Tag: nevin manimala

J Infect Dis. 2023 Jun 7:jiad185. doi: 10.1093/infdis/jiad185. Online ahead of print.

ABSTRACT

BACKGROUND: Adding additional specimen types (e.g., serology or sputum) to nasopharyngeal swab (NPS) RT-PCR increases respiratory syncytial virus (RSV) detection among adults. We assessed if a similar increase occurs in children and quantified under-ascertainment associated with diagnostic testing.

METHODS: We searched databases for studies involving RSV detection in persons <18 years using ≥2 specimen types or tests. We assessed study quality using a validated checklist. We pooled detection rates by specimen and diagnostic tests and quantified performance.

RESULTS: We included 157 studies. Added testing of additional specimens to NP aspirate (NPA), NPS and/or nasal swab (NS) RT-PCR resulted in statistically non-significant increases in RSV detection. Adding paired serology testing increased RSV detection by 10%, NS by 8%, oropharyngeal swabs by 5%, and NPS by 1%. Compared to RT-PCR, direct fluorescence antibody tests, viral culture, and rapid antigen tests were 87%, 76%, and 74% sensitive, respectively (pooled specificities all ≥98%). Pooled sensitivity of multiplex versus singleplex RT-PCR was 96%.

CONCLUSIONS: RT-PCR was the most sensitive pediatric RSV diagnostic test. Adding multiple specimens did not substantially increase RSV detection, but even small proportional increases could result in meaningful changes in burden estimates. The synergistic effect of adding multiple specimens should be evaluated.

PMID:37285396 | DOI:10.1093/infdis/jiad185

Proc Natl Acad Sci U S A. 2023 Jun 13;120(24):e2300189120. doi: 10.1073/pnas.2300189120. Epub 2023 Jun 7.

ABSTRACT

Using millions of observations compiled from the public administrative data of Taiwan, we find a surprising gender inequity in terms of real estate: Men own more land than women, and the annual rate of return (ROR) of men’s land outperform women’s by almost 1% per year. The latter finding of gender-based ROR difference is in sharp contrast to prior evidence that women outperform men in security investment, and also suggests a quantity-and-quality double jeopardy in female land ownership which, given the heavy weight of real estate in individual wealth, has important implications for wealth inequality among men and women. Our statistical analyses suggest that such a gender-based difference in land ROR cannot be attributed to individual-level factors such as liquidity preferences, risk attitudes, investment experience, and behavioral biases, as described in the literature. Rather, we hypothesize parental gender bias-a phenomenon that is still prevalent today-to be the key macrolevel factor. To test our hypothesis, we partition our observations into two groups: an experimental group in which parents can exercise gender discretion, and a control group in which parents cannot exercise such discretion. Our empirical evidence shows that the gender difference with respect to land ROR only exists in the experimental group. For many societies with long-lasting patriarchal traditions, our analysis provides a perspective to help explain gender differences in wealth distribution and social mobility.

PMID:37285393 | DOI:10.1073/pnas.2300189120

Am J Speech Lang Pathol. 2023 Jun 7:1-12. doi: 10.1044/2023_AJSLP-22-00393. Online ahead of print.

ABSTRACT

PURPOSE: Voice disorders significantly impair the ability to communicate effectively and reduce the quality of life in older adults; however, its prevalence has not been well established. The aim of our research was to investigate the prevalence and associated factors of voice disorders among the older population.

METHOD: Five medical databases were systematically searched for studies that reported the prevalence of voice disorders in older adults. The overall prevalence was exhibited in proportions and 95% confidence intervals (CIs) utilizing random-effects models. Heterogeneity was measured using I ² statistics.

RESULTS: Of 930 articles screened, 13 fulfilled the eligibility criteria, including 10 studies in community-based settings and three in institutionalized settings. An overall prevalence of voice disorders in older adults was estimated to be 18.79% (95% CI [16.34, 21.37], I ² = 96%). Subgroup analysis showed a prevalence of 33.03% (95% CI [26.85, 39.51], I ² = 35%) in institutionalized older adults, which was significantly higher than that in the community-based older adults with 15.2% (95% CI [12.65, 17.92], I ² = 92%). Some factors that influenced the reported prevalence were identified, including types of survey, the definition of voice disorders, sampling methods, and the mean age of the population among included studies.

CONCLUSIONS: The prevalence of voice disorders in the older population depends on various factors but is relatively common in older adults. The findings of this study accentuate the necessity for researchers to standardize the protocol for reporting geriatric dysphonia as well as for older adults to express their voice-related problems so that they will receive appropriate diagnosis and treatment.

PMID:37285381 | DOI:10.1044/2023_AJSLP-22-00393

PLoS One. 2023 Jun 7;18(6):e0286061. doi: 10.1371/journal.pone.0286061. eCollection 2023.

ABSTRACT

People have used rainwater harvesting (RWH) technology for generations to a considerable extent in semi-arid and arid regions. In addition to meeting domestic needs, this technology can be utilized for agricultural purposes as well as soil and water conservation measures. Modeling the identification of the appropriate pond’s location therefore becomes crucial. This study employs a Geo Information System (GIS) based multi-criteria analysis (MCA) approach and satellite rainfall data, Global Satellite Mapping of Precipitation (GSMaP) to determine the suitable locations for the ponds in a semi-arid area of Indonesia, Liliba watershed, Timor. The criteria for determining the location of the reservoir refer to the FAO and Indonesia’s small ponds guideline. The watershed’s biophysical characteristics and the socioeconomic situation were taken into consideration when selecting the site. According our statistical analysis, the correlation coefficient results of satellite daily precipitation were weak and moderate, but the results were strong and extremely strong for longer time scales (monthly). Our analysis shows that about 13% of the entire stream system is not suitable for ponds, whereas areas that are both good suitability and excellent suitability for ponds make up 24% and 3% of the total stream system. 61% of the locations are partially suited. The results are then verified against simple field observations. Our analysis suggests that there are 13 locations suitable for pond construction. The combination of geospatial data, GIS, a multi-criteria analysis, and a field survey proved effective for the RWH site selection in a semi-arid region with limited data, especially on the first and second order streams.

PMID:37285375 | DOI:10.1371/journal.pone.0286061

PLoS One. 2023 Jun 7;18(6):e0286811. doi: 10.1371/journal.pone.0286811. eCollection 2023.

ABSTRACT

Success in STEM (Science, Technology, Engineering, and Math) remains influenced by race, gender, and socioeconomic status. Here, we focus on the impact of gender on question-asking behavior during the 2021 JOBIM virtual conference (Journées Ouvertes en Biologie et Mathématiques). We gathered quantitative and qualitative data including : demographic information, question asking motivations, live observations and interviews of participants. Quantitative analyses include unprecedented figures such as the fraction of the audience identifying as LGBTQIA+ and an increased attendance of women in virtual conferences. Although parity was reached in the audience, women asked half as many questions as men. This under-representation persisted after accounting for seniority of the asker. Interviews of participants highlighted several barriers to oral expression encountered by women and gender minorities : negative reactions to their speech, discouragement to pursue a career in research, and gender discrimination/sexual harassment. Informed by the study, guidelines for conference organizers have been written. The story behind the making of this study has been highlighted in a Nature Career article.

PMID:37285372 | DOI:10.1371/journal.pone.0286811

PLOS Digit Health. 2023 Jun 7;2(6):e0000260. doi: 10.1371/journal.pdig.0000260. eCollection 2023 Jun.

ABSTRACT

The burden of HIV and related diseases have been areas of great concern pre and post the emergence of COVID-19 in Zimbabwe. Machine learning models have been used to predict the risk of diseases, including HIV accurately. Therefore, this paper aimed to determine common risk factors of HIV positivity in Zimbabwe between the decade 2005 to 2015. The data were from three two staged population five-yearly surveys conducted between 2005 and 2015. The outcome variable was HIV status. The prediction model was fit by adopting 80% of the data for learning/training and 20% for testing/prediction. Resampling was done using the stratified 5-fold cross-validation procedure repeatedly. Feature selection was done using Lasso regression, and the best combination of selected features was determined using Sequential Forward Floating Selection. We compared six algorithms in both sexes based on the F1 score, which is the harmonic mean of precision and recall. The overall HIV prevalence for the combined dataset was 22.5% and 15.3% for females and males, respectively. The best-performing algorithm to identify individuals with a higher likelihood of HIV infection was XGBoost, with a high F1 score of 91.4% for males and 90.1% for females based on the combined surveys. The results from the prediction model identified six common features associated with HIV, with total number of lifetime sexual partners and cohabitation duration being the most influential variables for females and males, respectively. In addition to other risk reduction techniques, machine learning may aid in identifying those who might require Pre-exposure prophylaxis, particularly women who experience intimate partner violence. Furthermore, compared to traditional statistical approaches, machine learning uncovered patterns in predicting HIV infection with comparatively reduced uncertainty and, therefore, crucial for effective decision-making.

PMID:37285368 | DOI:10.1371/journal.pdig.0000260

PLoS One. 2023 Jun 7;18(6):e0276032. doi: 10.1371/journal.pone.0276032. eCollection 2023.

ABSTRACT

Intimate partner violence against women (IPVW) is a pressing social issue which poses a challenge in terms of prevention, legal action, and reporting the abuse once it has occurred. However, a significant number of female victims who file a complaint against their abuser and initiate legal proceedings, subsequently, withdraw charges for different reasons. Research in this field has been focusing on identifying the factors underlying women victims’ decision to disengage from the legal process to enable intervention before this occurs. Previous studies have applied statistical models to use input variables and make a prediction of withdrawal. However, none have used machine learning models to predict disengagement from legal proceedings in IPVW cases. This could represent a more accurate way of detecting these events. This study applied machine learning (ML) techniques to predict the decision of IPVW victims to withdraw from prosecution. Three different ML algorithms were optimized and tested with the original dataset to assess the performance of ML models against non-linear input data. Once the best models had been obtained, explainable artificial intelligence (xAI) techniques were applied to search for the most informative input features and reduce the original dataset to the most important variables. Finally, these results were compared to those obtained in the previous work that used statistical techniques, and the set of most informative parameters was combined with the variables of the previous study, showing that ML-based models had a better predictive accuracy in all cases and that by adding one new variable to the previous work’s predictive model, the accuracy to detect withdrawal improved by 7.5%.

PMID:37285361 | DOI:10.1371/journal.pone.0276032

PLoS One. 2023 Jun 7;18(6):e0286401. doi: 10.1371/journal.pone.0286401. eCollection 2023.

ABSTRACT

The relationship between lifestyles and multimorbidity is well established, but previous studies have often neglected the role of spatial heterogeneity. Thus, this study is the first to explore this association in Chinese adults from a spatial perspective using a geographically weighted logistic regression (GWLR) model and describe the geographical characteristics across different regions. According to 2018 China Health and Retirement Longitudinal Study (CHARLS) database, a total of 7101 subjects were finally included, with 124 prefecture-level administrative regions in China. Non-spatial and GWLR model were used for analysis, and gender stratification analysis was also performed. Data were visualized through ArcGIS 10.7. The results showed that a total prevalence of approximately 5.13% of multimorbidity, and among participants with multimorbidity, the separate prevalence of hypertension, diabetes or high blood sugar, heart disease, and stroke were 4.45%, 2.32%, 3.02%, and 1.41%, respectively. The GWLR model indicated that current (OR: 1.202-1.220) and former smokers (OR: 1.168-1.206) may be important risk factors for multimorbidity in adults, especially in north and west among male. Past drinkers (OR: 1.233-1.240), especially in eastern China, contribute to the development of the multimorbidity in men but not in women. Vigorous-intensity activities (OR: 0.761-0.799) were negatively associated with multimorbidity in the west, with no gender difference. Depression (OR: 1.266-1.293) appeared to increase the risk for multimorbidity, with the weakest effects in central China and no gender difference. There was an interaction between light activities and gender (P = 0.024). The prevalence of multimorbidity differed across various areas of the province. The role of geographical variations in lifestyles and multimorbidity may provide valuable information for developing site-specific intervention strategies.

PMID:37285342 | DOI:10.1371/journal.pone.0286401

PLoS Comput Biol. 2023 Jun 7;19(6):e1011147. doi: 10.1371/journal.pcbi.1011147. eCollection 2023 Jun.

ABSTRACT

Aquatic systems worldwide can exist in multiple ecosystem states (i.e., a recurring collection of biological and chemical attributes), and effectively characterizing multidimensionality will aid protection of desirable states and guide rehabilitation. The Upper Mississippi River System is composed of a large floodplain river system spanning 2200 km and multiple federal, state, tribal and local governmental units. Multiple ecosystem states may occur within the system, and characterization of the variables that define these ecosystem states could guide river rehabilitation. We coupled a long-term (30-year) highly dimensional water quality monitoring dataset with multiple topological data analysis (TDA) techniques to classify ecosystem states, identify state variables, and detect state transitions over 30 years in the river to guide conservation. Across the entire system, TDA identified five ecosystem states. State 1 was characterized by exceptionally clear, clean, and cold-water conditions typical of winter (i.e., a clear-water state); State 2 had the greatest range of environmental conditions and contained most the data (i.e., a status-quo state); and States 3, 4, and 5 had extremely high concentrations of suspended solids (i.e., turbid states, with State 5 as the most turbid). The TDA mapped clear patterns of the ecosystem states across several riverine navigation reaches and seasons that furthered ecological understanding. State variables were identified as suspended solids, chlorophyll a, and total phosphorus, which are also state variables of shallow lakes worldwide. The TDA change detection function showed short-term state transitions based on seasonality and episodic events, and provided evidence of gradual, long-term changes due to water quality improvements over three decades. These results can inform decision making and guide actions for regulatory and restoration agencies by assessing the status and trends of this important river and provide quantitative targets for state variables. The TDA change detection function may serve as a new tool for predicting the vulnerability to undesirable state transitions in this system and other ecosystems with sufficient data. Coupling ecosystem state concepts and TDA tools can be transferred to any ecosystem with large data to help classify states and understand their vulnerability to state transitions.

PMID:37285341 | DOI:10.1371/journal.pcbi.1011147

JNCI Cancer Spectr. 2023 Jun 7:pkad039. doi: 10.1093/jncics/pkad039. Online ahead of print.

ABSTRACT

BACKGROUND: Genetic predispositions may modulate risk for developing neurocognitive late effects in childhood acute lymphoblastic leukemia (ALL) survivors.

METHODS: Long-term ALL survivors (n = 212; 14.3[4.77] years, mean[SD]; 49% female) treated with chemotherapy completed neurocognitive testing and task-based functional neuroimaging (fMRI). Based on previous work from our team, genetic variants related to the folate pathway, glucocorticoid regulation, drug metabolism, oxidative stress, and attention were included as predictors of neurocognitive performance, using multivariable models adjusted for age, race, and sex. Subsequent analyses evaluated the impact of these variants on task-based fMRI. Statistical tests were two-sided.

RESULTS: Survivors exhibited higher rates of impaired attention(20.8%), motor skills(42.2%), visuo-spatial memory(49.3-58.3%), processing speed(20.1%), and executive function(24.3-26.1%) relative to population norms (10%; p’s < 0.001). Genetic variants implicated in attention deficit phenotypes predicted impaired attention span (synaptosome associated protein 25 [SNAP25rs3746544], F(2,172)=4.07, p = 0.019) and motor skills (monoamine oxidase A, [MAOArs1137070], F(2,125)=5.25, p = 0.007). Visuo-spatial memory and processing speed varied as a function of genetic variants in the folate pathway (methylenetetrahydrofolate reductase [MTHFRrs1801133], F(2,165)=3.48, p = 0.033; methylenetetrahydrofolate dehydrogenase 1 [MTHFD1rs2236225], F(2,135)=3.8, p = 0.025; respectively). Executive function performance was modulated by genetic variants in the folate pathway (MTHFD1rs2236225, F(2,158)=3.95, p = 0.021; MTHFD1rs1950902, F(2,154)=5.55, p = 0.005) and glucocorticoid regulation (vitamin D receptor [VDRrs154410], F(2,158)=3.29, p = 0.039; FKBP prolyl isomerase 5 [FKBP5rs1360780], F(2,154)=5.6, p = 0.005). Additionally, MTHFD1rs2236225 and FKBP5rs1360780 were associated with altered brain function during attention and working memory (p < 0.05; FWE corrected).

CONCLUSION: Results extend previous findings of genetic risk of neurocognitive impairment following ALL therapy and highlight the importance of examining genetic modulators in relation to neurocognitive deficits.

PMID:37285328 | DOI:10.1093/jncics/pkad039