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In this paper we demonstrate that immunization session size distributions are governed by binomial statistics and determined by just two readily available programmatic parameters, the birth cohort of the catchment area and the session frequency. Given this new knowledge, the unavoidable component of an immunization facility's opened vial wastage rate can be determined algebraically for each vial size and discard time. This has significant positive programmatic implications for immunization session planning, vaccine needs forecasting, vaccine wastage monitoring, and vaccine product specification and choice. Further operational research is required to field test the different applications of the model and to inform the development of tools and guidance. BACKGROUND AND AIM The knowledge of dynamics of pertussis toxin (PT)-IgG after pertussis and the appropriate diagnostic cut-off value is limited. We aimed to describe the dynamics of PT-IgG in children and adults up to three years after symptomatic pertussis. METHODS Patients with persistent cough of unknown aetiology were prospectively enrolled 2012-2014. Pertussis was confirmed by culture, PCR and/or serology. The follow-up samples were taken 4-6 weeks, 1, 2 and 3 years after enrolment. Bcl-xL protein PT-IgG kinetics was described by biexponential model. RESULTS Pertussis was diagnosed in 22 patients [median (IQR) age 17.7 (8.4-38.6) years]. Adults compared with children had higher peak of the PT-IgG 397 (IQR 374-518) vs 292 (200-363), p = 0.007, longer time to reach peak PT-IgG 16.4 (IQR 15.6-16.8) days vs 13.3 (13.2-13.4) days, p= less then 0.001 and shorter PT-IgG half-life 24 days (IQR 20-40) and 364 days (IQR 359-486) p  less then  0.001. CONCLUSION After symptomatic pertussis, adults and children have different dynamics of PT-IgG. Clinical trial registry Not applicable. In March 2019, a group of global health leaders with expertise in influenza, vaccinology and pandemic preparedness was convened for a meeting titled "Shaping Meeting to explore the value of a coordinated work plan for epidemic and pandemic influenza vaccine preparedness." Influenza epidemics occur annually in every country in the world, resulting in significant global burden of illness and deaths. While every country is effected, most deaths and severe disease occur in low- and lower middle-income countries (LIC and LMIC). Influenza immunization programs that limit the burden of disease, deaths, and reduce economic impact are a fundamental public health intervention for seasonal epidemics. In addition, they provide the experience, systems and infrastructure for the timely and efficient use of vaccines and other medical countermeasures critical for effective pandemic responses. Pandemic influenza response activities, including vaccination efforts, will be most effective if used and practiced regularly. Consequped and guided by an alliance of international stakeholders, to include, among others, government, and nongovernment organization representation, civil society representatives, vaccine manufacturers, international organizations, and health security and influenza experts. Copyright © 2020.BACKGROUND Currently, there are no solutions to prevent congenital transmission of Chagas disease during pregnancy, which affects 1-40% of pregnant women in Latin America and is associated with a 5% transmission risk. With therapeutic vaccines under development, now is the right time to determine the economic value of such a vaccine to prevent congenital transmission. METHODS We developed a computational decision model that represented the clinical outcomes and diagnostic testing strategies for an infant born to a Chagas-positive woman in Mexico and evaluated the impact of vaccination. RESULTS Compared to no vaccination, a 25% efficacious vaccine averted 125 [95% uncertainty interval (UI) 122-128] congenital cases, 1.9 (95% UI 1.6-2.2) infant deaths, and 78 (95% UI 66-91) DALYs per 10,000 infected pregnant women; a 50% efficacious vaccine averted 251 (95% UI 248-254) cases, 3.8 (95% UI 3.6-4.2) deaths, and 160 (95% UI 148-171) DALYs; and a 75% efficacious vaccine averted 376 (95% UI 374-378) cases, 5.8 (95% Uer when developing and bringing such a vaccine to market. BACKGROUND The Accelerated Development of VAccine beNefit-risk Collaboration in Europe (ADVANCE) is a public-private collaboration aiming to develop and test a system for rapid benefit-risk monitoring of vaccines using existing healthcare databases in Europe. We estimated vaccine coverage from electronic healthcare databases as part of a fit-for-purpose assessment for vaccine benefit-risk studies. METHODS A retrospective dynamic cohort study was conducted through a distributed network approach. Coverage with measles-vaccine for birth year 2006, human papillomavirus (HPV)-vaccine for birth years 1990-2000 and influenza-vaccine for birth years 1920-1950 was estimated using period-prevalence and inverse probability weighting methods. Seven databases from four countries participated Italy (Pedianet, Val Padana), Spain (BIFAP, SIDIAP), UK (RCGP-RSC, THIN), Denmark (SSI/AUH). Database access providers extracted the data, transformed it into a common structure and ran an R-script locally. The created output tables were shared and pooled at a central server. RESULTS The total study population comprised 274,616 persons for measles-vaccine, 2,011,666 persons for HPV-vaccine and 14,904,033 persons for influenza-vaccine. Measles-vaccine coverage varied from 84.3% (Denmark) to 96.5% (Italy, Val Padana) for the first dose and from 82.8% (Italy, Val Padana) to 90.9% (UK) for the second dose at the age of 7 years. The HPV-vaccine coverage, aggregated over birth years 1997-2000, ranged from 60% (UK) to 88.3% (Denmark) at the age of 15 years. The influenza-vaccine coverage for the influenza seasons from 2009 to 2015 for persons aged 65 years and more was roughly stable around 43% in Denmark and around 68% in the UK while a decrease from 58 to 50% was observed in Catalonia (Spain). CONCLUSIONS We obtained detailed, age-specific coverage estimates though a common procedure. We discussed between database comparability and comparability to published national estimates.

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