| Literature DB >> 29978578 |
Toni Rose Barroga1, Mary Joy Gordoncillo2, Maria Glofezita Lagayan3, Rona Bernales4, Mardi Caniban3, Emelinda Lopez3, Ronello Abila2.
Abstract
Rabies is an endemic disease in the Philippines. Addressing the disease at source, massive efforts towards dog vaccination and public awareness on rabies have been pursued by various Local Government Units (LGUs) in the country. While marked improvements have been seen, rabies continues to persist where it exists, largely owing to poor surveillance of the disease in animals and weak coordination between the human and animal health sectors. To bridge these critical gaps, the BAI-OIE STANDZ Rabies Project in the Philippines, together with the key rabies stakeholders in Bicol Region, developed the "Practical Inter-sectoral Linking"-an operational protocol and practical network of local key players (human health, animal health and LGUs) involved in rabies detection, reporting and implementation of appropriate interventions. It is initiated by recognized triggers such as detection of confirmed or probable rabies cases and is closely linked with early detection in animals, case investigation, quarantine, diagnosis, reporting and post-exposure prophylaxis. People down to the village level are informed about the routine, protocol and contact details of relevant people in responding to bite victims with the flowchart provided by the tool. This tool was initially rolled out in pilot provinces in the Bicol Region and to date has already documented success in initiating timely actions to 31 laboratory confirmed rabies cases being investigated, which actually saved 46 human lives upon further investigation. With this established at the LGU level, the goal to timely detect suspect or probable rabies cases and promptly implement appropriate interventions are expected to improve, while local officials are empowered with their roles as frontline workers in the prevention and control of rabies.Entities:
Keywords: One Health; practical inter-sectoral linking; rabies
Mesh:
Substances:
Year: 2018 PMID: 29978578 DOI: 10.1111/zph.12502
Source DB: PubMed Journal: Zoonoses Public Health ISSN: 1863-1959 Impact factor: 2.702