@inbook {GakKin03,
	title = {Determinants of Inequality in Child Survival: Results from 39 Countries},
	booktitle = {Health Systems Performance Assessment: Debates, Methods and Empiricism},
	year = {2003},
	pages = {497-502},
	publisher = {World Health Organization},
	organization = {World Health Organization},
	chapter = {36},
	address = {Geneva},
	abstract = {Few would disagree that health policies and programmes ought to be based on valid, timely and relevant information, focused on those aspects of health development that are in greatest need of improvement. For example, vaccination programmes rely heavily on information on cases and deaths to document needs and to monitor progress on childhood illness and mortality. The same strong information basis is necessary for policies on health inequality. The reduction of health inequality is widely accepted as a key goal for societies, but any policy needs reliable research on the extent and causes of health inequality. Given that child deaths still constitute 19\% of all deaths globally and 24\% of all deaths in developing countries (1), reducing inequalities in child survival is a good beginning.[[{"fid":"685008","view_mode":"default","type":"media","attributes":{"height":"74","width":"348","alt":"total = between + within","class":"media-element file-default"}}]]The between-group component of total health inequality has been studied extensively by numerous scholars. They have expertly analysed the causes of differences in health status and mortality across population subgroups, defined by income, education, race/ethnicity, country, region, social class, and other group identifiers (2{\textendash}9).\&nbsp;},
	author = {Emmanuela Gakidou and Gary King},
	editor = {Christopher J.L. Murray and David B. Evans}
}
