancement (AI New Era Study).

e13615 Background: Cancer patients (pts) need extensive primary care across their treatment journey, yet the world's primary health systems struggle with patient volume and resource scarcity. This study aims to assess the effectiveness of Artificial Intelligence (AI) medical service model in primary care and clinical service pre-screening, as well as their potential impact on improving the quality of medical services and reducing medical costs. Methods: A total of 17,856 medical consultation inquiries from 7,522 pts with various types of cancer have been collected and categorized. The study employed a novel AI-driven medical service model (based on large language model), amalgamating clinical guidelines with a local oncology database, to prospectively field questions from 454 cancer-afflicted pts. Clinicians evaluated the accuracy and comprehensiveness of the responses to basic medical issues, while pts assessed the intelligibility and satisfaction. Results: Treatment-related inquiries constituted 34.44% (n = 6,149) of the total, with 81.53% of pts asking such questions. Basic medical issues were addressed in 65.56% (n = 11,707) of inquiries, raised by 59.78% of pts. Specific concerns within basic medical issues included test report explanations (20.45%), adverse reaction consultations (19.82%), and medication information requests (17.66%). In light of the prevalence of basic medical issues, the study prospectively explores the potential of AI technology to revolutionize medical models, driving the advent of a new era in healthcare research. As result, the AI model exhibited high performance across several metrics: accuracy (96.87 ± 10.29), comprehensiveness (97.40 ± 9.91), intelligibility (95.72 ± 12.62), and satisfaction (96.34 ± 11.03). Notably, the model demonstrated a proficiency in identifying queries necessitating physician expertise, with a 95.60% accuracy rate upon review. A survey of 50 outpatients indicated an enhancement in service speed (7.78%) and patient satisfaction (14.29%). This increase in satisfaction was primarily ascribed to pts' heightened sense of control and safety. When benchmarked against GPT-4, the AI model's overall performance was significantly superior (95.08 ± 10.05 vs 89.70 ± 12.85, p<0.01), particularly in domestic drug knowledge and gene report analysis. Conclusions: Largely fueled by the advanced capabilities of large language model, AI has the potential to profoundly reshape the entire patient care journey. Our AI medical service model efficiently meets key healthcare needs, addressing over half of clinical issues and cutting costs. It also guides pts to the right specialists for timely care. Early surveys indicate better primary care and improved doctor-patient relations. Further research is needed to understand AI's effects on fairness, access, and outcomes across varied demographic and socioeconomic strata.

Perceptions of risk and coping strategies during the COVID-19 pandemic among women and older adults.

The world's health, economic, and social systems have been adversely impacted by the COVID-19 pandemic. With lockdown measures being a common response strategy in most countries, many individuals were faced with financial and mental health challenges. The current study explored the effect of the COVID-19 pandemic on the psychological well-being, perception of risk factors and coping strategies of two vulnerable groups in Malaysia, namely women and older adults from low-income households (USD592). A purposive sample of 30 women and 30 older adults was interviewed via telephone during Malaysia's Movement Control Order (MCO) regarding the challenges they faced throughout the pandemic. Thematic analysis was subsequently conducted to identify key themes. The themes identified from the thematic analysis indicated a degree of overlap between both groups. For women, seven themes emerged: 1) Psychological challenges due to COVID-19 pandemic, 2) Family violence, 3) Finance and employment related stress and anxiety, 4) Women's inequality and prejudice, 5) Coping strategies, 6) Professional support, and 7) Women's empowerment. Similarly, there were six themes for the older adults: 1) Adverse emotional experiences from COVID-19, 2) Threats to health security, 3) Loss of social connections, 4) Government aid to improve older adults' psychological well-being, 5) Psychological support from family members and pets, and 6) Self-reliance, religion, and spirituality. The findings provide valuable information on the specific burdens faced by these groups, and support psychological interventions and mitigations that would be appropriate to improve well-being during the recovery phase.

Post-COVID refractory gastroparesis: a case report

Introduction: COVID-19 is a disease caused by the SARS-CoV-2 virus, which triggered a pandemic with major repercussions for the world's health systems. About half of patients experience gastrointestinal symptoms, but gastroparesis after SARS-CoV-2 infection is a rare and generally self-limiting condition. Objective: To describe a clinical case of gastroparesis after SARS-CoV-2 infection that required surgical intervention. Result: This is a rare condition, with few reports, generally self-limiting. There are no reports of other refractory conditions requiring surgical intervention. Conclusion: The COVID-19 pandemic resulted in a large number of patients infected with SARS-CoV-2. Because the virus has gastrointestinal tropism, doctors must be aware of possible clinical manifestations in these patients.

FORECASTING OF COVID–19 WITH AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) METHOD IN EAST JAVA PROVINCE

Background: The COVID-19 pandemic has had a major impact on the world's health system, including Indonesia. The national health system is facing challenges with increasing cases of COVID-19. With the forecasting of COVID-19 cases, it is hoped that it can be one of the references in dealing with COVID-19 and one form of mitigation in dealing with COVID-19. Purpose: This research aims to predict COVID-19 cases in East Java Province for the coming year using the Autoregressive Integrated Moving Average (ARIMA) method based on patient data from March 2020 to January 2022. Methods: This type of research is analytic. Forecasting future COVID-19 cases using the Autoregressive Integrated Moving Average (ARIMA) method based on COVID-19 data from March 2020 to January 2022. Results: Based on the results of ARIMA analysis, the best forecasting model for confirmed cases of COVID-19 is the model (1:0:1) with AIC values ​​(14.22672), SIC (14.33357), while for cured cases is the model (1:2: 3) with the value of AIC (13.93054), SIC (13.03738), and for the case of death is the model (1:2:1) with the value of AIC (10.76105) and SIC (10.86790). Conclusion: From the results of this study, it is predicted that there will be an increase in COVID-19 cases in July 2022, January 2023 and June 2023.

Epidemiology of hospitalized patients with COVID-19 in a tertiary care hospital.

COVID-19, caused by the betacoronavirus SARS-CoV-2, has overwhelmed the world's health systems. To describe the epidemiological characteristics of patients treated in a tertiary care hospital. A retrospective cohort study of patients diagnosed with or suspected of having COVID-19 from March 23 to July 31, 2020 was conducted. 4,401 patients were hospitalized at Central Military Hospital, out of which 35 % were beneficiaries, 26 % civilians, 28 % active military personnel, and only 11 %, retired military personnel. Male gender predominated, both in hospitalized patients and in those who died, as well as the O+ group and absence of comorbidities; among the observed comorbidities, the main ones were overweight and diabetes. Hospitalized patients' median age was 49 years, while median age of those who died was 62 years; women older than 51 years had a higher risk of dying. Adjusted case fatality rate was 18.5 %; 50 % died within the first six days. In this study, the epidemiological characteristics and main comorbidities in Mexican patients with SARS-CoV-2 infection were identified.

Potential Factors related to COVID-19 Vaccine Hesitancy in Indonesia: A Literature Review

Introduction: The pandemic of COVID-19 has become a burden to the world's health system, in which strategic measures are needed, especially vaccination. However, numbers of challenge have been reported regarding the so-called most effective public health intervention, such as vaccine hesitancy. On top of that, WHO has acknowledged vaccine hesitancy in the top list of 10 most dangerous threats to global health. The spectrum related to the reluctance to receive vaccination in society has also occurred in previous infectious diseases management and during the COVID-19 pandemic. This review aimed to identify factors and mechanism related to COVID-19 vaccine hesitancy in Indonesia. Method: This study provided a review of 14 literatures from 2019 to 2021 using ProQuest and Google Scholar discovered through the selected keywords. The SAGE WG model for vaccine hesitancy framework was used as the main reference in identifying and explaining the associated factors of phenomenon. Results: Based on the analysis of framework, determinants related to confidence crucial in affecting the acceptance level of COVID-19 vaccine in the community. In regard to that aspect, various factors within the scope of individual and social influences, vaccine and vaccination-specific issues, as well as contextual influences may well-explained the plausible mechanism that build hesitancy over vaccination. Accordingly, this study found that mistrust and skepticism related to the effectiveness of vaccine, safety concerns, and adverse reactions discouraged people from getting vaccinated. Furthermore, religious matters such as unavailable halal certification, along with poor socioeconomical factors, and misinformation that were spread through the media also prevent people to receive COVID-19 vaccine and risk the development of herd-immunity toward COVID-19 in the community. Conclusions: Various factors were identified regarding the development of vaccine hesitancy in Indonesia. Understanding the plausible factors and mechanism that prevented people to get COVID-19 vaccine are substantial to strategically address the phenomenon and successfully manage the COVID-19 pandemic in Indonesia. Keywords: COVID-19 – Indonesia - vaccine hesitancy – asia – outbreak - prevention

Introducing Community Houses in Italy: a scoping review of the international literature

Abstract Background The SARS-CoV-2 pandemic put under pressure all the world's health systems, to the point that it was a severe threat to their stability. At the same time, this scenario confirmed the importance of primary health care to guarantee effective care for patients who suffer from complex and chronic diseases. From these considerations and in the light of the funding provided by the European Union for enhancing the health care system in Italy, our working group has decided to analyse various organisational models of Primary Health Care founded around the world to set up innovative Primary care community Centers in Italy, called Community Houses. Methods A scoping review of the international literature was conducted on Pubmed, searching for primary care models based on integration and co-location of services. Each organisational model was then evaluated using different levels of multidimensional integration inspired by the taxonomy work of P. P. Valentijn, such as clinical, professional, organisational, system, functional and normative integration levels. Results The search produced 2053 results, initially screened by title and abstract and, subsequently, by full-text, finally obtaining 116 articles. When a model is characterised by integrating services with external stakeholders, it also presents more integration levels than the others. In particular, these models are, on average, about 20% more likely to have an organisational, functional and normative integration in the model. Moreover, by stratifying for population complexity, we can find an increase in integration levels for populations suffering from chronic diseases with a higher degree of complexity, such as diabetes or cancer. Conclusions From these preliminary results, we can conclude that it is necessary to prefer primary care models with more integration levels to deliver better healthcare for people with complex or chronic diseases, improving the performance of the Health Care System, especially in Italy. Key messages

Potential effects of icariin, the Epimedium-derived bioactive compound in the treatment of COVID-19: a hypothesis.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has affected the world’s health systems for more than two years. This disease causes a high mortality rate followed by cytokine storm–induced oxidative stress and acute respiratory distress syndrome (ARDS). Therefore, many drugs have been considered with emphasis on their anti-inflammatory and antioxidant effects in controlling the consequences of SARS-CoV-2 infection. Icariin is a major bioactive pharmaceutical compound derived from Epimedium plants, which is known due to its anti-inflammatory and antioxidant effects. Additionally, the protective effects of icariin have been studied in different pathologies through modulating intracellular pathways. In addition to the potential effect of this compound on inflammation and oxidative stress caused by SARS-CoV-2 infection, it appears to interfere with intracellular pathways involved in viral entry into the cell. Therefore, this paper aims to review the molecular mechanisms of anti-inflammatory and antioxidant properties of icariin, and hypothesizes its potential to inhibit SARS-CoV-2 entry into host cells through modulating the intracellular pathways.

Advancing accurate metrics for future pandemic preparedness

As we enter the 28th month of the ongoing devastating COVID-19 pandemic, the reality remains that WHO and the world's public health systems were unprepared, with COVID-19 causing more than 494 million cases and more than 6 million deaths worldwide as of April 5, 2022. A phenomenal amount of data has been generated in various formats across continents, which, if analysed methodically, could inform future pandemic preparedness, improve management, and enhance public health interventions and operational capacities.

Visualization of the infection risk assessment of SARS-CoV-2 through aerosol and surface transmission in a negative-pressure ward.

Since December 2019, coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a great challenge to the world's public health system. Nosocomial infections have occurred frequently in medical institutions worldwide during this pandemic. Thus, there is an urgent need to construct an effective surveillance and early warning system for pathogen exposure and infection to prevent nosocomial infections in negative-pressure wards. In this study, visualization and construction of an infection risk assessment of SARS-CoV-2 through aerosol and surface transmission in a negative-pressure ward were performed to describe the distribution regularity and infection risk of SARS-CoV-2, the critical factors of infection, the air changes per hour (ACHs) and the viral variation that affect infection risk. The SARS-CoV-2 distribution data from this model were verified by field test data from the Wuhan Huoshenshan Hospital ICU ward. ACHs have a great impact on the infection risk from airborne exposure, while they have little effect on the infection risk from surface exposure. The variant strains demonstrated significantly increased viral loads and risks of infection. The level of protection for nurses and surgeons should be increased when treating patients infected with variant strains, and new disinfection methods, electrostatic adsorption and other air purification methods should be used in all human environments. The results of this study may provide a theoretical reference and technical support for reducing the occurrence of nosocomial infections.

Anesthesia Guidelines and Practical Recommendations during Covid-19 Pandemic Based on an Evaluating Guideline of Several Countries

Background: The outbreak of Covid-19 has seriously challenged the world's health systems, which brought about a growing dissemination of a multitude anesthesia guidelines. Considering the collaboration of international collogues with the purpose of saving patients’ lives and health care workers, the primary purpose of this study is to describe and evaluate the national guidelines released for the management of anesthesia in patients with Covid 19. Methods: The required data were collected through systematic review approach by consulting the national guidelines published in the datasets such as Pub-med, Cochrane Library, Embase, Science Direct, and Up-to-date. This inclusive searching approach was supplemented with the World Federation of Anesthesiologists Information Resources website. Results: We reviewed the guidelines disseminated by Australia, Canada, China, India, Italy, South Africa, South Korea, Taiwan, Iran, the United Kingdom, and the United States. The results revealed that all the above guidelines were often used to limit the spread of infection and to maintain the health of health care providers. Considering the scope and mission of the guidelines, the results also showed that the most comprehensive ones were disseminated by Chinese researchers. The most transparent reporting of sources of information was released by South Africa and the United Kingdom scholars. Conclusion: Evidence-based implications, the national guidelines need to be updated to increase their accuracy, clarity, and enforceability.

Acupuncture for nasal congestion in COVID-19: A protocol for systematic review and meta-analysis.

Background:From the end of 2019 to now, coronavirus disease 2019 (COVID-19) has put enormous strain on the world's health systems, causing significant deaths and economic losses worldwide. Nasal congestion, one of the symptoms of COVID-19, poses considerable problems for patients. In China, acupuncture has been widely used to treat nasal congestion caused by COVID-19, but there is still a lack of evidence-based medical evaluation.Methods:According to the retrieval strategies, randomized controlled trials on the acupuncture for COVID-19 nasal congestion were obtained from China National Knowledge Infrastructure, WanFang, VIP, PubMed, Embase, and Cochrane Library, regardless of publication date, or language. Studies were screened based on inclusion and exclusion criteria, and the Cochrane risk bias assessment tool was used to evaluate the quality of the studies. The meta-analysis was performed using Review Manager (RevMan 5.3) and STATA 14.2 software. Ultimately, the evidentiary grade for the results will be evaluated.Results:The study will provide a high-quality and convincing assessment of the efficacy and safety of acupuncture in the treatment of COVID-19's nasal congestion and will be published in peer-reviewed journals.Conclusion:Our findings will provide references for future clinical decision and guidance development.PROSPERO registration number:NO.CRD42021299482.

HiSpike Method for High-Throughput Cost Effective Sequencing of the SARS-CoV-2 Spike Gene.

The changing nature of the SARS-CoV-2 pandemic poses unprecedented challenges to the world's health systems. Emerging spike gene variants jeopardize global efforts to produce immunity and reduce morbidity and mortality. These challenges require effective real-time genomic surveillance solutions that the medical community can quickly adopt. The SARS-CoV-2 spike protein mediates host receptor recognition and entry into the cell and is susceptible to generation of variants with increased transmissibility and pathogenicity. The spike protein is the primary target of neutralizing antibodies in COVID-19 patients and the most common antigen for induction of effective vaccine immunity. Tight monitoring of spike protein gene variants is key to mitigating COVID-19 spread and generation of vaccine escape mutants. Currently, SARS-CoV-2 sequencing methods are labor intensive and expensive. When sequence demands are high sequencing resources are quickly exhausted. Consequently, most SARS-CoV-2 strains are sequenced in only a few developed countries and rarely in developing regions. This poses the risk that undetected, dangerous variants will emerge. In this work, we present HiSpike, a method for high-throughput cost effective targeted next generation sequencing of the spike gene. This simple three-step method can be completed in < 30 h, can sequence 10-fold more samples compared to conventional methods and at a fraction of their cost. HiSpike has been validated in Israel, and has identified multiple spike variants from real-time field samples including Alpha, Beta, Delta and the emerging Omicron variants. HiSpike provides affordable sequencing options to help laboratories conserve resources for widespread high-throughput, near real-time monitoring of spike gene variants.

Rethinking Cervical Cancer Screening in Brazil Post COVID-19: A Global Opportunity to Adopt Higher Impact Strategies.

The World Health Organization global call to eliminate cervical cancer encourages countries to consider introducing or improving cervical cancer screening programs. Brazil's Unified Health System (SUS) is among the world's largest public health systems offering free cytology testing, follow-up colposcopy, and treatment. Yet, health care networks across the country have unequal infrastructure, human resources, equipment, and supplies resulting in uneven program performance and large disparities in cervical cancer incidence and mortality. An effective screening program needs multiple strategies feasible for each community's reality, facilitating coverage and follow-up adherence. Prioritizing those at highest risk with tests that better stratify risk will limit inefficiencies, improving program impact across different resource settings. Highly sensitive human papillomavirus (HPV)-DNA testing performs better than cytology and, with self-collection closer to homes and workplaces, improves access, even in remote regions. Molecular triage strategies like HPV genotyping can identify from the same self-collected sample, those at highest risk requiring follow-up. If proven acceptable, affordable, cost-effective, and efficient in the Brazilian context, these strategies would increase coverage while removing the need for speculum exams for routine screening and reducing follow-up visits. SUS could implement a nationwide organized program that accommodates heterogenous settings across Brazil, informing a variety of screening programs worldwide.

Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification

The Covid-19 European outbreak in February 2020 has challenged the world's health systems, eliciting an urgent need for effective and highly reliable diagnostic instruments to help medical personnel. Deep learning (DL) has been demonstrated to be useful for diagnosis using both computed tomography (CT) scans and chest X-rays (CXR), whereby the former typically yields more accurate results. However, the pivoting function of a CT scan during the pandemic presents several drawbacks, including high cost and cross-contamination problems. Radiation-free lung ultrasound (LUS) imaging, which requires high expertise and is thus being underutilised, has demonstrated a strong correlation with CT scan results and a high reliability in pneumonia detection even in the early stages. In this study, we developed a system based on modern DL methodologies in close collaboration with Fondazione IRCCS Policlinico San Matteo's Emergency Department (ED) of Pavia. Using a reliable dataset comprising ultrasound clips originating from linear and convex probes in 2908 frames from 450 hospitalised patients, we conducted an investigation into detecting Covid-19 patterns and ranking them considering two severity scales. This study differs from other research projects by its novel approach involving four and seven classes. Patients admitted to the ED underwent 12 LUS examinations in different chest parts, each evaluated according to standardised severity scales. We adopted residual convolutional neural networks (CNNs), transfer learning, and data augmentation techniques. Hence, employing methodological hyperparameter tuning, we produced state-of-the-art results meeting F1 score levels, averaged over the number of classes considered, exceeding 98%, and thereby manifesting stable measurements over precision and recall.

Current systematic reviews and meta-analyses of COVID-19.

BACKGROUNDCoronavirus disease 2019 (COVID-19) has left a significant impact on the world's health, economic and political systems; as of November 20, 2020, more than 57 million people have been infected worldwide, with over 1.3 million deaths. While the global spotlight is currently focused on combating this pandemic through means ranging from finding a treatment among existing therapeutic agents to inventing a vaccine that can aid in halting the further loss of life.AIMTo collect all systematic reviews and meta-analyses published related to COVID-19 to better identify available evidence, highlight gaps in knowledge, and elucidate further meta-analyses and umbrella reviews that are yet to be performed.METHODSWe explored studies based on systematic reviews and meta-analyses with the key-terms, including severe acute respiratory syndrome (SARS), SARS virus, coronavirus disease, COVID-19, and SARS coronavirus-2. The included studies were extracted from Embase, Medline, and Cochrane databases. The publication timeframe of included studies ranged between January 01, 2020, to October 30, 2020. Studies that were published in languages other than English were not considered for this systematic review. The finalized full-text articles are freely accessible in the public domain.RESULTSSearching Embase, Medline, and Cochrane databases resulted in 1906, 669, and 19 results, respectively, that comprised 2594 studies. 515 duplicates were subsequently removed, leaving 2079 studies. The inclusion criteria were systematic reviews or meta-analyses. 860 results were excluded for being a review article, scope review, rapid review, panel review, or guideline that produced a total of 1219 studies. After screening articles were categorized, the included articles were put into main groups of clinical presentation, epidemiology, screening and diagnosis, severity assessment, special populations, and treatment. Subsequently, there was a second subclassification into the following groups: gastrointestinal, cardiovascular, neurological, stroke, thrombosis, anosmia and dysgeusia, ocular manifestations, nephrology, cutaneous manifestations, D-dimer, lymphocyte, anticoagulation, antivirals, convalescent plasma, immunosuppressants, corticosteroids, hydroxychloroquine, renin-angiotensin-aldosterone system, technology, diabetes mellitus, obesity, pregnancy, children, mental health, smoking, cancer, and transplant.CONCLUSIONAmong the included articles, it is clear that further research is needed regarding treatment options and vaccines. With more studies, data will be less heterogeneous, and statistical analysis can be better applied to provide more robust clinical evidence. This study was not designed to give recommendations regarding the management of COVID-19.

Role of COVIDsafe app and control measures in Australia in combating COVID-19 pandemic

PurposeCOVID-19 (C19) has been destroying the world's health and emergency response system for almost the past year. Policymakers and health practitioners are trying their best to save the public through various policy development and initiatives in this regard. This study aims to examine the containment measures and their impacts on Australia's C19 situation in Australia's COVIDsafe app background.Design/methodology/approachThis study investigates the role of the Australian Government's (AG) Health Containment (HC) and Stringency response (SR) in combating the C19 situation in Australia. The time horizon has been taken from January to October 2020 and applied Linear Regression with graphical demonstration analysis by STATA-18 version and MS Word chart features.FindingsBy applying linear regression and graphical demonstration, statistics revealed that AG made various policy developments during the C19 pandemic. However, due to inconsistent and unsustainable measures, the second C19 wave hit Australia much harder than the first wave. COVIDsafe app has been a vital AG in this regard; however, it did not show its progress during the second wave due to privacy issues. After the more focused and aggressive research and development measures, AG overcame the App drawbacks and controlled the situation, demonstrating 92% recovered statistics from C19.Practical implicationsThe study concludes that AG should enforce many prudent policy measures and distinct E-government features in the COVIDsafe app and make it secure so people will use it in probable forthcoming C19 waves.Originality/valueThis study has examined the Government of Australia's containment measures in the background discussion of the COVIDsafe app.

COVID-19 and Repurposed Drugs How Much is A Human Life?.

The current pandemic due to COVID 19 (SARS COV2) has revealed a disturbing reality most of the world's health systems, and the organizations that govern health policies at a global level, have not been able to meet the expectations that were set on them. On the one hand, W.H.O has shown hesitations, orders, counter-orders, delays and errors that have made it lose credibility. The terrible images of corpses piled up in the corridors of healthcare centers (from underdeveloped countries to the most powerful ones in the planet); will remain forever in our memory. The enormous financial effort made was not always well targeted, and rarely benefited the patients. The cost / benefit ratio was inverted, contributing fortunes in the final monitoring of severe cases, when logic indicates that emphasis should be placed on not reaching severe stages, and must be solved earlier. In this article, we establish a comparison between what is done and what - in our opinion - should be done.

Potential of the Use of Functional Beverages from Plant By-Products in the Reduction the Damage to Human Health Caused by SARS-CoV-2 (COVID-19)

The COVID-19 pandemic is challenging the world's socio-economic and health systems and exemplifies the degree of global interdependencies. This opinion-paper reviews challenge, potential solutions for the COVID-19 coronavirus that focuses on Nutraceutical fermented beverages were intensively studied and promoted by various organizations in the field of food nutrition and health WHO (World Health Organization). In search of experimental confirmation of the numerous fermented beverages health-promoting aspects cited previously.