Pub Date : 2023-12-31DOI: 10.47363/jhsr/2023(2)114
Ints Udris
Background: The use of endovenous laser ablation (EVLA) combined with other techniques, typically miniphlebectomy, is recommended to avoid undesirable complications. We decided to compare the safety and efficacy of two treatment methods – EVLA and the new breakthrough TOTAL EVLA (side brunches and perforator veins are closed by laser) and to investigate whether the TOTAL EVLA is associated with a lower complication risk.
背景：建议将静脉腔内激光消融术（EVLA）与其他技术（通常是微静脉切除术）结合使用，以避免出现不良并发症。我们决定比较两种治疗方法的安全性和有效性--EVLA 和新的突破性 TOTAL EVLA（通过激光闭合侧支静脉和穿孔静脉），并研究 TOTAL EVLA 是否具有更低的并发症风险。
{"title":"Four Years Experience with 1940NM Diode Laser and Total EVLA Method. Short Term Outcomes","authors":"Ints Udris","doi":"10.47363/jhsr/2023(2)114","DOIUrl":"https://doi.org/10.47363/jhsr/2023(2)114","url":null,"abstract":"Background: The use of endovenous laser ablation (EVLA) combined with other techniques, typically miniphlebectomy, is recommended to avoid undesirable complications. We decided to compare the safety and efficacy of two treatment methods – EVLA and the new breakthrough TOTAL EVLA (side brunches and perforator veins are closed by laser) and to investigate whether the TOTAL EVLA is associated with a lower complication risk.","PeriodicalId":120373,"journal":{"name":"Journal of Health Statistics Reports","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139130386","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}
Pub Date : 2023-09-30DOI: 10.47363/jhsr/2023(2)111
S. Umakanthan
Primary mucinous carcinoma of the skin is a rare cutaneous carcinoma arising from the eccrine differentiated sweat glands. The most frequent location is the eyelid, followed by the scalp and face.
原发性皮肤黏液癌是一种罕见的皮肤癌，起源于内分泌分化的汗腺。最常见的部位是眼睑，其次是头皮和脸部。
{"title":"Primary Cutaneous Mucinous Carcinoma of the Eyelid: A Case Report","authors":"S. Umakanthan","doi":"10.47363/jhsr/2023(2)111","DOIUrl":"https://doi.org/10.47363/jhsr/2023(2)111","url":null,"abstract":"Primary mucinous carcinoma of the skin is a rare cutaneous carcinoma arising from the eccrine differentiated sweat glands. The most frequent location is the eyelid, followed by the scalp and face.","PeriodicalId":120373,"journal":{"name":"Journal of Health Statistics Reports","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130469249","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}
Pub Date : 2023-06-30DOI: 10.47363/jhsr/2023(2)109
Chikezie Kennedy Kalu
Objective: To analyse, understand and investigate common X-ray Mammography techniques, terminologies and properties; and how the X-ray Mammography systems can be optimized for a safer, more effective, more efficient, more energy efficient procedure for breast cancer diagnosis; using Deep Learning (DL)/ Artificial Intelligence (AI), Analytical, Electronic Engineering, tools and Methodologies. Methods: Using data and breast cancer image datasets from validated open source data stores; investigative and comparative analyses were carried out on common X-ray Mammography techniques in relation to breast cancer diagnosis and treatments for Women; as well as optimization analyses using Electronic engineering principles and Artificial Intelligence principles on the quality, intensity, radiation photon energy, HVL(Half Value Layer), Tube current-time product, Metal filters properties (e.g. K-edge energy cut off), and classification validation accuracy of the X-ray Mammography properties, procedure, processes and systems. The methodical and data-driven analyses were carried out using the following Data, Artificial Intelligence (AI) and Electronic Engineering, methodologies and algorithms: Data Analytics, Convolutional Neural Networks (CNN) in Machine Learning (ML) Engineering, and X-ray-Impedance Circuit Composite System Analysis
{"title":"Analytical Optimization of X-ray Mammography for Increased Benefits and Safety; using: Data Analytics, Electronics Engineering and Artificial Intelligence","authors":"Chikezie Kennedy Kalu","doi":"10.47363/jhsr/2023(2)109","DOIUrl":"https://doi.org/10.47363/jhsr/2023(2)109","url":null,"abstract":"Objective: To analyse, understand and investigate common X-ray Mammography techniques, terminologies and properties; and how the X-ray Mammography systems can be optimized for a safer, more effective, more efficient, more energy efficient procedure for breast cancer diagnosis; using Deep Learning (DL)/ Artificial Intelligence (AI), Analytical, Electronic Engineering, tools and Methodologies. Methods: Using data and breast cancer image datasets from validated open source data stores; investigative and comparative analyses were carried out on common X-ray Mammography techniques in relation to breast cancer diagnosis and treatments for Women; as well as optimization analyses using Electronic engineering principles and Artificial Intelligence principles on the quality, intensity, radiation photon energy, HVL(Half Value Layer), Tube current-time product, Metal filters properties (e.g. K-edge energy cut off), and classification validation accuracy of the X-ray Mammography properties, procedure, processes and systems. The methodical and data-driven analyses were carried out using the following Data, Artificial Intelligence (AI) and Electronic Engineering, methodologies and algorithms: Data Analytics, Convolutional Neural Networks (CNN) in Machine Learning (ML) Engineering, and X-ray-Impedance Circuit Composite System Analysis","PeriodicalId":120373,"journal":{"name":"Journal of Health Statistics Reports","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128106526","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}
Pub Date : 2023-06-30DOI: 10.47363/jhsr/2022(1)110
Chiwa Musa Dalah
A sanitation facility, Services and Education greatly influences the sanitary situation of every society. They are the most important instruments for combating bad sanitary situation in every society.
卫生设施、服务和教育极大地影响每个社会的卫生状况。它们是每个社会对抗恶劣卫生状况的最重要工具。
{"title":"Sanitation Facilities, Services and Education in North-Eastern Nigeria","authors":"Chiwa Musa Dalah","doi":"10.47363/jhsr/2022(1)110","DOIUrl":"https://doi.org/10.47363/jhsr/2022(1)110","url":null,"abstract":"A sanitation facility, Services and Education greatly influences the sanitary situation of every society. They are the most important instruments for combating bad sanitary situation in every society.","PeriodicalId":120373,"journal":{"name":"Journal of Health Statistics Reports","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122650524","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}
Pub Date : 2023-03-31DOI: 10.47363/jhsr/2023(2)108
Batho P Maballa
Based on SMA model, the forecast of number of Malaria cases in Ligula Referral Hospital in Mtwara have been analyzed. The study employed data of LRRH Statistics office from 2013 to 2021
{"title":"Forecast of Number of Malaria Cases in Ligula Referral Hospital in Mtwara, Tanzania","authors":"Batho P Maballa","doi":"10.47363/jhsr/2023(2)108","DOIUrl":"https://doi.org/10.47363/jhsr/2023(2)108","url":null,"abstract":"Based on SMA model, the forecast of number of Malaria cases in Ligula Referral Hospital in Mtwara have been analyzed. The study employed data of LRRH Statistics office from 2013 to 2021","PeriodicalId":120373,"journal":{"name":"Journal of Health Statistics Reports","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121615028","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}
Pub Date : 2022-12-31DOI: 10.47363/jhsr/2022(1)107
Nagham Hani Jirjees Saoor
Background: The consultation time reflects the level of responsiveness of the health care system. If the time is too short, the risk of misdiagnosis and mistreatment will increase. The consultation time in primary health care centers of Iraq is not measured by any formal institution Because of the lack of governmental monitoring on the services that are introduced by these primary health care centers.
{"title":"Calculating Consultation Time by Mobile Phone and Comparing to Perceiving Time in Primary Health Centers in Erbil City","authors":"Nagham Hani Jirjees Saoor","doi":"10.47363/jhsr/2022(1)107","DOIUrl":"https://doi.org/10.47363/jhsr/2022(1)107","url":null,"abstract":"Background: The consultation time reflects the level of responsiveness of the health care system. If the time is too short, the risk of misdiagnosis and mistreatment will increase. The consultation time in primary health care centers of Iraq is not measured by any formal institution Because of the lack of governmental monitoring on the services that are introduced by these primary health care centers.","PeriodicalId":120373,"journal":{"name":"Journal of Health Statistics Reports","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114061894","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}
Pub Date : 2022-09-30DOI: 10.47363/jhsr/2022(1)106
Ommama Idris Abbas Ali
Introduction: Medical waste is generated by healthcare facilities such as hospitals, clinics, blood banks, and laboratories, which may cause infection to any person coming into contact with it. therefore, medical waste can be considered as being of the greatest environmental concern since it can harbor potentially harmful microorganisms and carries the risk of transmission of infections from healthcare facilities to healthcare workers, patients, and general public. Method: This cross sectional descriptive study was carried out in Almak Nimer University Hospitals - River Nile state -Sudan during the year 2021 with the aim to assess knowledge, attitudes and practices among the health care personnel towards medical waste management. Total 125 respondents were participated in the study; the study uses questionnaires, interviews and observations as tools for data collection. The collected data were analyzed by Software Package for Social Sciences (SPSS) and the result was presented in figures and tables. Result: A total of 125 subjects participated in this study which included ( 34 doctors, 56 nurse, 18 lab technician, 17 class IV employees). The study revealed that (96.8%) of the respondents have good knowledge about hazardous waste. (94.4 % )of the respondents have good knowledge concerning waste transmitting diseases. ( 84.08%) have good attitudes towards BMW ,the study most of participant want to upgrade knowledge of BMW management. about practices (77.6%) wearing personal protective measure while handling BMW during the work .( 96%) wash their hands after the work, but only (61%) use drugs for cleaning the hand if injured. Conclusion: The study revealed that level of knowledge over all (73.5%), there is good knowledge among health worker except class IV which is found to be reasonable. There are reasonable level of knowledge by class IV regarding define color-coding system. The attitude support BMW management is a team work which is found to be good as well as attitude of upgrading knowledge is found to be good. Some of participant had not received vaccination , there is good practice toward handling of BMW as well as have good practice about using special container for disposal.
{"title":"Assessment of Knowledge, Attitude and Practice of Biomedical Waste Management among Health Care Personnel at El-Mak Nimer University Hospital 2021","authors":"Ommama Idris Abbas Ali","doi":"10.47363/jhsr/2022(1)106","DOIUrl":"https://doi.org/10.47363/jhsr/2022(1)106","url":null,"abstract":"Introduction: Medical waste is generated by healthcare facilities such as hospitals, clinics, blood banks, and laboratories, which may cause infection to any person coming into contact with it. therefore, medical waste can be considered as being of the greatest environmental concern since it can harbor potentially harmful microorganisms and carries the risk of transmission of infections from healthcare facilities to healthcare workers, patients, and general public. Method: This cross sectional descriptive study was carried out in Almak Nimer University Hospitals - River Nile state -Sudan during the year 2021 with the aim to assess knowledge, attitudes and practices among the health care personnel towards medical waste management. Total 125 respondents were participated in the study; the study uses questionnaires, interviews and observations as tools for data collection. The collected data were analyzed by Software Package for Social Sciences (SPSS) and the result was presented in figures and tables. Result: A total of 125 subjects participated in this study which included ( 34 doctors, 56 nurse, 18 lab technician, 17 class IV employees). The study revealed that (96.8%) of the respondents have good knowledge about hazardous waste. (94.4 % )of the respondents have good knowledge concerning waste transmitting diseases. ( 84.08%) have good attitudes towards BMW ,the study most of participant want to upgrade knowledge of BMW management. about practices (77.6%) wearing personal protective measure while handling BMW during the work .( 96%) wash their hands after the work, but only (61%) use drugs for cleaning the hand if injured. Conclusion: The study revealed that level of knowledge over all (73.5%), there is good knowledge among health worker except class IV which is found to be reasonable. There are reasonable level of knowledge by class IV regarding define color-coding system. The attitude support BMW management is a team work which is found to be good as well as attitude of upgrading knowledge is found to be good. Some of participant had not received vaccination , there is good practice toward handling of BMW as well as have good practice about using special container for disposal.","PeriodicalId":120373,"journal":{"name":"Journal of Health Statistics Reports","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124169118","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}
Pub Date : 2022-06-30DOI: 10.47363/jhsr/2022(1)103
Bader Alibrahim, Eman Elsayed Abd-Ellatif
Background: Foodborne disease (FBD) results from ingesting contaminated food. FBDs cause huge burdens on health and economy. Hence, the surveillance and response systems of FBDs and foodborne disease outbreaks (FBDOs) are crucial for disease control and prevention.
{"title":"Evaluation of Surveillance and Response Systems of Foodborne Diseases and Outbreaks In 2015 At the Ministry of Health Level in Riyadh City, Saudi Arabia","authors":"Bader Alibrahim, Eman Elsayed Abd-Ellatif","doi":"10.47363/jhsr/2022(1)103","DOIUrl":"https://doi.org/10.47363/jhsr/2022(1)103","url":null,"abstract":"Background: Foodborne disease (FBD) results from ingesting contaminated food. FBDs cause huge burdens on health and economy. Hence, the surveillance and response systems of FBDs and foodborne disease outbreaks (FBDOs) are crucial for disease control and prevention.","PeriodicalId":120373,"journal":{"name":"Journal of Health Statistics Reports","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114041931","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}
Pub Date : 2022-03-30DOI: 10.47363/jhsr/2022(1)102
Vasiliki E. Kalodimou
{"title":"Immunity and the Real Science Behind (Editorial)","authors":"Vasiliki E. Kalodimou","doi":"10.47363/jhsr/2022(1)102","DOIUrl":"https://doi.org/10.47363/jhsr/2022(1)102","url":null,"abstract":"","PeriodicalId":120373,"journal":{"name":"Journal of Health Statistics Reports","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132788111","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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