Publicação
Space–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil
| Resumo: | Acute diarrhea is the second leading cause of death among children in developing countries and is strongly related with the socioeconomic conditions of the population. In Brazil, data show a drop in the diarrhea mortality rate. Nevertheless, the northeastern region still has the most deaths. Considering this, we analyze high-risk areas for diarrhea- and gastroenteritis-related deaths, and their association with social determinants of health (SDH) in the state with one of the worst human development indicators in Brazil (Alagoas) between 2000 and 2019. We applied temporal, spatial, and space–time risk modelling. We used a log-linear regression model to assess temporal trends and the local empirical Bayesian estimator, the global and local Moran indices for spatial analysis. Spearman’s correlation was used to correlate mortality rates with SDH. A total of 3472 diarrhea-related deaths were reported during this period in Alagoas. We observed a decreasing time trend of deaths in the state (9.41/100,000 in 2000 to 2.21 in 2019; APC = −6.7; p-value < 0.001), especially in children under one year of age. However, there was stability among adults and the elderly. We identified two high-risk spatiotemporal clusters of mortality in inland municipalities. Lastly, mortality rates correlated significantly with 90% of SDH. Taken together, these findings indicate that diarrhea diseases remain a serious public health concern in Alagoas, mainly in the poorest and inland municipalities. Thereby, it is urgently necessary to invest in measures to control and prevent cases, and improve the living conditions of the poorest populations and those with the highest social vulnerability index. |
|---|---|
| Autores principais: | Lima, Deanna dos Santos |
| Outros Autores: | da Paz, Wandklebson Silva; Lopes de Sousa, Álvaro Francisco; de Andrade, Denise; Conacci, Beatriz Juliana; Damasceno, Flávia Silva; Bezerra-Santos, Márcio |
| Assunto: | Brazil diarrhea gastroenteritis public health spatial analysis RA0421 Public health. Hygiene. Preventive Medicine RC Internal medicine HV Social pathology. Social and public welfare General Immunology and Microbiology Public Health, Environmental and Occupational Health Infectious Diseases SDG 3 - Good Health and Well-being SDG 10 - Reduced Inequalities SDG 1 - No Poverty |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1865920608401883136 |
|---|---|
| author | Lima, Deanna dos Santos |
| author2 | da Paz, Wandklebson Silva Lopes de Sousa, Álvaro Francisco de Andrade, Denise Conacci, Beatriz Juliana Damasceno, Flávia Silva Bezerra-Santos, Márcio |
| author2_role | author author author author author author |
| author_facet | Lima, Deanna dos Santos Lima, Deanna dos Santos da Paz, Wandklebson Silva Lopes de Sousa, Álvaro Francisco de Andrade, Denise Conacci, Beatriz Juliana Damasceno, Flávia Silva Bezerra-Santos, Márcio da Paz, Wandklebson Silva Lopes de Sousa, Álvaro Francisco de Andrade, Denise Conacci, Beatriz Juliana Damasceno, Flávia Silva Bezerra-Santos, Márcio |
| author_role | author |
| contributor_name_str_mv | Population health, policies and services (PPS) Global Health and Tropical Medicine (GHTM) Instituto de Higiene e Medicina Tropical (IHMT) Universidade NOVA de Lisboa MDPI - Multidisciplinary Digital Publishing Institute RUN |
| country_str | PT |
| creators_json_str | [{\"Person.name\":\"Lima, Deanna dos Santos\"},{\"Person.name\":\"da Paz, Wandklebson Silva\"},{\"Person.name\":\"Lopes de Sousa, Álvaro Francisco\"},{\"Person.name\":\"de Andrade, Denise\"},{\"Person.name\":\"Conacci, Beatriz Juliana\"},{\"Person.name\":\"Damasceno, Flávia Silva\"},{\"Person.name\":\"Bezerra-Santos, Márcio\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Population health, policies and services (PPS) Global Health and Tropical Medicine (GHTM) Instituto de Higiene e Medicina Tropical (IHMT) Universidade NOVA de Lisboa MDPI - Multidisciplinary Digital Publishing Institute RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Lima, Deanna dos Santos da Paz, Wandklebson Silva Lopes de Sousa, Álvaro Francisco de Andrade, Denise Conacci, Beatriz Juliana Damasceno, Flávia Silva Bezerra-Santos, Márcio |
| datacite.date.Accepted.fl_str_mv | 2022-10-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-01-25T22:16:55Z |
| datacite.date.embargoed.fl_str_mv | 2023-01-25T22:16:55Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Brazil diarrhea gastroenteritis public health spatial analysis RA0421 Public health. Hygiene. Preventive Medicine RC Internal medicine HV Social pathology. Social and public welfare General Immunology and Microbiology Public Health, Environmental and Occupational Health Infectious Diseases SDG 3 - Good Health and Well-being SDG 10 - Reduced Inequalities SDG 1 - No Poverty |
| datacite.titles.title.fl_str_mv | Space–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil A 20-Year Population-Based Study |
| dc.contributor.none.fl_str_mv | Population health, policies and services (PPS) Global Health and Tropical Medicine (GHTM) Instituto de Higiene e Medicina Tropical (IHMT) Universidade NOVA de Lisboa MDPI - Multidisciplinary Digital Publishing Institute RUN |
| dc.creator.none.fl_str_mv | Lima, Deanna dos Santos da Paz, Wandklebson Silva Lopes de Sousa, Álvaro Francisco de Andrade, Denise Conacci, Beatriz Juliana Damasceno, Flávia Silva Bezerra-Santos, Márcio |
| dc.date.Accepted.fl_str_mv | 2022-10-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-01-25T22:16:55Z |
| dc.date.embargoed.fl_str_mv | 2023-01-25T22:16:55Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/148173 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Brazil diarrhea gastroenteritis public health spatial analysis RA0421 Public health. Hygiene. Preventive Medicine RC Internal medicine HV Social pathology. Social and public welfare General Immunology and Microbiology Public Health, Environmental and Occupational Health Infectious Diseases SDG 3 - Good Health and Well-being SDG 10 - Reduced Inequalities SDG 1 - No Poverty |
| dc.title.fl_str_mv | Space–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil A 20-Year Population-Based Study |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | Acute diarrhea is the second leading cause of death among children in developing countries and is strongly related with the socioeconomic conditions of the population. In Brazil, data show a drop in the diarrhea mortality rate. Nevertheless, the northeastern region still has the most deaths. Considering this, we analyze high-risk areas for diarrhea- and gastroenteritis-related deaths, and their association with social determinants of health (SDH) in the state with one of the worst human development indicators in Brazil (Alagoas) between 2000 and 2019. We applied temporal, spatial, and space–time risk modelling. We used a log-linear regression model to assess temporal trends and the local empirical Bayesian estimator, the global and local Moran indices for spatial analysis. Spearman’s correlation was used to correlate mortality rates with SDH. A total of 3472 diarrhea-related deaths were reported during this period in Alagoas. We observed a decreasing time trend of deaths in the state (9.41/100,000 in 2000 to 2.21 in 2019; APC = −6.7; p-value < 0.001), especially in children under one year of age. However, there was stability among adults and the elderly. We identified two high-risk spatiotemporal clusters of mortality in inland municipalities. Lastly, mortality rates correlated significantly with 90% of SDH. Taken together, these findings indicate that diarrhea diseases remain a serious public health concern in Alagoas, mainly in the poorest and inland municipalities. Thereby, it is urgently necessary to invest in measures to control and prevent cases, and improve the living conditions of the poorest populations and those with the highest social vulnerability index. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/5fb5e522-db0f-4ee0-a9d5-85f83284034e/download |
| id | run_1b4a24f435eb19f59ea2bd950c2638bb |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/148173 |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/148173 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Lima, Deanna dos Santos da Paz, Wandklebson Silva Lopes de Sousa, Álvaro Francisco de Andrade, Denise Conacci, Beatriz Juliana Damasceno, Flávia Silva Bezerra-Santos, Márcio |
| publishDate | 2022 |
| reponame_str | Repositório Institucional da UNL |
| repository_id_str | urn:repositoryAcronym:run |
| service_str_mv | urn:repositoryAcronym:run |
| spelling | engenAcute diarrhea is the second leading cause of death among children in developing countries and is strongly related with the socioeconomic conditions of the population. In Brazil, data show a drop in the diarrhea mortality rate. Nevertheless, the northeastern region still has the most deaths. Considering this, we analyze high-risk areas for diarrhea- and gastroenteritis-related deaths, and their association with social determinants of health (SDH) in the state with one of the worst human development indicators in Brazil (Alagoas) between 2000 and 2019. We applied temporal, spatial, and space–time risk modelling. We used a log-linear regression model to assess temporal trends and the local empirical Bayesian estimator, the global and local Moran indices for spatial analysis. Spearman’s correlation was used to correlate mortality rates with SDH. A total of 3472 diarrhea-related deaths were reported during this period in Alagoas. We observed a decreasing time trend of deaths in the state (9.41/100,000 in 2000 to 2.21 in 2019; APC = −6.7; p-value < 0.001), especially in children under one year of age. However, there was stability among adults and the elderly. We identified two high-risk spatiotemporal clusters of mortality in inland municipalities. Lastly, mortality rates correlated significantly with 90% of SDH. Taken together, these findings indicate that diarrhea diseases remain a serious public health concern in Alagoas, mainly in the poorest and inland municipalities. Thereby, it is urgently necessary to invest in measures to control and prevent cases, and improve the living conditions of the poorest populations and those with the highest social vulnerability index.application/pdfenSpace–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern BrazilSubtitleenA 20-Year Population-Based StudyLima, Deanna dos Santosda Paz, Wandklebson SilvaLopes de Sousa, Álvaro Franciscode Andrade, DeniseConacci, Beatriz JulianaDamasceno, Flávia SilvaBezerra-Santos, MárcioPopulation health, policies and services (PPS)Global Health and Tropical Medicine (GHTM)Instituto de Higiene e Medicina Tropical (IHMT)Universidade NOVA de LisboaMDPI - Multidisciplinary Digital Publishing InstituteHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptISSNIsPartOf2414-6366URNIsPartOfPURE: 50665250URNIsPartOfPURE UUID: 0e853315-4a4b-4856-831b-dfdcf49c8f0aURNIsPartOfScopus: 85140592000URNIsPartOfPubMedCentral: PMC9610189URNIsPartOfPubMed: 36288053DOIIsPartOf10.3390/tropicalmed71003122023-01-25T22:16:55Z2022-102022-10-01T00:00:00ZHandlehttp://hdl.handle.net/10362/148173http://purl.org/coar/access_right/c_abf2open accessBrazildiarrheagastroenteritispublic healthspatial analysisRA0421 Public health. Hygiene. Preventive MedicineRC Internal medicineHV Social pathology. Social and public welfareGeneral Immunology and MicrobiologyPublic Health, Environmental and Occupational HealthInfectious DiseasesSDG 3 - Good Health and Well-beingSDG 10 - Reduced InequalitiesSDG 1 - No Poverty1405629 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/5fb5e522-db0f-4ee0-a9d5-85f83284034e/download |
| spellingShingle | Space–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil Space–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil Lima, Deanna dos Santos Brazil diarrhea gastroenteritis public health spatial analysis RA0421 Public health. Hygiene. Preventive Medicine RC Internal medicine HV Social pathology. Social and public welfare General Immunology and Microbiology Public Health, Environmental and Occupational Health Infectious Diseases SDG 3 - Good Health and Well-being SDG 10 - Reduced Inequalities SDG 1 - No Poverty Lima, Deanna dos Santos Brazil diarrhea gastroenteritis public health spatial analysis RA0421 Public health. Hygiene. Preventive Medicine RC Internal medicine HV Social pathology. Social and public welfare General Immunology and Microbiology Public Health, Environmental and Occupational Health Infectious Diseases SDG 3 - Good Health and Well-being SDG 10 - Reduced Inequalities SDG 1 - No Poverty |
| status | NEW |
| subject.fl_str_mv | Brazil diarrhea gastroenteritis public health spatial analysis RA0421 Public health. Hygiene. Preventive Medicine RC Internal medicine HV Social pathology. Social and public welfare General Immunology and Microbiology Public Health, Environmental and Occupational Health Infectious Diseases SDG 3 - Good Health and Well-being SDG 10 - Reduced Inequalities SDG 1 - No Poverty |
| title | Space–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil |
| title_full | Space–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil |
| title_fullStr | Space–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil Space–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil |
| title_full_unstemmed | Space–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil Space–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil |
| title_short | Space–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil |
| title_sort | Space–Time Clustering and Socioeconomic Factors Associated with Mortality from Diarrhea in Alagoas, Northeastern Brazil |
| topic | Brazil diarrhea gastroenteritis public health spatial analysis RA0421 Public health. Hygiene. Preventive Medicine RC Internal medicine HV Social pathology. Social and public welfare General Immunology and Microbiology Public Health, Environmental and Occupational Health Infectious Diseases SDG 3 - Good Health and Well-being SDG 10 - Reduced Inequalities SDG 1 - No Poverty |
| topic_facet | Brazil diarrhea gastroenteritis public health spatial analysis RA0421 Public health. Hygiene. Preventive Medicine RC Internal medicine HV Social pathology. Social and public welfare General Immunology and Microbiology Public Health, Environmental and Occupational Health Infectious Diseases SDG 3 - Good Health and Well-being SDG 10 - Reduced Inequalities SDG 1 - No Poverty |
| url | http://hdl.handle.net/10362/148173 |
| visible | 1 |