Detecting geographical clusters of low birth weight and/or preterm birth in Japan
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E. Ota | D. Yoneoka | S. Gilmour | T. Yorifuji | H. Shoji | M. Rahman | Yayoi Murano | Yoshiko Yamamoto | Md Obaidur Rahman
[1] T. Sairenchi,et al. LC-ESI/MS/MS analysis of neonicotinoids in urine of very low birth weight infants at birth , 2019, PloS one.
[2] Gretchen A. Stevens,et al. National, regional, and worldwide estimates of low birthweight in 2015, with trends from 2000: a systematic analysis , 2019, The Lancet. Global health.
[3] H. Meltzer,et al. Caffeine exposure during pregnancy, small for gestational age birth and neonatal outcome – results from the Norwegian Mother and Child Cohort Study , 2019, BMC Pregnancy and Childbirth.
[4] Jun Zhang,et al. Global, regional, and national estimates of levels of preterm birth in 2014: a systematic review and modelling analysis , 2018, The Lancet. Global health.
[5] R. Kishi,et al. Different Risk Factors for Very Low Birth Weight, Term-Small-for-Gestational-Age, or Preterm Birth in Japan , 2018, International journal of environmental research and public health.
[6] I. van Kamp,et al. WHO Environmental Noise Guidelines for the European Region: A Systematic Review of Transport Noise Interventions and Their Impacts on Health , 2017, International journal of environmental research and public health.
[7] E. Ota,et al. Japanese secular trends in birthweight and the prevalence of low birthweight infants during the last three decades: A population-based study , 2016, Scientific Reports.
[8] T. Talbot,et al. Identifying areas at risk of low birth weight using spatial epidemiology: A small area surveillance study. , 2016, Preventive medicine.
[9] Shinji Nakaoka,et al. New algorithm for constructing area-based index with geographical heterogeneities and variable selection: An application to gastric cancer screening , 2016, Scientific Reports.
[10] S. Sasaki,et al. Maternal total caffeine intake, mainly from Japanese and Chinese tea, during pregnancy was associated with risk of preterm birth: the Osaka Maternal and Child Health Study. , 2015, Nutrition research.
[11] S. McGuire. World Health Organization. Comprehensive Implementation Plan on Maternal, Infant, and Young Child Nutrition. Geneva, Switzerland, 2014. , 2015, Advances in nutrition.
[12] Colin Mathers,et al. Every Newborn: progress, priorities, and potential beyond survival , 2014, The Lancet.
[13] Keiko Tanaka,et al. Active and passive maternal smoking during pregnancy and birth outcomes: the Kyushu Okinawa Maternal and Child Health Study , 2013, BMC Pregnancy and Childbirth.
[14] W. Fawzi,et al. Mortality risk in preterm and small-for-gestational-age infants in low-income and middle-income countries: a pooled country analysis , 2013, The Lancet.
[15] Ayesha Sania,et al. National and regional estimates of term and preterm babies born small for gestational age in 138 low-income and middle-income countries in 2010 , 2013, The Lancet. Global health.
[16] I. Kawachi,et al. Income inequality, parental socioeconomic status, and birth outcomes in Japan. , 2013, American journal of epidemiology.
[17] T. Vrijkotte,et al. Preterm birth and small for gestational age in relation to alcohol consumption during pregnancy: stronger associations among vulnerable women? results from two large Western-European studies , 2013, BMC Pregnancy and Childbirth.
[18] Ann-Beth Moller,et al. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications , 2012, The Lancet.
[19] Jie Tian,et al. An Exploratory Spatial Data Analysis of Low Birth Weight Prevalence in Georgia , 2012 .
[20] H. Takimoto,et al. The regional difference in children's physical growth between Yaeyama Islands of Okinawa Prefecture and national survey in Japan , 2012 .
[21] P. Braveman,et al. Socioeconomic disparities in adverse birth outcomes: a systematic review. , 2010, American journal of preventive medicine.
[22] Sally Cook,et al. Geographical variation in infant mortality, stillbirth and low birth weight in Northern Ireland, 1992–2002 , 2010, Journal of Epidemiology & Community Health.
[23] R. Horgan,et al. Risk factors for small for gestational age infants. , 2009, Best practice & research. Clinical obstetrics & gynaecology.
[24] C. Binns,et al. Trends in the prevalence of low birth weight in Okinawa, Japan: a public health perspective , 2008, Acta paediatrica.
[25] Andrew B. Lawson,et al. Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology , 2008 .
[26] Y. Doi,et al. Spatial Clusters of Creutzfeldt-Jakob Disease Mortality in Japan between 1995 and 2004 , 2008, Neuroepidemiology.
[27] Roberto Romero,et al. Epidemiology and causes of preterm birth , 2008, The Lancet.
[28] M. Kaltenbach,et al. Noise perception, heart rate and blood pressure in relation to aircraft noise in the vicinity of the Frankfurt airport , 2007, Clinical Research in Cardiology.
[29] P. Gluckman,et al. Early life events and their consequences for later disease: A life history and evolutionary perspective , 2007, American journal of human biology : the official journal of the Human Biology Council.
[30] A. Babazono,et al. [Regional differences in perinatal mortality rates in Japan--an investigation based on vital statistics]. , 2004, Nihon eiseigaku zasshi. Japanese journal of hygiene.
[31] T. Miyakita,et al. [Association between the rates of low birth-weight and/or preterm infants and aircraft noise exposure]. , 2003, Nihon eiseigaku zasshi. Japanese journal of hygiene.
[32] T. Tango,et al. A test for spatial disease clustering adjusted for multiple testing. , 2000, Statistics in medicine.
[33] M Kulldorff,et al. Spatial disease clusters: detection and inference. , 1995, Statistics in medicine.
[34] R. Marshall. Mapping disease and mortality rates using empirical Bayes estimators. , 1991, Journal of the Royal Statistical Society. Series C, Applied statistics.
[35] D. Clayton,et al. Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. , 1987, Biometrics.
[36] Martin Charlton,et al. A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets , 1987, Int. J. Geogr. Inf. Sci..