Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil
Abstract INTRODUCTION: This study aimed to describe the occurrence of human visceral leishmaniasis in Araçatuba with regard to time and space and to identify high risk areas. METHODS: We included all human visceral leishmaniasis autochthonous cases reported between 1999 and 2015. The incidence r...
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Gespeichert in:
| Autor*in: |
Patricia Marques Moralejo Bermudi [verfasserIn] Marluci Monteiro Guirado [verfasserIn] Lilian Aparecida Colebrusco Rodas [verfasserIn] Margareth Regina Dibo [verfasserIn] Francisco Chiaravalloti-Neto [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
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| Übergeordnetes Werk: |
In: Revista da Sociedade Brasileira de Medicina Tropical - Sociedade Brasileira de Medicina Tropical (SBMT), 2004 |
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| Links: |
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| DOI / URN: |
10.1590/0037-8682-0505-2017 |
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DOAJ042889537 |
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| 520 | |a Abstract INTRODUCTION: This study aimed to describe the occurrence of human visceral leishmaniasis in Araçatuba with regard to time and space and to identify high risk areas. METHODS: We included all human visceral leishmaniasis autochthonous cases reported between 1999 and 2015. The incidence rates were calculated by sex, age, and year. The human visceral leishmaniasis cases were geocoded and grouped by urban census tracts, enabling the calculation of the incidence and mortality rates by census tracts. For the identification of high risk areas, we utilized the scan statistics and univariate Ripley’s K-function. RESULTS: The incidence presented a cyclic pattern in 1999-2009, with peaks in 2002 and 2007 (30.1 and 19.6 cases per 100,000 inhabitant-years, respectively). In 2010-2015, the incidence remained relatively stable with about 2.0 cases per 100,000 inhabitant-years. The scan statistics detected two spatial clusters of high risk and three spatio-temporal clusters of high risk that lasted from 2001 to 2008. A spatial autocorrelation was observed in the human visceral leishmaniasis case point distribution in 1999-2009. No spatio-temporal clusters and no spatial autocorrelation in the case point pattern were identified in 2010-2015. CONCLUSION: We identified a changing pattern of human visceral leishmaniasis occurrence in Araçatuba: the first period (1999-2009) showed a cyclic pattern, clusters, and presence of spatial dependence in the case point distribution; the second period (2010-2015) showed the lowest rates of all historical series, stable incidence, and cases with a random distribution pattern. | ||
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10.1590/0037-8682-0505-2017 doi (DE-627)DOAJ042889537 (DE-599)DOAJ164a577d3217415c864dc281df949b98 DE-627 ger DE-627 rakwb eng RC955-962 Patricia Marques Moralejo Bermudi verfasserin aut Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract INTRODUCTION: This study aimed to describe the occurrence of human visceral leishmaniasis in Araçatuba with regard to time and space and to identify high risk areas. METHODS: We included all human visceral leishmaniasis autochthonous cases reported between 1999 and 2015. The incidence rates were calculated by sex, age, and year. The human visceral leishmaniasis cases were geocoded and grouped by urban census tracts, enabling the calculation of the incidence and mortality rates by census tracts. For the identification of high risk areas, we utilized the scan statistics and univariate Ripley’s K-function. RESULTS: The incidence presented a cyclic pattern in 1999-2009, with peaks in 2002 and 2007 (30.1 and 19.6 cases per 100,000 inhabitant-years, respectively). In 2010-2015, the incidence remained relatively stable with about 2.0 cases per 100,000 inhabitant-years. The scan statistics detected two spatial clusters of high risk and three spatio-temporal clusters of high risk that lasted from 2001 to 2008. A spatial autocorrelation was observed in the human visceral leishmaniasis case point distribution in 1999-2009. No spatio-temporal clusters and no spatial autocorrelation in the case point pattern were identified in 2010-2015. CONCLUSION: We identified a changing pattern of human visceral leishmaniasis occurrence in Araçatuba: the first period (1999-2009) showed a cyclic pattern, clusters, and presence of spatial dependence in the case point distribution; the second period (2010-2015) showed the lowest rates of all historical series, stable incidence, and cases with a random distribution pattern. Human visceral leishmaniasis Temporal analysis Spatial and spatio-temporal analysis Brazil Arctic medicine. Tropical medicine Marluci Monteiro Guirado verfasserin aut Lilian Aparecida Colebrusco Rodas verfasserin aut Margareth Regina Dibo verfasserin aut Francisco Chiaravalloti-Neto verfasserin aut In Revista da Sociedade Brasileira de Medicina Tropical Sociedade Brasileira de Medicina Tropical (SBMT), 2004 (DE-627)324614918 (DE-600)2028921-2 16789849 nnns https://doi.org/10.1590/0037-8682-0505-2017 kostenfrei https://doaj.org/article/164a577d3217415c864dc281df949b98 kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822018000400452&lng=en&tlng=en kostenfrei https://doaj.org/toc/1678-9849 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA AR |
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10.1590/0037-8682-0505-2017 doi (DE-627)DOAJ042889537 (DE-599)DOAJ164a577d3217415c864dc281df949b98 DE-627 ger DE-627 rakwb eng RC955-962 Patricia Marques Moralejo Bermudi verfasserin aut Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract INTRODUCTION: This study aimed to describe the occurrence of human visceral leishmaniasis in Araçatuba with regard to time and space and to identify high risk areas. METHODS: We included all human visceral leishmaniasis autochthonous cases reported between 1999 and 2015. The incidence rates were calculated by sex, age, and year. The human visceral leishmaniasis cases were geocoded and grouped by urban census tracts, enabling the calculation of the incidence and mortality rates by census tracts. For the identification of high risk areas, we utilized the scan statistics and univariate Ripley’s K-function. RESULTS: The incidence presented a cyclic pattern in 1999-2009, with peaks in 2002 and 2007 (30.1 and 19.6 cases per 100,000 inhabitant-years, respectively). In 2010-2015, the incidence remained relatively stable with about 2.0 cases per 100,000 inhabitant-years. The scan statistics detected two spatial clusters of high risk and three spatio-temporal clusters of high risk that lasted from 2001 to 2008. A spatial autocorrelation was observed in the human visceral leishmaniasis case point distribution in 1999-2009. No spatio-temporal clusters and no spatial autocorrelation in the case point pattern were identified in 2010-2015. CONCLUSION: We identified a changing pattern of human visceral leishmaniasis occurrence in Araçatuba: the first period (1999-2009) showed a cyclic pattern, clusters, and presence of spatial dependence in the case point distribution; the second period (2010-2015) showed the lowest rates of all historical series, stable incidence, and cases with a random distribution pattern. Human visceral leishmaniasis Temporal analysis Spatial and spatio-temporal analysis Brazil Arctic medicine. Tropical medicine Marluci Monteiro Guirado verfasserin aut Lilian Aparecida Colebrusco Rodas verfasserin aut Margareth Regina Dibo verfasserin aut Francisco Chiaravalloti-Neto verfasserin aut In Revista da Sociedade Brasileira de Medicina Tropical Sociedade Brasileira de Medicina Tropical (SBMT), 2004 (DE-627)324614918 (DE-600)2028921-2 16789849 nnns https://doi.org/10.1590/0037-8682-0505-2017 kostenfrei https://doaj.org/article/164a577d3217415c864dc281df949b98 kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822018000400452&lng=en&tlng=en kostenfrei https://doaj.org/toc/1678-9849 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA AR |
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10.1590/0037-8682-0505-2017 doi (DE-627)DOAJ042889537 (DE-599)DOAJ164a577d3217415c864dc281df949b98 DE-627 ger DE-627 rakwb eng RC955-962 Patricia Marques Moralejo Bermudi verfasserin aut Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract INTRODUCTION: This study aimed to describe the occurrence of human visceral leishmaniasis in Araçatuba with regard to time and space and to identify high risk areas. METHODS: We included all human visceral leishmaniasis autochthonous cases reported between 1999 and 2015. The incidence rates were calculated by sex, age, and year. The human visceral leishmaniasis cases were geocoded and grouped by urban census tracts, enabling the calculation of the incidence and mortality rates by census tracts. For the identification of high risk areas, we utilized the scan statistics and univariate Ripley’s K-function. RESULTS: The incidence presented a cyclic pattern in 1999-2009, with peaks in 2002 and 2007 (30.1 and 19.6 cases per 100,000 inhabitant-years, respectively). In 2010-2015, the incidence remained relatively stable with about 2.0 cases per 100,000 inhabitant-years. The scan statistics detected two spatial clusters of high risk and three spatio-temporal clusters of high risk that lasted from 2001 to 2008. A spatial autocorrelation was observed in the human visceral leishmaniasis case point distribution in 1999-2009. No spatio-temporal clusters and no spatial autocorrelation in the case point pattern were identified in 2010-2015. CONCLUSION: We identified a changing pattern of human visceral leishmaniasis occurrence in Araçatuba: the first period (1999-2009) showed a cyclic pattern, clusters, and presence of spatial dependence in the case point distribution; the second period (2010-2015) showed the lowest rates of all historical series, stable incidence, and cases with a random distribution pattern. Human visceral leishmaniasis Temporal analysis Spatial and spatio-temporal analysis Brazil Arctic medicine. Tropical medicine Marluci Monteiro Guirado verfasserin aut Lilian Aparecida Colebrusco Rodas verfasserin aut Margareth Regina Dibo verfasserin aut Francisco Chiaravalloti-Neto verfasserin aut In Revista da Sociedade Brasileira de Medicina Tropical Sociedade Brasileira de Medicina Tropical (SBMT), 2004 (DE-627)324614918 (DE-600)2028921-2 16789849 nnns https://doi.org/10.1590/0037-8682-0505-2017 kostenfrei https://doaj.org/article/164a577d3217415c864dc281df949b98 kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822018000400452&lng=en&tlng=en kostenfrei https://doaj.org/toc/1678-9849 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA AR |
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10.1590/0037-8682-0505-2017 doi (DE-627)DOAJ042889537 (DE-599)DOAJ164a577d3217415c864dc281df949b98 DE-627 ger DE-627 rakwb eng RC955-962 Patricia Marques Moralejo Bermudi verfasserin aut Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract INTRODUCTION: This study aimed to describe the occurrence of human visceral leishmaniasis in Araçatuba with regard to time and space and to identify high risk areas. METHODS: We included all human visceral leishmaniasis autochthonous cases reported between 1999 and 2015. The incidence rates were calculated by sex, age, and year. The human visceral leishmaniasis cases were geocoded and grouped by urban census tracts, enabling the calculation of the incidence and mortality rates by census tracts. For the identification of high risk areas, we utilized the scan statistics and univariate Ripley’s K-function. RESULTS: The incidence presented a cyclic pattern in 1999-2009, with peaks in 2002 and 2007 (30.1 and 19.6 cases per 100,000 inhabitant-years, respectively). In 2010-2015, the incidence remained relatively stable with about 2.0 cases per 100,000 inhabitant-years. The scan statistics detected two spatial clusters of high risk and three spatio-temporal clusters of high risk that lasted from 2001 to 2008. A spatial autocorrelation was observed in the human visceral leishmaniasis case point distribution in 1999-2009. No spatio-temporal clusters and no spatial autocorrelation in the case point pattern were identified in 2010-2015. CONCLUSION: We identified a changing pattern of human visceral leishmaniasis occurrence in Araçatuba: the first period (1999-2009) showed a cyclic pattern, clusters, and presence of spatial dependence in the case point distribution; the second period (2010-2015) showed the lowest rates of all historical series, stable incidence, and cases with a random distribution pattern. Human visceral leishmaniasis Temporal analysis Spatial and spatio-temporal analysis Brazil Arctic medicine. Tropical medicine Marluci Monteiro Guirado verfasserin aut Lilian Aparecida Colebrusco Rodas verfasserin aut Margareth Regina Dibo verfasserin aut Francisco Chiaravalloti-Neto verfasserin aut In Revista da Sociedade Brasileira de Medicina Tropical Sociedade Brasileira de Medicina Tropical (SBMT), 2004 (DE-627)324614918 (DE-600)2028921-2 16789849 nnns https://doi.org/10.1590/0037-8682-0505-2017 kostenfrei https://doaj.org/article/164a577d3217415c864dc281df949b98 kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822018000400452&lng=en&tlng=en kostenfrei https://doaj.org/toc/1678-9849 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA AR |
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10.1590/0037-8682-0505-2017 doi (DE-627)DOAJ042889537 (DE-599)DOAJ164a577d3217415c864dc281df949b98 DE-627 ger DE-627 rakwb eng RC955-962 Patricia Marques Moralejo Bermudi verfasserin aut Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract INTRODUCTION: This study aimed to describe the occurrence of human visceral leishmaniasis in Araçatuba with regard to time and space and to identify high risk areas. METHODS: We included all human visceral leishmaniasis autochthonous cases reported between 1999 and 2015. The incidence rates were calculated by sex, age, and year. The human visceral leishmaniasis cases were geocoded and grouped by urban census tracts, enabling the calculation of the incidence and mortality rates by census tracts. For the identification of high risk areas, we utilized the scan statistics and univariate Ripley’s K-function. RESULTS: The incidence presented a cyclic pattern in 1999-2009, with peaks in 2002 and 2007 (30.1 and 19.6 cases per 100,000 inhabitant-years, respectively). In 2010-2015, the incidence remained relatively stable with about 2.0 cases per 100,000 inhabitant-years. The scan statistics detected two spatial clusters of high risk and three spatio-temporal clusters of high risk that lasted from 2001 to 2008. A spatial autocorrelation was observed in the human visceral leishmaniasis case point distribution in 1999-2009. No spatio-temporal clusters and no spatial autocorrelation in the case point pattern were identified in 2010-2015. CONCLUSION: We identified a changing pattern of human visceral leishmaniasis occurrence in Araçatuba: the first period (1999-2009) showed a cyclic pattern, clusters, and presence of spatial dependence in the case point distribution; the second period (2010-2015) showed the lowest rates of all historical series, stable incidence, and cases with a random distribution pattern. Human visceral leishmaniasis Temporal analysis Spatial and spatio-temporal analysis Brazil Arctic medicine. Tropical medicine Marluci Monteiro Guirado verfasserin aut Lilian Aparecida Colebrusco Rodas verfasserin aut Margareth Regina Dibo verfasserin aut Francisco Chiaravalloti-Neto verfasserin aut In Revista da Sociedade Brasileira de Medicina Tropical Sociedade Brasileira de Medicina Tropical (SBMT), 2004 (DE-627)324614918 (DE-600)2028921-2 16789849 nnns https://doi.org/10.1590/0037-8682-0505-2017 kostenfrei https://doaj.org/article/164a577d3217415c864dc281df949b98 kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822018000400452&lng=en&tlng=en kostenfrei https://doaj.org/toc/1678-9849 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA AR |
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RC955-962 Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil Human visceral leishmaniasis Temporal analysis Spatial and spatio-temporal analysis Brazil |
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misc RC955-962 misc Human visceral leishmaniasis misc Temporal analysis misc Spatial and spatio-temporal analysis misc Brazil misc Arctic medicine. Tropical medicine |
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Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil |
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Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil |
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Patricia Marques Moralejo Bermudi |
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Revista da Sociedade Brasileira de Medicina Tropical |
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Patricia Marques Moralejo Bermudi Marluci Monteiro Guirado Lilian Aparecida Colebrusco Rodas Margareth Regina Dibo Francisco Chiaravalloti-Neto |
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Patricia Marques Moralejo Bermudi |
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10.1590/0037-8682-0505-2017 |
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verfasserin |
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spatio-temporal analysis of the occurrence of human visceral leishmaniasis in araçatuba, state of são paulo, brazil |
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RC955-962 |
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Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil |
| abstract |
Abstract INTRODUCTION: This study aimed to describe the occurrence of human visceral leishmaniasis in Araçatuba with regard to time and space and to identify high risk areas. METHODS: We included all human visceral leishmaniasis autochthonous cases reported between 1999 and 2015. The incidence rates were calculated by sex, age, and year. The human visceral leishmaniasis cases were geocoded and grouped by urban census tracts, enabling the calculation of the incidence and mortality rates by census tracts. For the identification of high risk areas, we utilized the scan statistics and univariate Ripley’s K-function. RESULTS: The incidence presented a cyclic pattern in 1999-2009, with peaks in 2002 and 2007 (30.1 and 19.6 cases per 100,000 inhabitant-years, respectively). In 2010-2015, the incidence remained relatively stable with about 2.0 cases per 100,000 inhabitant-years. The scan statistics detected two spatial clusters of high risk and three spatio-temporal clusters of high risk that lasted from 2001 to 2008. A spatial autocorrelation was observed in the human visceral leishmaniasis case point distribution in 1999-2009. No spatio-temporal clusters and no spatial autocorrelation in the case point pattern were identified in 2010-2015. CONCLUSION: We identified a changing pattern of human visceral leishmaniasis occurrence in Araçatuba: the first period (1999-2009) showed a cyclic pattern, clusters, and presence of spatial dependence in the case point distribution; the second period (2010-2015) showed the lowest rates of all historical series, stable incidence, and cases with a random distribution pattern. |
| abstractGer |
Abstract INTRODUCTION: This study aimed to describe the occurrence of human visceral leishmaniasis in Araçatuba with regard to time and space and to identify high risk areas. METHODS: We included all human visceral leishmaniasis autochthonous cases reported between 1999 and 2015. The incidence rates were calculated by sex, age, and year. The human visceral leishmaniasis cases were geocoded and grouped by urban census tracts, enabling the calculation of the incidence and mortality rates by census tracts. For the identification of high risk areas, we utilized the scan statistics and univariate Ripley’s K-function. RESULTS: The incidence presented a cyclic pattern in 1999-2009, with peaks in 2002 and 2007 (30.1 and 19.6 cases per 100,000 inhabitant-years, respectively). In 2010-2015, the incidence remained relatively stable with about 2.0 cases per 100,000 inhabitant-years. The scan statistics detected two spatial clusters of high risk and three spatio-temporal clusters of high risk that lasted from 2001 to 2008. A spatial autocorrelation was observed in the human visceral leishmaniasis case point distribution in 1999-2009. No spatio-temporal clusters and no spatial autocorrelation in the case point pattern were identified in 2010-2015. CONCLUSION: We identified a changing pattern of human visceral leishmaniasis occurrence in Araçatuba: the first period (1999-2009) showed a cyclic pattern, clusters, and presence of spatial dependence in the case point distribution; the second period (2010-2015) showed the lowest rates of all historical series, stable incidence, and cases with a random distribution pattern. |
| abstract_unstemmed |
Abstract INTRODUCTION: This study aimed to describe the occurrence of human visceral leishmaniasis in Araçatuba with regard to time and space and to identify high risk areas. METHODS: We included all human visceral leishmaniasis autochthonous cases reported between 1999 and 2015. The incidence rates were calculated by sex, age, and year. The human visceral leishmaniasis cases were geocoded and grouped by urban census tracts, enabling the calculation of the incidence and mortality rates by census tracts. For the identification of high risk areas, we utilized the scan statistics and univariate Ripley’s K-function. RESULTS: The incidence presented a cyclic pattern in 1999-2009, with peaks in 2002 and 2007 (30.1 and 19.6 cases per 100,000 inhabitant-years, respectively). In 2010-2015, the incidence remained relatively stable with about 2.0 cases per 100,000 inhabitant-years. The scan statistics detected two spatial clusters of high risk and three spatio-temporal clusters of high risk that lasted from 2001 to 2008. A spatial autocorrelation was observed in the human visceral leishmaniasis case point distribution in 1999-2009. No spatio-temporal clusters and no spatial autocorrelation in the case point pattern were identified in 2010-2015. CONCLUSION: We identified a changing pattern of human visceral leishmaniasis occurrence in Araçatuba: the first period (1999-2009) showed a cyclic pattern, clusters, and presence of spatial dependence in the case point distribution; the second period (2010-2015) showed the lowest rates of all historical series, stable incidence, and cases with a random distribution pattern. |
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Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil |
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https://doi.org/10.1590/0037-8682-0505-2017 https://doaj.org/article/164a577d3217415c864dc281df949b98 http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822018000400452&lng=en&tlng=en https://doaj.org/toc/1678-9849 |
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Marluci Monteiro Guirado Lilian Aparecida Colebrusco Rodas Margareth Regina Dibo Francisco Chiaravalloti-Neto |
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