Oswaldo Cruz Foundation, Center for Technological Development in Health (Fiocruz / CDTS), Rio de Janeiro, Rio de Janeiro, Brazil.
Department of Applied Geology, Center for Disaster Study and Research (UERJ/CEPEDES), University of Rio de Janeiro State, Rio de Janeiro, Rio de Janeiro, Brazil.
PLoS One. 2022 Jul 6;17(7):e0270837. doi: 10.1371/journal.pone.0270837. eCollection 2022.
Spotted fever rickettsiosis is a zoonosis transmitted by ticks, having a varied clinical course that can lead to death if not managed properly. In Brazil it is more commonly observed in the Southeast, being an emerging public health problem. Hazard mapping models are common in different areas of knowledge, including public health, as a way of inferring reality and seeking to reduce or prevent damage. The aim of this study is to offer a spatial heuristic methodology for assessing the potential risk of transmission of spotted fever in the Rio de Janeiro state, located in the southeastern region of Brazil. For this, we used geospatial tools associated with eco-epidemiological data related to the clinical profile of the disease. The results achieved were substantially encouraging, considering that there are territories with greater or lesser expectation of risk for spotted fever in the study area. We observed that there are important distinctions between the two rickettsiosis scenarios in the same geographic space and that the areas where there is a greater potential risk of contracting rickettsiosis coincide with the administrative regions that concentrated the cases of hospitalization and deaths from the disease, concluding that the scenery found are relevant to the case series for the disease and that the planning of surveillance actions can gain in quality if the use of this spatial analysis tool is incorporated into the routine of local health management.
斑点热立克次体病是一种由蜱传播的人畜共患病，其临床病程多样，如果处理不当，可能导致死亡。在巴西，它更常见于东南部，是一个新出现的公共卫生问题。危险测绘模型在不同的知识领域都很常见，包括公共卫生领域，这是一种推断现实和寻求减少或预防损害的方法。本研究旨在为评估巴西东南部里约热内卢州斑点热传播的潜在风险提供一种空间启发式方法。为此，我们使用了与与疾病临床特征相关的生态流行病学数据相关的地理空间工具。考虑到研究区域内存在更多或更少的斑点热风险预期的领土，所取得的结果是非常令人鼓舞的。我们观察到，在同一地理空间中存在两种立克次体病情况的重要区别，而且存在更大感染立克次体病风险的地区与集中了该病住院和死亡病例的行政区相吻合，这表明发现的情况与该病的病例系列相关，如果将这种空间分析工具纳入当地卫生管理的常规，监测行动的规划质量将得到提高。
