- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04472078
Seroprevalence of Coronavirus Disease 2019 (COVID-19) Antibodies in a Vulnerable Neighbourhood, Buenos Aries Argentina
Seroprevalence of Antibodies to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) in a Vulnerable Neighbourhood, Buenos Aries Argentina
Background The study aimed to establish the seroprevalence of SARS-COV-2 in an Argentinian slum three months after the first case was reported.
Methods Between June 10th and July 1st, a cross-sectional design was carried out on people over 14 years old, selected from a probabilistic sample of households. Finger prick puncture ELISA test
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
A community-level seroprevalence survey was conducted in a cross-sectional design during a Participatory Action Research (PAR).
Starter PAR team: researcher who developed the Elisa Test, virologist that perform the analysis of the test and physician that served as volunteer field epidemiologist at the surveillance system (DetectAr Barrio 31) offered technical cooperation to test people experiencing homelessness.
PAR-First step: A sample for convenience of homeless people was tested during 3 days in a popular dining room managed by a non-governmental organization. Samples were collected by a DetectAr nurse and a volunteer epidemiologist.
PAR-Second step: feasibility was determined by the DetectAr coordinators of the Community Health Division of the Ministry of Health and the 12 health community workers (HCWs) when two volunteer epidemiologists from a University Institute explained the field organization (sample technique, data collection and database entry) for obtaining a probabilistic sample of residents. The PAR process was a cornerstone for reaching the sample size.
PAR-Third step: A cross-sectional study for seroprevalence survey was carried out.
Sample size and sample method Sample size was calculated for a seroprevalence of 5% according to evidence. A two-stage random sampling method was applied. First level: sector of the slum, Second level: geographical areas determined by the Department of Statistic and Census. Thirty houses were selected at this level. People over 14 years old were tested at the front door of their houses.
Serological test An enzyme linked immunosorbent assay [ELISA] developed in Argentina, by a laboratory in Buenos Aires, Argentina, was used. Performance characteristics are a high specificity (>95%) and a high sensibility (>95%) for SARS-COV-2 IgG. The test detects antibodies against two viral antigens, trimeric spike and the receptor binding domain (RBD) of the spike. Viral proteins were expressed in human cells. This kit has obtained regulatory approval by Argentina's national drug regulatory agency (ANMAT, National Administration for Drugs, Food and Medical Devices)[. Blood samples were collected in a capillary tube from a finger prick, taken at the front door of each house. All HCWs were trained and epidemiological data was entered in a database. Samples were processed and analyzed at the virology laboratory in a pediatric hospital of Buenos Aires.
Statistical analysis To obtain the weighted prevalence, sample dataset was expanded to that of the last census by 3 factors: at neighborhood level, at household level and at individual level. The calculation of expansion factors at the household level is the inverse of the joint probability of selecting the last sampling unit (a household). The expansion factors at the household level imply three types of adjustments. The first one is related with non-response (given that some households did not want to answer the survey); the second one corresponds to the projection of sample to the entire population, and the third one to calibration techniques with a final adjustment by groups of age and gender, using external information from population census. Therefore, calibration variables were people 14 year-old or more, grouped by sex and by intervals of age: 14-30; 31-45; 46-59; 60 and more.
Prevalence of IgG antibodies were adjusted using sampling weights and post-stratification to allow for differences in non-response rates based on age group, sex, and census-tract income.
As household members share exposure to COVID-19, thus the outcome (prevalence of COVID-19 IgG) should show some correlation within the household. To test clustering effect, a random effects logistic regression model (multilevel model) was applied as it includes the variation between clusters explicitly in the likelihood and therefore takes account of intracluster correlation.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Caba
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Buenos Aires, Caba, Argentina, 1425
- Hospital de Niños Ricardo Gutiérrez
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- All subjects of 14 years or more who accept to be test
Exclusion Criteria:
- none
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Cross-Sectional
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
to establish the seroprevalence of SARS-CoV-2
Time Frame: up to 20 weeks
|
Prevalence of positive IgG for SARS-CoV-2
|
up to 20 weeks
|
Collaborators and Investigators
Collaborators
Investigators
- Study Chair: Silvana Figar, MD MG, Hospital Italiano de Buenos Aires
- Principal Investigator: Alicia Mistchenko, MD PHD, Hospital de Niños Ricardo Gutiérrez
- Study Chair: Vanina L Pagotto, MD MG, Hospital Italiano de Buenos Aires
- Study Chair: Andrea Gamarnik, PHD, National Council of Scientific and Technical Research, Argentina
- Study Chair: Ana M Gomez Saldaño, MD MG, Salud Comunitaria Ministerio de Salud GCBA
- Study Director: Fernan Quiroz, MD MG, Ministerio de Salud GCBA
- Study Chair: Lorena Luna, MG, Salud Comunitaria Ministerio de Salud GCBA
- Study Chair: Magdalena Wagner Manslau, Salud Comunitaria Ministerio de Salud GCBA
- Study Chair: Julieta Salto, Salud Comunitaria Ministerio de Salud GCBA
Publications and helpful links
General Publications
- Sood N, Simon P, Ebner P, Eichner D, Reynolds J, Bendavid E, Bhattacharya J. Seroprevalence of SARS-CoV-2-Specific Antibodies Among Adults in Los Angeles County, California, on April 10-11, 2020. JAMA. 2020 Jun 16;323(23):2425-2427. doi: 10.1001/jama.2020.8279.
- Pereira RJ, Nascimento GNLD, Gratao LHA, Pimenta RS. The risk of COVID-19 transmission in favelas and slums in Brazil. Public Health. 2020 Jun;183:42-43. doi: 10.1016/j.puhe.2020.04.042. Epub 2020 May 8. No abstract available.
- Corburn J, Vlahov D, Mberu B, Riley L, Caiaffa WT, Rashid SF, Ko A, Patel S, Jukur S, Martinez-Herrera E, Jayasinghe S, Agarwal S, Nguendo-Yongsi B, Weru J, Ouma S, Edmundo K, Oni T, Ayad H. Slum Health: Arresting COVID-19 and Improving Well-Being in Urban Informal Settlements. J Urban Health. 2020 Jun;97(3):348-357. doi: 10.1007/s11524-020-00438-6. Erratum In: J Urban Health. 2021 Apr;98(2):309-310.
- Moen EL, Fricano-Kugler CJ, Luikart BW, O'Malley AJ. Analyzing Clustered Data: Why and How to Account for Multiple Observations Nested within a Study Participant? PLoS One. 2016 Jan 14;11(1):e0146721. doi: 10.1371/journal.pone.0146721. eCollection 2016.
- Galbraith S, Daniel JA, Vissel B. A study of clustered data and approaches to its analysis. J Neurosci. 2010 Aug 11;30(32):10601-8. doi: 10.1523/JNEUROSCI.0362-10.2010.
- Aarts E, Verhage M, Veenvliet JV, Dolan CV, van der Sluis S. A solution to dependency: using multilevel analysis to accommodate nested data. Nat Neurosci. 2014 Apr;17(4):491-6. doi: 10.1038/nn.3648. Epub 2014 Mar 26.
- Zhang CH, Schwartz GG. Spatial Disparities in Coronavirus Incidence and Mortality in the United States: An Ecological Analysis as of May 2020. J Rural Health. 2020 Jun;36(3):433-445. doi: 10.1111/jrh.12476. Epub 2020 Jun 16.
- Theel ES, Slev P, Wheeler S, Couturier MR, Wong SJ, Kadkhoda K. The Role of Antibody Testing for SARS-CoV-2: Is There One? J Clin Microbiol. 2020 Jul 23;58(8):e00797-20. doi: 10.1128/JCM.00797-20. Print 2020 Jul 23.
- Buckley RM. Targeting the World's Slums as Fat Tails in the Distribution of COVID-19 Cases. J Urban Health. 2020 Jun;97(3):358-364. doi: 10.1007/s11524-020-00450-w.
Helpful Links
- Community-level Seroprevalence Surveys
- Seroprevalence of SARS-CoV-2 in Hong Kong and in residents evacuated from Hubei province, China: a multicohort study.
- Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Geneva, Switzerland (SEROCoV-POP): a population-based study.
- Prevalence of SARS-CoV-2 in Spain (ENE-COVID): a nationwide, population-based seroepidemiological study.
- Studies on the processes of social and urban integration in three Buenos Aires slums
- Participatory action research in health systems
- Systemic Facilitation of Collective Processes: Supporting Creativity and Participative Processes in Groups, Communities and Networks
- COVID-19 reagents
- Household and population census: villas 31 and 31 bis, City of Buenos Aires 2009
- The Color of Coronavirus: COVID-19 Deaths by Race and Ethnicity in the U.S.
- "Herd Immunity": A Rough Guide
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 1831
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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