인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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
Recent public health emergencies, including the COVID-19 pandemic, MERS, and Avian Influenza outbreaks, underscore the need for effective surveillance systems for respiratory pathogens with epidemic and pandemic potential. In 2022, WHO initiated a project to help national public health professionals identify and address gaps in coordinating multiple surveillance systems for early detection and monitoring of viral respiratory events. The project involved developing country-specific approaches to address these gaps and identifying generalizable best practices. WHO headquarters collaborated with the WHO Regional Office for Africa (AFRO) to select three pilot countries: South Africa, Togo, and the United Republic of Tanzania. Each country conducted a landscape assessment of relevant surveillance activities followed by national workshops to discuss coordination, collaboration, and strengthening of Public Health Intelligence (PHI) for respiratory surveillance.National workshops were held in Dar es Salaam (United Republic of Tanzania), Kpalimè (Togo), and Johannesburg (South Africa), bringing together professionals from various domains and sectors. The workshops highlighted system-specific and cross-cutting challenges and best practices related to respiratory surveillance. These findings informed a stakeholder workshop at the WHO Hub for Pandemic and Epidemic Intelligence in Berlin on 24-25 July 2024, which convened stakeholders from WHO headquarters, WHO AFRO, US CDC, and representatives from the pilot countries.The workshop underscored the critical importance of coordination and collaboration in respiratory surveillance. By integrating multiple surveillance systems and fostering cross-sectoral communication, countries can enhance their ability to detect and respond to respiratory pathogens with epidemic and pandemic potential. The shared best practices and recommendations provide a valuable framework for strengthening global health security and preparedness.
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.