Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-4 (of 4 Records) |
Query Trace: Ben Hamida A[original query] |
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SARS-CoV-2 Breakthrough Infections among US Embassy Staff Members, Uganda, May-June 2021.
Harris JR , Owusu D , O'Laughlin K , Cohen AL , Ben Hamida A , Patel JC , Freeman MM , Nsibambi T , Nieves R , Marston BJ , Wasike S , Galbraith JS , Boore AL , Nelson LJ , Guagliardo SAJ , Klena JD , Patel K , Ma M . Emerg Infect Dis 2022 28 (6) 1279-1280 The SARS-CoV-2 Delta variant emerged shortly after COVID-19 vaccines became available in 2021. We describe SARS-CoV-2 breakthrough infections in a highly vaccinated, well-monitored US Embassy community in Kampala, Uganda. Defining breakthrough infection rates in highly vaccinated populations can help determine public health messaging, guidance, and policy globally. |
Development and implementation of the Ebola exposure window calculator: A tool for Ebola virus disease outbreak field investigations
Whitesell A , Bustamante ND , Stewart M , Freeman J , Dismer AM , Alarcon W , Kofman A , Ben Hamida A , Nichol ST , Damon I , Haberling DL , Keita M , Mbuyi G , Armstrong G , Juang D , Dana J , Choi MJ . PLoS One 2021 16 (8) e0255631 During an Ebola virus disease (EVD) outbreak, calculating the exposure window of a confirmed case can assist field investigators in identifying the source of infection and establishing chains of transmission. However, field investigators often have difficulty calculating this window. We developed a bilingual (English/French), smartphone-based field application to assist field investigators in determining the exposure window of an EVD case. The calculator only requires the reported date of symptoms onset and the type of symptoms present at onset or the date of death. Prior to the release of this application, there was no similar electronic capability to enable consistent calculation of EVD exposure windows for field investigators. The Democratic Republic of the Congo Ministry of Health endorsed the application and incorporated it into trainings for field staff. Available for Apple and Android devices, the calculator continues to be downloaded even as the eastern DRC outbreak resolved. We rapidly developed and implemented a smartphone application to estimate the exposure window for EVD cases in an outbreak setting. |
Using nonpolio enterovirus detection to assess the integrity of stool specimens collected from acute flaccid paralysis cases in Somalia during 2014-2017
Ben Hamida A , Mohamed Ali K , Mdodo R , Mohamed A , Mengistu K , Nzunza RM , Farag NH , Ehrhardt DT , Elfakki E , Mbaeyi C . Open Forum Infect Dis 2020 7 (5) ofaa135 Background: Despite insecurity challenges in Somalia, key indicators for acute flaccid paralysis (AFP) surveillance have met recommended targets. However, recent outbreaks of vaccine-derived polioviruses have raised concerns about possible gaps. We analyzed nonpolio enterovirus (NPEV) and Sabin poliovirus isolation rates to investigate whether comparing these rates can inform about the integrity of stool specimens from inaccessible areas and the likelihood of detecting circulating polioviruses. Methods: Using logistic regression, we analyzed case-based AFP surveillance data for 1348 cases with onset during 2014-2017. We assessed the adjusted impacts of variables including age, accessibility, and Sabin-like virus isolation on NPEV detection. Results: NPEVs were more likely to be isolated from AFP case patients reported from inaccessible areas than accessible areas (23% vs 15%; P = .01). In a multivariable model, inaccessibility and detection of Sabin-like virus were positively associated with NPEV detection (adjusted odds ratio [AOR], 1.75; 95% confidence interval [CI], 1.14-2.65; and AOR, 1.79; 95% CI, 1.07-2.90; respectively), while being aged >/=5 years was negatively associated (AOR, 0.42; 95% CI, 0.20-0.85). Conclusions: Rates of NPEV and Sabin poliovirus detection in inaccessible areas suggest that the integrity of fecal specimens tested for AFP surveillance in Somalia can generate useful AFP data, but uncertainties remain about surveillance system quality. |
Trends and characteristics of CDC Global Rapid Response Team deployments - a 6-month report, October 2018-March 2019
Ben Hamida A , Bugli D , Hoffman A , Greiner AL , Harley D , Saindon JM , Walsh J , Bierman E , Mallory J , Blaylock K , Shetty S , Bensyl DM , Wheeler BD . Public Health Rep 2020 135 (3) 33354920914662 The Centers for Disease Control and Prevention (CDC) Global Rapid Response Team (GRRT) was launched in June 2015 to strengthen the capacity for international response and to provide an agency-wide roster of qualified surge-staff members who can deploy on short notice and for long durations. To assess GRRT performance and inform future needs for CDC and partners using rapid response teams, we analyzed trends and characteristics of GRRT responses and responders, for deployments of at least 1 day during October 1, 2018, through March 31, 2019. One hundred twenty deployments occurred during the study period, corresponding to 2645 person-days. The median deployment duration was 19 days (interquartile range, 5-30 days). Most deployments were related to emergency response (n = 2367 person-days, 90%); outbreaks of disease accounted for almost all deployment time (n = 2419 person-days, 99%). Most deployments were to Africa (n = 1417 person-days, 54%), and epidemiologists were the most commonly deployed technical advisors (n = 1217 person-days, 46%). This case study provides useful information for assessing program performance, prioritizing resource allocation, informing future needs, and sharing lessons learned with other programs managing rapid response teams. GRRT has an important role in advancing the global health security agenda and should continuously be assessed and adjusted to new needs. |
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