Spat Spatiotemporal Epidemiol - Efficient mapping and geographic disparities in breast cancer mortality at the county-level by race and age in the U.S.

Tópicos

{ risk(3053) factor(974) diseas(938) }
{ cancer(2502) breast(956) screen(824) }
{ age(1611) year(1155) adult(843) }
{ spatial(1525) area(1432) region(1030) }
{ data(1737) use(1416) pattern(1282) }
{ estim(2440) model(1874) function(577) }
{ can(774) often(719) complex(702) }
{ sequenc(1873) structur(1644) protein(1328) }
{ assess(1506) score(1403) qualiti(1306) }
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{ cost(1906) reduc(1198) effect(832) }
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{ record(1888) medic(1808) patient(1693) }
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{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ data(2317) use(1299) case(1017) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ group(2977) signific(1463) compar(1072) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ can(981) present(881) function(850) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ use(976) code(926) identifi(902) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ method(2212) result(1239) propos(1039) }

Resumo

This study identified geographic disparities in breast cancer mortality across the U.S. using kriging to overcome unavailability of data because of confidentiality and reliability concerns. A structured additive regression model was used to detect where breast cancer mortality rates were elevated across nine divisions with 3109 U.S. counties during 1982-2004. Our analysis identified at least 25.8% of counties where breast cancer mortality rates were elevated. High-risk counties compared to lower-risk counties had higher relative risks for African American women than for White women. Greater geographic disparities more likely present in African American women and younger women. To sum up, our statistical approach reduced the impact of unavailable data, and identified the number and location of counties with high breast cancer mortality risk by race and age across the U.S.

Resumo Limpo

studi identifi geograph dispar breast cancer mortal across us use krige overcom unavail data confidenti reliabl concern structur addit regress model use detect breast cancer mortal rate elev across nine divis us counti analysi identifi least counti breast cancer mortal rate elev highrisk counti compar lowerrisk counti higher relat risk african american women white women greater geograph dispar like present african american women younger women sum statist approach reduc impact unavail data identifi number locat counti high breast cancer mortal risk race age across us

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