Summary The EUROCLUS project included information on residence at diagnosis for 13 351 cases of childhood leukaemia diagnosed in the period 1980-89 in defined geographical regions in 17 countries. A formal algorithm permits identification of small census areas as containing case excesses. The present analysis examines spatial-temporal patterns of the cases (n = 970) within these clustered areas. The objectives were, first, to compare these results with those from an analysis conducted for UK data for the period 1966-83, and, second, to extend them to consider infant leukaemias. A modification of the Knox test investigates, within the small areas, temporal overlap between cases in a subgroup of interest at a putative critical time and all other cases at any time between birth and diagnosis. Critical times were specified in advance as follows: for cases of acute lymphoblastic leukaemia aged 2-4 years, the 18-month period preceding diagnosis; for cases of total leukaemia aged 5-14 years, 1 year before to 1 year after birth; and for infant cases (diagnosed < 1 year), 1 year before to 6 months after birth. Each of the analyses found evidence of excess space-time overlap compared with that expected; these were 10% (P = 0.005), 15% (P = 0.0002) and 26% (P = 0.03) respectively. The results are interpreted in terms of an infectious origin of childhood leukaemia.Keywords: infection; childhood leukaemia; acute lymphoblastic leukaemia; delayed exposure; infant leukaemia; in utero exposure; cluster Leukaemia is the most frequent childhood malignancy (Parkin et al, 1988), but the cause of the majority of cases remains unknown (Doll, 1989). Reports of clusters of leukaemia, usually involving children, have been frequent throughout this century (Alexander, 1993), but their aetiological significance remains obscure. The EUROCLUS project was established to investigate the geographical pattern of the disease using specialist registry data from a wide spectrum of European countries, and also from Queensland, Australia. The primary objective was to determine whether the disease showed a general tendency to cluster within small areas. The results (Alexander et al, 1998) show statistically significant evidence of clustering, although the magnitude is small. The only previous investigation of spatial clustering of childhood leukaemia (CL) in a large dataset was conducted in the UK (Draper, 1990 (1993) and Kinlen (1995). A second objective of EUROCLUS was to test these hypotheses and make comparisons with the results of the UK analysis (Alexander, 1992). Specific subgroups of interest are (a) cases of acute lymphoblastic leukaemia (ALL) in the childhood peak, and (b) cases of CL aged 5-14 years. Critical times, specified in advance are for (a) the 18-month period preceding diagnosis, and for (b), 1 year before to 1 year after birth.A third subgroup of interest that had not been included in the UK analysis is infant leukaemia (diagnosed < 1 year or < 18 months), which has recently emerged as an interesting biological entity as a large...