Evidence of population mixing based on the geographical distribution of XXXX in Ohio.

@entity1 @entity981 @entity9020 @entity3052 @entity1778 @entity1860
BACKGROUND: This ecologic study examined the geographic distribution of @entity1778 in Ohio, 1996-2000, among @entity1 aged 0-19 for evidence that population mixing may be a factor. PROCEDURE: (1) State incidence rates were compared to Surveillance, Epidemiology and End Results (SEER) rates for each year and for the 5-year period, 1996-2000; (2) incidence rates for each of Ohio's 88 counties were compared to statewide rates; and (3) county incidence rates were compared based on population density, population growth, and rural/urban locale. SEER*Stat version 5.0 was used to derive age-specific and 0-19 age-adjusted rates. Expected values, standardized incidence ratios (SIRs), and Poisson P-values were calculated with Excel using the indirect method of standardization. RESULTS: Of the 585 cases, 73.3% were @entity981 ( @entity981 ), 16.6% @entity3052 ( @entity3052 ), 3.2% @entity9020 ( @entity9020 ), and 2.6% @entity1860 ( @entity1860 ). Rates for @entity1778 burden were significantly below national levels for all races (P = 0.00001), likely due to poor ascertainment of cases. Yearly incidence rates for 1996-2000 were stable for @entity981 and @entity3052 ; @entity1860 rates declined over the period. Based on 2000 Census and intercensal population estimates for 1996-2000, statistically higher rates for @entity981 were noted for counties experiencing >10% population change 1990-2000 (P < 0.05), especially for ages 1-4 (P < 0.03) in counties with 10-20% growth. Counties 67.9-99.2% urban experienced fewer than expected cases of @entity3052 + @entity9020 (P < 0.06). CONCLUSION: Data support Kinlen's theory of population mixing and warrant further studies in Ohio, the US and other countries.
