Identifying signatures of the impact of rotavirus vaccines on hospitalizations using sentinel surveillance data from Latin American countries. Issue 2 (10th January 2020)
- Record Type:
- Journal Article
- Title:
- Identifying signatures of the impact of rotavirus vaccines on hospitalizations using sentinel surveillance data from Latin American countries. Issue 2 (10th January 2020)
- Main Title:
- Identifying signatures of the impact of rotavirus vaccines on hospitalizations using sentinel surveillance data from Latin American countries
- Authors:
- Shioda, Kayoko
de Oliveira, Lucia Helena
Sanwogou, Jennifer
Rey-Benito, Gloria
Nuñez Azzad, Diana
Castillo, Roxana Elizabeth
Gamarra Ramírez, María Liz
Von Horoch, Marta Raquel
Weinberger, Daniel M.
Pitzer, Virginia E. - Abstract:
- Highlights: Rotavirus hospitalizations declined after vaccine introduction in PAHO countries. Changes to rotavirus seasonality occurred post-vaccination and varied by country. Various methods provide different advantages for quantifying vaccine impact. Abstract: Background: Passive surveillance data are often the only available source of data that can be used to evaluate the population-level impact of vaccination, but such data often suffer from important limitations such as changes in surveillance efforts. This study provides an example of how to identify important signatures of rotavirus vaccine impact, including evaluating the overall effectiveness and changes in rotavirus seasonal dynamics. Methods: We used data from a standardized sentinel rotavirus surveillance network in six Latin American countries (Bolivia, El Salvador, Guatemala, Honduras, Paraguay, and Venezuela) from 2004 to 2017. A random-effects model was used to evaluate changes in the proportion of rotavirus-associated hospitalizations following vaccine introduction. Harmonic regression models were used to estimate vaccine impact on the number of rotavirus hospitalizations, controlling for trends in rotavirus-negative cases. Changes to rotavirus seasonality were evaluated using center of gravity analysis, wavelet analysis, and harmonic regression. Results: All countries observed declines in the proportion of rotavirus-positive acute diarrhea samples with a mean reduction of 16% (95% confidence interval:Highlights: Rotavirus hospitalizations declined after vaccine introduction in PAHO countries. Changes to rotavirus seasonality occurred post-vaccination and varied by country. Various methods provide different advantages for quantifying vaccine impact. Abstract: Background: Passive surveillance data are often the only available source of data that can be used to evaluate the population-level impact of vaccination, but such data often suffer from important limitations such as changes in surveillance efforts. This study provides an example of how to identify important signatures of rotavirus vaccine impact, including evaluating the overall effectiveness and changes in rotavirus seasonal dynamics. Methods: We used data from a standardized sentinel rotavirus surveillance network in six Latin American countries (Bolivia, El Salvador, Guatemala, Honduras, Paraguay, and Venezuela) from 2004 to 2017. A random-effects model was used to evaluate changes in the proportion of rotavirus-associated hospitalizations following vaccine introduction. Harmonic regression models were used to estimate vaccine impact on the number of rotavirus hospitalizations, controlling for trends in rotavirus-negative cases. Changes to rotavirus seasonality were evaluated using center of gravity analysis, wavelet analysis, and harmonic regression. Results: All countries observed declines in the proportion of rotavirus-positive acute diarrhea samples with a mean reduction of 16% (95% confidence interval: 10–22%). We estimate that each 10% increase in vaccine coverage was associated with declines in the number of rotavirus-positive cases, ranging from 4.3% (1.3–7.2%) in Honduras to 21.4% (16.8–25.9%) in Venezuela. The strength of the seasonal peak in rotavirus incidence became smaller after vaccine introduction in Guatemala, Honduras, and Venezuela. Seasonal peaks also shifted later in the surveillance year, especially in higher-mortality countries. Conclusions: The combination of methods we applied have different strengths that allow us to identify common signatures of rotavirus vaccine impact. … (more)
- Is Part Of:
- Vaccine. Volume 38:Issue 2(2020)
- Journal:
- Vaccine
- Issue:
- Volume 38:Issue 2(2020)
- Issue Display:
- Volume 38, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 38
- Issue:
- 2
- Issue Sort Value:
- 2020-0038-0002-0000
- Page Start:
- 323
- Page End:
- 329
- Publication Date:
- 2020-01-10
- Subjects:
- Rotavirus -- Latin America -- Sentinel surveillance -- Vaccine evaluation -- Imperfect surveillance data -- Harmonic regression
CI confidence interval -- HMD high-mortality developing -- LMD low-mortality developing -- PAHO Pan American Health Organization -- RVGE rotavirus-associated gastroenteritis -- WHO World Health Organization
Vaccines -- Periodicals
615.372 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0264410X ↗
http://www.clinicalkey.com/dura/browse/journalIssue/0264410X ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/0264410X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.vaccine.2019.10.010 ↗
- Languages:
- English
- ISSNs:
- 0264-410X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9138.628000
British Library DSC - BLDSS-3PM
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- 12519.xml