MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1089/vbz.2021.0014

Медицинская библиотека · Vector borne and zoonotic diseases (Larchmont, N.Y.) · 2021

Characterizing Areas with Increased Burden of West Nile Virus Disease in California, 2009-2018.

Danforth Mary E, Fischer Marc, Snyder Robert E, Lindsey Nicole P, Martin Stacey W, Kramer Vicki L

СтатьяПоддержка службы здравоохранения СШАПеревод в очереди

Аннотация

West Nile virus (WNV) is a mosquito-borne flavivirus that can cause severe neurological disease in humans, for which there is no treatment or vaccine. From 2009 to 2018, California has reported more human disease cases than any other state in the United States. We sought to identify smaller geographic areas within the 10 California counties with the highest number of WNV cases that accounted for disproportionately large numbers of human cases from 2009 to 2018. Eleven areas, consisting of groups of high-burden ZIP codes, were identified in nine counties within southern California and California's Central Valley. Despite containing only 2% of California's area and 17% of the state's population, these high-burden ZIP codes accounted for 44% of WNV cases reported and had a mean annual incidence that was 2.4 times the annual state incidence. Focusing mosquito control and public education efforts in these areas would lower WNV disease burden.

Для цитирования: Danforth Mary E, Fischer Marc, Snyder Robert E, Lindsey Nicole P, Martin Stacey W, Kramer Vicki L. Characterizing Areas with Increased Burden of West Nile Virus Disease in California, 2009-2018.. Vector borne and zoonotic diseases (Larchmont, N.Y.). 2021. DOI: 10.1089/vbz.2021.0014.

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.