دورية أكاديمية
أعرض في EDS

Spatial patterns and temporal tendency of mortality related to Chagas disease in an endemic area of northeastern Brazil.

التفاصيل البيبلوغرافية
العنوان: Spatial patterns and temporal tendency of mortality related to Chagas disease in an endemic area of northeastern Brazil.
المؤلفون: Góes JAP; Graduate Nursing Programme, Federal University of Sergipe, Aracaju, Brazil., Andrade LA; Graduate Nursing Programme, Federal University of Sergipe, Aracaju, Brazil., Carvalho MS; Department of Physiotherapy, Federal University of Sergipe, Aracaju, Brazil., Araújo DDC; Graduate Programme in Health Sciences, Federal University of Sergipe, Aracaju, Brazil., Santos MB; Post-graduate Programme in Parasitic Biology, Federal University of Sergipe, Aracaju, Brazil., Tanajura DM; Department of Health Education, Federal University of Sergipe Lagarto, Lagarto, Brazil., de Menezes AF; Graduate Nursing Programme, Federal University of Sergipe, Aracaju, Brazil., de Araújo KCGM; Graduate Programme in Health Sciences, Federal University of Sergipe, Aracaju, Brazil., Dos Santos AD; Graduate Nursing Programme, Federal University of Sergipe, Aracaju, Brazil.
المصدر: Tropical medicine & international health : TM & IH [Trop Med Int Health] 2020 Oct; Vol. 25 (10), pp. 1298-1305. Date of Electronic Publication: 2020 Aug 19.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 9610576 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-3156 (Electronic) Linking ISSN: 13602276 NLM ISO Abbreviation: Trop Med Int Health Subsets: MEDLINE
أسماء مطبوعة: Publication: Oxford : Blackwell Scientific Publications
Original Publication: Oxford, UK : Blackwell Science Ltd, c1996-
مواضيع طبية MeSH: Chagas Disease/*epidemiology, Adult ; Age Factors ; Aged ; Aged, 80 and over ; Brazil/epidemiology ; Chagas Disease/etiology ; Chagas Disease/mortality ; Female ; Humans ; Male ; Middle Aged ; Risk Factors ; Sex Factors ; Spatio-Temporal Analysis ; Young Adult
مستخلص: Objective: To analyse spatial patterns and the temporal tendency of mortality related to Chagas disease, in order to identify priority control areas in the state of Sergipe, Northeast Brazil.
Methods: We conducted an ecological and time-series study with spatial analysis techniques on deaths from Chagas disease in the state of Sergipe (1996-2016). We used data from the Mortality Information System (SIM). The temporal analysis was performed using a statistical technique capable of describing changes in the trend pattern for the period. Thematic maps were elaborated from point and polygonal analyses.
Results: There were 247 deaths related to Chagas disease, with a mean of 11.7 deaths/year, most of them male (64%), and aged 50-59 years (21%) and 60-69 years (26%). Two segments with increasing, non-constant and significant trends were identified: 1996-2005 (APC = 21.6%; P = 0.01) and 2005-2016 (APC = 4.4%; P = 0.01), with APPC = 11.8% (P = 0.01). A positive and significant spatial autocorrelation with areas of higher risk of death was found in the southern region of the state.
Conclusions: The trend of mortality related to Chagas disease in the state of Sergipe was increasing during the period analysed, with a heterogeneous distribution of cases. A main risk area was identified in the southern region of the state.
(© 2020 John Wiley & Sons Ltd.)
References: WHO. Chagas Disease (American trypanosomiasis). Geneva: World Health Organization. (Available from: http://www.who.int/mediacentre/factsheets/fs340/en/) [18 May 2020].
WHO. Weekly Epidemiological Record. Geneva: World Health Organization 2015: 90: 33-44.
Schmunis GA. Epidemiology of Chagas disease in non endemic countries: the role of international migration. Mem. Inst. Oswaldo Cruz 2007: 102(Suppl 1): 75-86.
Dias JCP, Ramos Júnior AN, Gontijo ED et al. Brazilian consensus on Chagas disease, 2015. Epidemiol Serv Saúde 2016: 25: 7-86.
Dias JCP, Cláudio LG, Lima MM et al. Changes in the paradigm of clinical and therapeutic management of Chagas' disease: progress and perspectives in the pursuit of comprehensive health. Epidemiol Serv Saúde 2016: 25: 87-90.
Martins-Melo FR, Ramos AN Jr, Alencar CH, Heukelbach J. Prevalence of Chagas disease in Brazil: a systematic review and meta-analysis. Acta Trop 2014: 130: 167-174.
Ministério da Saúde (BR), Secretaria de Vigilância em Saúde, Departamento de Análise de Situação de Saúde. Boletim Epidemiológico: Indicadores de Vigilância em Saúde descritos segundo a variável raça/cor Brasil. Brasília (DF); 2017. (Available from: http://portalarquivos2.saude.gov.br/images/pdf/2017/fevereiro/17/Indicadores-de-Vigilancia-em-Saude-descritos-segundo-ra-a-cor.pdf) [18 May 2020].
Glass IR, dos Santos AD, Varjão AEL, Costa IS, Correia D, Silva AM. Clinical and epidemiological characteristics of Chagas disease in an endemic area of Sergipe State. Brazil. Rev. Soc. Bras. Med. Trop 2018: 51: 660-664.
Medronho RA, Werneck GL. Técnicas de análise espacial em saúde. In: Medronho RA, Carvalho DM, Block KV, Luis RR Werneck GL (eds). Epidemiologia. Editora Atheneu: Rio de Janeiro, 2004, 427-463.
Antunes JLF, Cardoso MRA. Using time series analysis in epidemiological studies. Epidemiol Serv Saúde 2015: 24: 565-576.
Instituto Brasileiro de Geografia e Estatística. Censo 2010. IBGE: Rio de Janeiro; 2010. (Available from: https://censo2010.ibge.gov.br/) [18 May 2020].
WHO. International statistical classification of diseases and related health problems. 10th Revision. Version: 2016. World Health Organization: Geneva; 2016.
National Cancer Institute. Joinpoint Regression Program. Version 4.5.0.1. Statistical Methodology and Applications Branch, Surveillance Research Program: Bethesda, MD; 2013. (Available from: http://surveillance.Cancer.gov/joinpoint) [18 May 2020].
Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med 2000: 19: 335-351.
Bailey T, Gatrell AC. Interactive Spatial Data Analysis (1st edn), Longman Scientific & Technical: New York, 1995.
Chen Y. New Approaches for Calculating Moran’s Index of Spatial Autocorrelation. PLoS One 2013: 8: e68336.
Druck S, Carvalho MS, Câmara G, Monteiro AMV (eds.). Análise espacial de dados geográficos. Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA): Brasília (DF), 2004.
Google. Google maps geocoding API; 2018. (Available from: https://developers.google.com/maps/documentation/geocoding) [18 May 2020].
Abad-Franch F, Diotaiuti L, Gurgel-Gonçalves R, Gürtler RE. Certifying the interruption of Chagas disease transmission by native vectors: cui bono? Men Inst Oswaldo Cruz 2013: 108: 251-254.
Waldman EA, da Silva LJ, Monteiro CA. Infectious diseases trends: from polio elimination to the reintroduction of cholera. Inf. Epidemiol. Sus 1999: 8: 5-47.
Martins-Melo FR, Alencar CH, Ramos AN Jr, Heukelbach J. Epidemiology of mortality related to Chagas Disease in Brazil, 1997-2007. PLoS Negl Trop Dis 2012: 6: e1508.
Costa de Albuquerque MA, Dias DM, Vieira LT, Lima CA, da Silva MA. Mortality trends for neglected tropical diseases in the state of Sergipe, Brazil, 1980-2013. Infect Dis Poverty 2017: 6: 1980-2013.
Braz SCM, Melo MFAD, Lorena VMB, Souza WV, Gomes YM. Chagas disease in the state of Pernambuco, Brazil: analysis of admissions and mortality time series. Rev Soc Bras Med Trop 2011: 44: 318-323.
da Nóbrega AA, de Araújo WN, Vasconcelos AMN. Mortality due to Chagas disease in Brazil according to a specific cause. Am J Trop Med Hyg 2014: 91: 528-533.
Martins-Melo FR, Ramos Junior AN, Alencar CH, Heukelbach J. Multiple causes of death related to Chagas’ disease in Brazil, 1999 to 2007. Rev Soc Bras Med Trop 2012: 45: 591-596.
Coura JR, Viñas PA, Junqueira AC. Ecoepidemiology, short history and control of Chagas disease in the endemic countries and the new challenge for non-endemic countries. Mem Inst Oswaldo Cruz 2014: 109: 856-862.
Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Coordenação-Geral de Desenvolvimento da Epidemiologia em Serviços. Guia de Vigilância em Saúde: volume 3/Ministério da Saúde, Secretaria de Vigilância em Saúde, Coordenação-Geral de Desenvolvimento da Epidemiologia em Serviços, 1st edn. Ministério da Saúde: Brasília, 2017.
Simões TC, Borges LF, Parreira de Assis AC, Silva MV, dos Santos J, Meira KC. Chagas disease mortality in Brazil: A Bayesian analysis of age-period-cohort effects and forecasts for two decades. PLoS Negl Trop Dis 2018: 12: e0006798.
Fernández MDP, Gaspe MS, Gürtler RE. Inequalities in the social determinants of health and Chagas disease transmission risk in indigenous and creole households in the Argentine Chaco. Parasit Vectors 2019: 12: 184.
فهرسة مساهمة: Keywords: Chagas disease; analyse spatiale; maladie de Chagas; maladies négligées; mortality; mortalité; neglected diseases; spatial analysis; time-series studies; études de séries chronologiques
Local Abstract: [Publisher, French] Analyser les profils spatiaux et la tendance temporelle de la mortalité liée à la maladie de Chagas, afin d'identifier les domaines de priorité de lutte dans l'Etat de Sergipe, dans le nord-est du Brésil. MÉTHODES: Nous avons mené une étude écologique et de séries chronologiques avec des techniques d'analyse spatiale sur les décès dus à la maladie de Chagas dans l'état de Sergipe (1996-2016). Nous avons utilisé les données du système d'information sur la mortalité (SIM). L'analyse temporelle a été réalisée à l'aide d'une technique statistique capable de décrire les changements dans le profil de tendance pour la période. Des cartes thématiques ont été élaborées à partir d'analyses ponctuelles et polygonales. RÉSULTATS: Il y a eu 247 décès liés à la maladie de Chagas, avec une moyenne de 11,7 décès/an, pour la plupart de sexe masculin (64%), et âgés de 50 à 59 ans (21%) et de 60 à 69 ans (26%). Deux segments avec des tendances à la hausse, non constantes et significatives ont été identifiés: 1996-2005 (APC = 21,6%; p = 0,01) et 2005-2016 (APC = 4,4%; p = 0,01), avec APPC = 11,8% (p = 0,01). Une autocorrélation spatiale positive et significative avec des zones à haut risque de décès a été trouvée dans la région sud de l'Etat. [Publisher, French] La tendance de la mortalité liée à la maladie de Chagas dans l'état de Sergipe a augmenté au cours de la période analysée , avec une répartition hétérogène des cas. Une principale zone à risque a été identifiée dans la région sud de l'Etat.
تواريخ الأحداث: Date Created: 20200730 Date Completed: 20210308 Latest Revision: 20210308
رمز التحديث: 20221213
DOI: 10.1111/tmi.13471
PMID: 32726864
قاعدة البيانات: MEDLINE
الوصف
تدمد:1365-3156
DOI:10.1111/tmi.13471