Investigation on circular asymmetry of geographical distribution of mortality risk in Hiroshima atomic bomb survivors

While there are a considerable number of studies on the relationship between the risk of disease or death and direct exposure from the atomic bomb in Hiroshima, the risk for indirect exposure caused by residual radioactivity has not yet been fully evaluated. One of the reasons is that risk assessments have utilized estimated radiation doses, but that it is difficult to estimate indirect exposure. To evaluate risks for other causes, including indirect radiation exposure, as well as direct exposure, a statistical method is described here that evaluates risk with respect to individual location at the time of atomic bomb exposure instead of radiation dose. The proposed method is applied to a cohort study of Hiroshima atomic bomb survivors. The resultant contour map suggests that the region north-west to the hypocenter has a higher risk compared to other areas. This in turn suggests that there exists an impact on risk that cannot be explained by direct exposure. INTRODUCTION The risk of disease or death caused by exposure to atomic bomb radiation has been evaluated using estimated radiation doses based on information concerning age, shielding conditions and distance from the hypocenter under the assumption that the radiation dose decreases with increasing distance from the hypocenter (see, e.g., Preston et al 2007; Matsuura et al. 1997). For details of the dosimetry system used, see e.g. DS02 system (Cullings et al. 2006; Young and Kerr 2005). The corresponding risk analyses focused solely on the risk from direct exposure to the atomic bomb, while the risk from indirect exposure due to residual radioactivity has been not evaluated in previous analyses. This means that the geographical distribution of risk has been structurally restricted to concentric circles under the assumption that the influence of direct exposure essentially depends on the distance from the hypocenter. For example, Peterson et al. (1983) have fitted Cox's proportional hazard models to cancer mortality rates, to investigate circular asymmetry around the hypocenter in Hiroshima and Nagasaki. Gilbert and Ohara (1983) have analyzed data on acute symptoms. They divided the survivors in the Life Span Study (LSS) cohort, registered at the Radiation Effect Research Foundation (RERF), into eight groups according to the survivors' location at the time of atomic bomb exposure relative to the hypocenter and evaluated the relative risk of each octant compared with that for survivors in the octant of east-north-east direction. However, we consider their approach to be not enough to investigate circular asymmetry around the hypocenter, because they evaluated only relative risks for each octant with respect to the location at exposure relative to the hypocenter and did not consider heterogeneity of risk in each octant.

[1]  Hideshi Kawakami,et al.  Investigation on circular asymmetry of geographical distribution in cancer mortality of Hiroshima atomic bomb survivors based on risk maps: analysis of spatial survival data , 2012, Radiation and environmental biophysics.

[2]  K. Satoh,et al.  Estimation of Varying Coefficients for a Growth Curve Model , 2010 .

[3]  G. Kitagawa,et al.  Information Criteria and Statistical Modeling , 2007 .

[4]  D. L. Preston,et al.  Solid Cancer Incidence in Atomic Bomb Survivors: 1958–1998 , 2007, Radiation research.

[5]  Sachiyo Funamoto,et al.  Dose Estimation for Atomic Bomb Survivor Studies: Its Evolution and Present Status , 2006, Radiation research.

[6]  D. Pierce,et al.  Age-time patterns of cancer to be anticipated from exposure to general mutagens. , 2003, Biostatistics.

[7]  K. Satoh,et al.  Bridging the Gap Between B-Spline and Polynomial Regression Model , 2003 .

[8]  Megu Ohtaki,et al.  A Mathematical Model of Radiation Carcinogenesis with Induction of Genomic Instability and Cell Death , 2001, Radiation research.

[9]  D. Pierce,et al.  A model for radiation-related cancer suggested by atomic bomb survivor data. , 1999, Radiation research.

[10]  N. Kamada,et al.  Estimation of radiation doses for atomic-bomb survivors in the Hiroshima University Registry. , 1996, Health physics.

[11]  M. Kurihara,et al.  The age distribution of human adult cancer and an initiation-manifestation model for carcinogenesis. , 1985, Japanese journal of clinical oncology.

[12]  E. Gilbert,et al.  An analysis of various aspects of atomic bomb dose estimation at RERF using data on acute radiation symptoms. , 1984, Radiation research.

[13]  Hirokazu Yanagihara,et al.  Statistical Inference on a Varying Coefficient Surface Using Interaction Model for Spatial Data , 2010 .

[14]  K. Satoh,et al.  Statistical Inference on a Linear Varying Coefficient on Longitudinal Data of Discrete Distribution , 2009 .

[15]  George D. Kerr,et al.  Reassessment of the atomic bomb radiation dosimetry for Hiroshima and Nagasaki : dosimetry system 2002 : report of the joint US-Japan working group , 2005 .

[16]  M. Ohtaki,et al.  Analysis of cancer mortality among atomic bomb survivors registered at Hiroshima University. , 1997, International journal of radiation biology.

[17]  A. V. Peterson,et al.  Investigation of circular asymmetry in cancer mortality of Hiroshima and Nagasaki A-bomb survivors. , 1983, Radiation research.

[18]  David R. Cox,et al.  Regression models and life tables (with discussion , 1972 .