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Journal of Traffic and Transportation Engineering-English Edition ; 9(6):893-911, 2022.
Article in English | Web of Science | ID: covidwho-2310938
IEEE Internet of Things Journal ; : 1-1, 2023.
Article in English | Scopus | ID: covidwho-2298736
Review of International Studies ; 49(2):181-200, 2023.
Article in English | Scopus | ID: covidwho-2268371
4th International Conference on Cybernetics and Intelligent System, ICORIS 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2248242
J Virol Methods ; 316: 114709, 2023 Jun.
Article in English | MEDLINE | ID: covidwho-2257939


High-risk human papillomavirus (hr-HPV) testing for primary cervical precancer screening offers an opportunity to improve screening in low-middle income countries (LMICs). This study aimed to compare the analytic performances of the AmpFire and MA-6000 platforms for hr-HPV DNA testing in three groups of women screened for hr-HPV types in Ghana: group 1 with 33 GeneXpert-archived ThinPrep/liquid-based samples subjected to both tests, group 2 with 50 AmpFire-archived dry brush samples subjected to MA-6000 testing, and group 3 involving 143 cotton swab samples simultaneously subjected to both tests without archiving. The overall agreement rates were 73 %, 92 %, and 84 %, for groups 1-3, respectively, and 84 % (95 % CI, 78.6-88.6) for the entire group. Neither AmpFire nor MA-6000 was more likely to test hr-HPV positive in all three groups and the combined group. Group 1 showed fair agreement without statistical significance (κ = 0.224, 95 % CI, -0.118 to 0.565), while group 3 showed significant moderate agreement (κ = 0.591, 95% CI, 0.442-0.741). Group 2 showed an almost perfect significant level of agreement (κ = 0.802; 95 % CI, 0.616-0.987). Thus, both platforms showed statistically significant moderate to near-perfect agreement for detecting hr-HPV in cervicovaginal samples, with variation according to archiving conditions and duration between sample collection and retesting. For LMICs using these platforms for COVID-19 testing, as the COVID-19 pandemic subsides, the platforms can become available for running other tests such as hr-HPV DNA testing for cervical precancer screening.

COVID-19 , Papillomavirus Infections , Uterine Cervical Dysplasia , Uterine Cervical Neoplasms , Female , Humans , Human Papillomavirus Viruses , Papillomavirus Infections/diagnosis , Papillomavirus Infections/epidemiology , COVID-19 Testing , Pandemics , COVID-19/diagnosis , Uterine Cervical Dysplasia/diagnosis , Polymerase Chain Reaction , Papillomaviridae/genetics , Uterine Cervical Neoplasms/diagnosis , Early Detection of Cancer , DNA, Viral/genetics , DNA, Viral/analysis , Sensitivity and Specificity
Comput Methods Programs Biomed Update ; 3: 100095, 2023.
Article in English | MEDLINE | ID: covidwho-2248311


Background: The rates of mental health disorders such as anxiety and depression are at an all-time high especially since the onset of COVID-19, and the need for readily available digital health care solutions has never been greater. Wearable devices have increasingly incorporated sensors that were previously reserved for hospital settings. The availability of wearable device features that address anxiety and depression is still in its infancy, but consumers will soon have the potential to self-monitor moods and behaviors using everyday commercially-available devices. Objective: This study aims to explore the features of wearable devices that can be used for monitoring anxiety and depression. Methods: Six bibliographic databases, including MEDLINE, EMBASE, PsycINFO, IEEE Xplore, ACM Digital Library, and Google Scholar were used as search engines for this review. Two independent reviewers performed study selection and data extraction, while two other reviewers justified the cross-checking of extracted data. A narrative approach for synthesizing the data was utilized. Results: From 2408 initial results, 58 studies were assessed and highlighted according to our inclusion criteria. Wrist-worn devices were identified in the bulk of our studies (n = 42 or 71%). For the identification of anxiety and depression, we reported 26 methods for assessing mood, with the State-Trait Anxiety Inventory being the joint most common along with the Diagnostic and Statistical Manual of Mental Disorders (n = 8 or 14%). Finally, n = 26 or 46% of studies highlighted the smartphone as a wearable device host device. Conclusion: The emergence of affordable, consumer-grade biosensors offers the potential for new approaches to support mental health therapies for illnesses such as anxiety and depression. We believe that purposefully-designed wearable devices that combine the expertise of technologists and clinical experts can play a key role in self-care monitoring and diagnosis.

Global Economic Review ; 2023.
Article in English | Web of Science | ID: covidwho-2242554
Critical Reviews in Environmental Science and Technology ; 53(1):87-109, 2023.
Article in English | Scopus | ID: covidwho-2240621
Cardiopulmonary Physical Therapy Journal ; 34(1):a21-a22, 2023.
Article in English | EMBASE | ID: covidwho-2222809
1st International Conference on Innovations in Intelligent Computing and Communication, ICIICC 2021 ; 1737 CCIS:313-332, 2022.
Article in English | Scopus | ID: covidwho-2219919
mSphere ; 8(1): e0055822, 2023 02 21.
Article in English | MEDLINE | ID: covidwho-2223576


Several models were developed to study the pathogenicity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as well as the in vivo efficacy of vaccines and therapeutics. Since wild-type mice are naturally resistant to infection by ancestral SARS-CoV-2 strains, several transgenic mouse models expressing human angiotensin-converting enzyme 2 (hACE2) were developed. An alternative approach has been to develop mouse-adapted SARS-CoV-2 strains. Here, we compared the clinical progression, viral replication kinetics and dissemination, pulmonary tropism, and host innate immune response dynamics between the mouse-adapted MA10 strain and its parental strain (USA-WA1/2020) following intranasal inoculation of K18-hACE2 mice, a widely used model. Compared to its parental counterpart, the MA10 strain induced earlier clinical decline with significantly higher viral replication and earlier neurodissemination. Importantly, the MA10 strain also showed a wider tropism, with infection of bronchiolar epithelia. While both SARS-CoV-2 strains induced comparable pulmonary cytokine/chemokine responses, many proinflammatory and monocyte-recruitment chemokines, such as interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α), IP-10/CXCL10, and MCP-1/CCL2, showed an earlier peak in MA10-infected mice. Furthermore, both strains induced a similar downregulation of murine Ace2, with only a transient downregulation of Tmprss2 and no alterations in hACE2 expression. Overall, these data demonstrate that in K18-hACE2 mice, the MA10 strain has a pulmonary tropism that more closely resembles SARS-CoV-2 tropism in humans (airways and pneumocytes) than its parental strain. Its rapid replication and neurodissemination and early host pulmonary responses can have a significant impact on the clinical outcomes of infection and are, therefore, critical features to consider for study designs using these strains and mouse model. IMPORTANCE The COVID-19 pandemic, caused by SARS-CoV-2, is still significantly impacting health care systems around the globe. Refined animal models are needed to study SARS-CoV-2 pathogenicity as well as efficacy of vaccines and therapeutics. In line with this, thorough evaluation of animal models and virus strains/variants are paramount for standardization and meaningful comparisons. Here, we demonstrated differences in replication dynamics between the Wuhan-like USA-WA1/2020 strain and the derivative mouse-adapted MA10 strain in K18-hACE2 mice. The MA10 strain showed accelerated viral replication and neurodissemination, differential pulmonary tropism, and earlier pulmonary innate immune responses. The observed differences allow us to better refine experimental designs when considering the use of the MA10 strain in the widely utilized K18-hACE2 murine model.

COVID-19 , SARS-CoV-2 , Mice , Humans , Animals , COVID-19/pathology , Angiotensin-Converting Enzyme 2/genetics , Pandemics , Lung/pathology , Virus Replication , Mice, Transgenic , Tropism
International Journal of Information Technology & Decision Making ; : 1-29, 2023.
Article in English | Web of Science | ID: covidwho-2214016
4th International Conference on Cybernetics, Cognition and Machine Learning Applications, ICCCMLA 2022 ; : 27-30, 2022.
Article in English | Scopus | ID: covidwho-2213221
7th International Scientific Conference on Applying New Technology in Green Buildings, ATiGB 2022 ; : 200-204, 2022.
Article in English | Scopus | ID: covidwho-2213145
Pakistan Journal of Medical and Health Sciences ; 16(11):273-274, 2022.
Article in English | EMBASE | ID: covidwho-2207090