Releasing Wolbachia-infected mosquitos to mitigate the transmission of Zika virus

Xue, Ling; Cao, Xinru; Wan, Hui

doi:10.1016/j.jmaa.2020.124804

Cited by 15 publications

(5 citation statements)

References 47 publications

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“…At present, there is no research on the core competence index system of infectious disease specialist nurses, so the definition of the core competence of infectious disease specialist nurses is not clear. In the context of the novel Coronavirus disease and the increasing number of new infectious diseases [ 35 , 36 ], speeding up the training of infectious disease specialist nurses and clarifying their core competencies will help standardize the work of infectious disease nursing, improve the quality of nursing services, and prevent the spread of infectious diseases. Therefore, it is of great practical significance to construct the evaluation index system of core competence of infectious disease specialist nurses.…”

Section: Discussionmentioning

confidence: 99%

Construction of an index system of core competence assessment for infectious disease specialist nurse in China: a Delphi study

et al. 2021

BMC Infect Dis

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Aim and objective This study was to establish an index system for the evaluation of Chinese infectious disease specialist nurses’ core competence. Background The index system for the evaluation of infectious disease specialist nurses’ core competence has not been established. Design A two-round Delphi survey was conducted to seek opinions from experts about the index system for the evaluation of infectious disease specialist nurses’ core competence. Methods The study adopted several research methods, including literature retrieval, theoretical analysis and qualitative research. Based on the above method, the draft of core competence evaluation index system of infectious disease specialist nurses was constructed. A Delphi survey was used for the study of 30 infectious disease experts from 8 provinces and cities around China. A modified recommendation for the Conducting and Reporting of Delphi studies (CREDES) was also used to guide this study. A STROBE checklist was used. Results The Core Competence Evaluation Index System of Infectious Disease Nurses is composed of 6 primary indicators, namely, Nursing Abilities for Infectious Diseases, Infection Prevention and Control Abilities, Responsiveness to Infectious Diseases, Professional Development Abilities, Communication and Management Abilities, and Professionalism and Humanistic Accomplishment, 16 secondary indicators and 47 tertiary indicators. The authority coefficient, judgment coefficient and familiarity degree of Delphi experts were 0.923, 0.933 and 0.913 respectively. Conclusions The evaluation index system of core competence of diseases specialist nurses is scientific and reliable. It can be reference for future training and assessment of Chinese infectious disease specialist nurses. Relevance to clinical practice Infectious disease specialist nurses are the main force for infectious disease nursing. Their core competence is related to the quality of infectious disease nursing and treatment. The core competence of the nurses is important for identification of training strategies and can be regarded as reference for nurse assessment and promotion. The construction of the index system is based on the consensus of infectious disease experts, which is not only helpful to standardize the training strategies and selection standards of infectious disease specialist nurses in the future, but also meet the society’s needs in clinical infectious disease nursing.

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Section: Discussionmentioning

confidence: 99%

Construction of an index system of core competence assessment for infectious disease specialist nurse in China: a Delphi study

et al. 2021

BMC Infect Dis

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“…Izhevsk et al also applied the technical results of deep machine learning in the field of classification of computer images and other areas to improve to the computational accuracy of classification results of images. In the field of computer speech fast recognition algorithms, Jérémy et al advocated the use of computer deep machine learning algorithm technical results to improve the algorithmic accuracy of computer speech fast recognition methods [5]. The use of unsupervised learning models and deep learning, not only to learn image data features from image data models that can be unlabeled but also to establish parallelized image models that can be massively parallelized, points out another new direction to explore for the systematic in-depth analysis and research development of deep machine learning algorithms [6].…”

Section: Research Backgroundmentioning

confidence: 99%

Locating Defects and Image Preprocessing: Deep Learning in Automated Tobacco Production

et al. 2022

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Deep learning is an emerging discipline developed in recent years, which is aimed at investigating how to actively obtain multiple feature representations from data samples, rely on data-driven methods, and apply a series of nonlinear transformations to obtain reliable research results. Combined with today’s development dynamics, the traditional way of cigarette production can no longer adapt to the current rate of economic development. Therefore, cigarette companies must achieve their own rapid and stable development through automation and automated management techniques for production and operation. In this paper, in the context of the research on deep learning and tobacco automation production, we focus on the application in tobacco automation production based on the management theory related to deep learning and the research method of deep convolutional neural network, mainly analyzing the application of distributed control system, production command system, logistics system, and quality control system in tobacco automation system, and conclude that the automated production system plays a role in tobacco production strengthen management and command, circumvent quality problems, save costs, and other conclusions, which hopefully have some reference.

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“…Assuming that Wolbachia-carrying mosquitoes are continuously released into wild mosquito population, some continuous time differential equation models [11,35,5,3,4,22,30], stochastic dynamical models [10,20] and reaction-diffusion equations [3,9] are proposed to mainly investigate the spread of Wolbachia in mosquito populations. Several researchers incorporate mosquito dynamical models with epidemic models to mainly study the effects of Wolbachia-carrying mosquito releases on the transmission and control of mosquito-borne diseases [4,27,26,31]. Considering that Wolbachia-carrying mosquitoes are periodically released in practice, some impulsive differential equation models have been established to study the effect of introducing Wolbachia on the dynamics of natural mosquitoes [32,33,15,16].…”

Section: Introductionmentioning

confidence: 99%

Birth-pulse models to assess the effects of Wolbachia-carrying mosquito releases on the control of dengue fever

Zhang,

Li,

Liu

2024

Applied Mathematical Modelling

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Releasing Wolbachia-infected mosquitos to mitigate the transmission of Zika virus

Cited by 15 publications

References 47 publications

Construction of an index system of core competence assessment for infectious disease specialist nurse in China: a Delphi study

Construction of an index system of core competence assessment for infectious disease specialist nurse in China: a Delphi study

Locating Defects and Image Preprocessing: Deep Learning in Automated Tobacco Production

Birth-pulse models to assess the effects of Wolbachia-carrying mosquito releases on the control of dengue fever

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