The infant mortality and the geographical area in the city of Rio Claro, SP, BR

Orientadores: Roberto Wagner Lourenço, Maria Rita Donalisio CordeiroDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Ciencias MedicasResumo: A mortalidade infantil em populações urbanas é de grande importância para as políticas de saúde pública. Foi realizado um estudo ecológico exploratório com dados espaciais com o objetivo de contribuir para o entendimento das causas contextuais da mortalidade infantil, tendo em vista a distribuição territorial dos eventos. Neste trabalho são apresentados os resultados obtidos das análises estatística e espacial realizadas por meio de técnicas de geoprocessamento da mortalidade neonatal, mortalidade de crianças com até um ano de idade e de natimortos entre o período de 2000 a 2007, bem como da construção de seus coeficientes por áreas de abrangência em unidades de atendimento da saúde na área urbana do município de Rio Claro, SP, Brasil. Foram identificadas durante o período estudado as tendências do comportamento espaçotemporal da distribuição da mortalidade infantil e da natimortalidade no cenário urbano que neste trabalho se mostraram distribuídos irregularmente pela área de estudo com grande oscilação nos dados e que apesar de apresentar correlação positiva com as variáveis sócio-ambientais, estas foram pouco significativas. A correlação mais significativa observada foi entre o coeficiente de natimortalidade e o índice de qualidade sócio ambiental que registrou maior valor de correlação estatística linear de Pearson (r=0.2733), mostrando ser uma variável de influencia significativa na MI. Espera-se que com os resultados obtidos o estudo possa auxiliar no entendimento de determinantes de agravos à saúde e ajudar na implementação de programas de gestão e planejamento de diversos setores administrativos em áreas urbanas, inclusive o setor de saúdeAbstract: The child mortality in urban populations is of great importance for the policies of public health. An exploratory and ecological study using spatial data was carried out aiming to contribute for the understanding of the contextual causes of child mortality considering the territorial distribution of the events. This paper presents the results obtained in the spatial and statistical analysis carried out through geoprocessing techniques considering neonatal mortality, mortality of children up to one year old and stillbirths between 2000 and 2007 as well as the construction of coefficients considering the areas serviced by health centers in the urban area of Rio Claro, São Paulo state, Brazil. During the studied period spatial and temporal tendencies of the distribution of child mortality and stillbirths could be identified in the urban setting and were irregularly spread over the studied area with large oscillation in the data and, although they showed a positive correlation with the social and environmental variables this correlation was little significant. The most significant correlation was between the stillbirths between coefficient and the social environmental quality index which showed the higher Pearson statistical correlation linear value (r=0.2733) turning out to be influential in CM. It is expected that the study can help in the understanding of health hazards determiners and in the implementation of administrative programs of several sectors in the urban areas, including the health sectorMestradoSaude ColetivaMestre em Saude Coletiv

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Taking the pulse of Earth's tropical forests using networks of highly distributed plots

Tropical forests are the most diverse and productive ecosystems on Earth. While better understanding of these forests is critical for our collective future, until quite recently efforts to measure and monitor them have been largely disconnected. Networking is essential to discover the answers to questions that transcend borders and the horizons of funding agencies. Here we show how a global community is responding to the challenges of tropical ecosystem research with diverse teams measuring forests tree-by-tree in thousands of long-term plots. We review the major scientific discoveries of this work and show how this process is changing tropical forest science. Our core approach involves linking long-term grassroots initiatives with standardized protocols and data management to generate robust scaled-up results. By connecting tropical researchers and elevating their status, our Social Research Network model recognises the key role of the data originator in scientific discovery. Conceived in 1999 with RAINFOR (South America), our permanent plot networks have been adapted to Africa (AfriTRON) and Southeast Asia (T-FORCES) and widely emulated worldwide. Now these multiple initiatives are integrated via ForestPlots.net cyber-infrastructure, linking colleagues from 54 countries across 24 plot networks. Collectively these are transforming understanding of tropical forests and their biospheric role. Together we have discovered how, where and why forest carbon and biodiversity are responding to climate change, and how they feedback on it. This long-term pan-tropical collaboration has revealed a large long-term carbon sink and its trends, as well as making clear which drivers are most important, which forest processes are affected, where they are changing, what the lags are, and the likely future responses of tropical forests as the climate continues to change. By leveraging a remarkably old technology, plot networks are sparking a very modern revolution in tropical forest science. In the future, humanity can benefit greatly by nurturing the grassroots communities now collectively capable of generating unique, long-term understanding of Earth's most precious forests.Additional co-authors: Susan Laurance, William Laurance, Francoise Yoko Ishida, Andrew Marshall, Catherine Waite, Hannsjoerg Woell, Jean-Francois Bastin, Marijn Bauters, Hans Beeckman, Pfascal Boeckx, Jan Bogaert, Charles De Canniere, Thales de Haulleville, Jean-Louis Doucet, Olivier Hardy, Wannes Hubau, Elizabeth Kearsley, Hans Verbeeck, Jason Vleminckx, Steven W. Brewer, Alfredo Alarcón, Alejandro Araujo-Murakami, Eric Arets, Luzmila Arroyo, Ezequiel Chavez, Todd Fredericksen, René Guillén Villaroel, Gloria Gutierrez Sibauty, Timothy Killeen, Juan Carlos Licona, John Lleigue, Casimiro Mendoza, Samaria Murakami, Alexander Parada Gutierrez, Guido Pardo, Marielos Peña-Claros, Lourens Poorter, Marisol Toledo, Jeanneth Villalobos Cayo, Laura Jessica Viscarra, Vincent Vos, Jorge Ahumada, Everton Almeida, Jarcilene Almeida, Edmar Almeida de Oliveira, Wesley Alves da Cruz, Atila Alves de Oliveira, Fabrício Alvim Carvalho, Flávio Amorim Obermuller, Ana Andrade, Fernanda Antunes Carvalho, Simone Aparecida Vieira, Ana Carla Aquino, Luiz Aragão, Ana Claudia Araújo, Marco Antonio Assis, Jose Ataliba Mantelli Aboin Gomes, Fabrício Baccaro, Plínio Barbosa de Camargo, Paulo Barni, Jorcely Barroso, Luis Carlos Bernacci, Kauane Bordin, Marcelo Brilhante de Medeiros, Igor Broggio, José Luís Camargo, Domingos Cardoso, Maria Antonia Carniello, Andre Luis Casarin Rochelle, Carolina Castilho, Antonio Alberto Jorge Farias Castro, Wendeson Castro, Sabina Cerruto Ribeiro, Flávia Costa, Rodrigo Costa de Oliveira, Italo Coutinho, John Cunha, Lola da Costa, Lucia da Costa Ferreira, Richarlly da Costa Silva, Marta da Graça Zacarias Simbine, Vitor de Andrade Kamimura, Haroldo Cavalcante de Lima, Lia de Oliveira Melo, Luciano de Queiroz, José Romualdo de Sousa Lima, Mário do Espírito Santo, Tomas Domingues, Nayane Cristina dos Santos Prestes, Steffan Eduardo Silva Carneiro, Fernando Elias, Gabriel Eliseu, Thaise Emilio, Camila Laís Farrapo, Letícia Fernandes, Gustavo Ferreira, Joice Ferreira, Leandro Ferreira, Socorro Ferreira, Marcelo Fragomeni Simon, Maria Aparecida Freitas, Queila S. García, Angelo Gilberto Manzatto, Paulo Graça, Frederico Guilherme, Eduardo Hase, Niro Higuchi, Mariana Iguatemy, Reinaldo Imbrozio Barbosa, Margarita Jaramillo, Carlos Joly, Joice Klipel, Iêda Leão do Amaral, Carolina Levis, Antonio S. Lima, Maurício Lima Dan, Aline Lopes, Herison Madeiros, William E. Magnusson, Rubens Manoel dos Santos, Beatriz Marimon, Ben Hur Marimon Junior, Roberta Marotti Martelletti Grillo, Luiz Martinelli, Simone Matias Reis, Salomão Medeiros, Milton Meira-Junior, Thiago Metzker, Paulo Morandi, Natanael Moreira do Nascimento, Magna Moura, Sandra Cristina Müller, Laszlo Nagy, Henrique Nascimento, Marcelo Nascimento, Adriano Nogueira Lima, Raimunda Oliveira de Araújo, Jhonathan Oliveira Silva, Marcelo Pansonato, Gabriel Pavan Sabino, Karla Maria Pedra de Abreu, Pablo José Francisco Pena Rodrigues, Maria Piedade, Domingos Rodrigues, José Roberto Rodrigues Pinto, Carlos Quesada, Eliana Ramos, Rafael Ramos, Priscyla Rodrigues, Thaiane Rodrigues de Sousa, Rafael Salomão, Flávia Santana, Marcos Scaranello, Rodrigo Scarton Bergamin, Juliana Schietti, Jochen Schöngart, Gustavo Schwartz, Natalino Silva, Marcos Silveira, Cristiana Simão Seixas, Marta Simbine, Ana Claudia Souza, Priscila Souza, Rodolfo Souza, Tereza Sposito, Edson Stefani Junior, Julio Daniel do Vale, Ima Célia Guimarães Vieira, Dora Villela, Marcos Vital, Haron Xaud, Katia Zanini, Charles Eugene Zartman, Nur Khalish Hafizhah Ideris, Faizah binti Hj Metali, Kamariah Abu Salim, Muhd Shahruney Saparudin, Rafizah Mat Serudin, Rahayu Sukmaria Sukri, Serge Begne, George Chuyong, Marie Noel Djuikouo, Christelle Gonmadje, Murielle Simo-Droissart, Bonaventure Sonké, Hermann Taedoumg, Lise Zemagho, Sean Thomas, Fidèle Baya, Gustavo Saiz, Javier Silva Espejo, Dexiang Chen, Alan Hamilton, Yide Li, Tushou Luo, Shukui Niu, Han Xu, Zhang Zhou, Esteban Álvarez-Dávila, Juan Carlos Andrés Escobar, Henry Arellano-Peña, Jaime Cabezas Duarte, Jhon Calderón, Lina Maria Corrales Bravo, Borish Cuadrado, Hermes Cuadros, Alvaro Duque, Luisa Fernanda Duque, Sandra Milena Espinosa, Rebeca Franke-Ante, Hernando García, Alejandro Gómez, Roy González-M., Álvaro Idárraga-Piedrahíta, Eliana Jimenez, Rubén Jurado, Wilmar López Oviedo, René López-Camacho, Omar Aurelio Melo Cruz, Irina Mendoza Polo, Edwin Paky, Karen Pérez, Angel Pijachi, Camila Pizano, Adriana Prieto, Laura Ramos, Zorayda Restrepo Correa, James Richardson, Elkin Rodríguez, Gina M. Rodriguez M., Agustín Rudas, Pablo Stevenson, Markéta Chudomelová, Martin Dancak, Radim Hédl, Stanislav Lhota, Martin Svatek, Jacques Mukinzi, Corneille Ewango, Terese Hart, Emmanuel Kasongo Yakusu, Janvier Lisingo, Jean-Remy Makana, Faustin Mbayu, Benjamin Toirambe, John Tshibamba Mukendi, Lars Kvist, Gustav Nebel, Selene Báez, Carlos Céron, Daniel M. Griffith, Juan Ernesto Guevara Andino, David Neill, Walter Palacios, Maria Cristina Peñuela-Mora, Gonzalo Rivas-Torres, Gorky Villa, Sheleme Demissie, Tadesse Gole, Techane Gonfa, Kalle Ruokolainen, Michel Baisie, Fabrice Bénédet, Wemo Betian, Vincent Bezard, Damien Bonal, Jerôme Chave, Vincent Droissart, Sylvie Gourlet-Fleury, Annette Hladik, Nicolas Labrière, Pétrus Naisso, Maxime Réjou-Méchain, Plinio Sist, Lilian Blanc, Benoit Burban, Géraldine Derroire, Aurélie Dourdain, Clement Stahl, Natacha Nssi Bengone, Eric Chezeaux, Fidèle Evouna Ondo, Vincent Medjibe, Vianet Mihindou, Lee White, Heike Culmsee, Cristabel Durán Rangel, Viviana Horna, Florian Wittmann, Stephen Adu-Bredu, Kofi Affum-Baffoe, Ernest Foli, Michael Balinga, Anand Roopsind, James Singh, Raquel Thomas, Roderick Zagt, Indu K. Murthy, Kuswata Kartawinata, Edi Mirmanto, Hari Priyadi, Ismayadi Samsoedin, Terry Sunderland, Ishak Yassir, Francesco Rovero, Barbara Vinceti, Bruno Hérault, Shin-Ichiro Aiba, Kanehiro Kitayama, Armandu Daniels, Darlington Tuagben, John T. Woods, Muhammad Fitriadi, Alexander Karolus, Kho Lip Khoon, Noreen Majalap, Colin Maycock, Reuben Nilus, Sylvester Tan, Almeida Sitoe, Indiana Coronado G., Lucas Ojo, Rafael de Assis, Axel Dalberg Poulsen, Douglas Sheil, Karen Arévalo Pezo, Hans Buttgenbach Verde, Victor Chama Moscoso, Jimmy Cesar Cordova Oroche, Fernando Cornejo Valverde, Massiel Corrales Medina, Nallaret Davila Cardozo, Jano de Rutte Corzo, Jhon del Aguila Pasquel, Gerardo Flores Llampazo, Luis Freitas, Darcy Galiano Cabrera, Roosevelt García Villacorta, Karina Garcia Cabrera, Diego García Soria, Leticia Gatica Saboya, Julio Miguel Grandez Rios, Gabriel Hidalgo Pizango, Eurídice Honorio Coronado, Isau Huamantupa-Chuquimaco, Walter Huaraca Huasco, Yuri Tomas Huillca Aedo, Jose Luis Marcelo Peña, Abel Monteagudo Mendoza, Vanesa Moreano Rodriguez, Percy Núñez Vargas, Sonia Cesarina Palacios Ramos, Nadir Pallqui Camacho, Antonio Peña Cruz, Freddy Ramirez Arevalo, José Reyna Huaymacari, Carlos Reynel Rodriguez, Marcos Antonio Ríos Paredes, Lily Rodriguez Bayona, Rocio del Pilar Rojas Gonzales, Maria Elena Rojas Peña, Norma Salinas Revilla, Yahn Carlos Soto Shareva, Raul Tupayachi Trujillo, Luis Valenzuela Gamarra, Rodolfo Vasquez Martinez, Jim Vega Arenas, Christian Amani, Suspense Averti Ifo, Yannick Bocko, Patrick Boundja, Romeo Ekoungoulou, Mireille Hockemba, Donatien Nzala, Alusine Fofanah, David Taylor, Guillermo Bañares-de Dios, Luis Cayuela, Íñigo Granzow-de la Cerda, Manuel Macía, Juliana Stropp, Maureen Playfair, Verginia Wortel, Toby Gardner, Robert Muscarella, Hari Priyadi, Ervan Rutishauser, Kuo-Jung Chao, Pantaleo Munishi, Olaf Bánki, Frans Bongers, Rene Boot, Gabriella Fredriksson, Jan Reitsma, Hans ter Steege, Tinde van Andel, Peter van de Meer, Peter van der Hout, Mark van Nieuwstadt, Bert van Ulft, Elmar Veenendaal, Ronald Vernimmen, Pieter Zuidema, Joeri Zwerts, Perpetra Akite, Robert Bitariho, Colin Chapman, Eilu Gerald, Miguel Leal, Patrick Mucunguzi, Miguel Alexiades, Timothy R. Baker, Karina Banda, Lindsay Banin, Jos Barlow, Amy Bennett, Erika Berenguer, Nicholas Berry, Neil M. Bird, George A. Blackburn, Francis Brearley, Roel Brienen, David Burslem, Lidiany Carvalho, Percival Cho, Fernanda Coelho, Murray Collins, David Coomes, Aida Cuni-Sanchez, Greta Dargie, Kyle Dexter, Mat Disney, Freddie Draper, Muying Duan, Adriane Esquivel-Muelbert, Robert Ewers, Belen Fadrique, Sophie Fauset, Ted R. Feldpausch, Filipe França, David Galbraith, Martin Gilpin, Emanuel Gloor, John Grace, Keith Hamer, David Harris, Tommaso Jucker, Michelle Kalamandeen, Bente Klitgaard, Aurora Levesley, Simon L. Lewis, Jeremy Lindsell, Gabriela Lopez-Gonzalez, Jon Lovett, Yadvinder Malhi, Toby Marthews, Emma McIntosh, Karina Melgaço, William Milliken, Edward Mitchard, Peter Moonlight, Sam Moore, Alexandra Morel, Julie Peacock, Kelvin Peh, Colin Pendry, R. Toby Pennington, Luciana de Oliveira Pereira, Carlos Peres, Oliver L. Phillips, Georgia Pickavance, Thomas Pugh, Lan Qie, Terhi Riutta, Katherine Roucoux, Casey Ryan, Tiina Sarkinen, Camila Silva Valeria, Dominick Spracklen, Suzanne Stas, Martin Sullivan, Michael Swaine, Joey Talbot, James Taplin, Geertje van der Heijden, Laura Vedovato, Simon Willcock, Mathew Williams, Luciana Alves, Patricia Alvarez Loayza, Gabriel Arellano, Cheryl Asa, Peter Ashton, Gregory Asner, Terry Brncic, Foster Brown, Robyn Burnham, Connie Clark, James Comiskey, Gabriel Damasco, Stuart Davies, Tony Di Fiore, Terry Erwin, William Farfan-Rios, Jefferson Hall, David Kenfack, Thomas Lovejoy, Roberta Martin, Olga Martha Montiel, John Pipoly, Nigel Pitman, John Poulsen, Richard Primack, Miles Silman, Marc Steininger, Varun Swamy, John Terborgh, Duncan Thomas, Peter Umunay, Maria Uriarte, Emilio Vilanova Torre, Ophelia Wang, Kenneth Young, Gerardo A. Aymard C., Lionel Hernández, Rafael Herrera Fernández, Hirma Ramírez-Angulo, Pedro Salcedo, Elio Sanoja, Julio Serrano, Armando Torres-Lezama, Tinh Cong Le, Trai Trong Le, Hieu Dang Tra

Study of traffic accidents with victims in the city of Rio Claro, Sao Paulo, with the support of geoprocessing techniques

Orientador: Roberto Wagner LourençoTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Ciências MédicasResumo: Atualmente, os acidentes de trânsito matam em todo o mundo mais de um milhão de pessoas por ano e deixam feridas entre 20 milhões e 50 milhões de pessoas. Os jovens representam a maioria das vítimas, que, muitas vezes, apresentarão seqüelas pelo resto da vida (DETRAN/RS, 2007). Neste contexto, o objetivo deste trabalho foi estudar os acidentes de trânsito com vítimas na área urbana de Rio Claro no ano de 2008 e buscar os fatores que se configuram como risco nas ocorrências de acidentes. Para o desenvolvimento deste trabalho foram utilizadas técnicas de geoprocesamento e estatística espacial multivariada. Uma análise local foi realizada nas áreas com maiores ocorrências de acidentes para melhor compreensão dos atributos locais. Os resultados indicam um padrão de localização de acidentes e as variáveis que contribuem para isto são grande fluxo de veículos na zona central e avenidas de trânsito rápido. O perfil dos envolvidos demonstra predominância de pessoas do sexo masculino com faixa etária entre 18 e 30 anos. Quanto ao tipo de veículos há um predomínio de carros, a seguir as motos e as bicicletas foram os mais envolvidos em acidentes. A maior parte das ocorrências aconteceu entre 9 e 18 horas, com tempo em boas condições. Estes resultados colaboram para a compreensão dos fatores que contribuem para as ocorrências de acidentes de trânsito na área urbana de Rio Claro e podem subsidiar na implantação de políticas públicas e programas nas áreas da saúde, de trânsito e segurança para a comunidade no sentido de minimizar as ocorrências e seus impactosAbstract: Today, the traffic accidents kill more than one million people per year all over the world and injure between 20 and 50 million people. Young individuals represent the majority of the victims who, in many cases, will present sequels for the rest of their lives (DETRAN/RS, 2007). In this context, the objective of this work was to study the traffic accidents with victims in the urban area of Rio Claro in the year of 2008 and indicate the factors which represent risks for the occurrence of accidents. Geoprocessing and multivaried spatial statistic techniques were used for the development of this study. A local analysis was performed in the areas of greater incidence of accidents for a better understanding of the local attributes. The results indicate a pattern of location of accidents and the variables which contribute for this are the intense flow of vehicles in the central zone and high speed avenues. The profile of the individuals involved demonstrates predominance of males between the ages 18 to 30. Concerning the type of vehicle, cars predominate, followed by motorcycles and bicycles. Most incidents happened between 9am and 6 pm, under good weather conditions. These results help to understand the factors which contribute for the occurrence of traffic accidents in the urban area of Rio Claro and can provide subsidies for the implementation of public policies and health, traffic and safety programs for the community aiming to decrease the number of occurrences and minimize their impactDoutoradoEpidemiologiaDoutora em Saúde Coletiv

Spatial analysis of infant mortality and its relationship to socio environmental in urban area of Rio Claro, SP, BR

OBJECTIVES: To analyze the spatial distribution of child mortality coefficients (CMI), recently born mortality (CMNN) and stillbirths (CNM), likewise socio-environmental indicators within urban areas in Public Health Units (UAS) of Rio Claro, SP. METHODS: Ecological study with statistics analysis and geoprocessing application through data bank development using Geographic Information System tools, recently born mortality, child mortality and stillbirths, as well as the records of births in the period of 2000 to 2007. From those information, obtain the respective coefficients of mortality analyzed by Public Health Units cover. In addition, socio-environmental indicators had been acquired based on information such as trash collection conditions, sanitary setting, water supply and from scholarship information, finance and housing property category, based on Censo information from Instituto Brasileiro de Geografia e Estatísca (IBGE), 2000. RESULTS: The most significant correlation was verified between the stillbirth and socio-environmental quality index (30%). Child mortality reveled 12% and recently born mortality exhibited negative correlation. The obtained results suggested there are other factors such as genetically-related, life style and health services influencing child mortality. CONCLUSIONS: The obtained results are expected to help in the understanding of health hazards determining factors and assist on the implementation of management programs from administrative sectors in urban areas, specially the public health field.OBJETIVO: O objetivo deste trabalho foi analisar a distribuição espacial dos coeficientes de mortalidade infantil (CMI), de mortalidade neonatal (CMNN) e de natimortalidade (CNM) e de indicadores sócio-ambientais em Unidade de Atendimento à Saúde (UAS) na área urbana de Rio Claro, SP. MÉTODOS: Estudo ecológico com aplicação de técnicas de análise estatística e de geoprocessamento por meio da construção de banco de dados utilizando Sistemas de Informações Geográficas e registros de mortalidade neonatal, mortalidade infantil e de natimortos, bem como os registros dos nascimentos do período de 2000 a 2007 e a partir dessas informações foram construídos os respectivos coeficientes de mortalidade analisados por áreas de abrangência relacionadas às unidades de atendimento da saúde. Também foram construídos indicadores de qualidade sócio-ambiental com base nas informações das condições de coleta de lixo, condições sanitárias, abastecimento de águas e das informações relacionadas às condições de escolaridade, renda e natureza da propriedade do imóvel, baseado em informações do Censo, IBGE 2000. RESULTADOS: As correlações mais importantes foram verificadas entre o coeficiente de natimortalidade e o índice de qualidade sócio ambiental (30%), a mortalidade infantil apresentou 12% e a mortalidade neonatal apresentou correlação negativa. Os resultados obtidos sugerem que provavelmente existam outros fatores como geneticidade, estilo de vida e serviços de saúde influenciando na mortalidade infantil. CONCLUSÃ ES: Espera-se com os resultados obtidos poder auxiliar no entendimento de determinantes de agravos à saúde e ajudar na implantação de programas de gestão e planejamento de diversos setores administrativos em áreas urbanas, principalmente o setor de saúde.435451Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP