SARS-CoV-2 Catalonia contact tracing program : evaluation of key performance indicators
© 2022. The Author(s)..
BACKGROUND: Guidance on SARS-CoV-2 contact tracing indicators have been recently revised by international public health agencies. The aim of the study is to describe and analyse contact tracing indicators based on Catalonia's (Spain) real data and proposing to update them according to recommendations.
METHODS: Retrospective cohort analysis including Catalonia's contact tracing dataset from 20 May until 31 December 2020. Descriptive statistics are performed including sociodemographic stratification by age, and differences are assessed over the study period.
RESULTS: We analysed 923,072 contacts from 301,522 SARS-CoV-2 cases with identified contacts (67.1% contact tracing coverage). The average number of contacts per case was 4.6 (median 3, range 1-243). A total of 403,377 contacts accepted follow-up through three phone calls over a 14-day quarantine period (84.5% of contacts requiring follow-up). The percentage of new cases declared as contacts 14 days prior to diagnosis evolved from 33.9% in May to 57.9% in November. All indicators significantly improved towards the target over time (p < 0.05 for all four indicators).
CONCLUSIONS: Catalonia's SARS-CoV-2 contact tracing indicators improved over time despite challenging context. The critical revision of the indicator's framework aims to provide essential information in control policies, new indicators proposed will improve system delay's follow-up. The study provides information on COVID-19 indicators framework experience from country's real data, allowing to improve monitoring tools in 2021-2022. With the SARS-CoV-2 pandemic being so harmful to health systems and globally, is important to analyse and share contact tracing data with the scientific community.
| Media Type: |
Electronic Article |
|---|
| Year of Publication: |
2022 |
|---|---|
| Publication: |
2022 |
| Contained In: |
To Main Record - volume:22 |
|---|---|
| Contained In: |
BMC public health - 22(2022), 1 vom: 20. Juli, Seite 1397 |
| Language: |
English |
|---|
| Links: |
|---|
| Keywords: |
COVID-19 |
|---|
| Notes: |
Date Completed 22.07.2022 Date Revised 02.08.2022 published: Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1186/s12889-022-13695-8 |
|---|
| funding: |
|
|---|---|
| Supporting institution / Project title: |
|
| PPN (Catalogue-ID): |
NLM343788950 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM343788950 | ||
| 003 | DE-627 | ||
| 005 | 20231226021249.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1186/s12889-022-13695-8 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1145.xml |
| 035 | |a (DE-627)NLM343788950 | ||
| 035 | |a (NLM)35858841 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Herrero, Mercè |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a SARS-CoV-2 Catalonia contact tracing program |b evaluation of key performance indicators |
| 264 | 1 | |c 2022 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 22.07.2022 | ||
| 500 | |a Date Revised 02.08.2022 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2022. The Author(s). | ||
| 520 | |a BACKGROUND: Guidance on SARS-CoV-2 contact tracing indicators have been recently revised by international public health agencies. The aim of the study is to describe and analyse contact tracing indicators based on Catalonia's (Spain) real data and proposing to update them according to recommendations | ||
| 520 | |a METHODS: Retrospective cohort analysis including Catalonia's contact tracing dataset from 20 May until 31 December 2020. Descriptive statistics are performed including sociodemographic stratification by age, and differences are assessed over the study period | ||
| 520 | |a RESULTS: We analysed 923,072 contacts from 301,522 SARS-CoV-2 cases with identified contacts (67.1% contact tracing coverage). The average number of contacts per case was 4.6 (median 3, range 1-243). A total of 403,377 contacts accepted follow-up through three phone calls over a 14-day quarantine period (84.5% of contacts requiring follow-up). The percentage of new cases declared as contacts 14 days prior to diagnosis evolved from 33.9% in May to 57.9% in November. All indicators significantly improved towards the target over time (p < 0.05 for all four indicators) | ||
| 520 | |a CONCLUSIONS: Catalonia's SARS-CoV-2 contact tracing indicators improved over time despite challenging context. The critical revision of the indicator's framework aims to provide essential information in control policies, new indicators proposed will improve system delay's follow-up. The study provides information on COVID-19 indicators framework experience from country's real data, allowing to improve monitoring tools in 2021-2022. With the SARS-CoV-2 pandemic being so harmful to health systems and globally, is important to analyse and share contact tracing data with the scientific community | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Contact tracing | |
| 650 | 4 | |a Key performance indicator | |
| 650 | 4 | |a Program evaluation | |
| 650 | 4 | |a SARS-CoV-2 | |
| 700 | 1 | |a Ciruela, Pilar |e verfasserin |4 aut | |
| 700 | 1 | |a Mallafré-Larrosa, Meritxell |e verfasserin |4 aut | |
| 700 | 1 | |a Mendoza, Sergi |e verfasserin |4 aut | |
| 700 | 1 | |a Patsi-Bosch, Glòria |e verfasserin |4 aut | |
| 700 | 1 | |a Martínez-Solanas, Èrica |e verfasserin |4 aut | |
| 700 | 1 | |a Mendioroz, Jacobo |e verfasserin |4 aut | |
| 700 | 1 | |a Jané, Mireia |e verfasserin |4 aut | |
| 700 | 0 | |a Epidemiological Surveillance Network of Catalonia |e verfasserin |4 aut | |
| 700 | 1 | |a Carmona Parcerisa, Gloria |e investigator |4 oth | |
| 700 | 1 | |a Martinez Mateo, Ana Isabel |e investigator |4 oth | |
| 700 | 1 | |a Pequeño Saco, Sandra |e investigator |4 oth | |
| 700 | 1 | |a Leon Garcia, Agata Raquel |e investigator |4 oth | |
| 700 | 1 | |a Domenech, Elisabet |e investigator |4 oth | |
| 700 | 1 | |a Pericas Escalé, Carles |e investigator |4 oth | |
| 700 | 1 | |a Barrabeig Fabregat, Irene |e investigator |4 oth | |
| 700 | 1 | |a Rovira Faixa, Ariadna |e investigator |4 oth | |
| 700 | 1 | |a Carol Torrades, Mònica |e investigator |4 oth | |
| 700 | 1 | |a Guadalupe Fernandez, Victor |e investigator |4 oth | |
| 700 | 1 | |a Bes Montalat, Nuria |e investigator |4 oth | |
| 700 | 1 | |a Follia Alsina, M Nuria |e investigator |4 oth | |
| 700 | 1 | |a Ferras Prats, Joaquim |e investigator |4 oth | |
| 700 | 1 | |a Minguell Verges, Sofía |e investigator |4 oth | |
| 700 | 1 | |a Ferrús Serra, Gloria |e investigator |4 oth | |
| 700 | 1 | |a Godoy Garcia, Pere |e investigator |4 oth | |
| 700 | 1 | |a Alseda Graells, Miquel |e investigator |4 oth | |
| 700 | 1 | |a Parron Bernabe, Ignacio |e investigator |4 oth | |
| 700 | 1 | |a Cirera Viladot, Anna |e investigator |4 oth | |
| 700 | 1 | |a Rius Gibert, Cristina |e investigator |4 oth | |
| 700 | 1 | |a García de Olalla Rizo, Patricia |e investigator |4 oth | |
| 700 | 1 | |a Pérez Albarracín, Glòria |e investigator |4 oth | |
| 700 | 1 | |a Sala Farre, Maria-Rosa |e investigator |4 oth | |
| 700 | 1 | |a Clotet Romero, Laura |e investigator |4 oth | |
| 700 | 1 | |a Herrero Garcia, Mercè |e investigator |4 oth | |
| 700 | 1 | |a Ciruela Navas, Pilar |e investigator |4 oth | |
| 700 | 1 | |a Mallafré-Larrosa, Meritxell |e investigator |4 oth | |
| 700 | 1 | |a Mendoza Funes, Sergi |e investigator |4 oth | |
| 700 | 1 | |a Patsi-Bosch, Glòria |e investigator |4 oth | |
| 700 | 1 | |a Martínez-Solanas, Èrica |e investigator |4 oth | |
| 700 | 1 | |a Mendioroz Peña, Jacobo |e investigator |4 oth | |
| 700 | 1 | |a Jané Checa, Mireia |e investigator |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t BMC public health |d 2001 |g 22(2022), 1 vom: 20. Juli, Seite 1397 |w (DE-627)NLM111200962 |x 1471-2458 |7 nnns |
| 773 | 1 | 8 | |g volume:22 |g year:2022 |g number:1 |g day:20 |g month:07 |g pages:1397 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1186/s12889-022-13695-8 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 22 |j 2022 |e 1 |b 20 |c 07 |h 1397 | ||