Cargando…

The data used to build the models: Pertussis morbidity and mortality burden considering various Brazilian data sources

BACKGROUND: Pertussis is associated with significant disease burden in children worldwide. In addition to its cyclical nature, resurgences of pertussis cases, hospitalizations and deaths have been reported by many countries. We describe the dynamics of pertussis in Brazil, a middle-income country th...

Descripción completa

Detalles Bibliográficos
Autores principales: Bagattini, Angela M., Policena, Gabriela, Minamisava, Ruth, Andrade, Ana Lucia S., Nishioka, Sérgio de A., Sinha, Anushua, Russell, Louise B., Toscano, Cristiana M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738753/
https://www.ncbi.nlm.nih.gov/pubmed/33303181
http://dx.doi.org/10.1016/j.vaccine.2020.09.007
_version_ 1783623187787939840
author Bagattini, Angela M.
Policena, Gabriela
Minamisava, Ruth
Andrade, Ana Lucia S.
Nishioka, Sérgio de A.
Sinha, Anushua
Russell, Louise B.
Toscano, Cristiana M.
author_facet Bagattini, Angela M.
Policena, Gabriela
Minamisava, Ruth
Andrade, Ana Lucia S.
Nishioka, Sérgio de A.
Sinha, Anushua
Russell, Louise B.
Toscano, Cristiana M.
author_sort Bagattini, Angela M.
collection PubMed
description BACKGROUND: Pertussis is associated with significant disease burden in children worldwide. In addition to its cyclical nature, resurgences of pertussis cases, hospitalizations and deaths have been reported by many countries. We describe the dynamics of pertussis in Brazil, a middle-income country that has experienced a resurgence and that provides good quality data to allow building a dynamic transmission disease model. METHODS: We conducted a descriptive analysis of pertussis burden considering data from the national disease surveillance system, national hospitalization information system and national mortality registry. Study period was 2000–2016. Absolute numbers and rates per 100,000 inhabitants over time, by age sub-groups and geographical regions are presented. RESULTS: From 2000 to 2016, a total of 37,299 reported pertussis cases, 25,240 hospitalizations, and 601 deaths due to pertussis were reported. Although the outcomes – pertussis cases, hospitalizations, and deaths – come from independent information systems, our results document low disease burden with periodic increases every 3–4 years during the years 2000–2010, followed by a sharp increase which peaked in 2014. In both periods, disease burden is concentrated in young children, while its more serious outcomes – hospitalizations and deaths, are concentrated in infants. Pre-outbreak and outbreak disease burden as well as timing of peak during the outbreak period vary by states and within geographical regions, representing valuable resources of data for modelling purposes. CONCLUSION: Consistent disease burden patterns were observed over time in Brazil using a variety of data sources. Given the scarcity of good epidemiological data on pertussis available from low- and middle-income countries, our reported data provide valuable information for the assessment of the public health impact and cost-effectiveness modelling studies of newer strategies to prevent and control pertussis. These data were used to build and calibrate a national dynamic transmission model, which was used to evaluate the cost-effectiveness of maternal immunization. Clinical Trial registry name and registration number: Not applicable.
format Online
Article
Text
id pubmed-7738753
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier Science
record_format MEDLINE/PubMed
spelling pubmed-77387532021-01-03 The data used to build the models: Pertussis morbidity and mortality burden considering various Brazilian data sources Bagattini, Angela M. Policena, Gabriela Minamisava, Ruth Andrade, Ana Lucia S. Nishioka, Sérgio de A. Sinha, Anushua Russell, Louise B. Toscano, Cristiana M. Vaccine Article BACKGROUND: Pertussis is associated with significant disease burden in children worldwide. In addition to its cyclical nature, resurgences of pertussis cases, hospitalizations and deaths have been reported by many countries. We describe the dynamics of pertussis in Brazil, a middle-income country that has experienced a resurgence and that provides good quality data to allow building a dynamic transmission disease model. METHODS: We conducted a descriptive analysis of pertussis burden considering data from the national disease surveillance system, national hospitalization information system and national mortality registry. Study period was 2000–2016. Absolute numbers and rates per 100,000 inhabitants over time, by age sub-groups and geographical regions are presented. RESULTS: From 2000 to 2016, a total of 37,299 reported pertussis cases, 25,240 hospitalizations, and 601 deaths due to pertussis were reported. Although the outcomes – pertussis cases, hospitalizations, and deaths – come from independent information systems, our results document low disease burden with periodic increases every 3–4 years during the years 2000–2010, followed by a sharp increase which peaked in 2014. In both periods, disease burden is concentrated in young children, while its more serious outcomes – hospitalizations and deaths, are concentrated in infants. Pre-outbreak and outbreak disease burden as well as timing of peak during the outbreak period vary by states and within geographical regions, representing valuable resources of data for modelling purposes. CONCLUSION: Consistent disease burden patterns were observed over time in Brazil using a variety of data sources. Given the scarcity of good epidemiological data on pertussis available from low- and middle-income countries, our reported data provide valuable information for the assessment of the public health impact and cost-effectiveness modelling studies of newer strategies to prevent and control pertussis. These data were used to build and calibrate a national dynamic transmission model, which was used to evaluate the cost-effectiveness of maternal immunization. Clinical Trial registry name and registration number: Not applicable. Elsevier Science 2021-01-03 /pmc/articles/PMC7738753/ /pubmed/33303181 http://dx.doi.org/10.1016/j.vaccine.2020.09.007 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bagattini, Angela M.
Policena, Gabriela
Minamisava, Ruth
Andrade, Ana Lucia S.
Nishioka, Sérgio de A.
Sinha, Anushua
Russell, Louise B.
Toscano, Cristiana M.
The data used to build the models: Pertussis morbidity and mortality burden considering various Brazilian data sources
title The data used to build the models: Pertussis morbidity and mortality burden considering various Brazilian data sources
title_full The data used to build the models: Pertussis morbidity and mortality burden considering various Brazilian data sources
title_fullStr The data used to build the models: Pertussis morbidity and mortality burden considering various Brazilian data sources
title_full_unstemmed The data used to build the models: Pertussis morbidity and mortality burden considering various Brazilian data sources
title_short The data used to build the models: Pertussis morbidity and mortality burden considering various Brazilian data sources
title_sort data used to build the models: pertussis morbidity and mortality burden considering various brazilian data sources
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738753/
https://www.ncbi.nlm.nih.gov/pubmed/33303181
http://dx.doi.org/10.1016/j.vaccine.2020.09.007
work_keys_str_mv AT bagattiniangelam thedatausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT policenagabriela thedatausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT minamisavaruth thedatausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT andradeanalucias thedatausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT nishiokasergiodea thedatausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT sinhaanushua thedatausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT russelllouiseb thedatausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT toscanocristianam thedatausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT bagattiniangelam datausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT policenagabriela datausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT minamisavaruth datausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT andradeanalucias datausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT nishiokasergiodea datausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT sinhaanushua datausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT russelllouiseb datausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources
AT toscanocristianam datausedtobuildthemodelspertussismorbidityandmortalityburdenconsideringvariousbraziliandatasources