A Space-Time Permutation Scan Statistic for Evaluating County-Level Tickborne Disease Clusters in Indiana, 2009-2016-Reference-Cited by-同舟云学术

A Space-Time Permutation Scan Statistic for Evaluating County-Level Tickborne Disease Clusters in Indiana, 2009-2016

Published:2021-02-01 Issue:1 Volume:19 Page:108-115
ISSN:2326-5094
Container-title:Health Security
language:en
Short-container-title:Health Security

Author:

Omodior Oghenekaro¹

Affiliation:

1. Oghenekaro Omodior, PhD, is an Assistant Professor, School of Public Health, Indiana University, Bloomington, IN.

Publisher

Mary Ann Liebert Inc

Subject

Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Public Health, Environmental and Occupational Health,Safety Research,Emergency Medicine,Health(social science)

Link

https://www.liebertpub.com/doi/pdf/10.1089/hs.2019.0159

Reference18 articles.

1. Geographic Distribution and Expansion of Human Lyme Disease, United States

2. Spatial Clustering by Disease Severity among Reported Rocky Mountain Spotted Fever Cases in the United States, 2001–2005

3. Spatial Clusters and Non-spatial Predictors of Tick-Borne Disease Diagnosis in Indiana

4. Infection and Co-infection Rates of Anaplasma phagocytophilum Variants, Babesia spp., Borrelia burgdorferi, and the Rickettsial Endosymbiont in Ixodes scapularis (Acari: Ixodidae) from Sites in Indiana, Maine, Pennsylvania, and Wisconsin

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1. Spatio‐temporal patterns of tick‐borne disease diagnoses in Indiana, USA (2009–2018);Zoonoses and Public Health;2024-03-27

2. Space-time permutation statistics application to detect cloud-to-ground lightning prone area (Case study: Pasuruan, Indonesia);ITM Web of Conferences;2024