02279nas a2200397   4500000000100000008004100001260001300042653001500055653001000070653000900080653002200089653001100111653001000122653002100132653002500153653001100178653001100189653002800200653001200228653000900240653001600249653001500265653003000280653001600310100001600326700001300342700002100355700001300376700001400389245017600403856004600579300001100625490000700636520122400643022001401867       2009                            d  c2009 May10aAdolescent10aAdult10aAged10aAged, 80 and over10aBrazil10aChild10aChild, Preschool10aDisease Notification10aFemale10aHumans10aIndians, South American10aleprosy10aMale10aMiddle Aged10aPrevalence10aSeverity of Illness Index10aYoung Adult1 aImbiriba EB1 aBasta PC1 aSantos Pereira E1 aLevino A1 aGarnelo L00a[Leprosy in indigenous populations of Amazonas State, Brazil: an epidemiological study in the counties of Autazes, Eirunepé and São Gabriel da Cachoeira (2000 to 2005)].  uhttp://www.scielo.br/pdf/csp/v25n5/04.pdf  a972-840 v253 a<p>In 2005, Amazonas State, Brazil, showed hyperendemic leprosy detection coefficients and prevalence with medium endemicity. Although this State has the largest indigenous population in Brazil, there are no data on the leprosy profile in these groups. This study aimed to describe and analyze the epidemiological characteristics of leprosy case reporting in the municipalities (counties) of Autazes, Eirunepé, and São Gabriel da Cachoeira, comparing indigenous and non-indigenous findings according to target variables. A total of 386 cases reported to SINAN from 2000 to 2005 were analyzed. Mean detection rates were 3.55, 14.94, and 2.13/10,000 (among non-indigenous) and 10.95, 1.93, and 0.78/10,000 (among indigenous peoples) in Autazes, Eirunepé, and São Gabriel da Cachoeira, respectively. Paucibacillary cases predominated among both indigenous and non-indigenous populations; however, dimorphous cases represented one-third of notifications. Despite coverage limitations and underreporting, the findings suggest that leprosy is a major public health problem for indigenous populations in Amazonas State. Classification according to race/ethnicity has been a useful tool for solving health inequalities.</p>  a1678-4464