A Spatially Explicit Environmental Health Surveillance Framework for Tick-Borne Diseases

Avina, Aldo

doi:10.1007/978-94-007-0329-2_18

Cited by 2 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Knowledge gaps in our understanding of the epidemiology of LD in the Southern US exist [ 50 ]. A recent survey could not detect B. burgdorferi from I. scapularis ticks collected from deer in Tennessee [ 51 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Implications of climate change on the distribution of the tick vector Ixodes scapularis and risk for Lyme disease in the Texas-Mexico transboundary region

Feria-Arroyo¹,

Castro-Arellano

Gordillo-Pérez³

et al. 2014

Parasites Vectors

View full text Add to dashboard Cite

BackgroundDisease risk maps are important tools that help ascertain the likelihood of exposure to specific infectious agents. Understanding how climate change may affect the suitability of habitats for ticks will improve the accuracy of risk maps of tick-borne pathogen transmission in humans and domestic animal populations. Lyme disease (LD) is the most prevalent arthropod borne disease in the US and Europe. The bacterium Borrelia burgdorferi causes LD and it is transmitted to humans and other mammalian hosts through the bite of infected Ixodes ticks. LD risk maps in the transboundary region between the U.S. and Mexico are lacking. Moreover, none of the published studies that evaluated the effect of climate change in the spatial and temporal distribution of I. scapularis have focused on this region.MethodsThe area of study included Texas and a portion of northeast Mexico. This area is referred herein as the Texas-Mexico transboundary region. Tick samples were obtained from various vertebrate hosts in the region under study. Ticks identified as I. scapularis were processed to obtain DNA and to determine if they were infected with B. burgdorferi using PCR. A maximum entropy approach (MAXENT) was used to forecast the present and future (2050) distribution of B. burgdorferi-infected I. scapularis in the Texas-Mexico transboundary region by correlating geographic data with climatic variables.ResultsOf the 1235 tick samples collected, 109 were identified as I. scapularis. Infection with B. burgdorferi was detected in 45% of the I. scapularis ticks collected. The model presented here indicates a wide distribution for I. scapularis, with higher probability of occurrence along the Gulf of Mexico coast. Results of the modeling approach applied predict that habitat suitable for the distribution of I. scapularis in the Texas-Mexico transboundary region will remain relatively stable until 2050.ConclusionsThe Texas-Mexico transboundary region appears to be part of a continuum in the pathogenic landscape of LD. Forecasting based on climate trends provides a tool to adapt strategies in the near future to mitigate the impact of LD related to its distribution and risk for transmission to human populations in the Mexico-US transboundary region.

show abstract

Section: Introductionmentioning

confidence: 99%

“…These limitations might explain why the models utilized could not explain the variation in the distribution of the disease observed in low prevalence areas. Consequently, the drivers for variation in the distribution of LD cases observed in low prevalence areas remain to be identified [ 50 ].…”

Section: Introductionmentioning

confidence: 99%

Implications of climate change on the distribution of the tick vector Ixodes scapularis and risk for Lyme disease in the Texas-Mexico transboundary region

Feria-Arroyo¹,

Castro-Arellano

Gordillo-Pérez³

et al. 2014

Parasites Vectors

View full text Add to dashboard Cite

show abstract

Bibliography of Publications

Lindsey¹,

Mason²

2005

Ethnic Relations in Canada

View full text Add to dashboard Cite

The sampling error of estimated deviates, together with other illustrations of the properties and applications of the integrals and derivatives of the normal error function. Brit. Assn. Math. Tab., 1. xxvixxxv (3rd ed., xxviii-xxxvii, 1951). (With S. Bartlett). Pasteurised and raw milk. Nature, 127: 591-592. # 92A Principles of plot experimentation in relation to the statistical interpretation of the results.

show abstract

A Spatially Explicit Environmental Health Surveillance Framework for Tick-Borne Diseases

Cited by 2 publications

References 16 publications

Implications of climate change on the distribution of the tick vector Ixodes scapularis and risk for Lyme disease in the Texas-Mexico transboundary region

Implications of climate change on the distribution of the tick vector Ixodes scapularis and risk for Lyme disease in the Texas-Mexico transboundary region

Bibliography of Publications

Contact Info

Product

Resources

About