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Abstract
Discussion Forum (0)
Abstract number: 3236

Session Type: ePosters

Session Title: ePosters

Authors(s): G. Aguilar (1), Z. Morel (2), J. Mendez (1), G. Estigarribia (1), T. Baez Llamosas (3), A. Rojas De Arias (4), M.D.C. Royg (5), C. Schaerer (6), E. Gimenez (7), I. Ortiz (2), G. Zarate (8), S. Munoz (9)

Authors Affiliations(s): (1) Universidad Nacional de Caaguazu, Paraguay, (2) Universidad Nacional de Asuncion, Paraguay, (3) Asociacion de estadísticos del Paraguay, Paraguay, (4) CEDIC, Paraguay, (5) CIRD, Paraguay, (6) CIMA, Paraguay, (7) Universidad Nacional de Concepcion, Paraguay, (8) Instituto de Prevision Social, Paraguay, (9) Universidad de la Frontera, Paraguay

Background:

Monitoring clusters of people with SARS COV2 can prevent the spread of a disease such as COVID-19. The dual implementation of prospective and retrospective contact tracing can save more lives by 1) discovering how and where clusters form, uncovering more chains of transmission, and 2) generating actionable insights about SARS COV2 transmission in communities to implement specific measures for each specific environment.

Objective: Determine the SARS COV2 transmission profile from clusters with index cases identified in the V health region in 2020.

Methods:

Observational study in patients diagnosed with COVID-19 in the V Health Region. Secondary sources were used: covid19 case notification files and RT_PCR laboratory results. Patient data (sex, age, if there was an epidemiological link, type of event in which transmission occurred and contact history) were recorded and coded in excell and analyzed with Stata 16.0, data management in networks was performed through Ucinet, RDSAT and Netdraw. Through the Google Earth online application, the mapped census points were downloaded and transformed into Shaperfile format to be processed in ESRI's ArcGIS software (Arcmap 10.1).

Results:

A total of 652 subjects were included who tested positive for PCR between July and October 2020. A total of 40.09% were contagious with a known link. The highest number of infections occurred in social events 59.10%, followed by family events 34.03% and work events 6.87%. The average number of subjects per cluster was 3. The largest cluster belonged to a subject whose wave of infections reached 29 people. People over 50 and children were in the 2 second and third wave of transmission. The neighborhoods most affected were downtown neighborhoods.

Conclusions:

Based on the information, the suggested strategy is the identification of clusters and appropriate responses to each context.

Keyword(s): covid-19, transmission, contacts


COI Other: Consejo Nacional de CIencia y Tecnología (CONACYT)Fundación Comunitaria CIRDV Region Sanitaria.
Abstract number: 3236

Session Type: ePosters

Session Title: ePosters

Authors(s): G. Aguilar (1), Z. Morel (2), J. Mendez (1), G. Estigarribia (1), T. Baez Llamosas (3), A. Rojas De Arias (4), M.D.C. Royg (5), C. Schaerer (6), E. Gimenez (7), I. Ortiz (2), G. Zarate (8), S. Munoz (9)

Authors Affiliations(s): (1) Universidad Nacional de Caaguazu, Paraguay, (2) Universidad Nacional de Asuncion, Paraguay, (3) Asociacion de estadísticos del Paraguay, Paraguay, (4) CEDIC, Paraguay, (5) CIRD, Paraguay, (6) CIMA, Paraguay, (7) Universidad Nacional de Concepcion, Paraguay, (8) Instituto de Prevision Social, Paraguay, (9) Universidad de la Frontera, Paraguay

Background:

Monitoring clusters of people with SARS COV2 can prevent the spread of a disease such as COVID-19. The dual implementation of prospective and retrospective contact tracing can save more lives by 1) discovering how and where clusters form, uncovering more chains of transmission, and 2) generating actionable insights about SARS COV2 transmission in communities to implement specific measures for each specific environment.

Objective: Determine the SARS COV2 transmission profile from clusters with index cases identified in the V health region in 2020.

Methods:

Observational study in patients diagnosed with COVID-19 in the V Health Region. Secondary sources were used: covid19 case notification files and RT_PCR laboratory results. Patient data (sex, age, if there was an epidemiological link, type of event in which transmission occurred and contact history) were recorded and coded in excell and analyzed with Stata 16.0, data management in networks was performed through Ucinet, RDSAT and Netdraw. Through the Google Earth online application, the mapped census points were downloaded and transformed into Shaperfile format to be processed in ESRI's ArcGIS software (Arcmap 10.1).

Results:

A total of 652 subjects were included who tested positive for PCR between July and October 2020. A total of 40.09% were contagious with a known link. The highest number of infections occurred in social events 59.10%, followed by family events 34.03% and work events 6.87%. The average number of subjects per cluster was 3. The largest cluster belonged to a subject whose wave of infections reached 29 people. People over 50 and children were in the 2 second and third wave of transmission. The neighborhoods most affected were downtown neighborhoods.

Conclusions:

Based on the information, the suggested strategy is the identification of clusters and appropriate responses to each context.

Keyword(s): covid-19, transmission, contacts


COI Other: Consejo Nacional de CIencia y Tecnología (CONACYT)Fundación Comunitaria CIRDV Region Sanitaria.
Transmission profile of SARS COV2 in the V Health Region. Period July to October 2020
Gloria Aguilar
Gloria Aguilar
ESCMID eAcademy. Aguilar G. 07/09/2021; 329220; 3236;
user
Gloria Aguilar
Abstract
Discussion Forum (0)
Abstract number: 3236

Session Type: ePosters

Session Title: ePosters

Authors(s): G. Aguilar (1), Z. Morel (2), J. Mendez (1), G. Estigarribia (1), T. Baez Llamosas (3), A. Rojas De Arias (4), M.D.C. Royg (5), C. Schaerer (6), E. Gimenez (7), I. Ortiz (2), G. Zarate (8), S. Munoz (9)

Authors Affiliations(s): (1) Universidad Nacional de Caaguazu, Paraguay, (2) Universidad Nacional de Asuncion, Paraguay, (3) Asociacion de estadísticos del Paraguay, Paraguay, (4) CEDIC, Paraguay, (5) CIRD, Paraguay, (6) CIMA, Paraguay, (7) Universidad Nacional de Concepcion, Paraguay, (8) Instituto de Prevision Social, Paraguay, (9) Universidad de la Frontera, Paraguay

Background:

Monitoring clusters of people with SARS COV2 can prevent the spread of a disease such as COVID-19. The dual implementation of prospective and retrospective contact tracing can save more lives by 1) discovering how and where clusters form, uncovering more chains of transmission, and 2) generating actionable insights about SARS COV2 transmission in communities to implement specific measures for each specific environment.

Objective: Determine the SARS COV2 transmission profile from clusters with index cases identified in the V health region in 2020.

Methods:

Observational study in patients diagnosed with COVID-19 in the V Health Region. Secondary sources were used: covid19 case notification files and RT_PCR laboratory results. Patient data (sex, age, if there was an epidemiological link, type of event in which transmission occurred and contact history) were recorded and coded in excell and analyzed with Stata 16.0, data management in networks was performed through Ucinet, RDSAT and Netdraw. Through the Google Earth online application, the mapped census points were downloaded and transformed into Shaperfile format to be processed in ESRI's ArcGIS software (Arcmap 10.1).

Results:

A total of 652 subjects were included who tested positive for PCR between July and October 2020. A total of 40.09% were contagious with a known link. The highest number of infections occurred in social events 59.10%, followed by family events 34.03% and work events 6.87%. The average number of subjects per cluster was 3. The largest cluster belonged to a subject whose wave of infections reached 29 people. People over 50 and children were in the 2 second and third wave of transmission. The neighborhoods most affected were downtown neighborhoods.

Conclusions:

Based on the information, the suggested strategy is the identification of clusters and appropriate responses to each context.

Keyword(s): covid-19, transmission, contacts


COI Other: Consejo Nacional de CIencia y Tecnología (CONACYT)Fundación Comunitaria CIRDV Region Sanitaria.
Abstract number: 3236

Session Type: ePosters

Session Title: ePosters

Authors(s): G. Aguilar (1), Z. Morel (2), J. Mendez (1), G. Estigarribia (1), T. Baez Llamosas (3), A. Rojas De Arias (4), M.D.C. Royg (5), C. Schaerer (6), E. Gimenez (7), I. Ortiz (2), G. Zarate (8), S. Munoz (9)

Authors Affiliations(s): (1) Universidad Nacional de Caaguazu, Paraguay, (2) Universidad Nacional de Asuncion, Paraguay, (3) Asociacion de estadísticos del Paraguay, Paraguay, (4) CEDIC, Paraguay, (5) CIRD, Paraguay, (6) CIMA, Paraguay, (7) Universidad Nacional de Concepcion, Paraguay, (8) Instituto de Prevision Social, Paraguay, (9) Universidad de la Frontera, Paraguay

Background:

Monitoring clusters of people with SARS COV2 can prevent the spread of a disease such as COVID-19. The dual implementation of prospective and retrospective contact tracing can save more lives by 1) discovering how and where clusters form, uncovering more chains of transmission, and 2) generating actionable insights about SARS COV2 transmission in communities to implement specific measures for each specific environment.

Objective: Determine the SARS COV2 transmission profile from clusters with index cases identified in the V health region in 2020.

Methods:

Observational study in patients diagnosed with COVID-19 in the V Health Region. Secondary sources were used: covid19 case notification files and RT_PCR laboratory results. Patient data (sex, age, if there was an epidemiological link, type of event in which transmission occurred and contact history) were recorded and coded in excell and analyzed with Stata 16.0, data management in networks was performed through Ucinet, RDSAT and Netdraw. Through the Google Earth online application, the mapped census points were downloaded and transformed into Shaperfile format to be processed in ESRI's ArcGIS software (Arcmap 10.1).

Results:

A total of 652 subjects were included who tested positive for PCR between July and October 2020. A total of 40.09% were contagious with a known link. The highest number of infections occurred in social events 59.10%, followed by family events 34.03% and work events 6.87%. The average number of subjects per cluster was 3. The largest cluster belonged to a subject whose wave of infections reached 29 people. People over 50 and children were in the 2 second and third wave of transmission. The neighborhoods most affected were downtown neighborhoods.

Conclusions:

Based on the information, the suggested strategy is the identification of clusters and appropriate responses to each context.

Keyword(s): covid-19, transmission, contacts


COI Other: Consejo Nacional de CIencia y Tecnología (CONACYT)Fundación Comunitaria CIRDV Region Sanitaria.

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