Spatio-temporal patterns of tick-borne disease diagnoses in Indiana, USA (2009–2018)

IF 2.4 2区农林科学 Q3 INFECTIOUS DISEASES

Zoonoses and Public Health Pub Date : 2024-03-27 DOI:10.1111/zph.13128

Oghenekaro Omodior, Kristina R. Anderson, Jordan Blekking, Kaukis Nicholas

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Abstract

Aims

Although tick-borne disease (TBD) incidence has increased in the United States (U.S.) in the past decade, new evidence suggests that notifiable diseases surveillance records may not accurately reflect the true magnitude of TBD diagnoses. Furthermore, while regional electronic health records (EHR) are readily accessible their potential use as a more stable and consistent source of TBD diagnoses data has remained largely unexplored.

Methods and Results

In this study, we used EHR from a database of more than 100 hospitals, healthcare networks, and insurance providers in Indiana, U.S., to better understand incidence, spatio-temporal and demographic distribution of TBD Diagnoses from 2009–2018. Our results revealed that in Indiana, from 2009 to 2018, there were 5173 unique TBD Diagnoses across three diagnoses categories: Lyme disease (72.5%, n = 3751), Rickettsioses (12.0%, n = 623) and Other TBD Diagnoses (15.4%, n = 799). Using EHR, the average yearly Lyme disease diagnoses was more than double the cases obtained using notifiable disease surveillance data for the same period. Patients with a TBD Diagnoses were generally older (ages 45–59) and less racially diverse (96.3% white). Rickettsiosis diagnoses were reported more among male patients (55.2%), while Lyme disease diagnoses were higher among female patients (57.1%). Temporal data illustrated higher frequencies of diagnoses from May to July. Hot spot analysis identified a Lyme disease hot spot in northwest Indiana, while hotspots of Rickettsiosis and Other TBD Diagnoses category were identified in southwest Indiana. Extrapolated to the Indiana population, chi-squared (χ²) tests of independence revealed that the observed distribution of TBD diagnoses in our data was significantly different from the expected distribution in the Indiana population-based race, gender and age groups.

Conclusions

Our study findings demonstrate that in Indiana, EHR provide a stable data source for elucidating TBD disease burden and for monitoring spatio-temporal trends in TBD diagnoses.

查看原文本刊更多论文

美国印第安纳州蜱传疾病诊断的时空模式（2009-2018 年）。

目的：尽管过去十年美国的蜱媒疾病（TBD）发病率有所上升，但新的证据表明，应呈报疾病的监测记录可能无法准确反映 TBD 诊断的真实规模。此外，虽然地区电子健康记录（EHR）很容易获取，但其作为更稳定、更一致的 TBD 诊断数据来源的潜力在很大程度上仍未得到开发：在这项研究中，我们使用了来自美国印第安纳州 100 多家医院、医疗保健网络和保险提供商数据库的电子病历，以更好地了解 2009-2018 年间 TBD 诊断的发病率、时空和人口分布情况。我们的结果显示，从 2009 年到 2018 年，印第安纳州共有 5173 例独特的 TBD 诊断，涉及三个诊断类别：莱姆病（72.5%，n = 3751）、立克次体病（12.0%，n = 623）和其他 TBD 诊断（15.4%，n = 799）。使用电子病历，莱姆病的年平均诊断病例数是同期使用应报疾病监测数据获得的病例数的两倍多。诊断为 TBD 的患者一般年龄较大（45-59 岁），种族差异较小（96.3% 为白人）。男性患者中立克次体病的诊断率较高（55.2%），而女性患者中莱姆病的诊断率较高（57.1%）。时间数据显示，5 月至 7 月的诊断频率较高。热点分析发现，莱姆病的热点在印第安纳州西北部，而立克次体病和其他 TBD 诊断类别的热点则在印第安纳州西南部。通过对印第安纳州人口进行独立的卡方（χ2）检验发现，我们的数据中观察到的TBD诊断分布与印第安纳州人口中基于种族、性别和年龄组的预期分布存在显著差异：我们的研究结果表明，在印第安纳州，电子病历为阐明结核病疾病负担和监测结核病诊断的时空趋势提供了稳定的数据来源。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Zoonoses and Public Health 医学-传染病学

CiteScore

5.30

自引率

4.20%

发文量

115

审稿时长

6-12 weeks

期刊介绍： Zoonoses and Public Health brings together veterinary and human health researchers and policy-makers by providing a venue for publishing integrated and global approaches to zoonoses and public health. The Editors will consider papers that focus on timely collaborative and multi-disciplinary research in zoonoses and public health. This journal provides rapid publication of original papers, reviews, and potential discussion papers embracing this collaborative spirit. Papers should advance the scientific knowledge of the sources, transmission, prevention and control of zoonoses and be authored by scientists with expertise in areas such as microbiology, virology, parasitology and epidemiology. Articles that incorporate recent data into new methods, applications, or approaches (e.g. statistical modeling) which enhance public health are strongly encouraged.