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Modeling Earth Systems and Environment最新文献

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An eco-epidemiological model for malaria with Microsporidia MB as bio-control agent. 以MB微孢子虫为生物防治剂的疟疾生态流行病学模型。
IF 2.7 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 Epub Date: 2025-04-16 DOI: 10.1007/s40808-025-02322-1
Charlène N T Mfangnia, Henri E Z Tonnang, Berge Tsanou, Jeremy Keith Herren

Microsporidia MB is an endosymbiont which naturally infects Anopheles mosquitoes. Due to its ability to block Plasmodium transmission, it shows potential as a bio-based agent for the control of malaria. Its self-sustainability is promising, as it can spread through both vertical and horizontal transmissions. However, its low prevalence in mosquito populations remains a challenge. We develop an eco-epidemiological mathematical model describing the co-dynamics of Microsporidia MB (within mosquito population) and malaria (within human population). The model is used to assess the potential of Microsporidia MB-infected mosquitoes on the control of malaria infection. The results on the basic reproduction numbers, the stability of the equilibria, and the existence of bifurcations are obtained, providing conditions for the extinction and persistence of MB-infected mosquitoes. We highlight relevant threshold parameters for the elimination and persistence of MB-infected mosquitoes and malaria-infected individuals. Using real data from Kenya, we found that, given a horizontal transmission rate between 0 and 0.5, a minimum vertical rate of 0.55 is required to avoid extinction of MB-infected mosquitoes. The predicted prevalence of MB-infected mosquitoes using transmission rates reported from lab experiments align with the observed low prevalence of MB-infected mosquitoes in the field, thereby validating our model and results. Finally, predictions indicate that increasing MB mosquito infection could effectively control malaria, with target prevalence varying by region: 15% in Highland, 40% on the coast, and 70% in the Lake region. This study offers insights into the use of bio-based vector population replacement solutions to reduce malaria incidence in regions where Microsporidia MB is prevalent.

MB微孢子虫是一种自然感染按蚊的内共生菌。由于其阻断疟原虫传播的能力,它显示出作为控制疟疾的生物基制剂的潜力。它的自我持续性是有希望的,因为它可以通过垂直和水平传播传播。然而,它在蚊子种群中的低流行率仍然是一个挑战。我们开发了一个生态流行病学数学模型,描述了微孢子虫MB(蚊子种群)和疟疾(人类种群)的共同动力学。该模型用于评估感染mb微孢子虫的蚊子控制疟疾感染的潜力。得到了基本繁殖数、平衡稳定性和分岔存在性的结果,为mb感染蚊子的灭绝和持续存在提供了条件。我们强调了消除和持续感染mb的蚊子和疟疾感染个体的相关阈值参数。利用肯尼亚的真实数据,我们发现,如果水平传播率在0到0.5之间,那么至少需要0.55的垂直传播率才能避免感染mb的蚊子灭绝。利用实验室实验报告的传播率预测的mb感染蚊子的流行率与现场观察到的mb感染蚊子的低流行率一致,从而验证了我们的模型和结果。最后,预测表明增加MB蚊子感染可有效控制疟疾,不同地区的目标患病率不同:高原地区为15%,沿海地区为40%,湖泊地区为70%。本研究为使用基于生物的媒介种群替代解决方案来减少MB微孢子虫流行地区的疟疾发病率提供了见解。
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引用次数: 0
Analysis of ground deformation due to movement of a sequence of interacting fault model 相互作用的断层序列模型运动引起的地面变形分析
IF 3 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-11 DOI: 10.1007/s40808-023-01922-z
Piu Kundu
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引用次数: 0
Mathematical modeling and analysis of human-to-human monkeypox virus transmission with post-exposure vaccination 暴露后接种猴痘病毒的人际传播数学建模与分析
IF 3 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-10 DOI: 10.1007/s40808-023-01920-1
Yau Umar Ahmad, James Andrawus, Abdurrahman Ado, Yahaya Adamu Maigoro, Abdullahi Yusuf, Saad Althobaiti, U. T. Mustapha
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引用次数: 0
Applying a machine learning-based method for the prediction of suspended sediment concentration in the Red river basin 应用基于机器学习的方法预测红河流域的悬浮泥沙浓度
IF 3 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-09 DOI: 10.1007/s40808-023-01915-y
Son Q. Nguyen, Linh C. Nguyen, T. Ngo‐Duc, Sylvain Ouillon
{"title":"Applying a machine learning-based method for the prediction of suspended sediment concentration in the Red river basin","authors":"Son Q. Nguyen, Linh C. Nguyen, T. Ngo‐Duc, Sylvain Ouillon","doi":"10.1007/s40808-023-01915-y","DOIUrl":"https://doi.org/10.1007/s40808-023-01915-y","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"30 12","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139444019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Advancing automatic plant classification system in Saudi Arabia: introducing a novel dataset and ensemble deep learning approach 推进沙特阿拉伯的植物自动分类系统:引入新型数据集和集合深度学习方法
IF 3 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-09 DOI: 10.1007/s40808-023-01918-9
Emna Amri, Yonis Gulzar, Ashfak Yeafi, Siwar Jendoubi, Faten Dhawi, Mohammad Shuaib Mir
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引用次数: 0
Energy recovery potential in Bangladesh from elevated temperature textile processing wastewater: an analysis of energy recovery, energy economics and reduction in carbon dioxide emission 孟加拉国从高温纺织加工废水中回收能源的潜力:对能源回收、能源经济性和减少二氧化碳排放的分析
IF 3 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-08 DOI: 10.1007/s40808-023-01933-w
Imm Serajul Haque, Mohammad Moshiur Rahman, Md. Sahil Rafiq, Mohammad Shakhawat Hosen Apurba, N. Khandaker
{"title":"Energy recovery potential in Bangladesh from elevated temperature textile processing wastewater: an analysis of energy recovery, energy economics and reduction in carbon dioxide emission","authors":"Imm Serajul Haque, Mohammad Moshiur Rahman, Md. Sahil Rafiq, Mohammad Shakhawat Hosen Apurba, N. Khandaker","doi":"10.1007/s40808-023-01933-w","DOIUrl":"https://doi.org/10.1007/s40808-023-01933-w","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"41 3","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139446509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Monitoring of drill bit wear using sound and vibration signals analysis recorded during rock drilling operations 利用凿岩过程中记录的声音和振动信号分析监测钻头磨损情况
IF 3 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-03 DOI: 10.1007/s40808-023-01901-4
H. Kalhori, R. Bagherpour, Hossein Tudeshki
{"title":"Monitoring of drill bit wear using sound and vibration signals analysis recorded during rock drilling operations","authors":"H. Kalhori, R. Bagherpour, Hossein Tudeshki","doi":"10.1007/s40808-023-01901-4","DOIUrl":"https://doi.org/10.1007/s40808-023-01901-4","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"5 9","pages":"1-49"},"PeriodicalIF":3.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139389577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reservoir basin characterization using one-dimensional (1D) mechanical earth modeling (MEM) for wellbore stability (WBS) analysis 利用一维(1D)机械地球模型(MEM)进行储层盆地特征描述,用于井筒稳定性(WBS)分析
IF 3 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-03 DOI: 10.1007/s40808-023-01923-y
Mahin Esmaeil Zaei, K. S. Rao, Abdullah Ansari
{"title":"Reservoir basin characterization using one-dimensional (1D) mechanical earth modeling (MEM) for wellbore stability (WBS) analysis","authors":"Mahin Esmaeil Zaei, K. S. Rao, Abdullah Ansari","doi":"10.1007/s40808-023-01923-y","DOIUrl":"https://doi.org/10.1007/s40808-023-01923-y","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"47 11","pages":"1-18"},"PeriodicalIF":3.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139388396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluation of Landsat 8 and Sentinel-2 vegetation indices to predict soil organic carbon using machine learning models 评估利用机器学习模型预测土壤有机碳的大地遥感卫星 8 号和哨兵 2 号植被指数
IF 3 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2023-12-31 DOI: 10.1007/s40808-023-01916-x
Parya Abbaszad, F. Asadzadeh, S. Rezapour, Kamal Khosravi Aqdam, Farzin Shabani
{"title":"Evaluation of Landsat 8 and Sentinel-2 vegetation indices to predict soil organic carbon using machine learning models","authors":"Parya Abbaszad, F. Asadzadeh, S. Rezapour, Kamal Khosravi Aqdam, Farzin Shabani","doi":"10.1007/s40808-023-01916-x","DOIUrl":"https://doi.org/10.1007/s40808-023-01916-x","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"8 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139132701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating and modeling a rainfall kinetic energy and erosivity: a case study of a humid watershed in the Ethiopian highlands 降雨动能和侵蚀率的评估与建模:埃塞俄比亚高原潮湿流域的案例研究
IF 3 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2023-12-30 DOI: 10.1007/s40808-023-01921-0
Kefyialew Tilahun, D. Meshesha, E. Adgo, Nigussie Haregeweyn, A. Tsunekawa, G. Tiruneh, S. Demissie, Anteneh Wubet
{"title":"Evaluating and modeling a rainfall kinetic energy and erosivity: a case study of a humid watershed in the Ethiopian highlands","authors":"Kefyialew Tilahun, D. Meshesha, E. Adgo, Nigussie Haregeweyn, A. Tsunekawa, G. Tiruneh, S. Demissie, Anteneh Wubet","doi":"10.1007/s40808-023-01921-0","DOIUrl":"https://doi.org/10.1007/s40808-023-01921-0","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":" 21","pages":""},"PeriodicalIF":3.0,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139141756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Modeling Earth Systems and Environment
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