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

2021 ◽  
Vol 65 (2) ◽  
pp. 303-314
Author(s):  
Kurtis E. Sobkowich ◽  
Olaf Berke ◽  
Theresa Bernardo ◽  
David Pearl ◽  
Paul Kozak
Keyword(s):  
Population Density ◽  
Honey Bees ◽  
Disease Transmission ◽  
Disease Modeling ◽  
Absolute Risk ◽  
Knowledge Mobilization ◽  
Colony Density ◽  
Macro Scale ◽  
Density Values ◽  
Density Map

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.

Classification Method of Population Density Map Based on Lorenz Curve

2010 ◽  
Vol 11 (6) ◽  
pp. 833-838 ◽  
Author(s):  
Jiafu HAN ◽  
Hongsheng LI ◽  
Zhong ZHANG
Keyword(s):  
Population Density ◽  
Lorenz Curve ◽  
Classification Method ◽  
Density Map

scholarly journals Mapping current and future European public water withdrawals and consumption

2014 ◽  
Vol 18 (2) ◽  
pp. 407-416 ◽  
Author(s):  
I. Vandecasteele ◽  
A. Bianchi ◽  
F. Batista e Silva ◽  
C. Lavalle ◽  
O. Batelaan
Keyword(s):  
Population Density ◽  
Temporal Trends ◽  
Absolute Error ◽  
Reference Scenario ◽  
Total Water ◽  
Country Level ◽  
European Public ◽  
Density Map ◽  
Per Capita ◽  
Water Withdrawals

Abstract. In Europe, public water withdrawals make up on average 30% and in some cases up to 60% of total water withdrawals. These withdrawals are becoming increasingly important with growing population density; hence there is a need to understand the spatial and temporal trends involved. Pan-European public/municipal water withdrawals and consumption were mapped for 2006 and forecasted for 2030. Population and tourism density were assumed to be the main driving factors for withdrawals. Country-level statistics on public water withdrawals were disaggregated to a combined population and tourism density map (the "user" density map) computed for 2006. The methodology was validated using actual regional withdrawal statistics from France for 2006. The total absolute error (TAE) calculated was proven to be reduced by taking into account the tourism density in addition to the population density. In order to forecast the map to 2030 we considered a reference scenario where per capita withdrawals were kept constant in time. Although there are large variations from region to region, this resulted in a European average increase of water withdrawals of 16%. If we extrapolate the average reduction in per capita withdrawals seen between 2000 and 2008, we forecast a reduction in average total water withdrawals of 4%. Considering a scenario where all countries converge to an optimal water use efficiency, we see an average decrease of 28%.

Relationship between water quality and macro-scale parameters (land use, erosion, geology, and population density) in the Siminehrood River Basin

2018 ◽  
Vol 639 ◽  
pp. 1588-1600 ◽  
Author(s):  
Farshid Bostanmaneshrad ◽  
Sadegh Partani ◽  
Roohollah Noori ◽  
Hans-Peter Nachtnebel ◽  
Ronny Berndtsson ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Population Density ◽  
River Basin ◽  
Scale Parameters ◽  
Macro Scale

GIS Based Spatialization of Population Data in Meijiang River Basin

2013 ◽  
Vol 295-298 ◽  
pp. 2378-2383 ◽  
Author(s):  
Xiang Gui Zeng ◽  
Ge Ying Lai ◽  
Fa Zhao Yi ◽  
Ling Ling Zhang
Keyword(s):  
Land Use ◽  
Population Density ◽  
River Basin ◽  
Population Distribution ◽  
Population Data ◽  
Fusion Technology ◽  
Processing Technologies ◽  
Source Data ◽  
Density Map ◽  
Main Factors

This paper used GIS spatial analysis and data processing technologies and multi-source data fusion technology to spatialize the population data of Meijiang river basin. Land use was selected as the index factor and the settlements as the indicative factor. Selected terrain, roads and rivers were the main influencing factors and were further classified into several sub-factors. During the simulation, we first calculated the weight indexes of sub-factors on the settlements distribution and then fused the indexes to calculate the weight indexes of the main factors. Second we calculated the weight indexes of settlements on the population distribution. Last we fused the weight indexes of the main factors and the weight indexes of settlements to obtain the population density indexes of whole region and then generated the 100m×100m resolution raster population density map.

Multiple warren use by subadult wild rabbits, Oryctolagus cuniculus, and its implications for disease transmission

2017 ◽  
Vol 44 (7) ◽  
pp. 582 ◽  
Author(s):  
Scott Jennings ◽  
Gregory Mutze
Keyword(s):  
Population Density ◽  
Breeding Season ◽  
Disease Transmission ◽  
Critical Role ◽  
Late Summer ◽  
Adult Size ◽  
Contact Rates ◽  
Rabbit Haemorrhagic Disease ◽  
European Rabbits ◽  
Haemorrhagic Disease

Context Contact rates are a key determinant of disease transmission. Territorial behaviour has generally been considered to limit contact between European rabbits occupying different warrens, particularly during the breeding season. Aims We investigated warren use by subadult rabbits during a period of low population density to determine their potential role in transmission of rabbit haemorrhagic disease and myxomatosis. Methods Subadult rabbits were radio-collared in late summer and relocated twice-weekly for 25 weeks, during which time they grew to adult size and breeding commenced. Key results Rabbits of both sexes used an average of four warrens each on a regular basis, even after older rabbits had commenced breeding. Warrens used by individual rabbits formed a continuously overlapping, irregular array. Subadult rabbits did not belong to separate social groups that utilised separate groups of warrens. Conclusions Subadult or young adult rabbits did not display the same territorial warren fidelity that had been previously described for rabbits. They have potential to carry pathogens between warrens at a landscape scale. Implications Movement of subadult rabbits between warrens is therefore likely to play a critical role in disease transmission, particularly when population density is low. This may help to explain the prevalent seasonality of RHD epizootics in spring when first-born litters of each breeding season typically reach that size.

A Population Density Map of European Russia

1926 ◽  
Vol 16 (2) ◽  
pp. 341 ◽  
Author(s):  
Sten de Geer ◽  
Benjamin Semenov-Tian-Shansky
Keyword(s):  
Population Density ◽  
European Russia ◽  
Density Map

scholarly journals Analisis Spasial Kejadian DBD di Wilayah Kerja Puskesmas Oesapa Tahun 2019

2019 ◽  
Vol 1 (4) ◽  
pp. 150-156
Author(s):  
Yohanes A. W. Ximenes ◽  
Imelda F. E. Manurung ◽  
Yuliana R. Riwu
Keyword(s):  
Spatial Analysis ◽  
Population Density ◽  
Health Center ◽  
Disease Transmission ◽  
Intervention Program ◽  
Disease Spread ◽  
Risk Area ◽  
Dengue Disease ◽  
Dengue Transmission ◽  
Work Area

 Oesapa Health Center is a health center that has the highest number of dengue cases in Kupang City in 2019 and spread throughout the Puskesmas working area. Regional-based disease management analysis techniques using spatial analysis can be used to facilitate the determination of the DHF problem solving intervention program. Spatial analysis is used to determine the pattern of disease spread and potential areas of dengue transmission based on area. The purpose of this study was to determine the pattern of dengue delivery, the spread of dengue incidence based on population density, the House Index and Container Index and the buffer. This type of research is a descriptive survey with a case study design. The sampling technique used total sampling with 98 people. The results of spatial analysis using Quantum GIS show the distribution pattern of dengue incidence with Clustered pattern with NNI value of 0,60 <1, the entire work area of Oesapa Health Center is included in the category of high population density, House Index and Container Index with the highest incidence of DHF in Oesapa and Lasiana Subdistrict and buffer analysis shows the tendency of dengue disease transmission in most cases to occur within a 100 meter radius, so the Oesapa Community Health Center work area is a high risk area for dengue transmission. Mosquito Nest Eradication Activities can be carried out by the community to prevent the spread of dengue disease.

PP121 How To Involve Patients In Decisions About Antibiotic Prophylaxis After Tick Bite

2019 ◽  
Vol 35 (S1) ◽  
pp. 59-59
Author(s):  
Sylvie Bouchard ◽  
Gaelle Gernigon ◽  
Fatiha Karam ◽  
Jean-Marc Daigle ◽  
Genevieve Morrow ◽  
...  
Keyword(s):  
Single Dose ◽  
Lyme Disease ◽  
Antibiotic Prophylaxis ◽  
Absolute Risk ◽  
Absolute Risk Reduction ◽  
Tick Bite ◽  
Knowledge Mobilization ◽  
Level Of Evidence ◽  
The Real ◽  
Real Risk

IntroductionAntibiotic prophylaxis with a single dose of doxycycline after a tick bite is one of the tools for preventing Lyme disease, which is becoming increasingly prevalent in Quebec. The aim of this work was to revisit this practice in adults and children younger than 8 years of age.MethodsTo assess the safety and absolute risk reduction (ARR) of doxycycline for preventing Lyme disease in contraindicated populations, two systematic reviews were conducted with a re-analysis of the original efficacy data. A knowledge mobilization framework was used to consider the scientific, contextual, and experiential evidence, taking into account information on patients’ and clinicians’ experiences.ResultsA single dose of doxycycline prescribed within 72 hours of being bitten by a tick (Ixodes scapularis) could prevent cutaneous manifestation of Lyme disease (ARR -2.8%, 95% confidence interval: -11.7–6.1; p = 0.06), without serious side effects, provided that the bite occurred in a geographical region where at least 25 percent of nymph and 50 percent of adult ticks are infected with the disease. However, the level of evidence was low and its generalizability to other contexts was doubtful. The decision to prescribe antibiotic prophylaxis may be based more on the fear of Lyme disease, rather than on effectiveness data and the real risk of contracting Lyme disease.ConclusionsIt may be challenging for clinicians to discuss Lyme disease prophylaxis with patients and their families in contexts where people are fearful of the disease, and the risk of contracting it from a tick bite is uncertain. Decision aids that provide scientific evidence on the real risk of developing Lyme disease after a tick bite, particularly in Quebec, can promote informed decisions based on patient preferences and values by supporting discussion between clinicians and patients.

Sign in / Sign up

Export Citation Format

Share Document