From joav@amauta.rcp.net.pe Fri Jul 2 20:06:08 2004 Received: from mxe5.u.washington.edu (mxe5.u.washington.edu [140.142.32.168]) by lists.u.washington.edu (8.12.11+UW04.02/8.12.11+UW04.05) with ESMTP id i63367c1104318 for ; Fri, 2 Jul 2004 20:06:07 -0700 Received: from kuntur.rcp.net.pe (kuntur.rcp.net.pe [200.1.178.4]) by mxe5.u.washington.edu (8.12.11+UW04.02/8.12.11+UW04.03) with ESMTP id i63363nK020907 for ; Fri, 2 Jul 2004 20:06:05 -0700 Received: from [200.121.153.102] (helo=host) by kuntur.rcp.net.pe with asmtp (Exim 4.24) id 1Bgaqm-000PsC-74 for waphgis@u.washington.edu; Fri, 02 Jul 2004 22:06:00 -0500 From: "Jorge Alarcon" To: Subject: RE: WAPHGIS: The Public HealthDisparities Geocoding Monograph Date: Fri, 2 Jul 2004 22:06:11 -0500 Message-ID: <000001c460aa$b2672ef0$669979c8@host> MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----=_NextPart_000_0001_01C46080.C99126F0" X-Priority: 3 (Normal) X-MSMail-Priority: Normal X-Mailer: Microsoft Outlook, Build 10.0.6626 In-Reply-To: <200407011556.i61FuU30015257@mxe7.u.washington.edu> X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2800.1409 X-Uwash-Spam: Gauge=XIIII, Probability=14%, Report='NO_COST 1.232, BIG_FONT 0.146, LINES_OF_YELLING 0.001, MAILTO_LINK 0.001, __MIME_VERSION 0, __CTYPE_MULTIPART_ALT 0, __EVITE_CTYPE 0, __NEXTPART_ALL 0, __CT 0, __CTYPE_HAS_BOUNDARY 0, __CTYPE_MULTIPART 0, __NEXTPART_NORMAL 0, __HAS_X_PRIORITY 0, __HAS_MSMAIL_PRI 0, __OUTLOOK_MUA_1 0, __HAS_X_MAILER 0, __ANY_OUTLOOK_MUA 0, __HAS_OUTLOOK_IN_MAILER 0, __IN_REP_TO 0, __HAS_MIMEOLE 0, __TO_MALFORMED_2 0, __HAS_MSGID 0, __OUTLOOK_MSGID_1 0, __TAG_EXISTS_BODY 0, __TAG_EXISTS_META 0, __MIME_HTML 0, __TAG_EXISTS_HTML 0, __TAG_EXISTS_HEAD 0, __SANE_MSGID 0, __RATWARE_SIGNATURE_3_N1 0, __OUTLOOK_MUA 0, IN_REP_TO 0' This is a multi-part message in MIME format. ------=_NextPart_000_0001_01C46080.C99126F0 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Dear Dick: =20 Really very interesting site. I have a question. I have two data set = from one rural populations. One is about demographic and social = characteristics of population; another is about clinical and toxicological = characteristics of de individuals. I would like to know if it will be appropriate to = perform a multilevel analysis, and, in that case, if you can help me.=20 =20 Best regards, =20 =20 Jorge Alarc=F3n Nuevo correo: joav@speedy.com.pe =20 -----Mensaje original----- De: WAPHGIS-owner@u.washington.edu = [mailto:WAPHGIS-owner@u.washington.edu] En nombre de Richard Hoskins Enviado el: jueves, 01 de julio de 2004 10:51 Para: waphgis@u.washington.edu Asunto: WAPHGIS: The Public HealthDisparities Geocoding Monograph =20 See below - very interesting site.=20 =20 Dick Hoskins WA State DOH Olympia, WA=20 ANNOUNCING: THE PUBLIC HEALTH DISPARITIES GEOCODING PROJECT MONOGRAPH Available at: http://www.hsph.harvard.edu/thegeocodingproject ** A new tool for monitoring socioeconomic inequalities in health ** We are excited to announce the availability of a free, on-line monograph sharing the concepts, methods, and US census tract poverty data for improving monitoring of - and research on - social disparities in = health. The monograph draws on the work of The Public Health Disparities = Geocoding Project, based at the Harvard School of Public Health. This project was designed to ascertain which area-based socioeconomic measures (ABSMs), = at which geographic level (census block group, census tract, or ZIP Code), would be most apt for monitoring US socioeconomic inequalities in the health. Based on analyses for outcomes ranging from low birth weight to cancer incidence to all-cause and cause-specific mortality, we found that the census tract poverty measure best met our criteria for a valid, robust, easy to construct, and easy to interpret measure suitable for monitoring and analyzing social disparities in health. In this monograph, we explain the concepts guiding our project and the methods we used, plus provide a data set and instructions for learning = how to generate incidence rates stratified by the census tract poverty measure. Also included, at no cost, are: (1) census tract poverty data (categorical & continuous) for all US census tracts included in the = 1980, 1990, and 2000 census, ready for linkage to any geocoded data set, and = (2) ..pdf files of our scientific publications. We invite you to check out our monograph; see: http://www.hsph.harvard.edu/thegeocodingproject Also available for downloading, via the monograph, at NO cost, are .pdf files of our scientific, peer-reviewed publications: --Krieger N, Chen JT, Waterman PD, Rehkopf DH, Subramanian SV. Painting = a truer picture of US socioeconomic and racial/ethnic health inequalities: the Public Health Disparities Geocoding Project. Am J Public Health (in press; .pdf will be available when article is published in February = 2005). --Krieger N, Chen JT, Waterman PD, Rehkopf DH, Subramanian SV. Race/ethnicity, gender, and monitoring socioeconomic gradients in = health: a comparison of area-based socioeconomic measures-The Public Health Disparities Geocoding Project. Am J Public Health 2003; 93:1655-1671. --Krieger N, Waterman PD, Chen JT, Soobader MJ, Subramanian S. = Monitoring Socioeconomic Inequalities in Sexually Transmitted Infections, Tuberculosis, and Violence: Geocoding and Choice of Area-Based Socioeconomic Measures--The Public Health Disparities Geocoding Project (US). Public Health Rep 2003; 118:240-260. --Krieger N, Chen JT, Waterman PD, Soobader MJ, Subramanian SV, Carson = R. Choosing area based socioeconomic measures to monitor social = inequalities in low birth weight and childhood lead poisoning: The Public Health Disparities Geocoding Project (US). J Epidemiol Community Health 2003; 57:186-199. --Krieger N, Chen JT, Waterman PD, Soobader MJ, Subramanian SV, Carson = R. Geocoding and monitoring of US socioeconomic inequalities in mortality = and cancer incidence: does the choice of area-based measure and geographic level matter?: The Public Health Disparities Geocoding Project. Am J Epidemiol 2002; 156:471-482. --Krieger N, Waterman P, Chen JT, Soobader MJ, Subramanian SV, Carson R. Zip code caveat: bias due to spatiotemporal mismatches between zip codes and US census-defined geographic areas--The Public Health Disparities Geocoding Project. Am J Public Health 2002; 92:1100-1102. --Krieger N, Waterman P, Lemieux K, Zierler S, Hogan JW. On the wrong = side of the tracts? Evaluating the accuracy of geocoding in public health research. Am J Public Health 2001; 91:1114-1116. --Krieger N, Zierler S, Hogan JW, Waterman P, Chen J, Lemieux K, = Gjelsvik A. Geocoding and measurement of neighborhood socioeconomic position. = In: Kawachi I, Berkman LF (eds). Neighborhoods and Health. New York: Oxford University Press, 2003; 147-178. --Subramanian SV, Chen JT, Rehkopf DH, Waterman PD, Krieger N. Neighborhood disparities in context: multilevel analysis of census tract variations in black excess mortality and poverty. Am J Public Health (in press; .pdf file will be available as soon as article is published in = fall 2004). ------=_NextPart_000_0001_01C46080.C99126F0 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

Dear Dick:

 

Really very = interesting site. I have a question. =A0I have two data set from one rural = populations. =A0One is about demographic and social characteristics of population; another = is about clinical and toxicological characteristics of de individuals. I would = like to know if it will be appropriate to perform a multilevel analysis, and, in that = case, if you can help me.

 

Best = regards,

 

 

Jorge = Alarc=F3n

Nuevo correo:  = joav@speedy.com.pe=

 

-----Mensaje = original-----
De: = WAPHGIS-owner@u.washington.edu [mailto:WAPHGIS-owner@u.washington.edu] En nombre de Richard Hoskins
Enviado el: jueves, 01 de = julio de 2004 10:51
Para: = waphgis@u.washington.edu
Asunto: WAPHGIS: The = Public HealthDisparities Geocoding Monograph

 

See below - very interesting site.

 

Dick = Hoskins

WA State = DOH

Olympia, WA


ANNOUNCING:

THE PUBLIC HEALTH DISPARITIES GEOCODING PROJECT MONOGRAPH


Available at: http://www.hsph.harvard.edu/thegeocodingproject


** A new tool for monitoring socioeconomic inequalities in health **


We are excited to announce the availability of a free, on-line = monograph
sharing the concepts, methods, and US census tract poverty data for
improving monitoring of - and research on - social disparities in = health.


The monograph draws on the work of The Public Health Disparities = Geocoding
Project, based at the Harvard School of Public Health. This project = was
designed to ascertain which area-based socioeconomic measures (ABSMs), = at
which geographic level (census block group, census tract, or ZIP = Code),
would be most apt for monitoring US socioeconomic inequalities in = the
health.


Based on analyses for outcomes ranging from low birth weight to = cancer
incidence to all-cause and cause-specific mortality, we found that = the
census tract poverty measure best met our criteria for a valid, = robust,
easy to construct, and easy to interpret measure suitable for = monitoring
and analyzing social disparities in health.


In this monograph, we explain the concepts guiding our project and = the
methods we used, plus provide a data set and instructions for learning = how
to generate incidence rates stratified by the census tract poverty
measure. Also included, at no cost, are: (1) census tract poverty = data
(categorical & continuous) for all US census tracts included in the = 1980,
1990, and 2000 census, ready for linkage to any geocoded data set, and = (2)
..pdf files of our scientific publications.


We invite you to check out our monograph; see:

http://www.hsph.harvard.edu/thegeocodingproject


Also available for downloading, via the monograph, at NO cost, are = ..pdf
files of our scientific, peer-reviewed publications:

--Krieger N, Chen JT, Waterman PD, Rehkopf DH, Subramanian SV. Painting = a
truer picture of US socioeconomic and racial/ethnic health = inequalities:
the Public Health Disparities Geocoding Project. Am J Public Health = (in
press; .pdf will be available when article is published in February = 2005).

--Krieger N, Chen JT, Waterman PD, Rehkopf DH, Subramanian SV.
Race/ethnicity, gender, and monitoring socioeconomic gradients in = health:
a comparison of area-based socioeconomic measures-The Public Health
Disparities Geocoding Project. Am J Public Health 2003; = 93:1655-1671.

--Krieger N, Waterman PD, Chen JT, Soobader MJ, Subramanian S. = Monitoring
Socioeconomic Inequalities in Sexually Transmitted Infections,
Tuberculosis, and Violence: Geocoding and Choice of Area-Based
Socioeconomic Measures--The Public Health Disparities Geocoding = Project
(US). Public Health Rep 2003; 118:240-260.

--Krieger N, Chen JT, Waterman PD, Soobader MJ, Subramanian SV, Carson = R.
Choosing area based socioeconomic measures to monitor social = inequalities
in low birth weight and childhood lead poisoning: The Public Health
Disparities Geocoding Project (US). J Epidemiol Community Health = 2003;
57:186-199.

--Krieger N, Chen JT, Waterman PD, Soobader MJ, Subramanian SV, Carson = R.
Geocoding and monitoring of US socioeconomic inequalities in mortality = and
cancer incidence: does the choice of area-based measure and = geographic
level matter?: The Public Health Disparities Geocoding Project. Am J
Epidemiol 2002; 156:471-482.

--Krieger N, Waterman P, Chen JT, Soobader MJ, Subramanian SV, Carson = R.
Zip code caveat: bias due to spatiotemporal mismatches between zip = codes
and US census-defined geographic areas--The Public Health = Disparities
Geocoding Project. Am J Public Health 2002; 92:1100-1102.

--Krieger N, Waterman P, Lemieux K, Zierler S, Hogan JW. On the wrong = side
of the tracts? Evaluating the accuracy of geocoding in public health
research. Am J Public Health 2001; 91:1114-1116.

--Krieger N, Zierler S, Hogan JW, Waterman P, Chen J, Lemieux K, = Gjelsvik
A.  Geocoding and measurement of neighborhood socioeconomic = position. In:
Kawachi I, Berkman LF (eds). Neighborhoods and Health. New York: = Oxford
University Press, 2003; 147-178.

--Subramanian SV, Chen JT, Rehkopf DH, Waterman PD, Krieger N.
Neighborhood disparities in context: multilevel analysis of census = tract
variations in black excess mortality and poverty. Am J Public Health = (in
press; .pdf file will be available as soon as article is published in = fall
2004).

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