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Research Summary Priorresearch has produced varied results regarding the impact of the coronavirus pandemic on crime rates, depending on the offenses and time periods under investigation. The current study of weekly offense rates in large U.S. cities is based on a longer time period, a greater number of offenses than prior research, and a varying number of cities for each offense (max = 28, min = 13, md = 20). We find that weekly property crime and drug offense rates, averaged across the cities, fell during the pandemic. An exception is motor vehicle theft, which trended upward after pandemic‐related population restrictions were instituted in March 2020. Robbery rates also declined immediately after the pandemic began. Average weekly homicide, aggravated assault, and gun assault rates did not exhibit statistically significant increases after March. Beginning in June 2020, however, significant increases in these offenses were detected, followed by declines in the late summer and fall. Fixed‐effects regression analyses disclose significant decreases in aggravated assault, robbery, and larceny rates associated with reduced residential mobility during the pandemic. These results support the routine activity hypothesis that the dispersion of activity away from households increases crime rates. The results for the other offenses are less supportive. Policy Implications Quarantines and lockdowns, although necessary to reduce contagious illness, are not desirable crime‐control devices. An object lesson of the coronavirus pandemic is to redouble effective crime reduction strategies and improve police–community relations without confining people to their homes.

An exhaustive revision of dosimetry data for 192Ir, 125I, 103Pd and 169Yb brachytherapy sources has been performed by means of the EGS4 simulation system. The DLC-136/PHOTX cross section library, water molecular form factors, bound Compton scattering and Doppler broadening of the Compton-scattered photon energy were considered in the calculations. The absorbed dose rate per unit contained activity in a medium at 1 cm in water and air-kerma strength per unit contained activity for each seed model were calculated, allowing the dose rate constant (DRC) A to be estimated. The influence of the calibration procedure on source strength for low-energy brachytherapy seeds is discussed. Conversion factors for 125I and 103Pd seeds to obtain the dose rate in liquid water from the dose rate measured in a solid water phantom with a detector calibrated for dose to water were calculated. A theoretical estimate of the DRC for a 103Pd model 200 seed equal to 0.669 +/- 0.002 cGy h(-1) U(-1) is obtained. Comparison of obtained DRCs with measured and calculated published results shows agreement within 1.5% for 192Ir, 169Yb and 125I sources.

Anisotropy functions for low energy interstitial brachytherapy sources are examined. Absolute dose rates around 103Pd seed model 200 and 125I seed models 6702 and 6711 have been estimated by means of the EGS4 Monte Carlo simulation system. The DLC-136/PHOTX cross section library, water molecular form factors, bound Compton scattering and Doppler broadening of the Compton-scattered photon energy were considered in the calculations. Following the formalism developed by the Interstitial Brachytherapy Collaborative Working Group, anisotropy functions, F(r, theta), have been calculated. Our Monte Carlo results were compared against a limited set of measured data selected from the literature and other Monte Carlo results. Binding corrections and phantom material selection have been found to have no influence on the anisotropy function. The accuracy of the geometrical source models used for the Monte Carlo calculations was validated against experimental measurements of in-air relative fluence at 100 cm from the source. More detailed knowledge about the geometrical design of 103Pd seed model 200 is needed in order to improve the agreement with experimentally measured in-air fluence. Values for in-air fluence of 125I model 6702 are sensitive to source position within the inner seed cylinder. Excellent agreement between calculated and measured in-air fluence is found for 125I model 6711. It was observed that using in-air relative fluence at 100 cm from the source to calculate the anisotropy function yields a less anisotropic dose distribution at distances close to the source than full Monte Carlo simulation, in contradiction with experimental data. Our results have estimated statistical uncertainties of 1%-3% at the 1sigma level within clinically relevant regions, but contain systematic uncertainties related to the assumed geometrical details.

Radial dose functions g(r) in water around 103Pd, 125I, 169Yb and 192Ir brachytherapy sources were estimated by means of the EGS4 simulation system and extensively compared with experimental as well as with theoretical results. The DLC-136/PHOTX cross section library, water molecular form factors, bound Compton scattering and Doppler broadening of the Compton-scattered photon energy were considered in the calculations. Use of the point source approach produces reasonably accurate values of the radial dose function only at distances beyond 0.5 cm for 103Pd sources. It is shown that binding corrections for Compton scattering have a negligible effect on radial dose function for 169Yb and 192Ir seeds and for 103Pd seeds under 5.0 cm from the source centre and for the 125I seed model 6702 under 8.0 cm. Beyond those limits there is an increasing influence of binding corrections on radial dose function for 103Pd and 125I sources. Results in solid water medium underestimate radial dose function for low-energy sources by as much as 6% for 103Pd and 2.5% for 125I already at 2 cm from source centre resulting in a direct underestimation of absolute dose rate values. It was found necessary to consider medium boundaries when comparing results for the radial dose function of 169Yb and 192Ir sources to avoid discrepancies due to the backscattering contribution in the phantom medium. Values of g(r) for all source types studied are presented. Uncertainties lie under 1% within one standard deviation.