The World Health Organization and global health estimates: improving collaboration and capacity

BMC Medicine

Colin D Mathers¹  Ties Boerma¹ 

[1]Department of Health Statistics and Information Systems, World Health Organization Geneva, 20 Avenue Appia, Geneva, 1211, Switzerland

关键词: Statistical modelling;    Population health monitoring;    Health statistics;    Global health estimates;    Global health;   

Others  :  1136254
DOI  :  10.1186/s12916-015-0286-7

 received in 2015-01-31, accepted in 2015-01-31,  发布年份 2015

【 摘 要 】

Global, regional, and country statistics on population and health indicators are important for assessing development and health progress and for guiding resource allocation; however, data are often lacking, especially in low- and middle-income countries. To fill the gaps, statistical modelling is frequently used to produce comparable health statistics across countries that can be combined to produce regional and global statistics. The World Health Organization (WHO), in collaboration with other United Nations agencies and academic experts, regularly updates estimates for key indicators and involves its Member States in the process. Academic institutions also publish estimates independent from the WHO using different methods. The use of sophisticated statistical estimation methods to fill missing values for countries can reduce the pressures on governments and development agencies to improve information systems. Efforts to improve estimates must be accompanied by concerted attempts to address data gaps, common standards for documentation, sharing of data and methods, and regular interaction and collaboration among all groups involved.

【 授权许可】

   
2015 Boerma and Mathers; licensee BioMed Central.

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