MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1093/infdis/jiy137

Медицинская библиотека · The Journal of infectious diseases · 2018

Benefits and Challenges in Using Seroprevalence Data to Inform Models for Measles and Rubella Elimination.

Winter Amy K, Martinez Micaela E, Cutts Felicity T, Moss William J, Ferrari Matt J, McKee Amalie, Lessler Justin, Hayford Kyla, Wallinga Jacco, Metcalf C Jess E

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

Control efforts for measles and rubella are intensifying globally. It becomes increasingly important to identify and reach remaining susceptible populations as elimination is approached.

METHODS

Serological surveys for measles and rubella can potentially measure susceptibility directly, but their use remains rare. In this study, using simulations, we outline key subtleties in interpretation associated with the dynamic context of age-specific immunity, highlighting how the patterns of immunity predicted from disease surveillance and vaccination coverage data may be misleading.

RESULTS

High-quality representative serosurveys could provide a more accurate assessment of immunity if challenges of conducting, analyzing, and interpreting them are overcome. We frame the core disease control and elimination questions that could be addressed by improved serological tools, discussing challenges and suggesting approaches to increase the feasibility and sustainability of the tool.

CONCLUSIONS

Accounting for the dynamical context, serosurveys could play a key role in efforts to achieve and sustain elimination.

Для цитирования: Winter Amy K, Martinez Micaela E, Cutts Felicity T, Moss William J, Ferrari Matt J, McKee Amalie, Lessler Justin, Hayford Kyla, Wallinga Jacco, Metcalf C Jess E. Benefits and Challenges in Using Seroprevalence Data to Inform Models for Measles and Rubella Elimination.. The Journal of infectious diseases. 2018. DOI: 10.1093/infdis/jiy137.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.