| Literature DB >> 34897482 |
Bjørn Arne Rukke1, Espen Roligheten2, Anders Aak1.
Abstract
The prevalence of bed bugs (Cimex lectularius L.) is increasing worldwide. Due to this increase, low-income housing owners and managers need an efficient method for controlling the pests without excessive resource use. The quality of pest control efforts is crucial for efficient eradication. Infestations often need to be approached using a variety of strategies through an integrated pest management (IPM) framework. Efficient eradication is often thought to be the responsibility of the pest control contractor alone. However, the purchase and supply management theory suggests that optimal solutions actually involve sound buyer-supplier relations to support the strategic aim of pest eradication. This study illustrates the positive outcomes of elevating pest management competence on the buyer's part. Further, this study outlines a large-scale purchase situation that quantifies bed bug control efforts, in addition to their outcomes. In total, 11,000 apartment units were observed in Oslo, Norway, over a period of six years. The release and implementation of a procurement officer together with a state-of-the-art pest management framework agreement quickly reversed the consistent escalation of bed bug infestations in the observed units. Observations revealed that the study yielded the most success in eradicating bed bugs by increasing both the number of visits to the infested apartment and the overall duration of control efforts. The improved control was achieved at a reduced cost per infested apartment unit, which allowed for the implementation of bed bug preventive measures and building-wide inspections. The observations made in this study have been discussed in the context of the impact of bed bugs in low-income communities, relative to the factors of pest burden, demography, socioeconomics, and the welfare system in Norway.Entities:
Keywords: buyer–supplier relation; cost–benefit; integrated pest management; purchase strategy; social impact
Mesh:
Year: 2022 PMID: 34897482 PMCID: PMC8827316 DOI: 10.1093/jee/toab233
Source DB: PubMed Journal: J Econ Entomol ISSN: 0022-0493 Impact factor: 2.381
Fig. 1.City districts and city district categories in Oslo. The range of apartments managed by Boligbygg Oslo Kommunalt Foretak in each city district for 2015–2019 is shown in brackets.
Fig. 2.Bed bug infestation levels, control effects, and control costs (in 1,000 NOK) of bed bug management in Boligbygg Oslo Kommunalt Foretak apartments in different pest management regimes for 2013–2019. The following information is presented in the table insert: Pest management regime (p.o. = procurement officer; fr. agre. = framework agreement), Apartments infested, Response time, Number of visits, Duration of remediation, Success rate, Total cost, and Preventive expenses (in 1,000 NOK), and below the figure: Cost per apartment and Cost per visit. Owing to a lack of information in Boligbygg Oslo Kommunalt Foretak databases, some variables do not have data from 2013 and 2014 (marked N.A.) or data from a subset of bed bug assignments in 2015. Different letters in a variable indicate significant differences between years (Dunn's method, P < 0.05), except in Success rate (percentage of treated apartments without a relapse of infestation), where the odds ratios indicate significant differences between 2015 and following years.
Average proportion of housing units infested with urban insect pests in Norway and in Boligbygg Oslo KF between 2016 and 2019
| Pest | National (%) | BBY (%) | Cost for BBY (1000 NOK) |
|---|---|---|---|
| Bed bugs | 21.2 ± 1.6 | 79.2 ± 0.8 | 21.2 ± 0.3 |
| Black garden ants | 27.5 ± 3.7 | 4.5 ± 0.8 | 1.6 ± 0.1 |
| Long-tailed silverfish | 20.0 ± 8.0 | 1.6 ± 0.9 | 3.0 ± 0.3 |
| Wasps | 10.7 ± 1.3 | 1.3 ± 0.5 | 1.6 ± 0.1 |
| Structure-infesting ants | 10.4 ± 0.9 | 0.3 ± 0.1 | 2.2 ± 1.3 |
| Cockroaches | 5.2 ± 0.7 | 9.1 ± 0.9 | 2.6 ± 0.1 |
| Beetles | 4.2 ± 0.4 | 3.9 ± 1.5 | N.A. |
| Moths | 0.9 ± 0.1 | 0.2 ± 0.1 | N.A. |
Also listed are the remediation costs (in 1,000 NOK) per infested apartment unit in BBY's housing stock in 2019. Missing data are noted as N.A.
Prevalence of bed bug infestations in Boligbygg Oslo KF apartments under the different pest management regimes from 2013 to 2019
| Variable |
| Pest management regime | Category | Infestation prevalence (apartments) | Odds ratio (95%CI) |
|---|---|---|---|---|---|
| Year | <0.001 | Initial strategy | 2013 | 0.47% (10,123) | 0.16 (0.12–0.23) |
| Initial strategy | 2014 | 1.24% (10,142) | 0.45 (0.36–0.55) | ||
| Intermediate strategy | 2015 | 2.25% (10,744) | 0.82 (0.69–0.97) | ||
| Intermediate strategy w/ proc. officer | 2016 | 2.95% (11,001) | 1.10 (0.93–1.29) | ||
| Framework agreement w/ proc. officer | 2017 | 2.72% (11,127) | 1.01 (0.86–1.19) | ||
| Framework agreement w/ proc. officer | 2018 | 3.01% (11,181) | 1.13 (0.96–1.32) | ||
| Framework agreement w/ proc. officer | 2019 | 2.75% (11,363) | 1 |
Presence and absence data of bed bugs in apartments were analyzed using mixed-effect logistic regression with city district as a random-effect variable. The random-effect variable, used to adjust for potential differences between districts, improved the model (estimate: 2.334, P < 0.001) and determined that city district is an important factor explaining bed bug prevalence.
Pest management regimes:
Initial strategy: one person without any formal pest control training was assigned as the coordinator of pest management agreements with PCCs.
Intermediate strategy: bed bug prevention, detection, application of effective control methods, and pest reduction responsibility were identified as important elements of efficient remediation.
Framework agreement w/ proc. officer: employment of a procurement officer to administer bed bug remediation under a framework agreement lasting four years. The selection criteria for contractors were price (40%), the quality of the suggested solutions (35%), the competence of the designated PCTs (20%), and the environmental health and safety profile of the PCC (5%).
The outcomes of Boligbygg Oslo KF building-wide inspections performed by the procurement officer and pest control contractors under the different pest management regimes for 2013–2019
| Pest management regime | Buildings inspected | Apartments inspected | Apartments accessed (%) | Infested apartments (%) | Unreported infestations (%) | |
|---|---|---|---|---|---|---|
| 2013 | Initial strategy | 0 | – | – |
| – |
| 2014 | Initial strategy | 0 | – | – |
| – |
| 2015 | Intermediate strategy | 1 | 45 | 97.8 |
| 100 |
| 2016 | Intermediate strategy w/ proc. officer | 14 | 955 | 85.5 |
| 69.2 |
| 2017 | Framework agreement w/ proc. officer | 32 | 1760 | 82.1 |
| 69.4 |
| 2018 | Framework agreement w/ proc. officer | 32 | 1314 | 70.2 |
| 30.9 |
| 2019 | Framework agreement w/ proc. officer | 24 | 1224 | 90.4 |
| 46.2 |
Initial strategy: one person without any formal pest control training was assigned as the coordinator of pest management agreements with PCCs.
Intermediate strategy: bed bug prevention, detection, application of effective control methods, and pest reduction responsibility were identified as important elements of efficient remediation.
Framework agreement w/proc. officer: employment of a procurement officer to administer bed bug remediation under a framework agreement lasting four years. The selection criteria for contractors were price (40%), the quality of the suggested solutions (35%), the competence of the designated PCTs (20%), and the environmental health and safety profile of the PCC (5%).
Fig. 3.Bed bug infestations in Boligbygg Oslo Kommunalt Foretak apartments in the different city district categories for 2015–2019 (average percentage ± SE). Different letters indicate significant differences in infestations between categories (Dunn's method, P < 0.05).
Recorded bed bug infestations in Boligbygg Oslo KF apartments in different city districts for 2015–2019
| Percentage of infestations | ||||||||
|---|---|---|---|---|---|---|---|---|
| City district | City district category | Living condition index | 2015 | 2016 | 2017 | 2018 | 2019 | Average |
| Vestre Aker | Outer west | 2.0 | 0.8 | 0.7 | 1.0 | 2.1 | 0.9 | 1.1 ± 0.3 |
| Ullern | Outer west | 2.3 | 1.1 | 0.0 | 0.4 | 1.2 | 2.4 | 1.0 ± 0.4 |
| Nordstrand | Outer west | 2.8 | 1.7 | 2.1 | 2.1 | 1.9 | 0.9 | 1.7 ± 0.2 |
| Nordre Aker | Outer west | 2.8 | 0.6 | 1.1 | 0.6 | 1.1 | 0.4 | 0.8 ± 0.1 |
| Frogner | Inner west | 4.2 | 0.7 | 1.2 | 0.9 | 1.1 | 2.6 | 1.3 ± 0.3 |
| St. Hanshaugen | Inner west | 5.7 | 2.6 | 5.3 | 4.1 | 3.4 | 2.7 | 3.6 ± 0.5 |
| Østensjø | Old suburbia | 5.0 | 0.8 | 1.1 | 3.2 | 2.8 | 3.0 | 2.2 ± 0.5 |
| Bjerke | Old suburbia | 6.5 | 0.0 | 0.6 | 0.9 | 1.5 | 1.1 | 0.8 ± 0.3 |
|
| 1.0 ± 0.3 | 1.5 ± 0.6 | 1.7 ± 0.5 | 1.9 ± 0.3 | 1.8 ± 0.4 |
| ||
| Grünerløkka | Inner east | 6.7 | 3.5 | 3.4 | 3.5 | 3.6 | 3.5 | 3.5 ± 0.0 |
| Sagene | Inner east | 6.7 | 2.4 | 4.9 | 4.4 | 4.7 | 3.7 | 4.0 ± 0.5 |
| Gamle Oslo | Inner east | 8.0 | 5.2 | 5.1 | 3.6 | 3.7 | 3.2 | 4.2 ± 0.4 |
| Alna | New suburbia | 7.2 | 0.8 | 1.3 | 1.8 | 3.1 | 2.1 | 1.8 ± 0.4 |
| Søndre Nordstrand | New suburbia | 7.2 | 0.7 | 1.5 | 0.7 | 1.1 | 1.3 | 1.1 ± 0.2 |
| Stovner | New suburbia | 7.8 | 1.1 | 1.2 | 2.1 | 2.8 | 3.7 | 2.2 ± 0.5 |
| Grorud | New suburbia | 8.3 | 1.1 | 2.0 | 1.5 | 1.9 | 3.1 | 1.9 ± 0.3 |
|
| 2.1 ± 0.6 | 2.8 ± 0.6 | 2.5 ± 0.5 | 3.0 ± 0.5 | 2.9 ± 0.3 |
|
City districts were divided into two groups according to their living condition index score, where ten represents the poorest conditions (Statistics Norway 2008). The index includes the following components: access to social help, mortality, disability insurance, rehabilitation money, unemployment, and transitional benefits.
Average = average infestation per city district across all years.
Higher/lower socioeconomic status = average infestation in the two groups per year and across all years.