<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Host population density as a risk factor for infectious disease transmission is an established concept in both host-parasite ecology and epidemiological disease modeling. A ‘population-at-risk’ value is a necessary denominator in epidemiological analyses to estimate absolute risk. However, local colony density values have been missing from published literature for Ontario, Canada, and crude density measures for the province do not consider the highly heterogeneous concentration of colonies in Southern Ontario. With geostatistical kriging methods, a continuous colony density map was developed from regionally aggregated apiary registration data. This study highlights the potential implications of colony population density on a macro scale and illustrates methodologies available to produce continuous density estimates over a given region with Ontario as an example. The estimation and mapping of continuous colony density values across the population provides future work with a source of data to further investigate potential associations of colony density and disease and helps to inform inspection and surveillance efforts. An interactive regional colony density map was also developed as a knowledge mobilization tool to increase the accessibility of these findings to members of the beekeeping community. The results of this study are an important practical step in advancing epidemiological research on managed honey bees and may lead to further development of strategies to improve the health of honey bees.</p></abstract>

Host population density as a risk factor for infectious disease transmission is an established concept in both host-parasite ecology and epidemiological disease modeling. A ‘population-at-risk’ value is a necessary denominator in epidemiological analyses to estimate absolute risk. However, local colony density values have been missing from published literature for Ontario, Canada, and crude density measures for the province do not consider the highly heterogeneous concentration of colonies in Southern Ontario. With geostatistical kriging methods, a continuous colony density map was developed from regionally aggregated apiary registration data. This study highlights the potential implications of colony population density on a macro scale and illustrates methodologies available to produce continuous density estimates over a given region with Ontario as an example. The estimation and mapping of continuous colony density values across the population provides future work with a source of data to further investigate potential associations of colony density and disease and helps to inform inspection and surveillance efforts. An interactive regional colony density map was also developed as a knowledge mobilization tool to increase the accessibility of these findings to members of the beekeeping community. The results of this study are an important practical step in advancing epidemiological research on managed honey bees and may lead to further development of strategies to improve the health of honey bees.

Mapping the Population Density of Managed Honey Bee (<italic>Apis Mellifera</italic>) Colonies in Ontario, Canada: 2018

Ontario Ministry of Agriculture, Food and Rural Affairs

Journal of Apicultural Science

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mapping the Population Density of Managed Honey Bee () Colonies in Ontario, Canada: 2018

Host population density as a risk factor for infectious disease transmission is an established concept in both host-parasite ecology and epidemiological...

	β₀	Nugget Variance (τ2)	Partial Sill (σ2)	Range (ϕ) (km)
		Ontario
Spherical	0.3	0.049	0.2	360
		Southern Ontario
Spherical	0.571	0.054	0.176	191

Mapping the Population Density of Managed Honey Bee (Apis Mellifera) Colonies in Ontario, Canada: 2018

Article Category: Original Article

Pubblicato online: 28 dic 2021

Pagine: 303 - 314

Ricevuto: 24 mar 2021

Accettato: 05 ott 2021

DOI: https://doi.org/10.2478/jas-2021-0023

Parole chiave
geostatistical kriging, population density

© 2021 Kurtis E. Sobkowich et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Spherical variogram model parameters for Ontario and Southern Ontario honey bee colony density data

Mapping the Population Density of Managed Honey Bee (Apis Mellifera) Colonies in Ontario, Canada: 2018

Article Category: Original Article

Pubblicato online: 28 dic 2021

Pagine: 303 - 314

Ricevuto: 24 mar 2021

Accettato: 05 ott 2021

DOI: https://doi.org/10.2478/jas-2021-0023

Parole chiavegeostatistical kriging, population density

© 2021 Kurtis E. Sobkowich et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Spherical variogram model parameters for Ontario and Southern Ontario honey bee colony density data

Parole chiave
geostatistical kriging, population density