Thindwa, Deus; Clifford, Samuel; Kleynhans, Jackie; von Gottberg, Anne; Walaza, Sibongile; Meiring, Susan; Swarthout, Todd D; Miller, Elizabeth; McIntyre, Peter; Andrews, Nick; +10 more... Amin-Chowdhury, Zahin; Fry, Norman; Jambo, Kondwani C; French, Neil; Almeida, Samanta Cristine Grassi; Ladhani, Shamez N; Heyderman, Robert S; Cohen, Cheryl; de Cunto Brandileone, Maria Cristina; Flasche, Stefan; (2023) Optimal age targeting for pneumococcal vaccination in older adults; a modelling study. Nature communications, 14 (1). 888-. ISSN 2041-1723 DOI: https://doi.org/10.1038/s41467-023-36624-8
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Abstract
Invasive pneumococcal disease (IPD) risk increases with age for older adults whereas the population size benefiting from pneumococcal vaccines and robustness of immunogenic response to vaccination decline. We estimate how demographics, vaccine efficacy/effectiveness (VE), and waning VE impact on optimal age for a single-dose pneumococcal vaccination. Age- and vaccine-serotype-specific IPD cases from routine surveillance of adults ≥ 55 years old (y), ≥ 4-years after infant-pneumococcal vaccine introduction and before 2020, and VE data from prior studies were used to estimate IPD incidence and waning VE which were then combined in a cohort model of vaccine impact. In Brazil, Malawi, South Africa and England 51, 51, 54 and 39% of adults older than 55 y were younger than 65 years old, with a smaller share of annual IPD cases reported among < 65 years old in England (4,657; 20%) than Brazil (186; 45%), Malawi (4; 63%), or South Africa (134, 48%). Vaccination at 55 years in Brazil, Malawi, and South Africa, and at 70 years in England had the greatest potential for IPD prevention. Here, we show that in low/middle-income countries, pneumococcal vaccines may prevent a substantial proportion of residual IPD burden if administered earlier in adulthood than is typical in high-income countries.
Item Type | Article |
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Faculty and Department |
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & International Health (2023-) Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) |
Research Centre |
Centre for the Mathematical Modelling of Infectious Diseases ?? 181801 ?? |
PubMed ID | 36797259 |
Elements ID | 199074 |
Official URL | http://dx.doi.org/10.1038/s41467-023-36624-8 |
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