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Table 1 Factors initially considered as potential contributors to canine prevalence of disease agents transmitted by Ixodes scapularis and I. pacificus

From: Quantitative factors proposed to influence the prevalence of canine tick-borne disease agents in the United States

Vector factors

 

Distribution

 

Abundance

 

% Infected

 

Canine contact

 

Local phenology

 

Tolerance to temperature and humidity

 

Activity

 

 Focus on adults as primary vector to dogs

 

 Host seeking behavior

 

 Host contact

 

 Feeding preferences and opportunities

 

  Deer population drives tick abundance

 

  Small mammal population drives infection prevalence

 

  Lack of lizards

 

  Diversity/dilution effect

 

 Tick encounters

 

 Questing behavior versus relative humidity

 

 Peridomestic encounters – access to areas

 

 Urbanization/Rate of development

 

Infection status (decreased survival versus increased cold tolerance)

Host factors

 

Presence and abundance (deer, small mammals, lizards)

 

 Dilution effect/host diversity

 

Habitat availability and quality

 

 Mast crop as a surrogate for host reproduction/fitness

 

Migratory bird patterns

 

Reproductive capacity and timing of vertebrate host reproduction

 

Population control programs in place locally

 

Abiotic host survival factors

 

 Temperature, water availability, substrate/nesting material, snow cover

 

Feeding preferences

 

Herd immunity of reservoir host populations

 

Hunting pressure/success

 

 Number of deer killed per county – harvest rates

 

 Hunting license versus hunting harvest – how active hunting is for that area

 

 Hunting limits due to development

Abiotic factors

 

Snow cover – depth, duration

 

Miles of roads – neighborhood roads (non-interstate/parkway/highway), trails

 

Soil type – clay versus sand in Northeastern USA

 

Hydrological features

 

I. scapularis

 

 Maximum temperature, warmest month

 

 Annual precipitation

 

I. pacificus

 

 Minimum temperature, coldest month

 

Daily temperature (high, low and average)

 

Relative humidity (average, high, low, duration)

Habitat factors

 

Land cover classification

 

 Urbanization in 3 categories – low, medium, high

 

 Rate of change

 

Forest cover

 

 Land cover classification (categorical), % canopy cover, NDVI, EVI (canopy structure)

 

 Crop phenology – maximum greening, minimum greening – when greening is happening

 

 Supervised vs unsupervised satellite imagery, derived data not currently off the shelf

 

 Forest type, forest fragmentation, forest edge length, forest composition, forest connectivity

 

 Forest fragments within X distance of road or urban area, close to population centers

 

Understory- could be modeled but is not measured

 

Detritus layers/leaf litter

 

 Targeted for future research but perhaps not currently available dataset

 

Soil maps/soil types

 

 World harmonized soil database

 

 Classification scheme

 

Proximity to rivers/drainage areas

 

Proximity to coast

 

Rain shadows

 

Rivers and streams

 

 Attract hosts

 

 Serve as corridors

 

 Provide humidity

 

Aspect/slope/topo index – derived from digital elevation models, available from hydro dataset

 

 More nymphal deer ticks on north- and east-facing slopes

 

 Effective distance – more ticks on uphill side of a payout

 

Ticks associated with east-facing woodland edges that slope down to water

 

Fire

 

 Eliminates leaf litter, changes food availability, changes microclimate

 

 Depending on timing, burn can increase number of infected ticks, so fewer ticks but higher infection rate

 

Park boundaries – proximity to parks

Social factors

 

Human population centers

 

Dog ownership, dog lifestyle

 

 Hunting styles that use dogs

 

 Breed of dog

 

Dog ownership increase – by region

 

More homes in tick habitat – demographic factors

 

Deer/vehicle collisions – deer crossing signs

 

Acaricide use/quality of care for dogs

 

Average household income

 

 Presence of clinics, proximity to clinics, number of vet clinics in an area, size of clinics

 

Cultural – forest foraging (mushroom hunting in Missouri)

 

Internet use

 

Social media

 

Smartphone use

 

Education level

 

Population density

 

 Housing type (average lot size, median home price, age of house unit, census tract size)