Rabia Bag Soytas, Elise J Levinoff, Lee Smith, Alper Doventas, José A Morais, Nicola Veronese, Pinar Soysal
{"title":"Predictive Strategies to Reduce the Risk of Rehospitalization with a Focus on Frail Older Adults: A Narrative Review.","authors":"Rabia Bag Soytas, Elise J Levinoff, Lee Smith, Alper Doventas, José A Morais, Nicola Veronese, Pinar Soysal","doi":"10.3390/epidemiologia4040035","DOIUrl":"10.3390/epidemiologia4040035","url":null,"abstract":"<p><p>Frailty is a geriatric syndrome that has physical, cognitive, psychological, social, and environmental components and is characterized by a decrease in physiological reserves. Frailty is associated with several adverse health outcomes such as an increase in rehospitalization rates, falls, delirium, incontinence, dependency on daily living activities, morbidity, and mortality. Older adults may become frailer with each hospitalization; thus, it is beneficial to develop and implement preventive strategies. The present review aims to highlight the epidemiological importance of frailty in rehospitalization and to compile predictive strategies and related interventions to prevent hospitalizations. Firstly, it is important to identify pre-frail and frail older adults using an instrument with high validity and reliability, which can be a practically applicable screening tool. Comprehensive geriatric assessment-based care is an important strategy known to reduce morbidity, mortality, and rehospitalization in older adults and aims to meet the needs of frail patients with a multidisciplinary approach and intervention that includes physiological, psychological, and social domains. Moreover, effective multimorbidity management, physical activity, nutritional support, preventing cognitive frailty, avoiding polypharmacy and anticholinergic drug burden, immunization, social support, and reducing the caregiver burden are other recommended predictive strategies to prevent post-discharge rehospitalization in frail older adults.</p>","PeriodicalId":72944,"journal":{"name":"Epidemiolgia (Basel, Switzerland)","volume":"4 4","pages":"382-407"},"PeriodicalIF":0.0,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594531/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49694741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Agreement in All-in-One Dataset between Diagnosis and Prescribed Medication for Common Cardiometabolic Diseases in the NDB-K7Ps.","authors":"Airi Sekine, Kei Nakajima","doi":"10.3390/epidemiologia4040034","DOIUrl":"10.3390/epidemiologia4040034","url":null,"abstract":"<p><p>The Japanese National Database (NDB), a useful data source for epidemiological studies, contains information on health checkups, disease diagnoses, and medications, which can be used when investigating common cardiometabolic diseases. However, before the initiation of an integrated analysis, we need to combine several pieces of information prepared separately into an all-in-one dataset (AIOD) and confirm the validation of the dataset for the study. In this study, we aimed to confirm the degree of agreement in data entries between diagnoses and prescribed medications and self-reported pharmacotherapy for common cardiometabolic diseases in newly assembled AIODs. The present study included 10,183,619 people who underwent health checkups from April 2018 to March 2019. Over 95% of patients prescribed antihypertensive and antidiabetic medications were diagnosed with each disease. For dyslipidemia, over 95% of patients prescribed medications were diagnosed with at least one of the following: dyslipidemia, hypercholesterolemia, or hyperlipidemia. Similarly, over 95% of patients prescribed medications for hyperuricemia were diagnosed with either hyperuricemia or gout. Additionally, over 90% of patients with self-reported medications for hypertension, diabetes, and dyslipidemia were diagnosed with each disease, although the proportions differed among age groups. Our study demonstrated high levels of agreement between diagnoses and prescribed medications for common cardiometabolic diseases and self-reported pharmacotherapy in our AIOD.</p>","PeriodicalId":72944,"journal":{"name":"Epidemiolgia (Basel, Switzerland)","volume":"4 4","pages":"370-381"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594522/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49694738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aravind P Gandhi, Bijaya K Padhi, Mokanpally Sandeep, Muhammad Aaqib Shamim, Tarun K Suvvari, Prakasini Satapathy, Abdelmonem Siddiq, Ranjit Sah, Sarvesh Rustagi, Zahraa H Al-Qaim, Jagdish Khubchandani
{"title":"Monkeypox Patients Living with HIV: A Systematic Review and Meta-Analysis of Geographic and Temporal Variations.","authors":"Aravind P Gandhi, Bijaya K Padhi, Mokanpally Sandeep, Muhammad Aaqib Shamim, Tarun K Suvvari, Prakasini Satapathy, Abdelmonem Siddiq, Ranjit Sah, Sarvesh Rustagi, Zahraa H Al-Qaim, Jagdish Khubchandani","doi":"10.3390/epidemiologia4030033","DOIUrl":"https://doi.org/10.3390/epidemiologia4030033","url":null,"abstract":"<p><p>This index meta-analysis estimated the pooled prevalence of human immunodeficiency virus (HIV) among individuals with monkeypox (mpox) globally. We searched seven databases: PubMed, Scopus, Web of Science, EMBASE, ProQuest, EBSCOHost, and Cochrane, for human studies published in English till 4 January 2023, as per International Prospective Register of Systematic Reviews (PROSPERO) registration protocol (CRD42022383275). A random effects regression model was used to estimate the pooled prevalence owing to high heterogeneity. The risk of bias in the included studies was assessed using the National Heart, Lung, and Blood Institute (NHLBI) quality assessment tool. The systematic search yielded 677 articles; finally, 32 studies were found eligible for systematic review and 29 studies for meta-analysis. The pooled prevalence of HIV infection was 41% (95% confidence interval [CI], 35-48). All studies were rated as fair or good quality. Studies from Europe and North America reported a high prevalence of HIV infection among individuals with mpox- 41% (95% CI 33-49) and 52% (95% CI 28-76), respectively, while studies from Nigeria, Africa reported a relatively low prevalence of HIV infection of 21% (95% CI 15-26)<b>.</b> A history of sexual orientation and sexual partners in the last 21 days must be taken from individuals with mpox to identify the potential source and contacts for quarantining and testing them.</p>","PeriodicalId":72944,"journal":{"name":"Epidemiolgia (Basel, Switzerland)","volume":"4 3","pages":"352-369"},"PeriodicalIF":0.0,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528863/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41163631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luc Onambele, Sara Guillen-Aguinaga, Laura Guillen-Aguinaga, Wilfrido Ortega-Leon, Rocio Montejo, Rosa Alas-Brun, Enrique Aguinaga-Ontoso, Ines Aguinaga-Ontoso, Francisco Guillen-Grima
{"title":"Trends, Projections, and Regional Disparities of Maternal Mortality in Africa (1990-2030): An ARIMA Forecasting Approach.","authors":"Luc Onambele, Sara Guillen-Aguinaga, Laura Guillen-Aguinaga, Wilfrido Ortega-Leon, Rocio Montejo, Rosa Alas-Brun, Enrique Aguinaga-Ontoso, Ines Aguinaga-Ontoso, Francisco Guillen-Grima","doi":"10.3390/epidemiologia4030032","DOIUrl":"https://doi.org/10.3390/epidemiologia4030032","url":null,"abstract":"<p><p>With the United Nations Sustainable Development Goals (SDG) (2015-2030) focused on the reduction in maternal mortality, monitoring and forecasting maternal mortality rates (MMRs) in regions like Africa is crucial for health strategy planning by policymakers, international organizations, and NGOs. We collected maternal mortality rates per 100,000 births from the World Bank database between 1990 and 2015. Joinpoint regression was applied to assess trends, and the autoregressive integrated moving average (ARIMA) model was used on 1990-2015 data to forecast the MMRs for the next 15 years. We also used the Holt method and the machine-learning Prophet Forecasting Model. The study found a decline in MMRs in Africa with an average annual percentage change (APC) of -2.6% (95% CI -2.7; -2.5). North Africa reported the lowest MMR, while East Africa experienced the sharpest decline. The region-specific ARIMA models predict that the maternal mortality rate (MMR) in 2030 will vary across regions, ranging from 161 deaths per 100,000 births in North Africa to 302 deaths per 100,000 births in Central Africa, averaging 182 per 100,000 births for the continent. Despite the observed decreasing trend in maternal mortality rate (MMR), the MMR in Africa remains relatively high. The results indicate that MMR in Africa will continue to decrease by 2030. However, no region of Africa will likely reach the SDG target.</p>","PeriodicalId":72944,"journal":{"name":"Epidemiolgia (Basel, Switzerland)","volume":"4 3","pages":"322-351"},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528291/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41142614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Essential Business Visits and Social Vulnerability during New York City's Initial COVID-19 Outbreak.","authors":"Debra F Laefer, Delphine Protopapas","doi":"10.3390/epidemiologia3040039","DOIUrl":"https://doi.org/10.3390/epidemiologia3040039","url":null,"abstract":"<p><p>New York City (NYC) was deeply impacted by COVID-19 in spring 2020, with thousands of new cases daily. However, the pandemic's effects were not evenly distributed across the city, and the specific contributors have not yet been systematically considered. To help investigate that topic, this study analyzed the interaction of people with neighborhood businesses and other points of interest (POIs) in parts of three NYC neighborhoods in the spring of 2020 during the peak of the first COVID-19 wave through anonymized cellphone data and direct the observation of 1313 individuals leaving healthcare facilities. This study considered social vulnerability index (SVI) levels, population density, and POI visit behaviors from both cellphone data and firsthand observations of behavior around select NYC health facilities in different boroughs as various proxies. By considering equivalent businesses or groups of businesses by neighborhood, POI visits better aligned with COVID-19 infection levels than SVI. If tracking POI visit levels proves a reliable direct or relative proxy for disease transmission when checked against larger datasets, this method could be critical in both predictions of future outbreaks and the setting of customer density limits.</p>","PeriodicalId":72944,"journal":{"name":"Epidemiolgia (Basel, Switzerland)","volume":"3 4","pages":"518-532"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680471/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10384470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Knowledge, Attitudes, Practices and Zoonotic Risk Perception of Bovine Q Fever (<i>Coxiella burnetii</i>) among Cattle Farmers and Veterinary Personnel in Northern Regions of Cameroon.","authors":"Camille Teitsa Zangue, Justin Kouamo, Ferdinand Ngoula, Ludovic Pépin M'bapté Tawali, Moustapha Mohamed Fokom Ndebé, Dinayen Edwin Somnjom, Ranyl Noumedem Guefack Nguena, Mohamed Moctar Mouliom Mouiche","doi":"10.3390/epidemiologia3040036","DOIUrl":"https://doi.org/10.3390/epidemiologia3040036","url":null,"abstract":"A cross-sectional survey was conducted to investigate the knowledge, attitudes, practices and zoonotic risk perception of Q fever among 484 selected cattle farmers (438) and veterinary personnel (46) in three northern regions of Cameroon. Data collection was conducted using questionnaires and responses were recoded into binary scale. An ANOVA test was used to assess significant differences in mean knowledge, attitude, practice and zoonotic risk perception (KAPP) scores between regions, while Linear regression was done to explore the relationship between demographic characteristic and KAPP. Overall, surveyed had low mean scores for knowledge (0.02 ± 0.11), desirable attitude (0.30 ± 0.16), appropriate practice (0.43 ± 0.13) and negative perception of zoonotic risks (0.05 ± 0.11). The means knowledge, attitude, practice and risks perception scores of cattle farmers were lower than those of veterinary personnel. The nature of respondent was negatively associated to knowledge and risks perception, while regions were negatively correlated to attitude and practice. These results revealed significant knowledge gaps, low levels of desired attitudes, and high-risk behavioral practices. To improve awareness, control programs are needed to update knowledge on medical personnel and to prevent animal-to-human transmission.","PeriodicalId":72944,"journal":{"name":"Epidemiolgia (Basel, Switzerland)","volume":"3 4","pages":"482-492"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680217/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10384469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Molecular Epidemiological Investigations of Localized SARS-CoV-2 Outbreaks-Utility of Public Algorithms.","authors":"Mahmood Y Bilal, James S Klutts","doi":"10.3390/epidemiologia3030031","DOIUrl":"10.3390/epidemiologia3030031","url":null,"abstract":"<p><p>The recent rapid expansion of targeted viral sequencing approaches in conjunction with available bioinformatics have provided an effective platform for studying severe acute respiratory syndrome coronavirus-2 (CoV-2) virions at the molecular level. These means can be adapted to the field of viral molecular epidemiology, wherein localized outbreak clusters can be evaluated and linked. To this end, we have integrated publicly available algorithms in conjunction with targeted RNASeq data in order to qualitatively evaluate similarity or dissimilarity between suspect outbreak strains from hospitals, or assisted living facilities. These tools include phylogenetic clustering and mutational analysis utilizing Nextclade and Ultrafast Sample placement on Existing tRee (UShER). We herein present these outbreak screening tools utilizing three case examples in the context of molecular epidemiology, along with limitations and potential future developments. We anticipate that these methods can be performed in clinical molecular laboratories equipped with CoV-2-sequencing technology.</p>","PeriodicalId":72944,"journal":{"name":"Epidemiolgia (Basel, Switzerland)","volume":"3 3","pages":"402-411"},"PeriodicalIF":0.0,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620882/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10690449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alberto Arnedo-Pena, María Angeles Romeu-Garcia, Juan Carlos Gasco-Laborda, Noemi Meseguer-Ferrer, Lourdes Safont-Adsuara, Francisco Guillen-Grima, María Dolores Tirado-Balaguer, Susana Sabater-Vidal, María Gil-Fortuño, Oscar Pérez-Olaso, Noelia Hernández-Pérez, Rosario Moreno-Muñoz, Juan Bellido-Blasco
{"title":"Incidence, Hospitalization, Mortality and Risk Factors of COVID-19 in Long-Term Care Residential Homes for Patients with Chronic Mental Illness.","authors":"Alberto Arnedo-Pena, María Angeles Romeu-Garcia, Juan Carlos Gasco-Laborda, Noemi Meseguer-Ferrer, Lourdes Safont-Adsuara, Francisco Guillen-Grima, María Dolores Tirado-Balaguer, Susana Sabater-Vidal, María Gil-Fortuño, Oscar Pérez-Olaso, Noelia Hernández-Pérez, Rosario Moreno-Muñoz, Juan Bellido-Blasco","doi":"10.3390/epidemiologia3030030","DOIUrl":"10.3390/epidemiologia3030030","url":null,"abstract":"<p><p>Long-term care residential homes (LTCRH) for patients with chronic mental illness have suffered the enormous impact of COVID-19. This study aimed to estimate incidence, hospitalization, mortality, and risk factors of COVID-19 to prevent future epidemics. From March 2020 to January 2021 and before vaccination anti-SARS-CoV-2 begins, cumulate incidence rate (CIR), hospitalization rate (HR), mortality rate (MR), and risk factors of COVID-19 in the 11 LTCRH of two Health Departments of Castellon (Spain) were studied by epidemiological surveillance and an ecological design. Laboratory tests confirmed COVID-19 cases, and multilevel Poisson regression models were employed. All LTCRH participated and comprised 346 residents and 482 staff. Residents had a mean age of 47 years, 40% women, and suffered 75 cases of COVID-19 (CIR = 21.7%), five hospitalizations (HR = 1.4%), and two deaths (MR = 0.6%) with 2.5% fatality-case. Staff suffered 74 cases of the disease (CIR = 15.4%), one hospitalization (HR = 0.2%), and no deaths were reported. Risk factors associated with COVID-19 incidence in residents were private ownership, severe disability, residents be younger, CIR in municipalities where LTCRH was located, CIR in staff, and older age of the facilities. Conclusion: COVID-19 incidence could be prevented by improving infection control in residents and staff and modernizing facilities with increased public ownership.</p>","PeriodicalId":72944,"journal":{"name":"Epidemiolgia (Basel, Switzerland)","volume":"3 3","pages":"391-401"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620926/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10690448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maria Victoria Zunzunegui, François Béland, Manuel Rico, Fernando J García López
{"title":"Long-Term Care Home Size Association with COVID-19 Infection and Mortality in Catalonia in March and April 2020.","authors":"Maria Victoria Zunzunegui, François Béland, Manuel Rico, Fernando J García López","doi":"10.3390/epidemiologia3030029","DOIUrl":"10.3390/epidemiologia3030029","url":null,"abstract":"<p><p>We aim to assess how COVID-19 infection and mortality varied according to facility size in 965 long-term care homes (LTCHs) in Catalonia during March and April 2020. We measured LTCH size by the number of authorised beds. Outcomes were COVID-19 infection (at least one COVID-19 case in an LTCH) and COVID-19 mortality. Risks of these were estimated with logistic regression and hurdle models. Models were adjusted for county COVID-19 incidence and population, and LTCH types. Sixty-five per cent of the LTCHs were infected by COVID-19. We found a strong association between COVID-19 infection and LTCH size in the adjusted analysis (from 45% in 10-bed homes to 97.5% in those with over 150 places). The average COVID-19 mortality in all LTCHs was 6.8% (3887 deaths) and 9.2% among the COVID-19-infected LTCHs. Very small and large homes had higher COVID-19 mortality, whereas LTCHs with 30 to 70 places had the lowest level. COVID-19 mortality sharply increased with LTCH size in counties with a cumulative incidence of COVID-19 which was higher than 250/100,000, except for very small homes, but slightly decreased with LTCH size when the cumulative incidence of COVID-19 was lower. To prevent infection and preserve life, the optimal size of an LTCH should be between 30 and 70 places.</p>","PeriodicalId":72944,"journal":{"name":"Epidemiolgia (Basel, Switzerland)","volume":"3 3","pages":"369-390"},"PeriodicalIF":0.0,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620903/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10323962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Socioeconomic Differences between Sexes in Surgically Treated Carpal Tunnel Syndrome and Ulnar Nerve Entrapment.","authors":"Malin Zimmerman, Ilka Anker, Erika Nyman","doi":"10.3390/epidemiologia3030027","DOIUrl":"https://doi.org/10.3390/epidemiologia3030027","url":null,"abstract":"<p><p>We aimed to investigate socioeconomic differences between sexes and the influence on outcome following surgery for carpal tunnel syndrome (CTS) or ulnar nerve entrapment (UNE) at the elbow. Patients with CTS (<i>n</i> = 9000) or UNE (<i>n</i> = 1266) registered in the Swedish National Register for Hand Surgery (HAKIR) 2010-2016 were included and evaluated using QuickDASH 12 months postoperatively. Statistics Sweden (SCB) provided socioeconomic data. In women with CTS, being born outside Sweden, having received social assistance, and more sick leave days predicted worse outcomes. Higher earnings and the highest level of education predicted better outcomes. In men with CTS, more sick leave days and having received social assistance predicted worse outcomes. Higher earnings predicted better outcomes. For women with UNE, higher earnings predicted better outcomes. In men with UNE, only sick leave days predicted worse outcomes. In long-term follow up, socioeconomic status affects outcomes differently in women and men with CTS or UNE.</p>","PeriodicalId":72944,"journal":{"name":"Epidemiolgia (Basel, Switzerland)","volume":"3 3","pages":"353-362"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620911/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10690446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}