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1.
Clin Infect Dis ; 73(2): 306-313, 2021 07 15.
Artículo en Inglés | MEDLINE | ID: mdl-32448889

RESUMEN

BACKGROUND: Pneumococcal conjugate vaccines (PCVs) are recommended for use in pediatric immunization programs worldwide. Few data are available on their effect against mortality. We present a multicountry evaluation of the population-level impact of PCVs against death due to pneumonia in children < 5 years of age. METHODS: We obtained national-level mortality data between 2000 and 2016 from 10 Latin American and Caribbean countries, using the standardized protocol. Time series models were used to evaluate the decline in all-cause pneumonia deaths during the postvaccination period while controlling for unrelated temporal trends using control causes of death. RESULTS: The estimated declines in pneumonia mortality following the introduction of PCVs ranged from 11% to 35% among children aged 2-59 months in 5 countries: Colombia (24% [95% credible interval {CrI}, 3%-35%]), Ecuador (25% [95% CrI, 4%-41%]), Mexico (11% [95% CrI, 3%-18%]), Nicaragua (19% [95% CrI, 0-34%]), and Peru (35% [95% CrI, 20%-47%]). In Argentina, Brazil, and the Dominican Republic, the declines were not detected in the aggregated age group but were detected in certain age strata. In Guyana and Honduras, the estimates had large uncertainty, and no declines were detected. Across the 10 countries, most of which have low to moderate incidence of pneumonia mortality, PCVs have prevented nearly 4500 all-cause pneumonia deaths in children 2-59 months since introduction. CONCLUSIONS: Although the data quality was variable between countries, and the patterns varied across countries and age groups, the balance of evidence suggests that mortality due to all-cause pneumonia in children declined after PCV introduction. The impact could be greater in populations with a higher prevaccine burden of pneumonia.


Asunto(s)
Infecciones Neumocócicas , Neumonía Neumocócica , Neumonía , Argentina , Brasil , Niño , Colombia , República Dominicana , Honduras , Humanos , Lactante , América Latina/epidemiología , México , Nicaragua , Perú , Vacunas Neumococicas , Neumonía/epidemiología , Neumonía/prevención & control , Neumonía Neumocócica/epidemiología , Neumonía Neumocócica/prevención & control , Vacunas Conjugadas
2.
Gates Open Res ; 4: 136, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-33447734

RESUMEN

Background: Pneumococcal conjugate vaccines (PCVs) have prevented deaths due to pneumonia among children. The effect may differ between higher- and lower-income populations due to various factors, such as differences in the distribution of pneumococcal serotypes, healthcare access, and PCV uptake. This study aims to evaluate an association between increasing PCV coverage and population-level declines in death due to pneumonia and its variation by socioeconomic status of subnational regions. Methods: We analyzed municipality-level mortality data from 2005 and 2015 for children aged 2-23 months in Brazil, Colombia, and Peru. We fit Poisson regression models to estimate the relationship between changes in PCV uptake and deaths due to all-cause pneumonia among subnational regions with different income levels. We controlled for changes unrelated to PCV by using data on non-respiratory deaths over time. Results: Uptake of the third dose of PCV varied across subnational regions and was higher in high-income regions. Higher uptake of PCV was associated with larger declines in pneumonia mortality. This association did not differ by income level of the region in Brazil and Colombia. In Peru, low-income regions observed larger declines in pneumonia deaths, but there was large uncertainty in the difference between the low- and high-income regions. We estimated that, with 90% coverage, there would be 4-38% declines in all-cause pneumonia mortality across income levels and countries. Conclusions: Regions with higher PCV coverage experienced larger declines in pneumonia deaths, regardless of the income level. Having more reliable data on mortality records and vaccine uptake would improve the reliability of vaccine impact estimates.

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