Eviction filings during bans on enforcement throughout the COVID-19 pandemic: an interrupted time series analysis
Objective Bans on evictions were implemented to reduce the spread of COVID-19 and to protect vulnerable populations during a public health crisis. Our objective was to examine how three bans on eviction enforcement impacted eviction filings from March 2020 through January 2022 in Ontario, Canada. Me...
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| Veröffentlicht in: | Canadian journal of public health 2023-10, Vol.114 (5), p.745-754 |
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| creator | Brown, Erika M. Moineddin, Rahim Hapsari, Ayu Gozdyra, Peter Durant, Steve Pinto, Andrew D. |
| description | Objective
Bans on evictions were implemented to reduce the spread of COVID-19 and to protect vulnerable populations during a public health crisis. Our objective was to examine how three bans on eviction enforcement impacted eviction filings from March 2020 through January 2022 in Ontario, Canada.
Methods
Data were derived from eviction application records kept by the Ontario Landlord and Tenant Board. We used segmented regression analysis to model changes in the average weekly filing rates for evictions due to non-payment of rent (L1 filings) and reasons other than non-payment of rent (L2 filings).
Results
The average number of weekly L1 and L2 applications dropped by 67.5 (95% CI: 55.2, 79.9) and 31.7 (95% CI: 26.7, 36.6) filings per 100,000 rental dwellings, respectively, following the first ban on eviction enforcement (
p
|
| doi_str_mv | 10.17269/s41997-023-00813-1 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10485221</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2861995250</sourcerecordid><originalsourceid>FETCH-LOGICAL-c479t-ba8cb2c25623b350e28cb83720e93fcc3a3f229751f4ed92478815c03c3cc4963</originalsourceid><addsrcrecordid>eNp9kU1v1DAQhi1ERZeFX4CELHHhkuKvxDYXhJZSKlXqpeVqOc5k11Vip3ZSqf8eb7eUj0NP45l5_XrGD0LvKDmhkjX6UxZUa1kRxitCFOUVfYFWVDNSSSGbl2hFSrkSrOHH6HXONyXlXPJX6JjLWlEp1Ardnt55N_sYcO8HH7YZd0sqEbc2ZFzKEPqYHIwQZjzvUly2u7jsj4A3lz_Pv1VU48mGDkbvPmMbsA8zpLRMM3R49iPgDMlDLi073Gef36Cj3g4Z3j7GNbr-fnq1-VFdXJ6db75eVE5IPVetVa5ljtUN4y2vCbCSKy4ZAc1757jlPWNa1rQX0GkmpFK0doQ77pzQDV-jLwffaWlH6FxZINnBTMmPNt2baL35txP8zmzjnaFEqJoxWhw-PjqkeLtAns3os4NhsAHikg1TNaWCqfKra_ThP-lNXFLZeK9qCqaa1aSo-EHlUsw5Qf80DSXmgak5MDWFqXlgavZjvP97kac7vyEWgTgI8rRHB-nP48_5_gIZX64V</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2861995250</pqid></control><display><type>article</type><title>Eviction filings during bans on enforcement throughout the COVID-19 pandemic: an interrupted time series analysis</title><source>Springer Nature - Complete Springer Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>REPÈRE - Free</source><creator>Brown, Erika M. ; Moineddin, Rahim ; Hapsari, Ayu ; Gozdyra, Peter ; Durant, Steve ; Pinto, Andrew D.</creator><creatorcontrib>Brown, Erika M. ; Moineddin, Rahim ; Hapsari, Ayu ; Gozdyra, Peter ; Durant, Steve ; Pinto, Andrew D.</creatorcontrib><description>Objective
Bans on evictions were implemented to reduce the spread of COVID-19 and to protect vulnerable populations during a public health crisis. Our objective was to examine how three bans on eviction enforcement impacted eviction filings from March 2020 through January 2022 in Ontario, Canada.
Methods
Data were derived from eviction application records kept by the Ontario Landlord and Tenant Board. We used segmented regression analysis to model changes in the average weekly filing rates for evictions due to non-payment of rent (L1 filings) and reasons other than non-payment of rent (L2 filings).
Results
The average number of weekly L1 and L2 applications dropped by 67.5 (95% CI: 55.2, 79.9) and 31.7 (95% CI: 26.7, 36.6) filings per 100,000 rental dwellings, respectively, following the first ban on eviction enforcement (
p
< 0.0001). Notably, they did not fall to zero. Level changes during the second and third bans were insubstantial and slope changes for L2 applications varied throughout the study period. The L1 filing rate appeared to increase towards the end of the study period (slope change: 1.3; 95% CI: 0.1, 2.6;
p
= 0.0387).
Conclusion
Our findings suggest that while the first ban on eviction enforcement appeared to substantially reduce filing rates, subsequent bans were less effective and none of them eliminated eviction filings altogether. Enacting upstream policies that tackle the root causes of displacement would better equip jurisdictions during future public health emergencies.</description><identifier>ISSN: 0008-4263</identifier><identifier>EISSN: 1920-7476</identifier><identifier>DOI: 10.17269/s41997-023-00813-1</identifier><identifier>PMID: 37581748</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Bans ; COVID-19 ; Enforcement ; Evictions ; Expulsion ; Filing ; Medicine ; Medicine & Public Health ; Pandemics ; Populations ; Public Health ; Regression analysis ; Regression models ; Special Section on COVID-19: Quantitative Research</subject><ispartof>Canadian journal of public health, 2023-10, Vol.114 (5), p.745-754</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c479t-ba8cb2c25623b350e28cb83720e93fcc3a3f229751f4ed92478815c03c3cc4963</citedby><cites>FETCH-LOGICAL-c479t-ba8cb2c25623b350e28cb83720e93fcc3a3f229751f4ed92478815c03c3cc4963</cites><orcidid>0000-0003-1841-9347</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485221/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485221/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,41464,42533,51294,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37581748$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Brown, Erika M.</creatorcontrib><creatorcontrib>Moineddin, Rahim</creatorcontrib><creatorcontrib>Hapsari, Ayu</creatorcontrib><creatorcontrib>Gozdyra, Peter</creatorcontrib><creatorcontrib>Durant, Steve</creatorcontrib><creatorcontrib>Pinto, Andrew D.</creatorcontrib><title>Eviction filings during bans on enforcement throughout the COVID-19 pandemic: an interrupted time series analysis</title><title>Canadian journal of public health</title><addtitle>Can J Public Health</addtitle><addtitle>Can J Public Health</addtitle><description>Objective
Bans on evictions were implemented to reduce the spread of COVID-19 and to protect vulnerable populations during a public health crisis. Our objective was to examine how three bans on eviction enforcement impacted eviction filings from March 2020 through January 2022 in Ontario, Canada.
Methods
Data were derived from eviction application records kept by the Ontario Landlord and Tenant Board. We used segmented regression analysis to model changes in the average weekly filing rates for evictions due to non-payment of rent (L1 filings) and reasons other than non-payment of rent (L2 filings).
Results
The average number of weekly L1 and L2 applications dropped by 67.5 (95% CI: 55.2, 79.9) and 31.7 (95% CI: 26.7, 36.6) filings per 100,000 rental dwellings, respectively, following the first ban on eviction enforcement (
p
< 0.0001). Notably, they did not fall to zero. Level changes during the second and third bans were insubstantial and slope changes for L2 applications varied throughout the study period. The L1 filing rate appeared to increase towards the end of the study period (slope change: 1.3; 95% CI: 0.1, 2.6;
p
= 0.0387).
Conclusion
Our findings suggest that while the first ban on eviction enforcement appeared to substantially reduce filing rates, subsequent bans were less effective and none of them eliminated eviction filings altogether. Enacting upstream policies that tackle the root causes of displacement would better equip jurisdictions during future public health emergencies.</description><subject>Bans</subject><subject>COVID-19</subject><subject>Enforcement</subject><subject>Evictions</subject><subject>Expulsion</subject><subject>Filing</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Pandemics</subject><subject>Populations</subject><subject>Public Health</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Special Section on COVID-19: Quantitative 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Rahim</creator><creator>Hapsari, Ayu</creator><creator>Gozdyra, Peter</creator><creator>Durant, Steve</creator><creator>Pinto, Andrew D.</creator><general>Springer International Publishing</general><general>Springer Nature 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filings during bans on enforcement throughout the COVID-19 pandemic: an interrupted time series analysis</title><author>Brown, Erika M. ; Moineddin, Rahim ; Hapsari, Ayu ; Gozdyra, Peter ; Durant, Steve ; Pinto, Andrew D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c479t-ba8cb2c25623b350e28cb83720e93fcc3a3f229751f4ed92478815c03c3cc4963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Bans</topic><topic>COVID-19</topic><topic>Enforcement</topic><topic>Evictions</topic><topic>Expulsion</topic><topic>Filing</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Pandemics</topic><topic>Populations</topic><topic>Public Health</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Special Section on COVID-19: Quantitative 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Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Canadian journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brown, Erika M.</au><au>Moineddin, Rahim</au><au>Hapsari, Ayu</au><au>Gozdyra, Peter</au><au>Durant, Steve</au><au>Pinto, Andrew D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Eviction filings during bans on enforcement throughout the COVID-19 pandemic: an interrupted time series analysis</atitle><jtitle>Canadian journal of public health</jtitle><stitle>Can J Public Health</stitle><addtitle>Can J Public Health</addtitle><date>2023-10-01</date><risdate>2023</risdate><volume>114</volume><issue>5</issue><spage>745</spage><epage>754</epage><pages>745-754</pages><issn>0008-4263</issn><eissn>1920-7476</eissn><abstract>Objective
Bans on evictions were implemented to reduce the spread of COVID-19 and to protect vulnerable populations during a public health crisis. Our objective was to examine how three bans on eviction enforcement impacted eviction filings from March 2020 through January 2022 in Ontario, Canada.
Methods
Data were derived from eviction application records kept by the Ontario Landlord and Tenant Board. We used segmented regression analysis to model changes in the average weekly filing rates for evictions due to non-payment of rent (L1 filings) and reasons other than non-payment of rent (L2 filings).
Results
The average number of weekly L1 and L2 applications dropped by 67.5 (95% CI: 55.2, 79.9) and 31.7 (95% CI: 26.7, 36.6) filings per 100,000 rental dwellings, respectively, following the first ban on eviction enforcement (
p
< 0.0001). Notably, they did not fall to zero. Level changes during the second and third bans were insubstantial and slope changes for L2 applications varied throughout the study period. The L1 filing rate appeared to increase towards the end of the study period (slope change: 1.3; 95% CI: 0.1, 2.6;
p
= 0.0387).
Conclusion
Our findings suggest that while the first ban on eviction enforcement appeared to substantially reduce filing rates, subsequent bans were less effective and none of them eliminated eviction filings altogether. Enacting upstream policies that tackle the root causes of displacement would better equip jurisdictions during future public health emergencies.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>37581748</pmid><doi>10.17269/s41997-023-00813-1</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-1841-9347</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Springer Nature - Complete Springer Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; REPÈRE - Free |
| subjects | Bans COVID-19 Enforcement Evictions Expulsion Filing Medicine Medicine & Public Health Pandemics Populations Public Health Regression analysis Regression models Special Section on COVID-19: Quantitative Research |
| title | Eviction filings during bans on enforcement throughout the COVID-19 pandemic: an interrupted time series analysis |
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