Last data update: Jun 24, 2024. (Total: 47078 publications since 2009)
Records 1-2 (of 2 Records) |
Query Trace: Talib T [original query] |
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On alert for Ebola: public health risk assessment of travellers from Uganda to the U.S. during the 2022 outbreak
Fowler JJ , Preston LE , Gearhart S , Figueroa A , Christensen D , Mitchell C , Hernandez E , Grills AW , Morrison SM , Wilkinson M , Talib T , Lavilla K , Watson T , Mitcham D , Nash R , Veguilla MC , Hansen S , Cohen NJ , Nu Clarke SA , Smithson A , Shearer E , Pella DG , Morris JD , Meehan S , Aboukheir M , Adams K , Sunavala Z , Conley J , Abouattier M , Palo M , Pimentel LC , Berro A , Mainzer H , Byrkit R , Kim D , Katebi V , Alvarado-Ramy F , Roohi S , Wojno AE , Brown CM , Gertz AM . J Travel Med 2024 BACKGROUND: On September 20, 2022, the Ugandan Ministry of Health declared an outbreak of Ebola disease caused by Sudan ebolavirus. METHODS: From October 6, 2022, through January 10, 2023, CDC staff conducted public health assessments at five U.S. ports of entry for travellers identified as having been in Uganda in the previous 21 days. CDC also recommended that state, local and territorial health departments ('health departments') conduct post-arrival monitoring of these travellers. CDC provided traveller contact information daily to 58 health departments and collected health department data regarding monitoring outcomes. RESULTS: Among 11 583 travellers screened, 132 (1%) required additional assessment due to potential exposures or symptoms of concern. Fifty-three (91%) health departments reported receiving traveller data from CDC for 10 114 (87%) travellers, of whom 8499 (84%) were contacted for monitoring, 1547 (15%) could not be contacted, and 68 (1%) had no reported outcomes. No travellers with high-risk exposures or Ebola disease were identified. CONCLUSIONS: Entry risk assessment and post-arrival monitoring of travellers are resource-intensive activities which had low demonstrated yield during this and previous outbreaks. The efficiency of future responses could be improved by incorporating an assessment of risk of importation of disease, accounting for individual travellers' potential for exposure, and expanded use of methods that reduce burden to federal agencies, health departments, and travellers. |
Epidemiology of a Novel Recombinant MERS-CoV in Humans in Saudi Arabia.
Assiri AM , Midgley CM , Abedi GR , Bin Saeed A , Almasri MM , Lu X , Al-Abdely HM , Abdalla O , Mohammed M , Algarni HS , Alhakeem RF , Sakthivel SK , Nooh R , Alshayab Z , Alessa M , Srinivasamoorthy G , AlQahtani SY , Kheyami A , HajOmar WH , Banaser TM , Esmaeel A , Hall AJ , Curns AT , Tamin A , Alsharef AA , Erdman D , Watson JT , Gerber SI . J Infect Dis 2016 214 (5) 712-21 ![]() BACKGROUND: The Middle East respiratory syndrome coronavirus (MERS-CoV) causes severe respiratory illness in humans. Fundamental questions about circulating viruses and transmission routes remain. METHODS: We assessed routinely collected epidemiologic data for MERS-CoV cases reported in Saudi Arabia during January 01 - June 30, 2015, and conducted a more detailed investigation of cases reported during February 2015. Available respiratory specimens were obtained for sequencing. RESULTS: During the study period, 216 MERS-CoV cases were reported. Spike gene or full genome sequences (n=17) were obtained from 99 individuals. Most (72 of 99, 73%) sequences formed a discrete, novel recombinant clade (NRC-2015), which was detected in 6 regions and became predominant by June, 2015. No clinical differences were noted between clades. Among 87 cases reported during February 2015, 13 had no recognized risks for secondary acquisition; 12 of these 13 also denied camel contact. Most viruses (8 of 9) from these 13 individuals belonged to NRC-2015. DISCUSSION: Our findings document the spread and eventual predominance of NRC-2015 in humans in Saudi Arabia during the first half of 2015. Our identification of cases without recognized risk factors but with similar virus sequences suggests that additional study is needed to better understand risk factors for MERS-CoV infection. |
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