com.imsweb.algorithms.napiia.NapiiaUtils Maven / Gradle / Ivy
/*
* Copyright (C) 2013 Information Management Services, Inc.
*/
package com.imsweb.algorithms.napiia;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.Reader;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import com.opencsv.CSVReader;
/**
* This class is used to calculate the NAPIIA variable. More information can be found here:
* http://www.naaccr.org/Research/DataAnalysisTools.aspx
*
* This Java implementation is based ONLY on the SAS implementation of the algorithm; the PDF documentation was not accurate when
* this algorithm was implemented and therefore was not taken into account.
*/
public final class NapiiaUtils {
public static final String ALG_NAME = "NAACCR Asian/Pacific Islander Identification Algorithm";
public static final String ALG_VERSION = "17";
public static final String ALG_INFO = "NHAPIIA v17 released in April 2017";
public static final String PROP_RACE1 = "race1";
public static final String PROP_RACE2 = "race2";
public static final String PROP_RACE3 = "race3";
public static final String PROP_RACE4 = "race4";
public static final String PROP_RACE5 = "race5";
public static final String PROP_SPANISH_HISPANIC_ORIGIN = "spanishHispanicOrigin";
public static final String PROP_BIRTH_PLACE_COUNTRY = "birthplaceCountry";
public static final String PROP_SEX = "sex";
public static final String PROP_NAME_LAST = "nameLast";
public static final String PROP_NAME_MAIDEN = "nameMaiden";
public static final String PROP_NAME_FIRST = "nameFirst";
public static final String REASON_1_3_3 = "More than one race 04-32 and one race 96 or 97 (step 1.3.3).";
public static final String REASON_1_3_5 = "One or more races 02-03 and one race 96 (step 1.3.5).";
public static final String REASON_1_3_6 = "One race 96 and one race 97 (step 1.3.6).";
public static final String REASON_1_3_7 = "Multiple combination of races involving race 96 (step 1.3.7).";
public static final String REASON_2_2_3 = "Multiple combination of races (step 2.2.3).";
private static final String _GENDER_MALE = "1";
private static final String _GENDER_FEMALE = "2";
// special birth place countries corresponding to a given race (indirect identification based on birth place) - Asian
private static final String[][] _BPC_ASIAN = {{"XCH", "04"}, // Chinese
{"CHN", "04"}, // Chinese
{"HKG", "04"}, // Chinese
{"TWN", "04"}, // Chinese
{"MAC", "04"}, // Chinese
{"JPN", "05"}, // Japanese
{"PHL", "06"}, // Filipino
{"KOR", "08"}, // Korean
{"PRK", "08"}, // Korean
{"VNM", "10"}, // Vietnamese
{"KHM", "13"}, // Kampuchean
{"THA", "14"}, // Thai
{"IND", "16"}, // Asian Indian
{"PAK", "17"} // Pakistan
};
private static final Map _BPC_MAP_ASIAN = new HashMap<>();
static {
for (String[] s : _BPC_ASIAN)
_BPC_MAP_ASIAN.put(s[0], s[1]);
}
// special birth place countries corresponding to a given race (indirect identification based on birth place) - Asian
private static final String[][] _BPC_PACIFIC_ISLANDER = {{"ASM", "27"}, // Samoan
{"KIR", "20"}, // Micronesian, NOS
{"FSM", "20"}, // Micronesian, NOS
{"MHL", "20"}, // Micronesian, NOS
{"PLW", "20"}, // Micronesian, NOS
{"XMC", "20"}, // Micronesian, NOS
{"NRU", "20"}, // Micronesian, NOS
{"COK", "25"}, // Polynesian, NOS
{"TUV", "25"}, // Polynesian, NOS
{"TKL", "25"}, // Polynesian, NOS
{"XPL", "25"}, // Polynesian, NOS
{"PYF", "25"}, // Polynesian, NOS
{"NFK", "25"}, // Polynesian, NOS
{"PCN", "25"}, // Polynesian, NOS
{"WSM", "25"}, // Polynesian, NOS
{"TON", "25"} // Polynesian, NOS
};
private static final Map _BPC_MAP_PACIFIC_ISLANDER = new HashMap<>();
static {
for (String[] s : _BPC_PACIFIC_ISLANDER)
_BPC_MAP_PACIFIC_ISLANDER.put(s[0], s[1]);
}
//Asian birth place countries excluded from indirect identification based on names
private static final List _BPC_EXCLUDE_ASIAN = Arrays.asList("MDV", "NPL", "BTN", "BGD", "LKA", "MMR", "XMS", "MYS", "SGP", "BND", "IDN", "TLS", "MNG");
//Hispanic birth place countries excluded from identification based on names
private static final List _BPC_EXCLUDE_HISP = Arrays.asList("PRI", "MEX", "CUB", "DOM", "ZZC", "GTM", "HND", "SLV", "NIC", "CRI", "PAN", "ZZS", "COL", "VEN", "ECU", "PER", "BOL", "CHL",
"ARG", "PRY", "URY", "ESP", "AND");
private static final List _SPANISH_ORIGIN_IS_SPANISH = Arrays.asList("1", "2", "3", "4", "5", "6", "8");
//lookups
private static Map _LKUP_NAPIIA_SURNAME_CENSUS_ASIAN = new HashMap<>();
private static Map _LKUP_NAPIIA_SURNAME_CENSUS_PI = new HashMap<>();
private static Map _LKUP_NAPIIA_SURNAME_LAUD = new HashMap<>();
private static Map _LKUP_NAPIIA_GIVEN_LAUD_MALE = new HashMap<>();
private static Map _LKUP_NAPIIA_GIVEN_LAUD_FEMALE = new HashMap<>();
private static Map _LKUP_NAPIIA_SURNAME_NAACCR = new HashMap<>();
private static Map _LKUP_NAPIIA_GIVEN_NAACCR = new HashMap<>();
/**
* Calculates the NAPIIA value for the provided record.
*
* The provided record doesn't need to contain all the input variables, but the algorithm wil use the following ones:
*
* - race1 (#160)
* - race2 (#160)
* - race3 (#160)
* - race4 (#160)
* - race5 (#160)
* - spanishHispanicOrigin (#190)
* - birthplaceCountry (#254)
* - sex (#220)
* - nameLast (#2230)
* - nameMaiden (#2390)
* - nameFirst (#2240)
*
* All those properties are defined as constants in this class.
*
* Note that some of those properties are part of the full NAACCR Abstract; providing only Indicence information is not enough
* for this algorithm.
*
* This algorithm returns a result containing the calculated value, a boolean indication whether a human review is required, in which case
* a reason is also provided.
* @param record a map of properties representing a NAACCR line
* @return the computed NAPIIA Results Dto, which has a calculated napiia value, a boolean which indicates whether a human review is needed or not and a reason if human review is required
*/
public static NapiiaResultsDto computeNapiia(Map record) {
NapiiaInputRecordDto input = new NapiiaInputRecordDto();
input.setRace1(record.get(PROP_RACE1));
input.setRace2(record.get(PROP_RACE2));
input.setRace3(record.get(PROP_RACE3));
input.setRace4(record.get(PROP_RACE4));
input.setRace5(record.get(PROP_RACE5));
input.setSpanishHispanicOrigin(record.get(PROP_SPANISH_HISPANIC_ORIGIN));
input.setBirthplaceCountry(record.get(PROP_BIRTH_PLACE_COUNTRY));
input.setSex(record.get(PROP_SEX));
input.setNameLast(record.get(PROP_NAME_LAST));
input.setNameMaiden(record.get(PROP_NAME_MAIDEN));
input.setNameFirst(record.get(PROP_NAME_FIRST));
return computeNapiia(input);
}
/**
* Calculates the NAPIIA value for the provided Patient.
*
* The provided patient doesn't need to contain all the input variables, but the algorithm wil use the following ones:
*
* - race1 (#160)
* - race2 (#160)
* - race3 (#160)
* - race4 (#160)
* - race5 (#160)
* - spanishHispanicOrigin (#190)
* - birthplaceCountry (#254)
* - sex (#220)
* - nameLast (#2230)
* - nameMaiden (#2390)
* - nameFirst (#2240)
*
* All those properties are defined as constants in this class.
*
* Note that some of those properties are part of the full NAACCR Abstract; providing only Indicence information is not enough
* for this algorithm.
*
* This algorithm returns a result containing the calculated value, a boolean indication whether a human review is required, in which case
* a reason is also provided.
* @param patient a list of map of properties representing a NAACCR line
* @return the computed NAPIIA Results Dto, which has a calculated napiia value, a boolean which indicates whether a human review is needed or not and a reason if human review is required
*/
public static NapiiaResultsDto computeNapiia(List> patient) {
NapiiaInputRecordDto input = new NapiiaInputRecordDto();
//Since the following properties are the same for all records lets use one of them and build a record input dto
if (patient != null && !patient.isEmpty()) {
input.setRace1(patient.get(0).get(PROP_RACE1));
input.setRace2(patient.get(0).get(PROP_RACE2));
input.setRace3(patient.get(0).get(PROP_RACE3));
input.setRace4(patient.get(0).get(PROP_RACE4));
input.setRace5(patient.get(0).get(PROP_RACE5));
input.setSpanishHispanicOrigin(patient.get(0).get(PROP_SPANISH_HISPANIC_ORIGIN));
input.setBirthplaceCountry(patient.get(0).get(PROP_BIRTH_PLACE_COUNTRY));
input.setSex(patient.get(0).get(PROP_SEX));
input.setNameLast(patient.get(0).get(PROP_NAME_LAST));
input.setNameMaiden(patient.get(0).get(PROP_NAME_MAIDEN));
input.setNameFirst(patient.get(0).get(PROP_NAME_FIRST));
}
return computeNapiia(input);
}
/**
* Calculates the NAPIIA value for the provided Patient DTO.
*
* The provided patient dto has a list of record input dto. The record Dto has the following parameters.
*
* - _race1
* - _race2
* - _race3
* - _race4
* - _race5
* - _spanishHispanicOrigin
* - _birthplaceCountry
* - _sex
* - _nameLast
* - _nameMaiden
* - _nameFirst
*
*
* This algorithm returns a result containing the calculated value, a boolean indication whether a human review is required, in which case
* a reason is also provided.
* @param patient Dto
* @return the computed NAPIIA Results Dto, which has a calculated napiia value, a boolean which indicates whether a human review is needed or not and a reason if human review is required
*/
public static NapiiaResultsDto computeNapiia(NapiiaInputPatientDto patient) {
NapiiaInputRecordDto input = new NapiiaInputRecordDto();
//Since the properties used to calculate napiia are the same for all record of a patient lets use one of them and build a record input dto
if (patient != null && patient.getNapiiaInputPatientDtoList() != null && !patient.getNapiiaInputPatientDtoList().isEmpty())
input = patient.getNapiiaInputPatientDtoList().get(0);
return computeNapiia(input);
}
/**
* Calculates the NAPIIA value for the provided Record DTO.
*
* The provided record Dto has the following parameters.
*
* - _race1
* - _race2
* - _race3
* - _race4
* - _race5
* - _spanishHispanicOrigin
* - _birthplaceCountry
* - _sex
* - _nameLast
* - _nameMaiden
* - _nameFirst
*
*
* This algorithm returns a result containing the calculated value, a boolean indication whether a human review is required, in which case
* a reason is also provided.
* @param input the NapiiaInputRecordDto input DTO object
* @return the computed NAPIIA Results Dto, which has a calculated napiia value, a boolean which indicates whether a human review is needed or not and a reason if human review is required
*/
public static NapiiaResultsDto computeNapiia(NapiiaInputRecordDto input) {
NapiiaResultsDto napiiaResults = new NapiiaResultsDto();
//NPE
if (input == null)
return napiiaResults;
String napiia = null, reason = null;
boolean runBirthPlaceCountries = false;
boolean runNames = false;
// get spanish/hispanic origin and race 1
String spanishOrigin = input.getSpanishHispanicOrigin();
String race1 = input.getRace1();
// gather a few stats
List races = Arrays.asList(input.getRace1(), input.getRace2(), input.getRace3(), input.getRace4(), input.getRace5());
int r01 = 0, r0203 = 0, r0432 = 0, r07 = 0, r88 = 0, r96 = 0, r97 = 0, r98 = 0, r99 = 0;
String r0203val = null, r0432val = null, r07val = null;
for (String r : races) {
if (r == null || r.equals("88") || r.trim().isEmpty())
r88++;
else if (r.equals("99"))
r99++;
else if (r.equals("98"))
r98++;
else if (r.equals("97"))
r97++;
else if (r.equals("96"))
r96++;
else if (r.compareTo("04") >= 0 && r.compareTo("32") <= 0) {
r0432++;
if (r0432val == null)
r0432val = r;
if (r.equals("07")) {
r07++;
if (r07val == null)
r07val = r;
}
}
else if (r.equals("02") || r.equals("03")) {
r0203++;
if (r0203val == null)
r0203val = r;
}
else if (r.equals("01"))
r01++;
}
// step 1 - Identify cases containing race code 96 or 97
if (r96 > 0 || r97 > 0) {
// step 1.1 - Single race code of 96
if (r96 == 1 && r88 == 4 && "96".equals(race1)) {
napiia = "96";
if (!_SPANISH_ORIGIN_IS_SPANISH.contains(spanishOrigin))
runBirthPlaceCountries = true;
}
// step 1.2 - Single race code of 97
else if (r97 == 1 && r88 == 4 && "97".equals(race1)) {
napiia = "97";
if (!_SPANISH_ORIGIN_IS_SPANISH.contains(spanishOrigin))
runBirthPlaceCountries = true;
}
// step 1.3 - Race code of 96 or 97 in combination with one or more other race codes
else {
// step 1.3.1 - One race code is 04-32, one race code is 96 or 97; others are blank or 88
if (r0432 == 1 && (r96 == 1 || r97 == 1) && r88 == 3)
napiia = r0432val;
// step 1.3.2 - One Race code is 07; one race code is 96 or 97;
else if (r07 >= 1 && (r96 == 1 || r97 == 1))
napiia = r07val;
// step 1.3.3 - More than one race code is 04-32; one race code is 96 or 97; others are blank or 88.
else if (r0432 > 1 && (r96 == 1 || r97 == 1) && (r0432 + r88 == 4) && r07 == 0)
reason = REASON_1_3_3;
// step 1.3.4 - One race code is 01; one race code is 96 or 97; others are blank or 88
else if (r01 == 1 && (r96 == 1 || r97 == 1) && r88 == 3) {
napiia = r96 == 1 ? "96" : "97"; //(#215)
runBirthPlaceCountries = true;
}
// step 1.3.5 - One or more race codes is 02-03; one race code is 96 or 97; others are blank or 88
else if (r0203 >= 1 && (r96 == 1 || r97 == 1) && (r0203 + r88 == 4))
reason = REASON_1_3_5;
// step 1.3.6 - One race code is 96; one race code is 97; others are any value
else if (r96 == 1 && r97 == 1)
reason = REASON_1_3_6;
// step 1.3.7 - Any multiple race combination involving code 96 or 97 not listed above
else
reason = REASON_1_3_7;
}
}
// step 2 - Directly code cases not containing code 96 or 97
else {
// step 2.1 - Direct Code Single Race Cases
if (((r01 == 1 || r0203 == 1 || r0432 == 1 || r98 == 1 || r99 == 1) && r88 == 4) || r99 == 5)
napiia = race1;
// step 2.2 - Multiple Race Cases
else {
// step 2.2.1 - One race code is 01, one race code is 02-32; others are blank or 88
if (r01 == 1 && (r0203 == 1 || r0432 == 1) && r88 == 3)
napiia = r0203 == 1 ? r0203val : r0432val;
// step 2.2.2 - One race code is 07, and at least one other race code in race2-race5
else if (r07 == 1 && r88 < 4)
napiia = r07val;
// step 2.2.3 - All other multiple race combinations
else if (r88 < 4 || r88 == 5)
// RACE1 will take precedence.
reason = REASON_2_2_3;
}
}
// step 3 - Indirect Identification Based on Birthplace
String birthplaceCountry = input.getBirthplaceCountry();
if (runBirthPlaceCountries) {
// step 3.1 - Included Asian and Pacific Island Birthplaces
if (r96 > 0 && _BPC_MAP_ASIAN.containsKey(birthplaceCountry))
napiia = _BPC_MAP_ASIAN.get(birthplaceCountry);
else if (r97 > 0 && _BPC_MAP_PACIFIC_ISLANDER.containsKey(birthplaceCountry))
napiia = _BPC_MAP_PACIFIC_ISLANDER.get(birthplaceCountry);
// step 3.2 - Excluded Asian and Pacific Island Birthplaces
// step 3.3 - Excluded Hispanic Birthplaces
else if (_BPC_EXCLUDE_ASIAN.contains(birthplaceCountry) || _BPC_EXCLUDE_HISP.contains(birthplaceCountry)) {
if (napiia == null) //(#215)
napiia = race1;
}
else
runNames = true;
}
// step 4 - Indirect Identification Based on Name
String sex = input.getSex();
String nameResult = null;
if (runNames) {
if (_GENDER_MALE.equals(sex))
nameResult = applyMaleNameIdentification(input, r96 > 0, r97 > 0);
else if (_GENDER_FEMALE.equals(sex))
nameResult = applyFemaleNameIdentification(input, r96 > 0, r97 > 0);
else
nameResult = applyNotMaleNotFemaleNameIdentification(input, r96 > 0, r97 > 0);
}
//Assign the run names result to the napiia value if it is not null
if (nameResult != null)
napiia = nameResult;
// NAPIIA wasn't set and there were an error reason, should default to race1
if (reason != null && napiia == null)
napiia = race1;
// If result is still null or missing at this point, default to unknown
if (napiia == null)
napiia = "";
napiiaResults.setNapiiaValue(napiia);
if (reason != null) {
napiiaResults.setNeedsHumanReview(true);
napiiaResults.setReasonForReview(reason);
}
return napiiaResults;
}
/**
* Executes the male indirect identification based on name.
* @return new NAPIIA code, possible the not-calculated code
*/
private static String applyMaleNameIdentification(NapiiaInputRecordDto input, boolean asianNOS, boolean pacificIslanderNOS) {
Short result = null;
String lastname = input.getNameLast();
String firstname = input.getNameFirst();
if (lastname != null && !lastname.trim().isEmpty()) {
// M1 - Surname in Census surname
if (asianNOS)
result = codeName(lastname, _LKUP_NAPIIA_SURNAME_CENSUS_ASIAN);
if (pacificIslanderNOS && result == null)
result = codeName(lastname, _LKUP_NAPIIA_SURNAME_CENSUS_PI);
// M2 - Surname in Lauderdale surname
if (asianNOS && result == null)
result = codeName(truncateName(lastname), _LKUP_NAPIIA_SURNAME_LAUD);
// M3 - Surname in NAACCR surname
if (asianNOS && result == null)
result = codeName(lastname, _LKUP_NAPIIA_SURNAME_NAACCR);
}
if (firstname != null && !firstname.trim().isEmpty()) {
// M4 - Given name in Lauderdale given name
if (asianNOS && result == null)
result = codeName(truncateName(firstname), _LKUP_NAPIIA_GIVEN_LAUD_MALE);
// M5 - Given name in NAACCR given name
if (asianNOS && result == null)
result = codeName(firstname, _LKUP_NAPIIA_GIVEN_NAACCR);
}
return result == null ? null : String.format("%02d", result);
}
/**
* Executes the female indirect identification based on name.
* @return new NAPIIA code, possible the not-calculated code
*/
private static String applyFemaleNameIdentification(NapiiaInputRecordDto input, boolean asianNOS, boolean pacificIslanderNOS) {
Short result = null;
String lastname = input.getNameLast();
String firstname = input.getNameFirst();
String maidenname = input.getNameMaiden();
if (maidenname == null || maidenname.trim().isEmpty()) {
if (lastname != null && !lastname.trim().isEmpty()) {
// F2a - Surname in Census surname
if (asianNOS)
result = codeName(lastname, _LKUP_NAPIIA_SURNAME_CENSUS_ASIAN);
if (pacificIslanderNOS && result == null)
result = codeName(lastname, _LKUP_NAPIIA_SURNAME_CENSUS_PI);
// F3a - Surname in Lauderdale surname
if (asianNOS && result == null)
result = codeName(truncateName(lastname), _LKUP_NAPIIA_SURNAME_LAUD);
// F4a - Surname in NAACCR surname
if (asianNOS && result == null)
result = codeName(lastname, _LKUP_NAPIIA_SURNAME_NAACCR);
}
if (firstname != null && !firstname.trim().isEmpty()) {
// F5a - Given name in Lauderdale given name
if (asianNOS && result == null)
result = codeName(truncateName(firstname), _LKUP_NAPIIA_GIVEN_LAUD_FEMALE);
// F6a - Given name in NAACCR given name
if (asianNOS && result == null)
result = codeName(firstname, _LKUP_NAPIIA_GIVEN_NAACCR);
}
}
else {
// F2b - Maiden in Census surname
if (asianNOS)
result = codeName(maidenname, _LKUP_NAPIIA_SURNAME_CENSUS_ASIAN);
if (pacificIslanderNOS && result == null)
result = codeName(maidenname, _LKUP_NAPIIA_SURNAME_CENSUS_PI);
// F3b - Maiden name in Lauderdale surname
if (asianNOS && result == null)
result = codeName(truncateName(maidenname), _LKUP_NAPIIA_SURNAME_LAUD);
// F4b - Maiden name in NAACCR surname
if (asianNOS && result == null)
result = codeName(maidenname, _LKUP_NAPIIA_SURNAME_NAACCR);
if (firstname != null && !firstname.trim().isEmpty()) {
// F5b - Given name in Lauderdale given name
if (asianNOS && result == null)
result = codeName(truncateName(firstname), _LKUP_NAPIIA_GIVEN_LAUD_FEMALE);
// F6b - Given name in NAACCR given name
if (asianNOS && result == null)
result = codeName(firstname, _LKUP_NAPIIA_GIVEN_NAACCR);
}
if (lastname != null && !lastname.trim().isEmpty()) {
// F7b - Surname in Census surname
if (asianNOS && result == null)
result = codeName(lastname, _LKUP_NAPIIA_SURNAME_CENSUS_ASIAN);
if (pacificIslanderNOS && result == null)
result = codeName(lastname, _LKUP_NAPIIA_SURNAME_CENSUS_PI);
// F8b - Surname in Lauderdale surname
if (asianNOS && result == null)
result = codeName(truncateName(lastname), _LKUP_NAPIIA_SURNAME_LAUD);
// F9b - Surname in NAACCR surname
if (asianNOS && result == null)
result = codeName(lastname, _LKUP_NAPIIA_SURNAME_NAACCR);
}
}
return result == null ? null : String.format("%02d", result);
}
/**
* Executes the non-male-and-non-female indirect identification based on name.
* @return new NAPIIA code, possible the not-calculated code
*/
private static String applyNotMaleNotFemaleNameIdentification(NapiiaInputRecordDto input, boolean asianNOS, boolean pacificIslanderNOS) {
Short result = null;
String lastname = input.getNameLast();
if (lastname != null && !lastname.trim().isEmpty()) {
// NMF1 - Surname in Census surname
if (asianNOS)
result = codeName(lastname, _LKUP_NAPIIA_SURNAME_CENSUS_ASIAN);
if (pacificIslanderNOS && result == null)
result = codeName(lastname, _LKUP_NAPIIA_SURNAME_CENSUS_PI);
// NMF2 - Surname in Lauderdale surname
if (asianNOS && result == null)
result = codeName(truncateName(lastname), _LKUP_NAPIIA_SURNAME_LAUD);
// NMF3 - Surname in NAACCR surname
if (asianNOS && result == null)
result = codeName(lastname, _LKUP_NAPIIA_SURNAME_NAACCR);
}
return result == null ? null : String.format("%02d", result);
}
//Returns the name truncated to 12 characters.
protected static String truncateName(String name) {
if (name == null || name.length() <= 12)
return name;
else
return name.substring(0, 12);
}
protected static synchronized Short codeName(String name, Map lkup) {
if (name == null)
return null;
if (lkup.isEmpty()) {
try {
Reader reader = new InputStreamReader(Thread.currentThread().getContextClassLoader().getResourceAsStream("napiia/napiia-census-asian.csv"), "US-ASCII");
List rows = new CSVReader(reader).readAll();
for (String[] row : rows)
_LKUP_NAPIIA_SURNAME_CENSUS_ASIAN.put(row[0].toUpperCase(), Short.valueOf(row[1]));
reader = new InputStreamReader(Thread.currentThread().getContextClassLoader().getResourceAsStream("napiia/napiia-census-pi.csv"), "US-ASCII");
rows = new CSVReader(reader).readAll();
for (String[] row : rows)
_LKUP_NAPIIA_SURNAME_CENSUS_PI.put(row[0].toUpperCase(), Short.valueOf(row[1]));
reader = new InputStreamReader(Thread.currentThread().getContextClassLoader().getResourceAsStream("napiia/napiia-laud-surname.csv"), "US-ASCII");
rows = new CSVReader(reader).readAll();
for (String[] row : rows)
_LKUP_NAPIIA_SURNAME_LAUD.put(row[0].toUpperCase(), Short.valueOf(row[1]));
reader = new InputStreamReader(Thread.currentThread().getContextClassLoader().getResourceAsStream("napiia/napiia-laud-given-male.csv"), "US-ASCII");
rows = new CSVReader(reader).readAll();
for (String[] row : rows)
_LKUP_NAPIIA_GIVEN_LAUD_MALE.put(row[0].toUpperCase(), Short.valueOf(row[1]));
reader = new InputStreamReader(Thread.currentThread().getContextClassLoader().getResourceAsStream("napiia/napiia-laud-given-female.csv"), "US-ASCII");
rows = new CSVReader(reader).readAll();
for (String[] row : rows)
_LKUP_NAPIIA_GIVEN_LAUD_FEMALE.put(row[0].toUpperCase(), Short.valueOf(row[1]));
reader = new InputStreamReader(Thread.currentThread().getContextClassLoader().getResourceAsStream("napiia/napiia-naaccr-surname.csv"), "US-ASCII");
rows = new CSVReader(reader).readAll();
for (String[] row : rows)
_LKUP_NAPIIA_SURNAME_NAACCR.put(row[0].toUpperCase(), Short.valueOf(row[1]));
reader = new InputStreamReader(Thread.currentThread().getContextClassLoader().getResourceAsStream("napiia/napiia-naaccr-given.csv"), "US-ASCII");
rows = new CSVReader(reader).readAll();
for (String[] row : rows)
_LKUP_NAPIIA_GIVEN_NAACCR.put(row[0].toUpperCase(), Short.valueOf(row[1]));
}
catch (IOException e) {
throw new RuntimeException(e);
}
}
return lkup.get(name.toUpperCase());
}
}
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