Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-3 (of 3 Records) |
Query Trace: Maxwell TN[original query] |
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Secondary infections with Ebola virus in rural communities, Liberia and Guinea, 2014-2015
Lindblade KA , Nyenswah T , Keita S , Diallo B , Kateh F , Amoah A , Nagbe TK , Raghunathan P , Neatherlin JC , Kinzer M , Pillai SK , Attfield KR , Hajjeh R , Dweh E , Painter J , Barradas DT , Williams SG , Blackley DJ , Kirking HL , Patel MR , Dea M , Massoudi MS , Barskey AE , Zarecki SL , Fomba M , Grube S , Belcher L , Broyles LN , Maxwell TN , Hagan JE , Yeoman K , Westercamp M , Mott J , Mahoney F , Slutsker L , DeCock KM , Marston B , Dahl B . Emerg Infect Dis 2016 22 (9) 1653-5 Persons who died of Ebola virus disease at home in rural communities in Liberia and Guinea resulted in more secondary infections than persons admitted to Ebola treatment units. Intensified monitoring of contacts of persons who died of this disease in the community is an evidence-based approach to reduce virus transmission in rural communities. |
Decreased Ebola transmission after rapid response to outbreaks in remote areas, Liberia, 2014
Lindblade KA , Kateh F , Nagbe TK , Neatherlin JC , Pillai SK , Attfield KR , Dweh E , Barradas DT , Williams SG , Blackley DJ , Kirking HL , Patel MR , Dea M , Massoudi MS , Wannemuehler K , Barskey AE , Zarecki SL , Fomba M , Grube S , Belcher L , Broyles LN , Maxwell TN , Hagan JE , Yeoman K , Westercamp M , Forrester J , Mott J , Mahoney F , Slutsker L , DeCock KM , Nyenswah T . Emerg Infect Dis 2015 21 (10) 1800-7 We measured the reproduction number before and after interventions were implemented to reduce Ebola transmission in 9 outbreaks in Liberia during 2014. We evaluated risk factors for secondary cases and the association between patient admission to an Ebola treatment unit (ETU) and survival. The reproduction number declined 94% from 1.7 (95% CI 1.1-2.6) to 0.1 (95% CI 0.02-0.6) after interventions began. The risk for secondary infections was 90% lower for patients admitted to an ETU (risk ratio 0.1, 95% CI 0.04-0.3) than for those who died in the community. The case-fatality rate was 68% (95% CI 60-74), and ETU admission was associated with a 50% reduction in death (hazard ratio 0.5, 95% CI 0.4-0.8). Isolation and treatment of Ebola patients had the dual benefit of interrupting community transmission and improving survival. |
Typhoid fever acquired in the United States, 1999-2010: epidemiology, microbiology, and use of a space-time scan statistic for outbreak detection
Imanishi M , Newton AE , Vieira AR , Gonzalez-Aviles G , Kendall Scott ME , Manikonda K , Maxwell TN , Halpin JL , Freeman MM , Medalla F , Ayers TL , Derado G , Mahon BE , Mintz ED . Epidemiol Infect 2014 143 (11) 1-12 Although rare, typhoid fever cases acquired in the United States continue to be reported. Detection and investigation of outbreaks in these domestically acquired cases offer opportunities to identify chronic carriers. We searched surveillance and laboratory databases for domestically acquired typhoid fever cases, used a space-time scan statistic to identify clusters, and classified clusters as outbreaks or non-outbreaks. From 1999 to 2010, domestically acquired cases accounted for 18% of 3373 reported typhoid fever cases; their isolates were less often multidrug-resistant (2% vs. 15%) compared to isolates from travel-associated cases. We identified 28 outbreaks and two possible outbreaks within 45 space-time clusters of 2 domestically acquired cases, including three outbreaks involving 2 molecular subtypes. The approach detected seven of the ten outbreaks published in the literature or reported to CDC. Although this approach did not definitively identify any previously unrecognized outbreaks, it showed the potential to detect outbreaks of typhoid fever that may escape detection by routine analysis of surveillance data. Sixteen outbreaks had been linked to a carrier. Every case of typhoid fever acquired in a non-endemic country warrants thorough investigation. Space-time scan statistics, together with shoe-leather epidemiology and molecular subtyping, may improve outbreak detection. |
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