Adolescent mental health problems have attracted much attention in recent years. Adolescent population refers to the group between the ages of 11 and 18. In this scale of age, teenager develop rapidly both physically and mentally, psychological problems are very easy to occur. However, teenager lack the experience of coping with psychological problems correctly, which causes serious negative effects in many sectors. Discussing the influence of adolescents' own factors, native family and campus life on the psychological factors of adolescents is able to help provide a basis for the development of adolescents' mental health protection and intervention measures. The results on this research show that parents' educational methods for adolescents and the relationship between family members are the main factors affecting the mental health of adolescents. "Primary caregiver does not interfere too much with teens", "Primary caregiver punishes youth in a way that does not make youth uncomfortable" are protective factors for mental health. Primary caregivers do not show sufficient respect for teens, poor relationships with other family members are risk factors for teens' mental health. The factors causing the psychological problems of adolescents are diverse and the negative impact of adolescents’ mental health is more serious. Parents should adjust their unreasonable educational concepts, and family members should create a good family atmosphere for teenagers to improve their happiness. Schools and relevant departments should take relevant measures to protect and prevent adolescents from mental health problem.
{"title":"Analysis on the Influencing Factors of Adolescent Mental Health","authors":"Zi-Rong Wang","doi":"10.1145/3545729.3545786","DOIUrl":"https://doi.org/10.1145/3545729.3545786","url":null,"abstract":"Adolescent mental health problems have attracted much attention in recent years. Adolescent population refers to the group between the ages of 11 and 18. In this scale of age, teenager develop rapidly both physically and mentally, psychological problems are very easy to occur. However, teenager lack the experience of coping with psychological problems correctly, which causes serious negative effects in many sectors. Discussing the influence of adolescents' own factors, native family and campus life on the psychological factors of adolescents is able to help provide a basis for the development of adolescents' mental health protection and intervention measures. The results on this research show that parents' educational methods for adolescents and the relationship between family members are the main factors affecting the mental health of adolescents. \"Primary caregiver does not interfere too much with teens\", \"Primary caregiver punishes youth in a way that does not make youth uncomfortable\" are protective factors for mental health. Primary caregivers do not show sufficient respect for teens, poor relationships with other family members are risk factors for teens' mental health. The factors causing the psychological problems of adolescents are diverse and the negative impact of adolescents’ mental health is more serious. Parents should adjust their unreasonable educational concepts, and family members should create a good family atmosphere for teenagers to improve their happiness. Schools and relevant departments should take relevant measures to protect and prevent adolescents from mental health problem.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"367 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116537885","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}
This research presented the design of plantar pressure measurement tool. The objective of this study were the plantar pressure data for assist decision doctor investigate foot disease type, that establish a measurement with high resolution and relatively accurate measurements. The development uses Force Sensing Resistor (FSR) to scanning the plantar pressure Measurement, about 15 points on feet of patients in the foot type verification analysis. The signal conditions circuit changes the resistor of FSR sensor into voltage and send to Arduino microcontroller, its processed to send out the data via Nrf24l01 wireless module for display on the monitor of the micro-computer. On the micro-computer have an algorithm for predicting the risk of patients was flat foot (fallen arches) or Hollow foot (high arches). From experiments on laboratory, the calibration method for the plantar pressure measure system was established with the use of a Foot Imprinter Harris Mat. The device from our design have feasibility for predicting the flat foot risk of patients.
{"title":"Design of Plantar Pressure Measurement to diagnose the flat feet patients Plantar Pressure","authors":"Warunya Chaichanyut, M. Chaichanyut","doi":"10.1145/3545729.3545760","DOIUrl":"https://doi.org/10.1145/3545729.3545760","url":null,"abstract":"This research presented the design of plantar pressure measurement tool. The objective of this study were the plantar pressure data for assist decision doctor investigate foot disease type, that establish a measurement with high resolution and relatively accurate measurements. The development uses Force Sensing Resistor (FSR) to scanning the plantar pressure Measurement, about 15 points on feet of patients in the foot type verification analysis. The signal conditions circuit changes the resistor of FSR sensor into voltage and send to Arduino microcontroller, its processed to send out the data via Nrf24l01 wireless module for display on the monitor of the micro-computer. On the micro-computer have an algorithm for predicting the risk of patients was flat foot (fallen arches) or Hollow foot (high arches). From experiments on laboratory, the calibration method for the plantar pressure measure system was established with the use of a Foot Imprinter Harris Mat. The device from our design have feasibility for predicting the flat foot risk of patients.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122993212","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}
Drones in the Internet of Drones (IoD) have been widely used in various fields, such as military reconnaissance, climate and environmental detection, logistics and transportation, and disaster relief and so on. There are many challenges related to security, privacy and energy consumption when collecting and transferring data between sensors embedded in drones. Recently, Zhang et al. developed a lightweight authentication and key agreement scheme for IoD to address these issues. Their developed scheme realized mutual authentication and key agreement of drones and users by adopting lightweight hash and bitwise XOR operations. The authors demonstrate that their proposed scheme provides better security requirements and more efficient than related schemes. However, this study shows the limitations of Zhang et al.'s scheme, which leads to their scheme may be subject to some potential attacks and cannot satisfy the session key security and untraceability properties.
{"title":"Security Analysis of Authentication and Key Agreement for Internet of Drones","authors":"Tian-Fu Lee, Wei-Jie Huang","doi":"10.1145/3545729.3545784","DOIUrl":"https://doi.org/10.1145/3545729.3545784","url":null,"abstract":"Drones in the Internet of Drones (IoD) have been widely used in various fields, such as military reconnaissance, climate and environmental detection, logistics and transportation, and disaster relief and so on. There are many challenges related to security, privacy and energy consumption when collecting and transferring data between sensors embedded in drones. Recently, Zhang et al. developed a lightweight authentication and key agreement scheme for IoD to address these issues. Their developed scheme realized mutual authentication and key agreement of drones and users by adopting lightweight hash and bitwise XOR operations. The authors demonstrate that their proposed scheme provides better security requirements and more efficient than related schemes. However, this study shows the limitations of Zhang et al.'s scheme, which leads to their scheme may be subject to some potential attacks and cannot satisfy the session key security and untraceability properties.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124245839","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}
Wound size is an important parameter in the evaluation of healing status of chronic wounds. Many technologies, such as software embedded digital camera or artificial intelligence assisted smart phone applications, have been applied to the automatic wound size measurement. However, these methods or devices are either expensive or inconvenient. Instead of using a ruler to measure wound size, we propose a novel method using fingernails as the reference objects with the combination of two deep learning models. The width of the nail was first detected and computed by RCNN deep learning (DL) model. After that, the width and height of the wound were inferred by those of the bounding box generated from YoloV5 DL model. The wound size can be obtained from the known nail width. The experimental results showed that the mean Pearson correlation coefficient reached 0.914 in comparing the prediction and the standard wound sizes. We believe our proposed model is a simple and effective method for wound size measurement.
{"title":"A Deep Learning Model for Wound Size Measurement Using Fingernails","authors":"Duc-Khanh Nguyen, Dun-hao Chang, Thi-ngoc Nguyen, Trinh-trung-duong Nguyen, Chien-Lung Chan","doi":"10.1145/3545729.3545758","DOIUrl":"https://doi.org/10.1145/3545729.3545758","url":null,"abstract":"Wound size is an important parameter in the evaluation of healing status of chronic wounds. Many technologies, such as software embedded digital camera or artificial intelligence assisted smart phone applications, have been applied to the automatic wound size measurement. However, these methods or devices are either expensive or inconvenient. Instead of using a ruler to measure wound size, we propose a novel method using fingernails as the reference objects with the combination of two deep learning models. The width of the nail was first detected and computed by RCNN deep learning (DL) model. After that, the width and height of the wound were inferred by those of the bounding box generated from YoloV5 DL model. The wound size can be obtained from the known nail width. The experimental results showed that the mean Pearson correlation coefficient reached 0.914 in comparing the prediction and the standard wound sizes. We believe our proposed model is a simple and effective method for wound size measurement.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122481430","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}
The purpose of this study is to explore the relationship among health and wellbeing program attributes, personal lifestyle, and purchase intention on podcast. A total of 300 questionnaires are distributed, 278 valid questionnaires are collected, and the valid response rate is 92.6%. The results indicated that personal lifestyle is significantly and positively related to purchase intention on Podcast, and different program attributes moderated the relationship between personal lifestyle and purchase intention. The results also indicated that online audiences who are active in learning, seeking new knowledge, and have high-quality-concern personalities, have higher purchase intention on the health and wellbeing Podcast programs. Based on our empirical results, this study suggests that an online marketing manager might design an interactive activity with the online audiences who are actively learning, seeking new knowledge and high-quality-concern, to ask the Podcast audience for feedback interactively, to enhance their attention and interest in this kind health and wellbeing programs, which could truly increase their purchase intention of the health and well-being program on podcast.
{"title":"The relationship among health and wellbeing program attributes, personal lifestyle, and purchase intention on podcast","authors":"Chi-Feng Lo, Hsu-Ju Teng, Lin Huang","doi":"10.1145/3545729.3545794","DOIUrl":"https://doi.org/10.1145/3545729.3545794","url":null,"abstract":"The purpose of this study is to explore the relationship among health and wellbeing program attributes, personal lifestyle, and purchase intention on podcast. A total of 300 questionnaires are distributed, 278 valid questionnaires are collected, and the valid response rate is 92.6%. The results indicated that personal lifestyle is significantly and positively related to purchase intention on Podcast, and different program attributes moderated the relationship between personal lifestyle and purchase intention. The results also indicated that online audiences who are active in learning, seeking new knowledge, and have high-quality-concern personalities, have higher purchase intention on the health and wellbeing Podcast programs. Based on our empirical results, this study suggests that an online marketing manager might design an interactive activity with the online audiences who are actively learning, seeking new knowledge and high-quality-concern, to ask the Podcast audience for feedback interactively, to enhance their attention and interest in this kind health and wellbeing programs, which could truly increase their purchase intention of the health and well-being program on podcast.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128297135","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}
This study focused on the two health education effects of frequent handwashing with soap and wearing masks that can be maintained by individuals. According to the World Health Organization (WHO), as of March 13, 2022, the number of confirmed cases of new coronary pneumonia has exceeded 452 million, and the number of deaths due to the infection has exceeded 6 million. In addition to vaccine administration and new drug research and development, the implementation of health education is a comprehensive and important epidemic prevention policy. As the Covid-19 virus continues to mutate, the world is still under the threaten of the epidemic. This study takes Kampala, the capital of Uganda, Africa as the research object, to explore the effectiveness of the Ugandan government's health education on preventing the spread of COVID-19 in primary schools.
{"title":"Exploration Study on the Effects of Health Education and Public Awareness of COVID-19 Prevention- A case study to a Church-Affiliated Primary School in the Kampala, Uganda","authors":"Museon Lee","doi":"10.1145/3545729.3545791","DOIUrl":"https://doi.org/10.1145/3545729.3545791","url":null,"abstract":"This study focused on the two health education effects of frequent handwashing with soap and wearing masks that can be maintained by individuals. According to the World Health Organization (WHO), as of March 13, 2022, the number of confirmed cases of new coronary pneumonia has exceeded 452 million, and the number of deaths due to the infection has exceeded 6 million. In addition to vaccine administration and new drug research and development, the implementation of health education is a comprehensive and important epidemic prevention policy. As the Covid-19 virus continues to mutate, the world is still under the threaten of the epidemic. This study takes Kampala, the capital of Uganda, Africa as the research object, to explore the effectiveness of the Ugandan government's health education on preventing the spread of COVID-19 in primary schools.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134055905","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}
Ontologies are abstract representation of domain knowledge that encompasses the structures and relations between concepts. They are stored in a form that prompts sharing, reusing, and querying of the knowledge base. Ontologies use processing and reasoning technology to derive information implied by knowledge. In healthcare, intelligent decision support systems are increasingly employing ontologies for diseases diagnosis, prevention, and treatment. Early diagnosis of diseases such as diabetes helps prevent the progression of severe health problems. Due to the massive amount of diabetes-related data in the medical field, data mining and semantic techniques have been utilized in building automated systems for diabetes prediction and diagnosis. This work aims to implement a methodology for creating a fuzzy ontology for diabetes diagnosis. It proposes a method for constructing a fuzzy ontology based on data mining techniques to reduce the time and effort of ontology construction process. Expectation maximization (EM) clustering algorithm was applied on a diabetic dataset to group concepts and attributes.
{"title":"Towards Medical Ontology Construction Using Data Mining: An approach for creating a diabetic ontology using clustering","authors":"Wejdan Radhwan, Amany Alnahdi","doi":"10.1145/3545729.3545747","DOIUrl":"https://doi.org/10.1145/3545729.3545747","url":null,"abstract":"Ontologies are abstract representation of domain knowledge that encompasses the structures and relations between concepts. They are stored in a form that prompts sharing, reusing, and querying of the knowledge base. Ontologies use processing and reasoning technology to derive information implied by knowledge. In healthcare, intelligent decision support systems are increasingly employing ontologies for diseases diagnosis, prevention, and treatment. Early diagnosis of diseases such as diabetes helps prevent the progression of severe health problems. Due to the massive amount of diabetes-related data in the medical field, data mining and semantic techniques have been utilized in building automated systems for diabetes prediction and diagnosis. This work aims to implement a methodology for creating a fuzzy ontology for diabetes diagnosis. It proposes a method for constructing a fuzzy ontology based on data mining techniques to reduce the time and effort of ontology construction process. Expectation maximization (EM) clustering algorithm was applied on a diabetic dataset to group concepts and attributes.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134488320","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}
Taiwan has become an aged society, meaning 20% of its citizens will be over 65 years by 2030. In order to provide a better health service for the elderly, the National Health Insurance Administration had launched the home pharmaceutical care services through community pharmacies in Taiwan. Traditionally, the community pharmacies use paper-and-pencil dorms to record the interview during their home visit for the patients. There is an urgent need to create an efficient and effective information system for community pharmacies to implement home pharmaceutical care services. The aim of this study was to develop a medication information system with a built-in database using Research Electronic Data Capture (REDCap) when pharmacists practice their community pharmaceutical care services. The benefits of REDCap providing data integrity, cost savings and a shorter time for data entry for community pharmacists. In addition, we investigated the satisfaction and effectiveness of community pharmacists using REDCap as their pharmaceutical care services. The results show that community pharmacists are satisfied with REDCap, which can provide both convenience and efficiency for their home pharmaceutical care services.
{"title":"Evaluating the effectiveness of research electronic data capture system on home pharmaceutical care in Taiwan","authors":"Yu-Chiung Hsu, Ya-Ming Shiue, Chuan-Gang Liu","doi":"10.1145/3545729.3545743","DOIUrl":"https://doi.org/10.1145/3545729.3545743","url":null,"abstract":"Taiwan has become an aged society, meaning 20% of its citizens will be over 65 years by 2030. In order to provide a better health service for the elderly, the National Health Insurance Administration had launched the home pharmaceutical care services through community pharmacies in Taiwan. Traditionally, the community pharmacies use paper-and-pencil dorms to record the interview during their home visit for the patients. There is an urgent need to create an efficient and effective information system for community pharmacies to implement home pharmaceutical care services. The aim of this study was to develop a medication information system with a built-in database using Research Electronic Data Capture (REDCap) when pharmacists practice their community pharmaceutical care services. The benefits of REDCap providing data integrity, cost savings and a shorter time for data entry for community pharmacists. In addition, we investigated the satisfaction and effectiveness of community pharmacists using REDCap as their pharmaceutical care services. The results show that community pharmacists are satisfied with REDCap, which can provide both convenience and efficiency for their home pharmaceutical care services.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133332848","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}
Rung-Ching Chen, Cheng-Yun Lin, Ming-Jheng Liou, Christine Dewi
Listening to music in one's life can help focus or relax, but inappropriate music can cause side effects. Moreover, listening to music or playing an instrument can promote memory and learning. Besides, the benefits of listening to music also include improving movement, body coordination and increase concentration and attention. This paper develops a brain wave application app that recommends music, integrates and analyzes brain wave data. Our research work is hoping to let users quickly understand their status and suitable music types. There is a lot of research on the application of music and brain waves to life. This paper uses a brainwave instrument combined with Android Studio to develop mobile phone software. It uses Bluetooth transmission to Electroencephalography (EEG) on the phone screen to analyze the emotional effects of different music. The researcher tries to detect brain waves to enhance the quality of life and reduce stress. Furthermore, our experiment focuses on attention and meditation and increases the calculation of fatigue, reading quality, sleep quality, and driving quality. By using our system, users can more easily understand their state. In addition, our music recommendation system implements games to recommend suitable music to users. Finally, users can improve concentration, relaxation, and quality of life by listening to music recommended by our system.
{"title":"Mobile Applications for Music Recommendation System Combined with Brainwave","authors":"Rung-Ching Chen, Cheng-Yun Lin, Ming-Jheng Liou, Christine Dewi","doi":"10.1145/3545729.3545741","DOIUrl":"https://doi.org/10.1145/3545729.3545741","url":null,"abstract":"Listening to music in one's life can help focus or relax, but inappropriate music can cause side effects. Moreover, listening to music or playing an instrument can promote memory and learning. Besides, the benefits of listening to music also include improving movement, body coordination and increase concentration and attention. This paper develops a brain wave application app that recommends music, integrates and analyzes brain wave data. Our research work is hoping to let users quickly understand their status and suitable music types. There is a lot of research on the application of music and brain waves to life. This paper uses a brainwave instrument combined with Android Studio to develop mobile phone software. It uses Bluetooth transmission to Electroencephalography (EEG) on the phone screen to analyze the emotional effects of different music. The researcher tries to detect brain waves to enhance the quality of life and reduce stress. Furthermore, our experiment focuses on attention and meditation and increases the calculation of fatigue, reading quality, sleep quality, and driving quality. By using our system, users can more easily understand their state. In addition, our music recommendation system implements games to recommend suitable music to users. Finally, users can improve concentration, relaxation, and quality of life by listening to music recommended by our system.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127958896","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}
Jonathan Harris, Thilanka Munasinghe, Heidi Tubbs, A. Anyamba
Crimean-Congo hemorrhagic fever (CCHF) is a vector-borne disease that is spread by ticks (specifically of the Hyalomma marginatum species) and is influenced by climate patterns. CCHF has a fatality rate ranging from 3-50% for humans and is a high-priority disease among international health organizations. We hypothesize that temporal variability in climate variables (temperature and precipitation) can be used to predict CCHF outbreaks in a particular region. There is a need to analyze the effects of climatic patterns on the spread of CCHF to allow high-risk countries to better prepare for possible outbreaks. We propose an approach that utilizes multivariate time-series classification (MTSC) to detect temporal climatic patterns and predicts reports of CCHF outbreaks within Pakistan with a 91.5% test accuracy.
{"title":"Predicting Crimean-Congo Hemorrhagic Fever Outbreaks via Multivariate Time-Series Classification of Climate Data","authors":"Jonathan Harris, Thilanka Munasinghe, Heidi Tubbs, A. Anyamba","doi":"10.1145/3545729.3545772","DOIUrl":"https://doi.org/10.1145/3545729.3545772","url":null,"abstract":"Crimean-Congo hemorrhagic fever (CCHF) is a vector-borne disease that is spread by ticks (specifically of the Hyalomma marginatum species) and is influenced by climate patterns. CCHF has a fatality rate ranging from 3-50% for humans and is a high-priority disease among international health organizations. We hypothesize that temporal variability in climate variables (temperature and precipitation) can be used to predict CCHF outbreaks in a particular region. There is a need to analyze the effects of climatic patterns on the spread of CCHF to allow high-risk countries to better prepare for possible outbreaks. We propose an approach that utilizes multivariate time-series classification (MTSC) to detect temporal climatic patterns and predicts reports of CCHF outbreaks within Pakistan with a 91.5% test accuracy.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126120879","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}
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