key: cord-0757567-ifcqp1ob authors: de Gier, Brechje; Andeweg, Stijn; Backer, Jantien A; Hahné, Susan JM; van den Hof, Susan; de Melker, Hester E; Knol, Mirjam J; Hofhuis, Agnetha; Teirlinck, Anne; van Lier, Alies; Boudewijns, Bronke; de Dreu, Miek; Valk, Anne-Wil; Jongenotter, Femke; Verstraten, Carolien; Broekhaar, Gert; Willekens, Guido; Veldhuijzen, Irene; Polman, Jan; van de Kassteele, Jan; Alblas, Jeroen; van Heereveld, Janneke; Heijne, Janneke; Bulsink, Kirsten; Wielders, Lieke; van Asten, Liselotte; Jenniskens, Liz; Soetens, Loes; Mulder, Maarten; Schipper, Maarten; de Lange, Marit; Smorenburg, Naomi; Neppelenbroek, Nienke; van den Berg, Patrick; de Oliveira Bressane Lima, Priscila; van Gaalen, Rolina; Wijburg, Sara; Abbas Zadeh, Shahabeh; de Bruijn, Siméon; van Iersel, Senna; Wierenga, Sjoerd; Lanooij, Susan; Keijser, Sylvia; Smit, Tara; Klinkenberg, Don; de Boer, Pieter; McDonald, Scott; Maxwell, Amber; Niessen, Annabel; Berry, Danytza; van Wees, Daphne; van Meijeren, Dimphey; Vos, Eric RA; Dijkstra, Frederika; Kemmeren, Jeanet; Ainslie, Kylie; Middeldorp, Marit; Kooijman, Marjolein; Faber, Timor; Jan van Hoek, Albert; Geubbels, Eveline; van Benthem, Birgit; Wallinga, Jacco; van Gageldonk-Lafeber, Rianne title: Vaccine effectiveness against SARS-CoV-2 transmission to household contacts during dominance of Delta variant (B.1.617.2), the Netherlands, August to September 2021 date: 2021-11-04 journal: Euro Surveill DOI: 10.2807/1560-7917.es.2021.26.44.2100977 sha: bd8c6f45b51d8b8e43d531cd381f4251a087f33c doc_id: 757567 cord_uid: ifcqp1ob We estimated SARS-CoV-2 vaccine effectiveness against onward transmission by comparing secondary attack rates among household members for vaccinated and unvaccinated index cases, based on source and contact tracing data collected when the Delta variant was dominant. Effectiveness of full vaccination of the index case against transmission to unvaccinated and fully vaccinated household contacts, respectively, was 63% (95% confidence interval (CI): 46–75) and 40% (95% CI: 20–54), in addition to the direct protection of vaccination of contacts against infection. We estimated SARS-CoV-2 vaccine effectiveness against onward transmission by comparing secondary attack rates among household members for vaccinated and unvaccinated index cases, based on source and contact tracing data collected when the Delta variant was dominant. Effectiveness of full vaccination of the index case against transmission to unvaccinated and fully vaccinated household contacts, respectively, was 63% (95% confidence interval (CI): 46-75) and 40% (95% CI: 20-54), in addition to the direct protection of vaccination of contacts against infection. In early August 2021, we reported vaccine effectiveness against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission and infections among household and other close contacts of confirmed cases in the Netherlands [1] . That study was based on source and contact tracing data collected from February to May 2021, when the wildtype and Alpha variant of SARS-CoV-2 (Phylogenetic Assignment of Named Global Outbreak (Pango) lineage designation B.1.1.7) were dominating. From 29 May to 4 July 2021, the Delta variant (B.1.617.2) took over and became dominant, with over 85% Delta variant among sequenced isolates starting from 5 July. A large increase in notified coronavirus disease cases at the end of June 2021 resulted in a shortage of source and contact tracing capacity at the Municipal Health Services (MHS) in July and the beginning of August (Figure) . Therefore, our analysis of vaccine effectiveness against transmission (VET) of the Delta variant was only possible for data collected after full source and contact tracing was resumed on 9 August 2021. We ended our study period on 24 September 2021 because since 25 September, unvaccinated people have been required to present a negative test or proof of recovery to enter bars, restaurants and events, which will impact testing behaviour differentially by vaccination status [2] . During the study period, more than 97% of sequenced Dutch isolates were identified as Delta variant [3] . A case was defined as a person with a positive SARS-CoV-2 PCR, loop mediated isothermal amplification (LAMP) or antigen test. Until July 2021, all household contacts of confirmed cases had to quarantine for 10 days, and were urged to get tested on Day 1 and Day 5 after exposure or in case of symptoms. If a contact was tested negative on Day 5, they could end the quarantine. On 8 July 2021, a policy change was implemented, and fully vaccinated household contacts of confirmed cases no longer had to quarantine. These fully vaccinated contacts were still strongly advised to get tested on Day 5 and to practice physical distancing until Day 10. A full description of the data and methods used can be found in our previous report [1] . In short, a pseudonymised minimal contact monitoring dataset was used, with additional data on index cases (including vaccination status and symptom onset date) extracted from the national infectious disease notification registry. The VET was estimated by comparing the secondary attack rate (SAR) among household contacts of confirmed index cases by vaccination status of the index case: 1 − (SAR vaccinated index /SAR unvaccinated index ) × 100%. An index case was a person with a positive SARS-CoV-2 test who, according to the source tracing interview, was most probably not infected at home. Index cases and household contacts 12 years or older were included in the analysis, as all residents in the Netherlands older than 12 years have been eligible for vaccination since July 2021. Partly vaccinated individuals were defined as those who had received the first dose of a two-dose schedule with a time since vaccination of at least 14 days. Fully vaccinated was defined as having completed a two-dose schedule with a time since vaccination of at least 14 days, or a one-dose schedule with a time since vaccination of at least 28 days, consistent with the definitions of 'fully vaccinated' in the Dutch vaccination certificate. We estimated the VET using a binomial generalised linear model. For parameter fitting we used the generalised estimating equations approach with exchangeable correlation structure to account for clustering of contacts belonging to the same index case, using package geepack in R version 4.0.5 (R Foundation, Vienna, Austria) [4, 5] . All models included age group of the index and contact (12-17, 18-29, 30-49, 50-74 and ≥ 75 years) and week of notification date of the index case as covariates. We stratified the analyses by vaccination status of the contacts. The final dataset contained 7,771 contacts of 4,921 index cases. Of the contacts, 4,189 (53.9%) were fully vaccinated and 2,941 were unvaccinated (37.8%). Of the index cases, 2,641 (53.7%) were unvaccinated and 1,740 (35.4%) were fully vaccinated, which is a coverage much lower than in the general population (71% among adults at the start of the study period) reflecting a protective effect of the COVID-19 vaccination against infection [6] . Characteristics of index cases and contacts are shown in Table 1 . Vaccination status by age reflects the roll-out of vaccination from old to young. Table 2 shows the vaccination status of contacts by vaccination status of index cases. For Light green area: study period presented here; pink area: study period of our previous report [1] . The share of SARS-CoV-2 variant results from fitting exponential growth curves to weekly surveillance data of sequenced samples [3] . the unvaccinated index cases, 59.1% of household contacts were unvaccinated as well, while only 11.6% of household contacts of vaccinated index cases were unvaccinated. Table 3 shows a lower crude SAR among unvaccinated household contacts for vaccinated index cases compared with unvaccinated index cases (13% vs 22%) and a corresponding adjusted VET of 63% (95% confidence interval (CI): 46-75). Among fully vaccinated household contacts, the crude SAR was similar for fully vaccinated index cases and unvaccinated index cases (11% vs 12%), but this was confounded by age of the index -both SAR and proportion of vaccinated index cases were higher in the oldest age groups (Supplementary Table S1 ). After adjustment, the VET of full vaccination of the index case was 40% (95% CI: 20-54). We had previously found a higher VET to unvaccinated household contacts while the SARS-CoV-2 Alpha variant was predominantly circulating (73%; 95% CI: 65-79) [1] . The secondary attack rate among unvaccinated contacts was also higher during that period (31%) compared with this study dominated by circulation of the Delta variant (22%). This may be a result of increased prevalence of infection-induced immunity. In the beginning of August, around 20% of Dutch blood donors had infection-induced immunity [7] . A larger share of index cases were of a younger age (< 30 years) compared with our previous analysis, and SAR were lower for younger index cases (Supplementary Table S1 ). Our data do not contain information about negative tests. Therefore it is uncertain whether contacts tested negative or did not test at all. Even though both vaccinated and unvaccinated household contacts are advised to test on Day 5 and in case of symptoms, we cannot exclude the possibility that testing rates among household contacts became lower compared with our earlier study, leading to an underestimation of the SAR. Differences in testing behaviour between contacts of vaccinated and unvaccinated index cases could bias our VET estimates. During the study period, most Dutch adults had had the opportunity to receive vaccination, the coverage for 12-17-year-olds was still increasing during this period (around 60% at the end of the study period). The current vaccinated and unvaccinated populations are likely to be different in multiple aspects, such as risk behaviour, willingness to test and adherence to quarantine. These aspects might bias our VET estimates in both directions: while the perceived risk of infection might be smaller in vaccinated people because of their vaccination status, the perceived risk of infection among current unvaccinated populations could also be small. A lower risk perception in both groups may have resulted in decreased testing rates. Daily testing numbers at the MHS test locations averaged around 60,000 in spring 2021, while in August and September, this averaged around 20,000, which is also likely to be influenced by the increasing use of at-home rapid antigen tests [8] . Furthermore, vaccinated and unvaccinated people were strongly clustered within households. This reduced the power of our analysis. It is known from the literature that the Delta variant is more transmissible than the Alpha variant and more likely to cause vaccine breakthrough infections, therefore a reduced VET for Delta compared with Alpha is not unexpected [9, 10] . A recent study by Eyre et al. reported reduced transmission for vaccinated index cases, with adjusted Odds ratio estimates in line with our VET estimates for both Alpha and Delta variant [11] . Eyre et al. found that VET decreased with time since vaccination of the index case. We explored whether such a decrease was also visible in our data (Supplementary Table S2 ). VET estimates were indeed lower when the index case reached full vaccination status 60 or more days before. However, our data do not allow detailed analysis of VET decrease owing to small numbers and strong correlation with age and time since vaccination of the household contacts. If VET indeed declines with time since vaccination, the lower VET for the Delta compared with the Alpha variant may be (partly) due to longer time since vaccination rather than to the variant itself. Our results indicate that vaccination confers protection against onward transmission of SARS-CoV-2 from vaccinated index cases, albeit somewhat less for the Delta than for the Alpha variant. The VET to unvaccinated household contacts is higher than to vaccinated household contacts, with the latter already largely protected from infection and especially from severe disease by their own vaccine-induced immunity. The difference in VET between unvaccinated and fully vaccinated household contacts might also be attributable to differences in age distribution and/or unmeasured confounding, for example by clinical vulnerability or risk behaviour, between the two populations. Possible decreasing vaccine effectiveness against infection and against onward transmission could result in increased SARS-CoV-2 circulation among populations with high vaccine coverage. As full vaccination remains highly effective in preventing severe disease, also for the Delta variant, a high vaccination coverage remains the key to control the COVID-19 pandemic [12] . Vaccine effectiveness against SARS-CoV-2 transmission and infections among household and other close contacts of confirmed cases, the Netherlands Netherlands to reopen further with coronavirus entry passes. The Hague: Government of the Netherlands The Hague: Dutch government Estimating vaccine efficacy from secondary attack rates The R package geepack for generalized estimating equations National Institute for Public Health and the Environment (RIVM). Figures on the COVID-19 vaccination programme: Bilthoven: RIVM; 2021 Antistoffen bij 95% van donors The Hague: Government of the Netherlands Herd immunity induced by COVID-19 vaccination programs and suppression of epidemics caused by the SARS-CoV-2 Delta variant in China Effectiveness of Covid-19 vaccines against the B.1.617.2 (Delta) variant The impact of SARS-CoV-2 vaccination on Alpha and Delta variant transmission Considerations in boosting COVID-19 vaccine immune responses License, supplementary material and copyright The authors would like to thank all source and contact tracing personnel at the 25 Municipal Health Services (GGDen) who have been invaluable for control and surveillance of the COVID-19 epidemic in the Netherlands, and who collected these important data.Funding: This work was funded by the Dutch Ministry of Health, Welfare and Sports. None declared. This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence and indicate if changes were made.Any supplementary material referenced in the article can be found in the online version.