인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Melioidosis is an infectious disease caused by Burkholderia pseudomallei . It is native to Southeast Asia and Northern Australia and not notifiable to the public and even among clinicians in most countries where it is endemic. This study aimed to determine the disease’s clusters and examine the geographic distribution of melioidosis cases in Northern Malaysia. Retrospective data was gathered on 453 cases from Hospital Sultanah Bahiyah in Kedah and Hospital Tuanku Zahirah in Perlis between 2014 and 2019. 423 of the 453 cases were included in this investigation after undergoing data purification. The information on smoking status, age, gender, address, employment exposure status, and history of melioidosis was collected. The longitude and latitude of the patient’s location were determined using the address that was gathered. Power BI was used to map out the melioidosis cases for spatial analysis. To identify the cluster of cases of clinical melioidosis in northern Malaysia, cluster analysis was performed using SAS Enterprise Miner. The study shows more melioidosis cases around Kedah and Perlis’s focal city and coastal region were detected. Also, the study highlighted two significant clusters: senior males (above 50) and non-senior males (below 60). These findings underscore the importance of targeted public health strategies to effectively prevent and manage melioidosis in northern Malaysia based on location and cluster.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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