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
This study aimed to evaluate the performance of the early warning and response system (EWARS) in the Kebumen District Health Office in 2023, with a focus on the early detection of leptospirosis cases. This descriptive evaluation study used secondary data from the EWARS platform. The data was retrieved from the website web.skdr.surveilans.org. The timeliness of EWARS reporting at community health centers and hospitals in 2023 was 95.42% and 96.23%, respectively. The completeness of EWARS reports at community health centers and hospitals in 2023 was 100%, respectively. Community health centers reported 314 alerts, while 413 were reported from hospitals during 2023. The most frequently reported alert from hospitals was leptospirosis. In the EWARS, 66 cases of leptospirosis were reported at week 11. Alerts from hospital reports from week 1 to week 11 were increasing. An alert from the health center report appeared in the 9th week. The response that has been made is improving health awareness of leptospirosis around the affected community health centers and hospitals in the Kebumen area. The verification of cases from hospitals was 93.46% and verified within 24 hours. The timeliness and completeness of EWARS reporting in Kebumen District have surpassed the national targets of 80% and 90%, respectively. In the case of leptospirosis, community health centers need to increase early detection of symptoms and risk factors for leptospirosis.
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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