MethodsX最新文献_第10页

Multimodal measurement of music engagement in a natural setting for infants, young children and parents

IF 1.6

MethodsX Pub Date : 2024-12-12 DOI: 10.1016/j.mex.2024.103105

Yukari Tanaka, Françoise Diaz-Rojas, Masako Myowa

{"title":"Multimodal measurement of music engagement in a natural setting for infants, young children and parents","authors":"Yukari Tanaka, Françoise Diaz-Rojas, Masako Myowa","doi":"10.1016/j.mex.2024.103105","DOIUrl":"10.1016/j.mex.2024.103105","url":null,"abstract":"<div><div>To elucidate the breadth of their behavioral diversity, it is necessary to study the behavioral and physiological dynamics in human beings in natural settings instead of focusing solely on specific behaviors that are observed in controlled experiments. In natural contexts, musical activities (e.g., listening, singing, dancing, and playing musical instruments) are universal and integral to daily life in many cultures. Infants communicate with others through music even before they speak, leading to their social development. Young children engage in musical activities at home and in preschool settings with parents and other caregivers. However, the physiological and motor characteristics that underlie behavioral responses to musical activities remain largely unexplored. It is a major challenge to quantify physiological and motor dynamics without the imposition of physical constraints, such as those imposed by neuroimaging, which requires limitations to bodily movements. Here, we developed a methodology to capture physiological and motor dynamics in musical engagement for both children and their parents, using simultaneous multimodal measurement systems. Our index includes heartrates, body movements, and reports of subjective emotional feelings (for parents). These measurements allow us to integrate indices, visualizing individual or pairwise variations in the physiological and motor characteristics associated with responses to musical activities. (200/200)<ul><li><span>•</span><span><div>We developed systems to measure heart rate, movement and emotional responses in parents, infants and young children during musical activity.</div></span></li><li><span>•</span><span><div>We configured it to measure multimodal indices non-invasively and without physical constraints.</div></span></li><li><span>•</span><span><div>This will contribute to the elucidation of individual and pair variations in physiological dynamics in the natural environment.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103105"},"PeriodicalIF":1.6,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096623","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}

引用次数: 0

Effects of mosquito-proofing storm drains on adult and larval mosquito abundance: Protocol of the IDAlErt storm drAin randomiSed controlled trial (IDEAS)

IF 1.6

MethodsX Pub Date : 2024-12-11 DOI: 10.1016/j.mex.2024.103102

Marina Treskova , Tomás Montalvo , Joacim Rocklöv , Charles Hatfield , Frederic Bartumeus , Shouro Dasgupta , João Encarnação , Rachel Lowe , Jan C. Semenza , Pascale Stiles , Jordi Noya , Andrea Valsecchi , Till Bärnighausen , John R.B. Palmer , Aditi Bunker

{"title":"Effects of mosquito-proofing storm drains on adult and larval mosquito abundance: Protocol of the IDAlErt storm drAin randomiSed controlled trial (IDEAS)","authors":"Marina Treskova , Tomás Montalvo , Joacim Rocklöv , Charles Hatfield , Frederic Bartumeus , Shouro Dasgupta , João Encarnação , Rachel Lowe , Jan C. Semenza , Pascale Stiles , Jordi Noya , Andrea Valsecchi , Till Bärnighausen , John R.B. Palmer , Aditi Bunker","doi":"10.1016/j.mex.2024.103102","DOIUrl":"10.1016/j.mex.2024.103102","url":null,"abstract":"<div><div><em>Aedes</em> and <em>Culex</em> mosquitoes, known for spreading arboviruses like dengue and West Nile, thrive in cities, posing health risks to urban populations. Climate change can create suitable climatic conditions for these vectors to spread further in Europe. Cities contain numerous landscape and infrastructure elements, such as storm drains, that allow stagnant water build-up, facilitating mosquito breeding. Modifying urban infrastructure to prevent water accumulation can reduce mosquito populations, but evidence is limited. The Agència de Salut Pública de Barcelona (ASPB), which is the public health agency of Barcelona, Spain, recently introduced a structural modification of storm drains to prevent water accumulation. Together with the ASPB, we designed a randomised controlled trial (RCT) to experimentally assess the effectiveness of these modifications on adult <em>Aedes albopictus</em> and <em>Culex pipiens</em> populations. Using a parallel-arm RCT, we equally randomized 44 drains to receive mosquito-proofing modifications (intervention) or not (control). We measured adult mosquito counts as the primary outcome and adult and larvae presence as secondary outcomes, sampling each drain weekly from June through November 2023. We will use generalised linear mixed models to estimate the time-averaged and peak mosquito month intervention effects, and conducted complimentary subgroup and sensitivity analyses. The trial results will guide potential city-wide expansion of storm drain modifications and provide valuable evidence to enhance existing vector control measures.</div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103102"},"PeriodicalIF":1.6,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11755014/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143028313","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}

引用次数: 0

A novel computational method for rodent electrographic recording and analysis using off-the-shelf intracerebral depth electrodes 一种利用现成的脑内深度电极进行啮齿动物电记录和分析的新型计算方法。

IF 1.6

MethodsX Pub Date : 2024-12-11 DOI: 10.1016/j.mex.2024.103106

Cora Helton , Nicole Rodgers , Payton Klosa , Erik Van Newenhizen , Matt Hodges , Matt Jones , Kunal Gupta

{"title":"A novel computational method for rodent electrographic recording and analysis using off-the-shelf intracerebral depth electrodes","authors":"Cora Helton , Nicole Rodgers , Payton Klosa , Erik Van Newenhizen , Matt Hodges , Matt Jones , Kunal Gupta","doi":"10.1016/j.mex.2024.103106","DOIUrl":"10.1016/j.mex.2024.103106","url":null,"abstract":"<div><div>Electrographic recording of brain activity through either surface electrodes (electroencephalography, EEG) or implanted electrodes (electrocorticography, ECOG) are valuable research tools in neuroscience across many disciplines, including epilepsy, sleep science and more. Research techniques to perform recordings in rodents are wide-ranging and often require custom parts that may not be readily available. Moreover, the information required to connect individual components is often limited and can therefore be challenging to implement. The quantity of data obtained can also be large and therefore difficult to analyze manually, and existing software detection tools are often task specific and require extensive coding experience to use. In this methods paper, we provide step-by-step instructions using off-the-shelf parts for electrographic recording in mice using intracerebral depth electrodes. We also provide a novel software-based detection tool that requires limited prior coding knowledge to use and with detection parameters that can be easily customized. The method is summarized as follows:<ul><li><span>•</span><span><div>The electrode unit is assembled and implanted;</div></span></li><li><span>•</span><span><div>Recordings are obtained and analyzed using the novel software tool;</div></span></li><li><span>•</span><span><div>This method was validated using recordings taken during status epilepticus and chronic epilepsy in the intrahippocampal kainate mouse model of temporal lobe epilepsy</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103106"},"PeriodicalIF":1.6,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11714666/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142951255","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}

引用次数: 0

A new data science trajectory for analysing multiple studies: a case study in physical activity research 分析多项研究的新数据科学轨迹：体育活动研究的案例研究。

IF 1.6

MethodsX Pub Date : 2024-12-11 DOI: 10.1016/j.mex.2024.103104

Simone Catharina Maria Wilhelmina Tummers , Arjen Hommersom , Catherine Bolman , Lilian Lechner , Roger Bemelmans

{"title":"A new data science trajectory for analysing multiple studies: a case study in physical activity research","authors":"Simone Catharina Maria Wilhelmina Tummers , Arjen Hommersom , Catherine Bolman , Lilian Lechner , Roger Bemelmans","doi":"10.1016/j.mex.2024.103104","DOIUrl":"10.1016/j.mex.2024.103104","url":null,"abstract":"<div><div>The analysis of complex mechanisms within population data, and within sub-populations, can be empowered by combining datasets, for example to gain more understanding of change processes of health-related behaviours. Because of the complexity of this kind of research, it is valuable to provide more specific guidelines for such analyses than given in standard data science methodologies. Thereto, we propose a generic procedure for applied data science research in which the data from multiple studies are included. Furthermore, we describe its steps and associated considerations in detail to guide other researchers. Moreover, we illustrate the application of the described steps in our proposed procedure (presented in the graphical abstract) by means of a case study, i.e., a physical activity (PA) intervention study, in which we provided new insights into PA change processes by analyzing an integrated dataset using Bayesian networks. The strengths of our proposed methodology are subsequently illustrated, by comparing this data science trajectories protocol to the classic CRISP-DM procedure. Finally, some possibilities to extend the methodology are discussed.<ul><li><span>–</span><span><div>A detailed process description for multidisciplinary data science research on multiple studies.</div></span></li><li><span>–</span><span><div>Examples from a case study illustrate methodological key points.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103104"},"PeriodicalIF":1.6,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11719409/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142971135","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}

引用次数: 0

Comparative analysis and enhancing rainfall prediction models for monthly rainfall prediction in the Eastern Thailand 泰国东部月降水预报的比较分析和改进模式。

IF 1.6

MethodsX Pub Date : 2024-12-10 DOI: 10.1016/j.mex.2024.103094

Preeyanuch Chuasuk , Tachanat Bhatrasataponkul , Aniruj Akkarapongtrakul

{"title":"Comparative analysis and enhancing rainfall prediction models for monthly rainfall prediction in the Eastern Thailand","authors":"Preeyanuch Chuasuk , Tachanat Bhatrasataponkul , Aniruj Akkarapongtrakul","doi":"10.1016/j.mex.2024.103094","DOIUrl":"10.1016/j.mex.2024.103094","url":null,"abstract":"<div><div>Rainfall prediction is a crucial aspect of climate science, particularly in monsoon-influenced regions where accurate forecasts are essential. This study evaluates rainfall prediction models in the Eastern Thailand by examining an optimal lag time associated with the Oceanic Niño Index (ONI). Five deep learning models—RNN with ReLU, LSTM, GRU (single-layer), LSTM+LSTM, and LSTM+GRU (multi-layer)—were compared using mean absolute error (MAE) and root mean square error (RMSE). A novel hybrid deep learning model was developed with respect to different conditions of the El Niño and Southern Oscillation (ENSO).<ul><li><span>-</span><span><div>Our research compared the performance of five deep learning models in predicting monthly rainfall over five selected stations in the Eastern Thailand.</div></span></li><li><span>-</span><span><div>Different lag times were initially verified to optimize the time-interdependency between ONI and local meteorological parameters.</div></span></li><li><span>-</span><span><div>Our novel hybrid model demonstrated an improved accuracy across three distinct climate phases: El Niño, La Niña, and neutral events.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103094"},"PeriodicalIF":1.6,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11718337/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142971358","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}

引用次数: 0

Fabrication and optimization of a multielectrode microfluidic electrochemical flow cell for fast and dynamic detection of reaction products 用于反应产物快速动态检测的多电极微流控电化学流动电池的制造与优化。

IF 1.6

MethodsX Pub Date : 2024-12-10 DOI: 10.1016/j.mex.2024.103096

Espen Vinge Fanavoll , David A. Harrington , Svein Sunde , Frode Seland

{"title":"Fabrication and optimization of a multielectrode microfluidic electrochemical flow cell for fast and dynamic detection of reaction products","authors":"Espen Vinge Fanavoll , David A. Harrington , Svein Sunde , Frode Seland","doi":"10.1016/j.mex.2024.103096","DOIUrl":"10.1016/j.mex.2024.103096","url":null,"abstract":"<div><div>Construction and experimental validation of electrochemical cells with multiple electrodes in a microfluidic channel is described. Details of the fabrication of the electrodes and polydimethylsiloxane channel using soft lithography methods are given. Calibration of the collection efficiencies and transit times between electrodes validate the use of these cells for fast electrochemical detection of soluble species. Mass transit times between two electrodes down to 3 ms with a flow rate of 200 µL min<sup>-1</sup> are demonstrated. We demonstrate that there is an upper limit in the electrode width to channel height ratio depending on the electrolyte conductivity. A recommendation for the maximum electrode width to channel height ratio is presented. The electrode width is recommended to not exceed four times the height of the channel in 0.1 M H<sub>2</sub>SO<sub>4</sub>. We also demonstrate operating strategies to minimize the impact of oxygen in air, optimization of stepping motor syringe pump parameters, electrolyte switching, and show how to deposit catalyst particles on a channel electrode.<ul><li><span>•</span><span><div>Fabrication methods are given for all components of microfluidic flow cells with multiple electrodes</div></span></li><li><span>•</span><span><div>Conditions are given for improved operation, including geometry, pumping, and electrical parameters.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103096"},"PeriodicalIF":1.6,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11719412/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142971471","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}

引用次数: 0

A hybrid model for refining gross primary productivity estimation by integrating multiple environmental factors 综合多种环境因素，改进总初级生产力估算的混合模型。

IF 1.6

MethodsX Pub Date : 2024-12-09 DOI: 10.1016/j.mex.2024.103091

Zhilong Li , Ziti Jiao , Zheyou Tan , Chenxia Wang , Jing Guo , Sizhe Chen , Ge Gao , Fangwen Yang , Xin Dong

{"title":"A hybrid model for refining gross primary productivity estimation by integrating multiple environmental factors","authors":"Zhilong Li , Ziti Jiao , Zheyou Tan , Chenxia Wang , Jing Guo , Sizhe Chen , Ge Gao , Fangwen Yang , Xin Dong","doi":"10.1016/j.mex.2024.103091","DOIUrl":"10.1016/j.mex.2024.103091","url":null,"abstract":"<div><div>Environmental factors lead mainly to the uncertainty of gross primary productivity estimation in most light use efficiency (LUE, ε) models since the simple physical formulas are inadequate to fully express the overall constraint of diverse environmental factors on the maximum ε (ε<sub>max</sub>). In contrast, machine learning has the natural potential to detect intricate patterns and relationships among various environmental variables. Here, we presented a hybrid model (TL-CRF) that utilizes the random forest (RF) technique to incorporate various ecological stress factors into the two-leaf LUE (TL-LUE) model, meanwhile, seasonal differences in the clumping index (CI) on a global scale are considered to adjust seasonal patterns of canopy structure. The comprehensive integration of complex environmental variables based on this RF submodule is conducive to scaling theoretical ε<sub>max</sub> to actual ε as much as possible. The proposed TL-CRF model considerably improves global GPP estimation by complementing innate advantages between the process-based and data-driven models.<ul><li><span>•</span><span><div>The seasonal CI averages in different stages of the leaf life cycle are estimated for different vegetation types on a global scale.</div></span></li><li><span>•</span><span><div>Various environmental stress factors are integrated via the RF technique.</div></span></li><li><span>•</span><span><div>The RF submodule is embedded into the TL-LUE model to establish a hybrid model.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103091"},"PeriodicalIF":1.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683257/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142915044","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}

引用次数: 0

Hybrid neural network models for time series disease prediction confronted by spatiotemporal dependencies 基于混合神经网络模型的时空相关性疾病预测。

IF 1.6

MethodsX Pub Date : 2024-12-09 DOI: 10.1016/j.mex.2024.103093

Hamed Bin Furkan , Nabila Ayman , Md. Jamal Uddin

{"title":"Hybrid neural network models for time series disease prediction confronted by spatiotemporal dependencies","authors":"Hamed Bin Furkan , Nabila Ayman , Md. Jamal Uddin","doi":"10.1016/j.mex.2024.103093","DOIUrl":"10.1016/j.mex.2024.103093","url":null,"abstract":"<div><div>In infectious disease outbreak modeling, there remains a gap in addressing spatiotemporal challenges present in established models. This study addresses this gap by evaluating four established hybrid neural network models for predicting influenza outbreaks. These models were analyzed by employing time series data from eight different countries to challenge the models with imposed spatial difficulties, in a month-on-month structure. The models' predictions were compared using MAPE, and RMSE, as well as graphical representations generated by employed models. The SARIMA-LSTM model excelled in achieving the lowest average RMSE score of 66.93 as well as reporting the lowest RMSE score for three out of eight countries studied. In this case also, GA-ConvLSTM-CNN model comes in second place with an average RMSE score of 68.46. Considering these results and the ability to follow the seasonal trends of the actual values, this study suggests the SARIMA-LSTM model to be more robust to spatiotemporal challenges compared with the other models under examination.</div><div>This study<ul><li><span>•</span><span><div>Evaluated established methods with unique imposed difficulty.</div></span></li><li><span>•</span><span><div>Addressed spatiotemporal characteristics of the data.</div></span></li><li><span>•</span><span><div>Proposed the SARIMA-LSTM model based on evaluation metrics.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103093"},"PeriodicalIF":1.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11719402/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142971454","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}

引用次数: 0

Enhancing land feature classification with the BTR Extractor: A novel software package for high-accuracy analysis of aerial laser scan data 利用BTR提取器增强地物分类：一种用于航空激光扫描数据高精度分析的新型软件包。

IF 1.6

MethodsX Pub Date : 2024-12-09 DOI: 10.1016/j.mex.2024.103090

Jamshid Talebi, Zahra Azizi

{"title":"Enhancing land feature classification with the BTR Extractor: A novel software package for high-accuracy analysis of aerial laser scan data","authors":"Jamshid Talebi, Zahra Azizi","doi":"10.1016/j.mex.2024.103090","DOIUrl":"10.1016/j.mex.2024.103090","url":null,"abstract":"<div><div>The semi-automatic and automatic extraction of land features such as buildings, trees, and roads using aerial laser scan data is crucial in land use change studies and urban management. This research introduces the \"BTR\" extractor, a novel software package designed to enhance classification accuracy of phenomena identified in the super points obtained from aerial laser scanners. Our method focuses on:<ul><li><span>–</span><span><div>Comparing classification methods using airborne laser scanning data.</div></span></li><li><span>–</span><span><div>Implementing supervised algorithms for high-accuracy classification.</div></span></li><li><span>–</span><span><div>Evaluating the performance against existing software like TerraSolid.</div></span></li></ul></div><div>The user-friendly interface allows data entry, training data collection, and selection of classification methods. We employed five methods (Bayesian algorithms, support vector machine, K-nearest neighbor, C-Tree, and discriminant analysis) to classify land features. Comparative results show the BTR extractor outperforms TerraSolid, particularly in supervised classification, demonstrating high accuracy and reliable implementation in the studied area. Our findings advocate for the use of supervised algorithms in classifying cloud data for enhanced accuracy and efficiency in remote sensing applications.</div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103090"},"PeriodicalIF":1.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11699430/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142932047","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}

引用次数: 0

Non-carcinogenic health risks assessment of bioaerosols. 生物气溶胶的非致癌健康风险评估。

IF 1.6

MethodsX Pub Date : 2024-12-09 DOI: 10.1016/j.mex.2024.103088

Azhar Siddique, Kashif Rasool

{"title":"Non-carcinogenic health risks assessment of bioaerosols.","authors":"Azhar Siddique, Kashif Rasool","doi":"10.1016/j.mex.2024.103088","DOIUrl":"10.1016/j.mex.2024.103088","url":null,"abstract":"<div><div>Bioaerosols, pose potential health risks, yet quantitative assessments of non-carcinogenic risks from bioaerosol inhalation are limited. This study introduces a novel approach for assessing non-carcinogenic health risks using bioaerosol exposure data. The method employs the Average Daily Dose and Hazard Quotient (HQ) metrics, adapted from US Environmental Protection Agency guidelines, with the Reference Dose (RfD) based on thresholds from the National Institute of Occupational Safety and Health and the American Conference of Governmental Industrial Hygienists. This study utilizes a time-weighted approach, considering age-specific inhalation rates and body weights, to enhance the precision of lifetime exposure assessments. This methodology was applied to data collected over one year across multiple locations in Qatar, assessing seasonal and site-specific variations in risk. Results indicate generally low health risks, with HQ values below 1 for most sites and seasons. However, the study identified elevated HQ values at highly active sites during the dry summer, suggesting potential health concerns that need urgent attention. The proposed framework offers a replicable approach for evaluating bioaerosol-related health risks across diverse environments.<ul><li><span>•</span><span><div>Novel adaptation of HQ-based risk assessment for bioaerosols in Qatar, incorporating a time-weighted approach.</div></span></li><li><span>•</span><span><div>Evaluation of seasonal and site-specific exposure dynamics.</div></span></li><li><span>•</span><span><div>Designed for replicability in different environmental conditions.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103088"},"PeriodicalIF":1.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683212/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142915150","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}

引用次数: 0