An eco-epidemiological model for malaria with Microsporidia MB as bio-control agent [0.03%]
一种以微孢子虫作为生物控制手段的疟疾生态流行病学模型
Charlène N T Mfangnia,Henri E Z Tonnang,Berge Tsanou et al.
Charlène N T Mfangnia et al.
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,...
Modelling disease spread with spatio-temporal fractional derivative equations and saturated incidence rate [0.03%]
具有饱和感染率的时空分数阶导数模型及其在传染病中的应用
Chouaib Bounkaicha,Karam Allali
Chouaib Bounkaicha
The global analysis of a spatio-temporal fractional order SIR infection model with saturated incidence function is suggested and studied in this paper. The dynamics of the infection is described by three partial differential equations inclu...
SDIQR mathematical modelling for COVID-19 of Odisha associated with influx of migrants based on Laplace Adomian decomposition technique [0.03%]
基于Laplace Adomian分解技术的与移民流入有关的奥里萨邦COVID-19的SDIQR数学建模
Itishree Sahu,Saumya Ranjan Jena
Itishree Sahu
In this study, the Laplace Adomian decomposition technique (LADT) is employed to analyse a numerical study with the SDIQR mathematical model of COVID-19 for infected migrants in Odisha. The analytical power series and LADT are applied to th...
Relative humidity prediction with covariates and error correction based on SARIMA-EG-ECM model [0.03%]
基于SARIMA-EG-ECM模型的相对湿度预报及误差修正方法
Jiajun Guo,Liang Zhang,Ruqiang Guo
Jiajun Guo
RH is a physical quantity measuring atmospheric water vapor content. Predicting RH is of great importance in weather, climate, industrial production, crops, human health, and disease transmission, since it is helpful in making critical deci...
Modeling and analysis of novel COVID-19 outbreak under fractal-fractional derivative in Caputo sense with power-law: a case study of Pakistan [0.03%]
巴基斯坦新型冠状病毒疫情的分形-分数阶动力学模型与分析（Caputo导数，幂律）
Khadija Tul Kubra,Rooh Ali
Khadija Tul Kubra
In this paper, a five-compartment model is used to explore the dynamics of the COVID-19 pandemic, taking the vaccination campaign into account. The present model consists of five components that lead to a system of five ordinary differentia...
Integration of Moran's I, geographically weighted regression (GWR), and ordinary least square (OLS) models in spatiotemporal modeling of COVID-19 outbreak in Qom and Mazandaran Provinces, Iran [0.03%]
结合 Moran 的 I、地理加权回归（GWR）和普通最小二乘法（OLS）模型集成的空间时间模型在伊朗戈姆省和马赞德兰省的新冠肺炎疫情建模中的应用
Vahid Isazade,Abdul Baser Qasimi,Pinliang Dong et al.
Vahid Isazade et al.
Globally, the COVID-19 pandemic is a top-level public health concern. This paper attempts to identify the COVID-19 pandemic in Qom and Mazandaran provinces, Iran using spatial analysis approaches. This study was based on secondary data of c...
Modeling and implementation of a low-cost IoT-smart weather monitoring station and air quality assessment based on fuzzy inference model and MQTT protocol [0.03%]
基于模糊推理模型和MQTT协议的低成本物联网智能气象监测站及空气质量评估的设计与实现
Mohamed Fahim,Abderrahim El Mhouti,Tarik Boudaa et al.
Mohamed Fahim et al.
The automatic weather system serves to inform farmers, tourists, planners, and others with precise information to help them take the appropriate action. Today, with the advancement of smart technologies, the system has evolved into many sen...
Investigating the association between air pollutants' concentration and meteorological parameters in a rapidly growing urban center of West Bengal, India: a statistical modeling-based approach [0.03%]
统计建模方法研究印度西孟加拉邦快速发展的城市中心空气污染物浓度与气象参数之间的关联
Arghadeep Bose,Indrajit Roy Chowdhury
Arghadeep Bose
The ambient air quality in a city is heavily influenced by meteorological conditions. The city of Siliguri, known as the "Gateway of Northeast India", is a major hotspot of air pollution in the Indian state of West Bengal. Yet almost no res...
Muhammad Idrees,Ayesha Sohail
Muhammad Idrees
Control systems and the modeling strategies are not only limited to engineering problems. These approaches can be used in the field of bio-mathematics as well and modern studies have promoted this approach to a great extent. The computation...
Marya Sadki,Jaouad Danane,Karam Allali
Marya Sadki
Mathematical analysis of epidemics is crucial for the prediction of diseases over time and helps to guide decision makers in terms of public health policy. It is in this context that the purpose of this paper is to study a fractional-order ...