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1.
PLoS One ; 19(10): e0309213, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39361657

RESUMO

INTRODUCTION: Maternal and child health, which is integral to public health, depends on maintaining a healthy diet during pregnancy and lactation to achieve optimal outcomes. This study aimed to investigate the prevalence and determinants of minimum dietary diversity (MDD) among pregnant and lactating women (PLW) in this particular context. METHODS: A stratified cluster sampling approach was employed, encompassing intervention areas (Rangpur and Nilphamari in Bangladesh) as strata, with 30 clusters. The study included 631 pregnant and lactating women (PLW) aged 15 to 49 years, focusing on their consumption of a minimally diverse diet. The outcome variable was binary: MDD (1 = if they consumed ≥ 5 food items from a basket of 10 food groups, indicating they met the MDD; 0 = if they consumed < 5 items, indicating they did not meet the MDD), assessed based on ten food groups over a 24-hour period. The data were analyzed using a binary logistic regression model. RESULTS: The study found that 51.19% of PLW met MDD criteria, indicating positive dietary practices. Those aged 21-49 years had significantly lower odds of meeting MDD than those aged 15-20 years. Education played a key role, with completion of primary (p = 0.029) and secondary incomplete education (p = 0.055) associated with higher odds of meeting MDD. Other identified predictors included climate-smart techniques for agriculture, women's empowerment, food security, producing legume, nut and seeds and negative impact on family expenditure due to increase in commodity prices, especially food prices. Employing climate-smart agriculture increased odds by 1.58 times (p = 0.028), empowered women had 2.31 times higher odds (p < 0.001), and food security played a crucial role (p = 0.006). Moreover, producing legumes, nuts, or seeds was significantly associated with higher odds of meeting MDD (OR = 1.55, p = 0.039), while experiencing negative economic impacts lowered the odds (OR = 0.63, p = 0.034). CONCLUSION: The study provides insights into factors influencing MDD among PLW in northern Bangladesh. Empowering women and promoting climate-smart techniques for agriculture emerged as pivotal determinants, alongside enhancing education levels, increasing food security, and addressing economic barriers. Implementing multifaceted interventions that consider socio-demographic diversity, economic disparities, and dietary preferences is crucial for enhancing dietary diversity and improving health outcomes in this vulnerable population.


Assuntos
Dieta , Lactação , Humanos , Feminino , Adulto , Gravidez , Lactação/fisiologia , Pessoa de Meia-Idade , Adolescente , Bangladesh , Adulto Jovem , Gestantes/psicologia
2.
PLoS One ; 19(10): e0311993, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39418288

RESUMO

BACKGROUND: The widespread increase in multiple variants of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) since 2020 is causing significant health concerns worldwide. While whole-genome sequencing (WGS) has played a leading role in surveillance programs, many local laboratories lack the expertise and resources. Thus, we aimed to investigate the circulating SARS-CoV-2 variants and evaluate the performance of multiplexed real-time reverse transcription-PCR (RT-PCR) for screening and monitoring the emergence of new SARS-CoV-2 variants in Bangladesh. METHODS: A total of 600 confirmed SARS-CoV-2-positive cases were enrolled either prospectively or retrospectively from two divisions of Bangladesh. The samples were screened by variant RT-PCR targeting five mutations of the spike gene (N501Y, P681R, L452R, E484K, E484Q). A subsample of the study population was also selected for third-generation sequencing (TGS) and the results were compared to the variant RT-PCR screening. An in-depth comparison was made between the two methods in terms of congruence and cost-benefit. RESULT: Seven variants were detected among samples, with similar distributions of the variants across both divisions. Variant RT-PCR for the targeted mutations lead to a 98.5% call rate; only nine samples failed to be determined. No association was found regarding the demographic features, clinical criteria, or routine RT-PCR Ct values across the variants. The clade diversity of the sequenced subpopulation (n = 99) exhibited similar distributions across the two study sites and other epidemiologic variables. Variant RT-PCR successfully distinguished variants of concern (VOCs) and variants of interest (VOIs); however, 8% discrepancy was observed for the closest lineages. Moreover, the variant RT-PCR represented an ideal balance of cost, time, and accuracy that outweigh their limitations. CONCLUSION: Based on the strong agreement of variant RT-PCR with TGS, such rapid, easily accessible approaches of rapid strain typing are essential in the context of pandemic responses to guide both treatment decisions and public health measures.


Assuntos
COVID-19 , SARS-CoV-2 , Bangladesh/epidemiologia , Humanos , SARS-CoV-2/genética , SARS-CoV-2/isolamento & purificação , COVID-19/epidemiologia , COVID-19/virologia , COVID-19/diagnóstico , Feminino , Masculino , Mutação , Adulto , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Reação em Cadeia da Polimerase em Tempo Real/métodos , Reação em Cadeia da Polimerase Via Transcriptase Reversa/métodos , Pessoa de Meia-Idade , Estudos Retrospectivos , Sequenciamento Completo do Genoma/métodos , Teste de Ácido Nucleico para COVID-19/métodos , Glicoproteína da Espícula de Coronavírus/genética , Estudos Prospectivos
3.
Comput Biol Med ; 182: 109083, 2024 Sep 03.
Artigo em Inglês | MEDLINE | ID: mdl-39232404

RESUMO

In response to the global need for efficient early diagnosis of Autism Spectrum Disorder (ASD), this paper bridges the gap between traditional, time-consuming diagnostic methods and potential automated solutions. We propose a multi-atlas deep ensemble network, MADE-for-ASD, that integrates multiple atlases of the brain's functional magnetic resonance imaging (fMRI) data through a weighted deep ensemble network. Our approach integrates demographic information into the prediction workflow, which enhances ASD diagnosis performance and offers a more holistic perspective on patient profiling. We experiment with the well-known publicly available ABIDE (Autism Brain Imaging Data Exchange) I dataset, consisting of resting state fMRI data from 17 different laboratories around the globe. Our proposed system achieves 75.20% accuracy on the entire dataset and 96.40% on a specific subset - both surpassing reported ASD diagnosis accuracy in ABIDE I fMRI studies. Specifically, our model improves by 4.4 percentage points over prior works on the same amount of data. The model exhibits a sensitivity of 82.90% and a specificity of 69.70% on the entire dataset, and 91.00% and 99.50%, respectively, on the specific subset. We leverage the F-score to pinpoint the top 10 ROI in ASD diagnosis, such as precuneus and anterior cingulate/ventromedial. The proposed system can potentially pave the way for more cost-effective, efficient and scalable strategies in ASD diagnosis. Codes and evaluations are publicly available at https://github.com/hasan-rakibul/MADE-for-ASD.

4.
ACS Omega ; 9(30): 32942-32948, 2024 Jul 30.
Artigo em Inglês | MEDLINE | ID: mdl-39100350

RESUMO

Because of their tunable band gap, flexibility, and high surface-to-volume ratio, two-dimensional materials have appeared as the most promising materials for ultraviolet (UV) light sensors. Here, we report the detection of UV light by oxidized epitaxial graphene (EG) formed on the Si-face of the SiC substrate and graphene oxide (GO) produced by Hummer oxidation of graphite. Both epitaxial graphene oxide (EGO) and GO were characterized by Raman and X-ray photoelectron spectroscopy, and the devices were made simply by placing two parallel copper electrodes onto the graphene oxide layers. Irradiation of UV light onto the graphene oxides was realized by the real-time current measurements between two electrodes at a fixed bias of 1 V. The sudden upward jump of the current (Ids) upon UV light irradiation was observed in both EGO- and GO-based devices, which were returned to the original value, while the UV source was turned OFF. The photocurrent (I ph), the magnitude of the current jump by the UV irradiation, for EGO, was estimated at 8 mA with a channel distance of 2 mm and UV power of 80 mW/cm2. The I phlinearly increases with UV power. In the case of GO, I phwas estimated at 0.2 nA with a similar setup. The photoresponse time and responsivity for EGO are ∼11 s and 5.6 A/W, respectively, which are higher than those of GO. The quantum efficiencies (η) for EGO and GO are calculated as 1907 and 2.3 × 10-6 %, respectively, with an incident power of UV light at 9 mW/cm-2. Because of the advantages of the EG on SiC concerning the stability and wafer scale growth, the present study is expected to lead the development of lab-on-chip-based ultrasensitive UV sensors.

5.
Eur J Microbiol Immunol (Bp) ; 14(3): 272-279, 2024 Sep 11.
Artigo em Inglês | MEDLINE | ID: mdl-39172528

RESUMO

Dengue is a serious epidemic for Bangladesh affecting thousands of lives. This study aimed to identify and determine the prevalence of the circulating variants of dengue virus (DENV) and their association with demographics and clinical manifestations among the dengue-infected patients. A total of 711 participants with NS1 antigen positivity were enrolled, followed by viral RNA extraction from the collected blood samples and a multiplex real-time reverse transcription-polymerase chain reaction (RT-PCR) assay to determine the dengue virus serotypes. Of 711 dengue-infected patients, 503 (70.7%) were male. Among different age groups, most of the patients were 21-30 years old (n = 255, 35.9%). The DENV2 (n = 483, 67.9%) serotype was more prevalent than the DENV3 (n = 144, 20.3%) and DENV1 (n = 84, 11.8%). The duration of fever was highest in the DENV-1 patients (4.79 ± 1.84 days) in contrast to DENV-3 (4.48 ± 1.68 days) and DENV-2 (4.33 ± 1.45 days) (P = 0.039). Importantly, five highly populated areas were identified as dengue hotspots in Chittagong metropolitan city. Our results provide crucial insights into the patterns of dengue virus transmission and severity among southern Bangladeshi population, thereby aiding in the development of targeted public health interventions and management strategies to combat future outbreaks.

7.
Anal Bioanal Chem ; 416(19): 4369-4382, 2024 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-38937289

RESUMO

Humans are exposed to a cocktail of food-related and environmental contaminants, potentially contributing to the etiology of chronic diseases. Better characterizing the "exposome" is a challenging task and requires broad human biomonitoring (HBM). Veterinary drugs (VDs)/antibiotics, widely used and regulated in food and animal production, however, are typically not yet included in exposomics workflows. Therefore, in this work, a previously established multianalyte liquid chromatography-tandem mass spectrometry (LC-MS/MS) method covering >80 diverse xenobiotics was expanded by >40 VDs/antibiotics and pesticides. It was investigated if the generic workflow allowed for the successful integration of a high number of new analytes in a proof-of-principle study. The expanded method was successfully in-house validated and specificity, matrix effects, linearity, intra- and inter-day precision, accuracy, limits of quantification, and detection were evaluated. The optimized method demonstrated satisfactory recovery (81-120%) for most of the added analytes with acceptable RSDs (<20%) at three spiking levels. The majority of VDs/antibiotics and pesticides (69%) showed matrix effects within a range of 50-140%. Moreover, sensitivity was excellent with median LODs and LOQs of 0.10 ng/mL and 0.31 ng/mL, respectively. In total, the expanded method can be used to detect and quantify more than 120 highly diverse analytes in a single analytical run. To the best of the authors' knowledge, this work represents the first targeted biomonitoring method integrating VDs with various other classes of pollutants including plasticizers, PFAS, bisphenols, mycotoxins, and personal care products. It demonstrates the potential to expand targeted multianalyte methods towards additional groups of potentially toxic chemicals.


Assuntos
Monitoramento Biológico , Praguicidas , Drogas Veterinárias , Animais , Humanos , Monitoramento Biológico/métodos , Expossoma , Limite de Detecção , Espectrometria de Massa com Cromatografia Líquida , Praguicidas/análise , Reprodutibilidade dos Testes , Espectrometria de Massas em Tandem/métodos , Drogas Veterinárias/análise
8.
Blood Press ; 33(1): 2339434, 2024 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-38696746

RESUMO

Objective: The study aimed to assess health-seeking behaviour (HSB) and associated factors among hypertensive patients in Bangladesh.Methods: This cross-sectional study was conducted in the Hypertension & Research Centre, Rangpur, Bangladesh, between January 2022 and June 2022. A total of 497 hypertensive adults were recruited consecutively. A pre-tested structured questionnaire was deployed by the research team for data collection. Multivariable logistic regression analysis was used to explore the predictors of HSB.Results: The mean age of the hypertensive patients was 52 ± 11 (SD) years. Most of them were aged between 51 and 60 years (33%), female (55%), came from rural areas (57%), and belonged to middle socioeconomic class (68%). One-fourth of the patients (27%) had chosen informal healthcare providers for their first consultation. Fear of stroke (244, 45%), headache (170, 36%), and neck pain (81, 17%) were the three most common compelling causes of their visit to the hypertension centre. Age (aOR 0.78, 95% CI 0.68 - 0.89), male sex (aOR: 1.79, 95% CI 1.05 - 3.10), living in semi-urban (aOR 4.68, 95% CI 1.45 - 15.10) and rural area (aOR 1.68, 95% CI 1.01 - 2.80), farmers as occupation (aOR: 3.24, 95%CI: 1.31 - 8.06) and belonging to lower social economic class (aOR 4.24, 95% CI 1.68 - 10.69) were predictors of visiting informal providers of hypertensive patient. One-fourth of the hypertensive patients received consultation from informal healthcare providers.Conclusions: Raising awareness among patients and proper referral to specialised hypertension centres could promulgate the patients towards appropriate behaviour.


Assuntos
Hipertensão , Aceitação pelo Paciente de Cuidados de Saúde , Humanos , Hipertensão/epidemiologia , Hipertensão/psicologia , Pessoa de Meia-Idade , Feminino , Masculino , Bangladesh/epidemiologia , Estudos Transversais , Adulto , Aceitação pelo Paciente de Cuidados de Saúde/estatística & dados numéricos , Inquéritos e Questionários , Idoso
9.
Epidemiol Infect ; 152: e52, 2024 Mar 18.
Artigo em Inglês | MEDLINE | ID: mdl-38497497

RESUMO

Hepatitis E virus (HEV) is a major cause of acute jaundice in South Asia. Gaps in our understanding of transmission are driven by non-specific symptoms and scarcity of diagnostics, impeding rational control strategies. In this context, serological data can provide important proxy measures of infection. We enrolled a population-representative serological cohort of 2,337 individuals in Sitakunda, Bangladesh. We estimated the annual risks of HEV infection and seroreversion both using serostatus changes between paired serum samples collected 9 months apart, and by fitting catalytic models to the age-stratified cross-sectional seroprevalence. At baseline, 15% (95 CI: 14-17%) of people were seropositive, with seroprevalence highest in the relatively urban south. During the study, 27 individuals seroreverted (annual seroreversion risk: 15%, 95 CI: 10-21%), and 38 seroconverted (annual infection risk: 3%, 95CI: 2-5%). Relying on cross-sectional seroprevalence data alone, and ignoring seroreversion, underestimated the annual infection risk five-fold (0.6%, 95 CrI: 0.5-0.6%). When we accounted for the observed seroreversion in a reversible catalytic model, infection risk was more consistent with measured seroincidence. Our results quantify HEV infection risk in Sitakunda and highlight the importance of accounting for seroreversion when estimating infection incidence from cross-sectional seroprevalence data.


Assuntos
Vírus da Hepatite E , Hepatite E , Humanos , Bangladesh/epidemiologia , Estudos Soroepidemiológicos , Estudos Transversais , Anticorpos Anti-Hepatite
10.
Heliyon ; 10(3): e25005, 2024 Feb 15.
Artigo em Inglês | MEDLINE | ID: mdl-38317940

RESUMO

Background: Bangladesh has improved maternal and child health, but healthcare indicators and access still need enhancement. Factors that contribute to increased antenatal care (ANC) need to be explored to inform healthcare policies. The study examined whether community-level (supply-side) predictors outperform individual/family-level (demand-side) predictors for the desired number of ANC services. Methods: This cross-sectional study collected primary data from 630 pregnant and lactating women (PLW) in seven upazilas in Rangpur and Nilphamari districts of Bangladesh in 2022. The individual/family and community-level factors as predictors of desired antenatal care services were investigated using a semi-structured questionnaire. Various statistical techniques including the Student t-test, z-test, Chi-square test, and logistic regression model were employed in analyzing the data. Results: Out of the total 630 participants, the majority were literate women who belong to higher pregnancy order and received benefits from SSNPs. In addition to this, these women did not earn and neither were the empowered. The outcome variable was the receiving status of 4+ ANC services by PLWs, which varied by different covariates. The desired 4+ ANC service received by 73 % PLWs. The significant (p < 0.05) predictors of receiving 4+ ANC services were secondary-level education (95 % CI:0.97-7.55), knowledge on danger signs (95 % CI:1.02-1.48), empowered women (95 % CI:0.99-2.69), community clinics as place of services (95 % CI:1.52-3.49), sources of information through SMS (95 % CI:2.63-7.04) and fully functional community clinic (95 % CI:1.0-2.347). The statistical evidence through the values of pseudo R2 of the reduced models of community level (0.09), individual level (0.03) and family level (0.01) revealed that the community level predictors are more influential than individual/family level predictors. Conclusion: The findings indicate that community level predictors played a dominant role in receiving the 4+ ANC services in Bangladesh. In short, the well-functioning of community clinics in tandem with government forums/bodies and awareness raising through SMS messages, are sufficient for ensuring the desired number of ANC services in rural areas of Bangladesh.

11.
Nat Med ; 30(3): 888-895, 2024 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-38378884

RESUMO

Our understanding of cholera transmission and burden largely relies on clinic-based surveillance, which can obscure trends, bias burden estimates and limit the impact of targeted cholera-prevention measures. Serological surveillance provides a complementary approach to monitoring infections, although the link between serologically derived infections and medically attended disease incidence-shaped by immunological, behavioral and clinical factors-remains poorly understood. We unravel this cascade in a cholera-endemic Bangladeshi community by integrating clinic-based surveillance, healthcare-seeking and longitudinal serological data through statistical modeling. Combining the serological trajectories with a reconstructed incidence timeline of symptomatic cholera, we estimated an annual Vibrio cholerae O1 infection incidence rate of 535 per 1,000 population (95% credible interval 514-556), with incidence increasing by age group. Clinic-based surveillance alone underestimated the number of infections and reported cases were not consistently correlated with infection timing. Of the infections, 4 in 3,280 resulted in symptoms, only 1 of which was reported through the surveillance system. These results impart insights into cholera transmission dynamics and burden in the epicenter of the seventh cholera pandemic, where >50% of our study population had an annual V. cholerae O1 infection, and emphasize the potential for a biased view of disease burden and infection risk when depending solely on clinical surveillance data.


Assuntos
Cólera , Vibrio cholerae , Humanos , Cólera/epidemiologia , Incidência
12.
Comput Biol Chem ; 108: 108002, 2024 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-38061169

RESUMO

Agricultural pest identification is a prerequisite for increasing crop production and meeting global food demands. Generally, numerous phenotypic and genotypic features are widely utilized for species-level pest identification. However, the approaches are time-consuming and require expert knowledge in relevant fields. Numerous image-based machine learning (ML) models also exist to identify insect pests in agricultural fields. The models are significantly rely on a large, manually curated dataset and are close-set in nature. Our study aims to develop an open set pest identification approach by adding the capability of rejecting any irrelevant inputs. Tephritid fruit flies (Diptera:Tephritidae) are considered as an example since they are the most economically important agricultural pests worldwide. Images of the fruit flies were collected from a publicly available database and filtered to exclude uninformative images using a deep learning model (Inception-V3) and an unsupervised k-means clustering method. For the closed-set identification task, our EfficientNet-B2 model classified four major genera of notorious tephritid flies, namely, Anastrepha, Ceratitis, Rhagoletis, and Bactrocera with an accuracy of 89.65%. We further improvise our proposed model for open-set recognition tasks to leverage the identification beyond the trained datasets. The open set model achieved an overall accuracy of 86.48% and a macro F1-score of 94.44% on the four genera and an unknown class. Our proposed model can be a practical and effective pest identification tool for harmful fruit flies. In addition, the model is easy to implement with existing agricultural pest control systems in an open-world scenario.


Assuntos
Tephritidae , Animais , Insetos , Bases de Dados Factuais , Genótipo
13.
Heliyon ; 9(12): e22795, 2023 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-38125431

RESUMO

A biosensor specifically engineered to detect glycated albumin (GA), a critical biomarker for diabetes monitoring, is presented. Unlike conventional GA monitoring methods, the biosensor herein uniquely employs localised surface plasmon resonance (LSPR) for signal transduction, leveraging a novel fabrication process where gold nanoparticles are deposited on a quartz substrate using flame spray pyrolysis. This enables the biosensor to provide mean glucose levels over a three-week period, correlating with the glycation status of diabetes patients. The sensor's DNA aptamer conjugation selectively binds GA, inducing a plasmonic wavelength shift; resulting in a detection limit of 0.1 µM, well within the human GA range of 20-240 µM. Selectivity experiments with diverse molecules and an exploration of sensor reusability were carried out with positive results. The novelty of the biosensor presented includes specificity, sensitivity and practical applicability; which is promising for enhanced diabetes diagnosis using a rapid and inexpensive process.

14.
Heliyon ; 9(10): e19901, 2023 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-37810850

RESUMO

In this study, water levels resulting from the dynamic interaction of tide and surge are estimated by solving a 2-D vertically integrated shallow water equations numerically. To solve the equations on the specific 2-D grid, the explicit Leapfrog scheme is implemented, adopting a staggered Arakawa C-grid. The domain's complex land-sea interface is approximated through the stair-step method in order to employ the finite difference technique. To incorporate the complexity of the domain with a considerably high accuracy and to reduce computational cost, one-way nested grid models are embraced. The Meghna River freshwater discharge is incorporated into the innermost child model. A stable tidal regime over the region of interest is generated by applying the four vital tidal constituents, namely M2 (principal lunar semidiurnal), S2 (principal solar semidiurnal), O1 (principal lunar diurnal) and K1 (luni-solar diurnal) in the southern open boundary of the outermost model. This previously effectuated tidal regime is used as the initial state of the sea in getting total water levels due to the dynamic interaction of tide and surge. Numerical experiments are performed with the storm AILA that hit the coast of Bangladesh on May 25, 2009. The simulated results are found to closely match observed and reported data.

15.
Blood Adv ; 7(21): 6553-6566, 2023 11 14.
Artigo em Inglês | MEDLINE | ID: mdl-37611161

RESUMO

The adenosine triphosphate (ATP)-dependent chromatin remodeling complex, SWItch/Sucrose Non-Fermentable (SWI/SNF), has been implicated in normal hematopoiesis. The AT-rich interaction domain 1B (ARID1B) and its paralog, ARID1A, are mutually exclusive, DNA-interacting subunits of the BRG1/BRM-associated factor (BAF) subclass of SWI/SNF complex. Although the role of several SWI/SNF components in hematopoietic differentiation and stem cell maintenance has been reported, the function of ARID1B in hematopoietic development has not been defined. To this end, we generated a mouse model of Arid1b deficiency specifically in the hematopoietic compartment. Unlike the extensive phenotype observed in mice deficient in its paralog, ARID1A, Arid1b knockout (KO) mice exhibited a modest effect on steady-state hematopoiesis. Nonetheless, transplantation experiments showed that the reconstitution of myeloid cells in irradiated recipient mice was dependent on ARID1B. Furthermore, to assess the effect of the complete loss of ARID1 proteins in the BAF complex, we generated mice lacking both ARID1A and ARID1B in the hematopoietic compartment. The double-KO mice succumbed to acute bone marrow failure resulting from complete loss of BAF-mediated chromatin remodeling activity. Our Assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) analyses revealed that >80% of loci regulated by ARID1B were distinct from those regulated by ARID1A; and ARID1B controlled expression of genes crucial in myelopoiesis. Overall, loss of ARID1B affected chromatin dynamics in murine hematopoietic stem and progenitor cells, albeit to a lesser extent than cells lacking ARID1A.


Assuntos
Hematopoese , Proteínas Nucleares , Animais , Camundongos , Diferenciação Celular/genética , Cromatina , Hematopoese/genética , Proteínas Nucleares/genética , Proteínas Nucleares/metabolismo
16.
medRxiv ; 2023 Jul 23.
Artigo em Inglês | MEDLINE | ID: mdl-37502941

RESUMO

Our understanding of cholera transmission and burden largely rely on clinic-based surveillance, which can obscure trends, bias burden estimates and limit the impact of targeted cholera-prevention measures. Serologic surveillance provides a complementary approach to monitoring infections, though the link between serologically-derived infections and medically-attended disease - shaped by immunological, behavioral, and clinical factors - remains poorly understood. We unravel this cascade in a cholera-endemic Bangladeshi community by integrating clinic-based surveillance, healthcare seeking, and longitudinal serological data through statistical modeling. We found >50% of the study population had a V. cholerae O1 infection annually, and infection timing was not consistently correlated with reported cases. Four in 2,340 infections resulted in symptoms, only one of which was reported through the surveillance system. These results provide new insights into cholera transmission dynamics and burden in the epicenter of the 7th cholera pandemic and provide a framework to synthesize serological and clinical surveillance data.

17.
Sci Rep ; 13(1): 3742, 2023 03 06.
Artigo em Inglês | MEDLINE | ID: mdl-36879019

RESUMO

Optoelectric biosensors measure the conformational changes of biomolecules and their molecular interactions, allowing researchers to use them in different biomedical diagnostics and analysis activities. Among different biosensors, surface plasmon resonance (SPR)-based biosensors utilize label-free and gold-based plasmonic principles with high precision and accuracy, allowing these gold-based biosensors as one of the preferred methods. The dataset generated from these biosensors are being used in different machine learning (ML) models for disease diagnosis and prognosis, but there is a scarcity of models to develop or assess the accuracy of SPR-based biosensors and ensure a reliable dataset for downstream model development. Current study proposed innovative ML-based DNA detection and classification models from the reflective light angles on different gold surfaces of biosensors and associated properties. We have conducted several statistical analyses and different visualization techniques to evaluate the SPR-based dataset and applied t-SNE feature extraction and min-max normalization to differentiate classifiers of low-variances. We experimented with several ML classifiers, namely support vector machine (SVM), decision tree (DT), multi-layer perceptron (MLP), k-nearest neighbors (KNN), logistic regression (LR) and random forest (RF) and evaluated our findings in terms of different evaluation metrics. Our analysis showed the best accuracy of 0.94 by RF, DT and KNN for DNA classification and 0.96 by RF and KNN for DNA detection tasks. Considering area under the receiver operating characteristic curve (AUC) (0.97), precision (0.96) and F1-score (0.97), we found RF performed best for both tasks. Our research shows the potentiality of ML models in the field of biosensor development, which can be expanded to develop novel disease diagnosis and prognosis tools in the future.


Assuntos
Benchmarking , Ressonância de Plasmônio de Superfície , DNA , Ouro , Aprendizado de Máquina
18.
BMC Bioinformatics ; 24(1): 7, 2023 Jan 06.
Artigo em Inglês | MEDLINE | ID: mdl-36609221

RESUMO

BACKGROUND: With the global spread of COVID-19, the world has seen many patients, including many severe cases. The rapid development of machine learning (ML) has made significant disease diagnosis and prediction achievements. Current studies have confirmed that omics data at the host level can reflect the development process and prognosis of the disease. Since early diagnosis and effective treatment of severe COVID-19 patients remains challenging, this research aims to use omics data in different ML models for COVID-19 diagnosis and prognosis. We used several ML models on omics data of a large number of individuals to first predict whether patients are COVID-19 positive or negative, followed by the severity of the disease. RESULTS: On the COVID-19 diagnosis task, we got the best AUC of 0.99 with our multilayer perceptron model and the highest F1-score of 0.95 with our logistic regression (LR) model. For the severity prediction task, we achieved the highest accuracy of 0.76 with an LR model. Beyond classification and predictive modeling, our study founds ML models performed better on integrated multi-omics data, rather than single omics. By comparing top features from different omics dataset, we also found the robustness of our model, with a wider range of applicability in diverse dataset related to COVID-19. Additionally, we have found that omics-based models performed better than image or physiological feature-based models, proving the importance of the omics-based dataset for future model development. CONCLUSIONS: This study diagnoses COVID-19 positive cases and predicts accurate severity levels. It lowers the dependence on clinical data and professional judgment, by leveraging the utilization of state-of-the-art models. our model showed wider applicability across different omics dataset, which is highly transferable in other respiratory or similar diseases. Hospital and public health care mechanisms can optimize the distribution of medical resources and improve the robustness of the medical system.


Assuntos
Teste para COVID-19 , COVID-19 , Humanos , COVID-19/diagnóstico , Aprendizado de Máquina , Redes Neurais de Computação , Modelos Logísticos
19.
Nat Hazards (Dordr) ; 115(1): 507-537, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36061077

RESUMO

Cyclone Amphan battered the coastal communities in the southwestern part of Bangladesh in 2020 during the COVID-19 pandemic. These coastal communities were experiencing such a situation for the first time and faced the dilemma of whether to stay at home and embrace the cyclone or be exposed to the COVID-19 virus in the cyclone shelters by evacuating. This article intends to explore individuals' decisions regarding whether to evacuate in response to cyclone Amphan and in light of the risks of the COVID-19 pandemic. Consequently, this study investigated evacuation behaviors among the households and explored the impacts of COVID-19 during the evacuation procedures. We conducted household surveys to collect primary information and undertook 378 samples for interviews at a precision level of 0.05 in fourteen villages. Despite the utmost effort of the government, the results demonstrated that 96.6% of people in the coastal area received a cyclone evacuation order before the cyclone's landfall, and only 42% of people followed the evacuation order. The majority of households chose to stay at home because of fear of COVID-19 exposure in the crowded shelters. Although half of the evacuees were housed in cyclone shelters, COVID-19 preventive measures were apparently not set in place. Thus, this study will assist in crafting future government policies to enhance disaster evacuation plans by providing insights from the pandemic that can inform disaster management plans in the Global South.

20.
Front Immunol ; 14: 1309997, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-38173725

RESUMO

Background: Understanding the characteristics of the humoral immune responses following COVID-19 vaccinations is crucial for refining vaccination strategies and predicting immune responses to emerging SARS-CoV-2 variants. Methods: A longitudinal analysis of SARS-CoV-2 spike receptor binding domain (RBD) specific IgG antibody responses, encompassing IgG subclasses IgG1, IgG2, IgG3, and IgG4 was performed. Participants received four mRNA vaccine doses (group 1; n=10) or two ChAdOx1 nCoV-19 and two mRNA booster doses (group 2; n=19) in Bangladesh over two years. Results: Findings demonstrate robust IgG responses after primary Covishield or mRNA doses; declining to baseline within six months. First mRNA booster restored and surpassed primary IgG responses but waned after six months. Surprisingly, a second mRNA booster did not increase IgG levels further. Comprehensive IgG subclass analysis showed primary Covishield/mRNA vaccination generated predominantly IgG1 responses with limited IgG2/IgG3, Remarkably, IgG4 responses exhibited a distinct pattern. IgG4 remained undetectable initially but increased extensively six months after the second mRNA dose, eventually replacing IgG1 after the 3rd/4th mRNA doses. Conversely, initial Covishield recipients lack IgG4, surged post-second mRNA booster. Notably, mRNA-vaccinated individuals displayed earlier, robust IgG4 levels post first mRNA booster versus Covishield counterparts. IgG1 to IgG4 ratios decreased with increasing doses, most pronounced with four mRNA doses. This study highlights IgG response kinetics, influenced by vaccine type and doses, impacting immunological tolerance and IgG4 induction, shaping future vaccination strategies. Conclusions: This study highlights the dynamics of IgG responses dependent on vaccine type and number of doses, leading to immunological tolerance and IgG4 induction, and shaping future vaccination strategies.


Assuntos
COVID-19 , Imunoglobulina G , Humanos , ChAdOx1 nCoV-19 , SARS-CoV-2 , COVID-19/prevenção & controle , Vacinação , Anticorpos Antivirais , RNA Mensageiro
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