In the South region of the United States, HIV is disproportionately high and levels of pre-exposure prophylaxis (PrEP) use, which is highly effective in reducing the risk of acquiring HIV, are among the lowest across the country. Simultaneously examining the geographical distributions of both new HIV diagnoses and PrEP use as well as how they evolve over time at the county level is valuable for developing locally tailored intervention programs to target areas most in need of help. There is scant research on this topic using publicly accessible data sets, however, partly because of statistical challenges in modeling censored spatiotemporal data. This study fills this gap by applying a Bayesian spatiotemporal model to analyze interval-censored new HIV diagnoses and left-censored PrEP user data sets in Mississippi at the county level between 2014 and 2018. Suppressed values were modeled with Poisson distributions restricted to ranges where the possible values lie within. A simulation study indicates that the proposed model performs well in estimating censored values and regression coefficients as well as detecting hot spots. At the state level, new HIV diagnoses had a stable trend and PrEP use sharply increased during the study period. DeSoto and Hinds counties warrant special attention because their trends in new HIV diagnoses departed from the state-level trend. We demonstrate that publicly accessible, censored new HIV diagnosis and PrEP user data could be analyzed in ways that yield robust results, which can help health departments and other stakeholders more confidently identify areas that should be prioritized for aggressive HIV prevention.

在美国南部地区，艾滋病病毒感染率高得不成比例，暴露前预防 (PrEP) 的使用水平在全国范围内处于最低水平，这种药物在降低感染艾滋病病毒的风险方面非常有效。同时检查新的 HIV 诊断和 PrEP 使用的地理分布，以及它们在县一级如何随着时间的推移而演变，对于针对最需要帮助的地区制定针对当地的量身定制的干预计划很有价值。然而，使用可公开访问的数据集对此主题的研究很少，部分原因是在对审查时空数据建模时存在统计挑战。本研究通过应用贝叶斯时空模型来分析 2014 年至 2018 年间密西西比州县级区间删失的新 HIV 诊断和左删失的 PrEP 用户数据集，从而填补了这一空白。抑制值采用泊松分布建模，仅限于可能的值在其中。仿真研究表明，所提出的模型在估计截尾值和回归系数以及检测热点方面表现良好。在州一级，新的 HIV 诊断有一个稳定的趋势，并且在研究期间 PrEP 的使用急剧增加。DeSoto 和 Hinds 县值得特别关注，因为它们的新 HIV 诊断趋势与州级趋势不同。我们证明可公开访问，