Spatial and Temporal Emergence Pattern of Lyme Disease in Virginia

Li, Jie; Kolivras, Korine N.; Hong, Yili; Duan, Yuan-Yuan; Seukep, Sara E.; Prisley, Stephen P.; Campbell, James B.; Gaines, David N.

doi:10.4269/ajtmh.13-0733

Cited by 26 publications

(24 citation statements)

References 29 publications

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“…Virginia has recently experienced a rapid expansion of Lyme disease with a quintupling of cases from 2004 to 2011 (Figure 1), and a spread in case distribution from the densely populated northern part of the state toward the more rural southwestern corner, as illustrated in Figure 2 Correspondence to: Sara E. Seukep, e-mail: sdymond@vt.edu EcoHealth DOI: 10.1007DOI: 10. /s10393-015-1034 Original Contribution Ó 2015 International Association for Ecology and Health Kelly et al 2014;Li et al 2014). Using Virginia as a model for examining the continued emergence of Lyme disease, we seek to identify potential contributing factors for its emergence in underlying human and ecological variables.…”

Section: Introductionmentioning

confidence: 99%

An Examination of the Demographic and Environmental Variables Correlated with Lyme Disease Emergence in Virginia

et al. 2015

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Lyme disease is the United States' most significant vector-borne illness. Virginia, on the southern edge of the disease's currently expanding range, has experienced an increase in Lyme disease both spatially and temporally, with steadily increasing rates over the past decade and disease spread from the northern to the southwestern part of the state. This study used a Geographic Information System and a spatial Poisson regression model to examine correlations between demographic and land cover variables, and human Lyme disease from 2006 to 2010 in Virginia. Analysis indicated that herbaceous land cover is positively correlated with Lyme disease incidence rates. Areas with greater interspersion between herbaceous and forested land were also positively correlated with incidence rates. In addition, income and age were positively correlated with incidence rates. Levels of development, interspersion of herbaceous and developed land, and population density were negatively correlated with incidence rates. Abundance of forest fragments less than 2 hectares in area was not significantly correlated. Our results support some findings of previous studies on ecological variables and Lyme disease in endemic areas, but other results have not been found in previous studies, highlighting the potential contribution of new variables as Lyme disease continues to emerge southward.

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Section: Introductionmentioning

confidence: 99%

An Examination of the Demographic and Environmental Variables Correlated with Lyme Disease Emergence in Virginia

et al. 2015

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“…Duczma [ 68 ] implemented the scan statistic to study Chagas’ disease in Brazil, while [ 69 ] do the same for end-stage renal disease (ESRD) in northen France. In Virginia, the increasing burden of Lyme disease was documented using spatiotemporal scan statistics [ 70 ]. In all cases, studies were able to identify areas with more cases than expected, highlighting in many cases the relevance of regions that did not present a comparatively higher incidence.…”

Section: Introductionmentioning

confidence: 99%

Malaria intensity in Colombia by regions and populations

et al. 2018

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Determining the distribution of disease prevalence among heterogeneous populations at the national scale is fundamental for epidemiology and public health. Here, we use a combination of methods (spatial scan statistic, topological data analysis and epidemic profile) to study measurable differences in malaria intensity by regions and populations of Colombia. This study explores three main questions: What are the regions of Colombia where malaria is epidemic? What are the regions and populations in Colombia where malaria is endemic? What associations exist between epidemic outbreaks between regions in Colombia? Plasmodium falciparum is most prevalent in the Pacific Coast, some regions of the Amazon Basin, and some regions of the Magdalena Basin. Plasmodium vivax is the most prevalent parasite in Colombia, particularly in the Northern Amazon Basin, the Caribbean, and municipalities of Sucre, Antioquia and Cordoba. We find an acute peak of malarial infection at 25 years of age. Indigenous and Afrocolombian populations experience endemic malaria (with household transmission). We find that Plasmodium vivax decreased in the most important hotspots, often with moderate urbanization rate, and was re-introduced to locations with moderate but sustained deforestation. Infection by Plasmodium falciparum, on the other hand, steadily increased in incidence in locations where it was introduced in the 2009-2010 generalized epidemic. Our findings suggest that Colombia is entering an unstable transmission state, where rapid decreases in one location of the country are interconnected with rapid increases in other parts of the country.

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“…There is no standardized approach that considers where and when vector surveillance should be done. Li et al applied space and space–time scan statistics to reveal the spatial and spatio-temporal clusters of LD [ 48 ]. They used finer scale census tract level count data of LD human cases in Virginia from 1998 to 2011.…”

Section: Resultsmentioning

confidence: 99%

“…Rural landscapes are associated with higher incidence [ 52 ]. Areas with education and surveillance needs are the ones with the highest LD risk [ 48 ].…”

Section: Discussionmentioning

confidence: 99%

GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology

Ozdenerol

2015

IJERPH

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Given the relatively recent recognition of Lyme disease (LD) by CDC in 1990 as a nationally notifiable infectious condition, the rise of reported human cases every year argues for a better understanding of its geographic scope. The aim of this inquiry was to explore research conducted on spatiotemporal patterns of Lyme disease in order to identify strategies for implementing vector and reservoir-targeted interventions. The focus of this review is on the use of GIS-based methods to study populations of the reservoir hosts, vectors and humans in addition to the spatiotemporal interactions between these populations. New GIS-based studies are monitoring occurrence at the macro-level, and helping pinpoint areas of occurrence at the micro-level, where spread within populations of reservoir hosts, clusters of infected ticks and tick to human transmission may be better understood.

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Spatial and Temporal Emergence Pattern of Lyme Disease in Virginia

Cited by 26 publications

References 29 publications

An Examination of the Demographic and Environmental Variables Correlated with Lyme Disease Emergence in Virginia

An Examination of the Demographic and Environmental Variables Correlated with Lyme Disease Emergence in Virginia

Malaria intensity in Colombia by regions and populations

GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology

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