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Infectious Disease: Epidemics

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Total 25019 results found since Jan 2013.

A fully integrated duplex RT-LAMP device for the detection of viral infections
In this study, we showed and evaluated a prototype of a microfluidic system, and showed that duplex RT-LAMP can detect and distinguish between the two viruses, with LoDs of 2,000 copies/ml for bovine coronavirus and 200 copies/ml for influenza A/X-31 virus.PMID:37682413 | PMC:PMC10491696 | DOI:10.1007/s10544-023-00676-w
Source: Biomedical Microdevices - September 8, 2023 Category: Biomedical Engineering Authors: Nicolas Mytzka Skaiste Arbaciauskaite Natalia Sandetskaya Kai Mattern Dirk Kuhlmeier Source Type: research

Framing Cancer Survivors' Access to and Use and Disposal of Prescribed Opioids Within the Opioid Epidemic
Oncol Nurs Forum. 2022 Dec 16;50(1):25-34. doi: 10.1188/23.ONF.25-34.ABSTRACTPURPOSE: To explore cancer survivors' access to and use and disposal of opioids in the context of the opioid epidemic.PARTICIPANTS & SETTING: Community-based recruitment strategies were employed for individuals aged 18 years or older who were previously diagnosed with cancer, completed cancer treatment within the past five years, or were cancer free, and who were prescribed opioids for cancer-related pain.METHODOLOGIC APPROACH: This qualitative study used semistructured interviews. Data were analyzed using applied thematic analysis techniques....
Source: Oncology Nursing Forum - September 7, 2023 Category: Nursing Authors: Victoria K Marshall Melody N Chavez Khary K Rigg Barbara Lubrano di Ciccone Sahana Rajasekhara Andrea Efre Dina Martinez Tyson Source Type: research

Rapid classification of SARS-CoV-2 variant strains using machine learning-based label-free SERS strategy
In this study, the label-free surface-enhanced Raman scattering (SERS) technology combined with machine learning (ML) algorithms provide a potential solution for accurate identification of SARS-CoV-2 variants. We establish a SERS spectral database of SARS-CoV-2 variants and demonstrate that a diagnostic classifier using a logistic regression (LR) algorithm can provide accurate results within 10 min. Our classifier achieves 100% accuracy for Beta (B.1.351/501Y.V2), Delta (B.1.617), Wuhan (COVID-19) and Omicron (BA.1) variants. In addition, our method achieves 100% accuracy in blind tests of positive and negative human nasal...
Source: Talanta - September 7, 2023 Category: Chemistry Authors: Jingwang Qin Xiangdong Tian Siying Liu Zhengxia Yang Dawei Shi Sihong Xu Yun Zhang Source Type: research

Getting Jab or Regular Test: Observations from an Impulsive Epidemic COVID-19 Model
This study proposes a population-based model that can accommodate different personal decision choices, such as getting vaccinated or undergoing regular tests, as well as vaccine efficacies and uncertainties in epidemic transmission. The model, formulated as impulsive differential equations, uses time instants to represent the reporting date for the test result of an unvaccinated individual. By employing well-accepted indices to measure transmission risk, including the basic reproduction number, the peak time, the final size, and the number of severe infections, the study shows that an optimal testing frequency is highly se...
Source: Bulletin of Mathematical Biology - September 7, 2023 Category: Bioinformatics Authors: Kaihui Liu Zhenguo Bai Daihai He Yijun Lou Source Type: research

Translated articleComment on «Epidemic Scabies: New Treatment Challenges in an Ancient Disease»
Actas Dermosifiliogr. 2023 Sep 5:S0001-7310(23)00694-4. doi: 10.1016/j.ad.2023.05.033. Online ahead of print.NO ABSTRACTPMID:37678631 | DOI:10.1016/j.ad.2023.05.033
Source: Actas Dermo-Sifiliograficas - September 7, 2023 Category: Dermatology Authors: O Su árez-Amor B Monteagudo M Cabanillas Source Type: research

Getting Jab or Regular Test: Observations from an Impulsive Epidemic COVID-19 Model
This study proposes a population-based model that can accommodate different personal decision choices, such as getting vaccinated or undergoing regular tests, as well as vaccine efficacies and uncertainties in epidemic transmission. The model, formulated as impulsive differential equations, uses time instants to represent the reporting date for the test result of an unvaccinated individual. By employing well-accepted indices to measure transmission risk, including the basic reproduction number, the peak time, the final size, and the number of severe infections, the study shows that an optimal testing frequency is highly se...
Source: Bulletin of Mathematical Biology - September 7, 2023 Category: Bioinformatics Authors: Kaihui Liu Zhenguo Bai Daihai He Yijun Lou Source Type: research

Translated articleComment on «Epidemic Scabies: New Treatment Challenges in an Ancient Disease»
Actas Dermosifiliogr. 2023 Sep 5:S0001-7310(23)00694-4. doi: 10.1016/j.ad.2023.05.033. Online ahead of print.NO ABSTRACTPMID:37678631 | DOI:10.1016/j.ad.2023.05.033
Source: Actas Dermo-Sifiliograficas - September 7, 2023 Category: Dermatology Authors: O Su árez-Amor B Monteagudo M Cabanillas Source Type: research

Cycle Threshold Values as Indication of Increasing SARS-CoV-2 New Variants, England, 2020-2022
Emerg Infect Dis. 2023 Sep 7;29(10). doi: 10.3201/eid2910.230030. Online ahead of print.ABSTRACTEarly detection of increased infections or new variants of SARS-CoV-2 is critical for public health response. To determine whether cycle threshold (Ct) data from PCR tests for SARS-CoV-2 could serve as an early indicator of epidemic growth, we analyzed daily mean Ct values in England, UK, by gene target and used iterative sequential regression to detect break points in mean Ct values (and positive test counts). To monitor the epidemic in England, we continued those analyses in real time. During September 2020-January 2022, a tot...
Source: Emerging Infectious Diseases - September 7, 2023 Category: Infectious Diseases Authors: Rebecca E Harrison Ahmed Hamada Nujcharee Haswell Aigul Groves Karina-Doris Vihta Kerry Cella Sarah Garner Ann Sarah Walker Anna C Seale Source Type: research

Obesity, Weight Gain, and Fluid Overload in Peritoneal Dialysis
Front Nephrol. 2022 Jun 28;2:880097. doi: 10.3389/fneph.2022.880097. eCollection 2022.ABSTRACTObesity is a global epidemic that has a complicated pathogenesis as well as impact on the outcome of peritoneal dialysis (PD) patients. In this review, the prevalence of obesity in incident PD patients as well as the phenomenon of new-onset glucose intolerance after PD will be reviewed. Published literature on the effect of obesity on the survival and incidence of cardiovascular disease in PD patients will be discussed. Particular emphasis would be put on literature that compared the impact of obesity on the outcome of hemodialysi...
Source: Atherosclerosis - September 7, 2023 Category: Cardiology Authors: Jack Kit-Chung Ng Win Hlaing Than Cheuk Chun Szeto Source Type: research

Is BCG vaccination of possums the solution to the Buruli ulcer epidemic in south-eastern Australia?
Med J Aust. 2023 Sep 7. doi: 10.5694/mja2.52096. Online ahead of print.NO ABSTRACTPMID:37679050 | DOI:10.5694/mja2.52096
Source: Med J Aust - September 7, 2023 Category: General Medicine Authors: Daniel P O'Brien Kim Blasdell Stephen Muhi Ben J Marais Bryce Buddle Bridgette McNamara Eugene Athan Source Type: research

Chronic Interstitial Nephritis in Agricultural Communities: Observational and Mechanistic Evidence Supporting the Role of Nephrotoxic Agrochemicals
Clin J Am Soc Nephrol. 2023 Sep 6. doi: 10.2215/CJN.0000000000000312. Online ahead of print.ABSTRACTChronic interstitial nephritis in agricultural communities (CINAC) is an epidemic of kidney disease affecting specific tropical and subtropical regions worldwide and is characterized by progressive chronic kidney disease (CKD) in the absence of traditional risk factors such as hypertension and diabetes. CINAC prevalence is higher among young, male agricultural workers, but also affects women, children, and non-agricultural workers in affected areas. Biopsies from patients with CINAC across regions commonly demonstrate tubula...
Source: Clinical Journal of the American Society of Nephrology : CJASN - September 7, 2023 Category: Urology & Nephrology Authors: Michael W Holliday Ravikumar Nagavenkata Majeti David Sheikh-Hamad Source Type: research

Cycle Threshold Values as Indication of Increasing SARS-CoV-2 New Variants, England, 2020-2022
Emerg Infect Dis. 2023 Sep 7;29(10). doi: 10.3201/eid2910.230030. Online ahead of print.ABSTRACTEarly detection of increased infections or new variants of SARS-CoV-2 is critical for public health response. To determine whether cycle threshold (Ct) data from PCR tests for SARS-CoV-2 could serve as an early indicator of epidemic growth, we analyzed daily mean Ct values in England, UK, by gene target and used iterative sequential regression to detect break points in mean Ct values (and positive test counts). To monitor the epidemic in England, we continued those analyses in real time. During September 2020-January 2022, a tot...
Source: Emerging Infectious Diseases - September 7, 2023 Category: Infectious Diseases Authors: Rebecca E Harrison Ahmed Hamada Nujcharee Haswell Aigul Groves Karina-Doris Vihta Kerry Cella Sarah Garner Ann Sarah Walker Anna C Seale Source Type: research

Rapid classification of SARS-CoV-2 variant strains using machine learning-based label-free SERS strategy
In this study, the label-free surface-enhanced Raman scattering (SERS) technology combined with machine learning (ML) algorithms provide a potential solution for accurate identification of SARS-CoV-2 variants. We establish a SERS spectral database of SARS-CoV-2 variants and demonstrate that a diagnostic classifier using a logistic regression (LR) algorithm can provide accurate results within 10 min. Our classifier achieves 100% accuracy for Beta (B.1.351/501Y.V2), Delta (B.1.617), Wuhan (COVID-19) and Omicron (BA.1) variants. In addition, our method achieves 100% accuracy in blind tests of positive and negative human nasal...
Source: Talanta - September 7, 2023 Category: Chemistry Authors: Jingwang Qin Xiangdong Tian Siying Liu Zhengxia Yang Dawei Shi Sihong Xu Yun Zhang Source Type: research