Practical Epidemiology : Using Epidemiology to Support Primary Health Care (Original PDF from Publisher)

Practical Epidemiology : Using Epidemiology to Support Primary Health Care (Original PDF from Publisher)

Written by J. Patrick Vaughan , Cesar Victora and A. Mushtaque R. Chowdhury

The WHO Geneva’s 1989 release of the successful Manual of Epidemiology for District Health Management serves as the foundation for Practical Epidemiology : Using Epidemiology to Support Primary Health Care .

In order to develop district-level public health initiatives and to investigate , plan and implement primary healthcare services, health workers in Lower and Middle Income Countries (LMICs) must apply epidemiological concepts and abilities , according to this book . It also offers images and examples pertinent to a fictitious district with 200,000 inhabitants .

The book begins by outlining the significance of the Sustainable Development Goals (SDGs) of the UN and the Universal Health Coverage (UHC) principles of the World Health Organization , before concentrating on the function of district health systems in assisting national primary healthcare and the use of epidemiological and demographic data in the planning of local and national health services and programs .

The gathering of health data , infectious disease outbreaks , the use of research and health surveys , data analysis and statistics and the significance of disseminating health results and policy are all covered in the many chapters .

It demonstrates how district health planning and primary care can be strengthened and how progress can be monitored and evaluated , including for improvements in access , quality and coverage of health services and public health programs . It does this by combining a systems approach with epidemiological methods . The book takes into account dealing with disparities and ethical values .

There is also a comprehensive chapter on the A , B and C of epidemiological terminologies and definitions . This book will be especially useful for brief in-service courses and revision sessions for a variety of health workers as well as undergraduate and graduate health professional training programs .

See Also : Computational Epidemiology : Data-Driven Modeling of COVID-19 (Original PDF from Publisher)