Built on 50-years of data in the Isis Bibliography of the History of Science.
Journal of the History of Medicine and Allied Sciences
This article compares the Toronto Health Department's role in controlling the 1918 influenza epidemic with its activities during the SARS outbreak in 2003 and concludes that local health departments are the foundation for successful disease containment, provided that there is effective coordination, communication, and capacity. In 1918, Toronto's MOH Charles Hastings was the acknowledged leader of efforts to contain the disease, care for the sick, and develop an effective vaccine, because neither a federal health department nor an international body like WHO existed. During the SARS outbreak, Hastings's successor, Sheela Basrur, discovered that nearly a decade of underfunding and new policy foci such as health promotion had left the department vulnerable when faced with a potential epidemic. Lack of cooperation by provincial and federal authorities added further difficulties to the challenge of organizing contact tracing, quarantine, and isolation for suspected and probable cases and providing information and reassurance to the multi-ethnic population. With growing concern about a flu pandemic, the lessons of the past provide a foundation for future communicable disease control activities.
IsisCB Explore is an open access discovery service. Opened in 2015, it utilizes citation data in the Isis Bibliography dataset to power a robust search engine. Using Explore, you can discover publications, people, and concepts in all areas of history of science, technology, and medicine. The project is funded by the History of Science Society and the University of Oklahoma. It was also the recipient of a major grant through the Alfred P. Sloan Foundation in 2014.
IsisCB Explore enables users to search for citations, authors, editors, publisher, journals, and concepts using a dataset of over 220,000 citations to historical works across more than four decades of research in the field. The content is updated daily, so users always have the most up-to-date resources in the field.
The innovative design works through a relational network graph of the data based on two record types: citations (the bibliographic entries that have been classified and indexed) and authorities (the identity records for subjects, categories, authors, contributors, publishers, journals, places, people, and institutions).
All of our source code is at GitHub. Our data is open for use following the Creative Commons Attribution-NonCommercial 4.0 International License.