Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001
Abstract Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1997–2001. BME risk analysis is of considerable value, since influenza is the large...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Choi, Kyung-Mee [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2007 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer-Verlag 2007 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Stochastic environmental research and risk assessment - Springer-Verlag, 1999, 22(2007), Suppl 1 vom: 07. Juli, Seite 15-25 |
|---|---|
| Übergeordnetes Werk: |
volume:22 ; year:2007 ; number:Suppl 1 ; day:07 ; month:07 ; pages:15-25 |
| Links: |
|---|
| DOI / URN: |
10.1007/s00477-007-0168-4 |
|---|
| Katalog-ID: |
OLC2058731158 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2058731158 | ||
| 003 | DE-627 | ||
| 005 | 20230502110038.0 | ||
| 007 | tu | ||
| 008 | 200820s2007 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s00477-007-0168-4 |2 doi | |
| 035 | |a (DE-627)OLC2058731158 | ||
| 035 | |a (DE-He213)s00477-007-0168-4-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 333.7 |q VZ |
| 082 | 0 | 4 | |a 550 |q VZ |
| 084 | |a 43.03$jMethoden der Umweltforschung und des Umweltschutzes |2 bkl | ||
| 084 | |a 38.85$jHydrologie: Allgemeines |2 bkl | ||
| 084 | |a 58.50$jUmwelttechnik: Allgemeines |2 bkl | ||
| 084 | |a 52.23$jFluidtechnik |2 bkl | ||
| 100 | 1 | |a Choi, Kyung-Mee |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001 |
| 264 | 1 | |c 2007 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer-Verlag 2007 | ||
| 520 | |a Abstract Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1997–2001. BME risk analysis is of considerable value, since influenza is the largest contributing factor to wintertime mortality increases in the US. By incorporating age-adjusted mortality data collected at the county level, informative influenza mortality maps were generated and composite space-time influenza dependences were assessed quantitatively. On the basis this analysis, essential risk patterns and correlations were detected across the state during wintertime. It was found that significantly high risks initially occurred during December in the west-central part of the state; in the following two weeks the risk distribution extended in the south and east-central parts of the state; in late February significant influenza mortalities were detected mainly in the west-central part of the state. These findings, combined with the results of earlier works, can lead to useful conclusions regarding influenza risk assessment in a space-time context and, also, point toward promising future research directions. | ||
| 650 | 4 | |a Influenza | |
| 650 | 4 | |a Mapping | |
| 650 | 4 | |a Mortality | |
| 650 | 4 | |a Risk | |
| 650 | 4 | |a Spatiotemporal statistics | |
| 650 | 4 | |a BME | |
| 650 | 4 | |a California | |
| 700 | 1 | |a Yu, Hwa-Lung |4 aut | |
| 700 | 1 | |a Wilson, Mark L. |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Stochastic environmental research and risk assessment |d Springer-Verlag, 1999 |g 22(2007), Suppl 1 vom: 07. Juli, Seite 15-25 |w (DE-627)269538283 |w (DE-600)1475430-7 |w (DE-576)077885473 |x 1436-3240 |7 nnns |
| 773 | 1 | 8 | |g volume:22 |g year:2007 |g number:Suppl 1 |g day:07 |g month:07 |g pages:15-25 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s00477-007-0168-4 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-GEO | ||
| 912 | |a SSG-OPC-GGO | ||
| 912 | |a GBV_ILN_40 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_267 | ||
| 912 | |a GBV_ILN_2006 | ||
| 912 | |a GBV_ILN_2018 | ||
| 912 | |a GBV_ILN_4046 | ||
| 912 | |a GBV_ILN_4277 | ||
| 912 | |a GBV_ILN_4700 | ||
| 936 | b | k | |a 43.03$jMethoden der Umweltforschung und des Umweltschutzes |q VZ |0 106416952 |0 (DE-625)106416952 |
| 936 | b | k | |a 38.85$jHydrologie: Allgemeines |q VZ |0 106421905 |0 (DE-625)106421905 |
| 936 | b | k | |a 58.50$jUmwelttechnik: Allgemeines |q VZ |0 10641707X |0 (DE-625)10641707X |
| 936 | b | k | |a 52.23$jFluidtechnik |q VZ |0 106419870 |0 (DE-625)106419870 |
| 951 | |a AR | ||
| 952 | |d 22 |j 2007 |e Suppl 1 |b 07 |c 07 |h 15-25 | ||
| author_variant |
k m c kmc h l y hly m l w ml mlw |
|---|---|
| matchkey_str |
article:14363240:2007----::ptoeprlttsiaaayioifunaotltrsitettoclf |
| hierarchy_sort_str |
2007 |
| bklnumber |
43.03$jMethoden der Umweltforschung und des Umweltschutzes 38.85$jHydrologie: Allgemeines 58.50$jUmwelttechnik: Allgemeines 52.23$jFluidtechnik |
| publishDate |
2007 |
| allfields |
10.1007/s00477-007-0168-4 doi (DE-627)OLC2058731158 (DE-He213)s00477-007-0168-4-p DE-627 ger DE-627 rakwb eng 333.7 VZ 550 VZ 43.03$jMethoden der Umweltforschung und des Umweltschutzes bkl 38.85$jHydrologie: Allgemeines bkl 58.50$jUmwelttechnik: Allgemeines bkl 52.23$jFluidtechnik bkl Choi, Kyung-Mee verfasserin aut Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2007 Abstract Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1997–2001. BME risk analysis is of considerable value, since influenza is the largest contributing factor to wintertime mortality increases in the US. By incorporating age-adjusted mortality data collected at the county level, informative influenza mortality maps were generated and composite space-time influenza dependences were assessed quantitatively. On the basis this analysis, essential risk patterns and correlations were detected across the state during wintertime. It was found that significantly high risks initially occurred during December in the west-central part of the state; in the following two weeks the risk distribution extended in the south and east-central parts of the state; in late February significant influenza mortalities were detected mainly in the west-central part of the state. These findings, combined with the results of earlier works, can lead to useful conclusions regarding influenza risk assessment in a space-time context and, also, point toward promising future research directions. Influenza Mapping Mortality Risk Spatiotemporal statistics BME California Yu, Hwa-Lung aut Wilson, Mark L. aut Enthalten in Stochastic environmental research and risk assessment Springer-Verlag, 1999 22(2007), Suppl 1 vom: 07. Juli, Seite 15-25 (DE-627)269538283 (DE-600)1475430-7 (DE-576)077885473 1436-3240 nnns volume:22 year:2007 number:Suppl 1 day:07 month:07 pages:15-25 https://doi.org/10.1007/s00477-007-0168-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4700 43.03$jMethoden der Umweltforschung und des Umweltschutzes VZ 106416952 (DE-625)106416952 38.85$jHydrologie: Allgemeines VZ 106421905 (DE-625)106421905 58.50$jUmwelttechnik: Allgemeines VZ 10641707X (DE-625)10641707X 52.23$jFluidtechnik VZ 106419870 (DE-625)106419870 AR 22 2007 Suppl 1 07 07 15-25 |
| spelling |
10.1007/s00477-007-0168-4 doi (DE-627)OLC2058731158 (DE-He213)s00477-007-0168-4-p DE-627 ger DE-627 rakwb eng 333.7 VZ 550 VZ 43.03$jMethoden der Umweltforschung und des Umweltschutzes bkl 38.85$jHydrologie: Allgemeines bkl 58.50$jUmwelttechnik: Allgemeines bkl 52.23$jFluidtechnik bkl Choi, Kyung-Mee verfasserin aut Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2007 Abstract Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1997–2001. BME risk analysis is of considerable value, since influenza is the largest contributing factor to wintertime mortality increases in the US. By incorporating age-adjusted mortality data collected at the county level, informative influenza mortality maps were generated and composite space-time influenza dependences were assessed quantitatively. On the basis this analysis, essential risk patterns and correlations were detected across the state during wintertime. It was found that significantly high risks initially occurred during December in the west-central part of the state; in the following two weeks the risk distribution extended in the south and east-central parts of the state; in late February significant influenza mortalities were detected mainly in the west-central part of the state. These findings, combined with the results of earlier works, can lead to useful conclusions regarding influenza risk assessment in a space-time context and, also, point toward promising future research directions. Influenza Mapping Mortality Risk Spatiotemporal statistics BME California Yu, Hwa-Lung aut Wilson, Mark L. aut Enthalten in Stochastic environmental research and risk assessment Springer-Verlag, 1999 22(2007), Suppl 1 vom: 07. Juli, Seite 15-25 (DE-627)269538283 (DE-600)1475430-7 (DE-576)077885473 1436-3240 nnns volume:22 year:2007 number:Suppl 1 day:07 month:07 pages:15-25 https://doi.org/10.1007/s00477-007-0168-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4700 43.03$jMethoden der Umweltforschung und des Umweltschutzes VZ 106416952 (DE-625)106416952 38.85$jHydrologie: Allgemeines VZ 106421905 (DE-625)106421905 58.50$jUmwelttechnik: Allgemeines VZ 10641707X (DE-625)10641707X 52.23$jFluidtechnik VZ 106419870 (DE-625)106419870 AR 22 2007 Suppl 1 07 07 15-25 |
| allfields_unstemmed |
10.1007/s00477-007-0168-4 doi (DE-627)OLC2058731158 (DE-He213)s00477-007-0168-4-p DE-627 ger DE-627 rakwb eng 333.7 VZ 550 VZ 43.03$jMethoden der Umweltforschung und des Umweltschutzes bkl 38.85$jHydrologie: Allgemeines bkl 58.50$jUmwelttechnik: Allgemeines bkl 52.23$jFluidtechnik bkl Choi, Kyung-Mee verfasserin aut Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2007 Abstract Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1997–2001. BME risk analysis is of considerable value, since influenza is the largest contributing factor to wintertime mortality increases in the US. By incorporating age-adjusted mortality data collected at the county level, informative influenza mortality maps were generated and composite space-time influenza dependences were assessed quantitatively. On the basis this analysis, essential risk patterns and correlations were detected across the state during wintertime. It was found that significantly high risks initially occurred during December in the west-central part of the state; in the following two weeks the risk distribution extended in the south and east-central parts of the state; in late February significant influenza mortalities were detected mainly in the west-central part of the state. These findings, combined with the results of earlier works, can lead to useful conclusions regarding influenza risk assessment in a space-time context and, also, point toward promising future research directions. Influenza Mapping Mortality Risk Spatiotemporal statistics BME California Yu, Hwa-Lung aut Wilson, Mark L. aut Enthalten in Stochastic environmental research and risk assessment Springer-Verlag, 1999 22(2007), Suppl 1 vom: 07. Juli, Seite 15-25 (DE-627)269538283 (DE-600)1475430-7 (DE-576)077885473 1436-3240 nnns volume:22 year:2007 number:Suppl 1 day:07 month:07 pages:15-25 https://doi.org/10.1007/s00477-007-0168-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4700 43.03$jMethoden der Umweltforschung und des Umweltschutzes VZ 106416952 (DE-625)106416952 38.85$jHydrologie: Allgemeines VZ 106421905 (DE-625)106421905 58.50$jUmwelttechnik: Allgemeines VZ 10641707X (DE-625)10641707X 52.23$jFluidtechnik VZ 106419870 (DE-625)106419870 AR 22 2007 Suppl 1 07 07 15-25 |
| allfieldsGer |
10.1007/s00477-007-0168-4 doi (DE-627)OLC2058731158 (DE-He213)s00477-007-0168-4-p DE-627 ger DE-627 rakwb eng 333.7 VZ 550 VZ 43.03$jMethoden der Umweltforschung und des Umweltschutzes bkl 38.85$jHydrologie: Allgemeines bkl 58.50$jUmwelttechnik: Allgemeines bkl 52.23$jFluidtechnik bkl Choi, Kyung-Mee verfasserin aut Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2007 Abstract Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1997–2001. BME risk analysis is of considerable value, since influenza is the largest contributing factor to wintertime mortality increases in the US. By incorporating age-adjusted mortality data collected at the county level, informative influenza mortality maps were generated and composite space-time influenza dependences were assessed quantitatively. On the basis this analysis, essential risk patterns and correlations were detected across the state during wintertime. It was found that significantly high risks initially occurred during December in the west-central part of the state; in the following two weeks the risk distribution extended in the south and east-central parts of the state; in late February significant influenza mortalities were detected mainly in the west-central part of the state. These findings, combined with the results of earlier works, can lead to useful conclusions regarding influenza risk assessment in a space-time context and, also, point toward promising future research directions. Influenza Mapping Mortality Risk Spatiotemporal statistics BME California Yu, Hwa-Lung aut Wilson, Mark L. aut Enthalten in Stochastic environmental research and risk assessment Springer-Verlag, 1999 22(2007), Suppl 1 vom: 07. Juli, Seite 15-25 (DE-627)269538283 (DE-600)1475430-7 (DE-576)077885473 1436-3240 nnns volume:22 year:2007 number:Suppl 1 day:07 month:07 pages:15-25 https://doi.org/10.1007/s00477-007-0168-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4700 43.03$jMethoden der Umweltforschung und des Umweltschutzes VZ 106416952 (DE-625)106416952 38.85$jHydrologie: Allgemeines VZ 106421905 (DE-625)106421905 58.50$jUmwelttechnik: Allgemeines VZ 10641707X (DE-625)10641707X 52.23$jFluidtechnik VZ 106419870 (DE-625)106419870 AR 22 2007 Suppl 1 07 07 15-25 |
| allfieldsSound |
10.1007/s00477-007-0168-4 doi (DE-627)OLC2058731158 (DE-He213)s00477-007-0168-4-p DE-627 ger DE-627 rakwb eng 333.7 VZ 550 VZ 43.03$jMethoden der Umweltforschung und des Umweltschutzes bkl 38.85$jHydrologie: Allgemeines bkl 58.50$jUmwelttechnik: Allgemeines bkl 52.23$jFluidtechnik bkl Choi, Kyung-Mee verfasserin aut Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2007 Abstract Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1997–2001. BME risk analysis is of considerable value, since influenza is the largest contributing factor to wintertime mortality increases in the US. By incorporating age-adjusted mortality data collected at the county level, informative influenza mortality maps were generated and composite space-time influenza dependences were assessed quantitatively. On the basis this analysis, essential risk patterns and correlations were detected across the state during wintertime. It was found that significantly high risks initially occurred during December in the west-central part of the state; in the following two weeks the risk distribution extended in the south and east-central parts of the state; in late February significant influenza mortalities were detected mainly in the west-central part of the state. These findings, combined with the results of earlier works, can lead to useful conclusions regarding influenza risk assessment in a space-time context and, also, point toward promising future research directions. Influenza Mapping Mortality Risk Spatiotemporal statistics BME California Yu, Hwa-Lung aut Wilson, Mark L. aut Enthalten in Stochastic environmental research and risk assessment Springer-Verlag, 1999 22(2007), Suppl 1 vom: 07. Juli, Seite 15-25 (DE-627)269538283 (DE-600)1475430-7 (DE-576)077885473 1436-3240 nnns volume:22 year:2007 number:Suppl 1 day:07 month:07 pages:15-25 https://doi.org/10.1007/s00477-007-0168-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4700 43.03$jMethoden der Umweltforschung und des Umweltschutzes VZ 106416952 (DE-625)106416952 38.85$jHydrologie: Allgemeines VZ 106421905 (DE-625)106421905 58.50$jUmwelttechnik: Allgemeines VZ 10641707X (DE-625)10641707X 52.23$jFluidtechnik VZ 106419870 (DE-625)106419870 AR 22 2007 Suppl 1 07 07 15-25 |
| language |
English |
| source |
Enthalten in Stochastic environmental research and risk assessment 22(2007), Suppl 1 vom: 07. Juli, Seite 15-25 volume:22 year:2007 number:Suppl 1 day:07 month:07 pages:15-25 |
| sourceStr |
Enthalten in Stochastic environmental research and risk assessment 22(2007), Suppl 1 vom: 07. Juli, Seite 15-25 volume:22 year:2007 number:Suppl 1 day:07 month:07 pages:15-25 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Influenza Mapping Mortality Risk Spatiotemporal statistics BME California |
| dewey-raw |
333.7 |
| isfreeaccess_bool |
false |
| container_title |
Stochastic environmental research and risk assessment |
| authorswithroles_txt_mv |
Choi, Kyung-Mee @@aut@@ Yu, Hwa-Lung @@aut@@ Wilson, Mark L. @@aut@@ |
| publishDateDaySort_date |
2007-07-07T00:00:00Z |
| hierarchy_top_id |
269538283 |
| dewey-sort |
3333.7 |
| id |
OLC2058731158 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2058731158</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502110038.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2007 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00477-007-0168-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2058731158</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00477-007-0168-4-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">333.7</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">43.03$jMethoden der Umweltforschung und des Umweltschutzes</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.85$jHydrologie: Allgemeines</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">58.50$jUmwelttechnik: Allgemeines</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.23$jFluidtechnik</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Choi, Kyung-Mee</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2007</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag 2007</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1997–2001. BME risk analysis is of considerable value, since influenza is the largest contributing factor to wintertime mortality increases in the US. By incorporating age-adjusted mortality data collected at the county level, informative influenza mortality maps were generated and composite space-time influenza dependences were assessed quantitatively. On the basis this analysis, essential risk patterns and correlations were detected across the state during wintertime. It was found that significantly high risks initially occurred during December in the west-central part of the state; in the following two weeks the risk distribution extended in the south and east-central parts of the state; in late February significant influenza mortalities were detected mainly in the west-central part of the state. These findings, combined with the results of earlier works, can lead to useful conclusions regarding influenza risk assessment in a space-time context and, also, point toward promising future research directions.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Influenza</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mapping</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mortality</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Risk</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spatiotemporal statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">BME</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">California</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yu, Hwa-Lung</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wilson, Mark L.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Stochastic environmental research and risk assessment</subfield><subfield code="d">Springer-Verlag, 1999</subfield><subfield code="g">22(2007), Suppl 1 vom: 07. Juli, Seite 15-25</subfield><subfield code="w">(DE-627)269538283</subfield><subfield code="w">(DE-600)1475430-7</subfield><subfield code="w">(DE-576)077885473</subfield><subfield code="x">1436-3240</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:22</subfield><subfield code="g">year:2007</subfield><subfield code="g">number:Suppl 1</subfield><subfield code="g">day:07</subfield><subfield code="g">month:07</subfield><subfield code="g">pages:15-25</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00477-007-0168-4</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_267</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4277</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">43.03$jMethoden der Umweltforschung und des Umweltschutzes</subfield><subfield code="q">VZ</subfield><subfield code="0">106416952</subfield><subfield code="0">(DE-625)106416952</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">38.85$jHydrologie: Allgemeines</subfield><subfield code="q">VZ</subfield><subfield code="0">106421905</subfield><subfield code="0">(DE-625)106421905</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">58.50$jUmwelttechnik: Allgemeines</subfield><subfield code="q">VZ</subfield><subfield code="0">10641707X</subfield><subfield code="0">(DE-625)10641707X</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.23$jFluidtechnik</subfield><subfield code="q">VZ</subfield><subfield code="0">106419870</subfield><subfield code="0">(DE-625)106419870</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">22</subfield><subfield code="j">2007</subfield><subfield code="e">Suppl 1</subfield><subfield code="b">07</subfield><subfield code="c">07</subfield><subfield code="h">15-25</subfield></datafield></record></collection>
|
| author |
Choi, Kyung-Mee |
| spellingShingle |
Choi, Kyung-Mee ddc 333.7 ddc 550 bkl 43.03$jMethoden der Umweltforschung und des Umweltschutzes bkl 38.85$jHydrologie: Allgemeines bkl 58.50$jUmwelttechnik: Allgemeines bkl 52.23$jFluidtechnik misc Influenza misc Mapping misc Mortality misc Risk misc Spatiotemporal statistics misc BME misc California Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001 |
| authorStr |
Choi, Kyung-Mee |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)269538283 |
| format |
Article |
| dewey-ones |
333 - Economics of land & energy 550 - Earth sciences |
| delete_txt_mv |
keep |
| author_role |
aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
1436-3240 |
| topic_title |
333.7 VZ 550 VZ 43.03$jMethoden der Umweltforschung und des Umweltschutzes bkl 38.85$jHydrologie: Allgemeines bkl 58.50$jUmwelttechnik: Allgemeines bkl 52.23$jFluidtechnik bkl Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001 Influenza Mapping Mortality Risk Spatiotemporal statistics BME California |
| topic |
ddc 333.7 ddc 550 bkl 43.03$jMethoden der Umweltforschung und des Umweltschutzes bkl 38.85$jHydrologie: Allgemeines bkl 58.50$jUmwelttechnik: Allgemeines bkl 52.23$jFluidtechnik misc Influenza misc Mapping misc Mortality misc Risk misc Spatiotemporal statistics misc BME misc California |
| topic_unstemmed |
ddc 333.7 ddc 550 bkl 43.03$jMethoden der Umweltforschung und des Umweltschutzes bkl 38.85$jHydrologie: Allgemeines bkl 58.50$jUmwelttechnik: Allgemeines bkl 52.23$jFluidtechnik misc Influenza misc Mapping misc Mortality misc Risk misc Spatiotemporal statistics misc BME misc California |
| topic_browse |
ddc 333.7 ddc 550 bkl 43.03$jMethoden der Umweltforschung und des Umweltschutzes bkl 38.85$jHydrologie: Allgemeines bkl 58.50$jUmwelttechnik: Allgemeines bkl 52.23$jFluidtechnik misc Influenza misc Mapping misc Mortality misc Risk misc Spatiotemporal statistics misc BME misc California |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Stochastic environmental research and risk assessment |
| hierarchy_parent_id |
269538283 |
| dewey-tens |
330 - Economics 550 - Earth sciences & geology |
| hierarchy_top_title |
Stochastic environmental research and risk assessment |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)269538283 (DE-600)1475430-7 (DE-576)077885473 |
| title |
Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001 |
| ctrlnum |
(DE-627)OLC2058731158 (DE-He213)s00477-007-0168-4-p |
| title_full |
Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001 |
| author_sort |
Choi, Kyung-Mee |
| journal |
Stochastic environmental research and risk assessment |
| journalStr |
Stochastic environmental research and risk assessment |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
300 - Social sciences 500 - Science |
| recordtype |
marc |
| publishDateSort |
2007 |
| contenttype_str_mv |
txt |
| container_start_page |
15 |
| author_browse |
Choi, Kyung-Mee Yu, Hwa-Lung Wilson, Mark L. |
| container_volume |
22 |
| class |
333.7 VZ 550 VZ 43.03$jMethoden der Umweltforschung und des Umweltschutzes bkl 38.85$jHydrologie: Allgemeines bkl 58.50$jUmwelttechnik: Allgemeines bkl 52.23$jFluidtechnik bkl |
| format_se |
Aufsätze |
| author-letter |
Choi, Kyung-Mee |
| doi_str_mv |
10.1007/s00477-007-0168-4 |
| normlink |
106416952 106421905 10641707X 106419870 |
| normlink_prefix_str_mv |
106416952 (DE-625)106416952 106421905 (DE-625)106421905 10641707X (DE-625)10641707X 106419870 (DE-625)106419870 |
| dewey-full |
333.7 550 |
| title_sort |
spatiotemporal statistical analysis of influenza mortality risk in the state of california during the period 1997–2001 |
| title_auth |
Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001 |
| abstract |
Abstract Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1997–2001. BME risk analysis is of considerable value, since influenza is the largest contributing factor to wintertime mortality increases in the US. By incorporating age-adjusted mortality data collected at the county level, informative influenza mortality maps were generated and composite space-time influenza dependences were assessed quantitatively. On the basis this analysis, essential risk patterns and correlations were detected across the state during wintertime. It was found that significantly high risks initially occurred during December in the west-central part of the state; in the following two weeks the risk distribution extended in the south and east-central parts of the state; in late February significant influenza mortalities were detected mainly in the west-central part of the state. These findings, combined with the results of earlier works, can lead to useful conclusions regarding influenza risk assessment in a space-time context and, also, point toward promising future research directions. © Springer-Verlag 2007 |
| abstractGer |
Abstract Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1997–2001. BME risk analysis is of considerable value, since influenza is the largest contributing factor to wintertime mortality increases in the US. By incorporating age-adjusted mortality data collected at the county level, informative influenza mortality maps were generated and composite space-time influenza dependences were assessed quantitatively. On the basis this analysis, essential risk patterns and correlations were detected across the state during wintertime. It was found that significantly high risks initially occurred during December in the west-central part of the state; in the following two weeks the risk distribution extended in the south and east-central parts of the state; in late February significant influenza mortalities were detected mainly in the west-central part of the state. These findings, combined with the results of earlier works, can lead to useful conclusions regarding influenza risk assessment in a space-time context and, also, point toward promising future research directions. © Springer-Verlag 2007 |
| abstract_unstemmed |
Abstract Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1997–2001. BME risk analysis is of considerable value, since influenza is the largest contributing factor to wintertime mortality increases in the US. By incorporating age-adjusted mortality data collected at the county level, informative influenza mortality maps were generated and composite space-time influenza dependences were assessed quantitatively. On the basis this analysis, essential risk patterns and correlations were detected across the state during wintertime. It was found that significantly high risks initially occurred during December in the west-central part of the state; in the following two weeks the risk distribution extended in the south and east-central parts of the state; in late February significant influenza mortalities were detected mainly in the west-central part of the state. These findings, combined with the results of earlier works, can lead to useful conclusions regarding influenza risk assessment in a space-time context and, also, point toward promising future research directions. © Springer-Verlag 2007 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4700 |
| container_issue |
Suppl 1 |
| title_short |
Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001 |
| url |
https://doi.org/10.1007/s00477-007-0168-4 |
| remote_bool |
false |
| author2 |
Yu, Hwa-Lung Wilson, Mark L. |
| author2Str |
Yu, Hwa-Lung Wilson, Mark L. |
| ppnlink |
269538283 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s00477-007-0168-4 |
| up_date |
2024-07-03T19:59:01.458Z |
| _version_ |
1803589246220500992 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2058731158</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502110038.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2007 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00477-007-0168-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2058731158</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00477-007-0168-4-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">333.7</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">43.03$jMethoden der Umweltforschung und des Umweltschutzes</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.85$jHydrologie: Allgemeines</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">58.50$jUmwelttechnik: Allgemeines</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.23$jFluidtechnik</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Choi, Kyung-Mee</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2007</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag 2007</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1997–2001. BME risk analysis is of considerable value, since influenza is the largest contributing factor to wintertime mortality increases in the US. By incorporating age-adjusted mortality data collected at the county level, informative influenza mortality maps were generated and composite space-time influenza dependences were assessed quantitatively. On the basis this analysis, essential risk patterns and correlations were detected across the state during wintertime. It was found that significantly high risks initially occurred during December in the west-central part of the state; in the following two weeks the risk distribution extended in the south and east-central parts of the state; in late February significant influenza mortalities were detected mainly in the west-central part of the state. These findings, combined with the results of earlier works, can lead to useful conclusions regarding influenza risk assessment in a space-time context and, also, point toward promising future research directions.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Influenza</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mapping</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mortality</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Risk</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spatiotemporal statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">BME</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">California</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yu, Hwa-Lung</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wilson, Mark L.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Stochastic environmental research and risk assessment</subfield><subfield code="d">Springer-Verlag, 1999</subfield><subfield code="g">22(2007), Suppl 1 vom: 07. Juli, Seite 15-25</subfield><subfield code="w">(DE-627)269538283</subfield><subfield code="w">(DE-600)1475430-7</subfield><subfield code="w">(DE-576)077885473</subfield><subfield code="x">1436-3240</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:22</subfield><subfield code="g">year:2007</subfield><subfield code="g">number:Suppl 1</subfield><subfield code="g">day:07</subfield><subfield code="g">month:07</subfield><subfield code="g">pages:15-25</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00477-007-0168-4</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_267</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4277</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">43.03$jMethoden der Umweltforschung und des Umweltschutzes</subfield><subfield code="q">VZ</subfield><subfield code="0">106416952</subfield><subfield code="0">(DE-625)106416952</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">38.85$jHydrologie: Allgemeines</subfield><subfield code="q">VZ</subfield><subfield code="0">106421905</subfield><subfield code="0">(DE-625)106421905</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">58.50$jUmwelttechnik: Allgemeines</subfield><subfield code="q">VZ</subfield><subfield code="0">10641707X</subfield><subfield code="0">(DE-625)10641707X</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.23$jFluidtechnik</subfield><subfield code="q">VZ</subfield><subfield code="0">106419870</subfield><subfield code="0">(DE-625)106419870</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">22</subfield><subfield code="j">2007</subfield><subfield code="e">Suppl 1</subfield><subfield code="b">07</subfield><subfield code="c">07</subfield><subfield code="h">15-25</subfield></datafield></record></collection>
|
| score |
7.3979836 |