Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Benjamin A. Dahl is active.

Publication


Featured researches published by Benjamin A. Dahl.


Clinical Infectious Diseases | 2016

Resurgence of Ebola virus disease in Guinea linked to a survivor with virus persistence in seminal fluid for more than 500 days

Boubacar Diallo; Daouda Sissoko; Nicholas J. Loman; Hadja Aïssatou Bah; Hawa Bah; Mary Claire Worrell; Lya Saidou Conde; Ramata Sacko; Samuel Mesfin; Angelo Loua; Jacques Katomba Kalonda; Ngozi A Erondu; Benjamin A. Dahl; Susann Handrick; Ian Goodfellow; Luke W. Meredith; Matt Cotten; Umaru Jah; Raoul Emeric Guetiya Wadoum; Pierre E. Rollin; N'Faly Magassouba; D. Malvy; Xavier Anglaret; Miles W. Carroll; Raymond Bruce Aylward; Mamoudou H. Djingarey; Abdoulaye Diarra; Pierre Formenty; Sakoba Keita; Stephan Günther

We report on an Ebola virus disease (EVD) survivor who showed Ebola virus in seminal fluid 531 days after onset of disease. The persisting virus was sexually transmitted in February 2016, about 470 days after onset of symptoms, and caused a new cluster of EVD in Guinea and Liberia.


PLOS Medicine | 2016

Exposure Patterns Driving Ebola Transmission in West Africa: A Retrospective Observational Study.

Junerlyn Agua-Agum; Archchun Ariyarajah; Bruce Aylward; Luke Bawo; Pepe Bilivogui; Isobel M. Blake; Richard J. Brennan; Amy Cawthorne; Eilish Cleary; Peter Clement; Roland Conteh; Anne Cori; Foday Dafae; Benjamin A. Dahl; Jean-Marie Dangou; Boubacar Diallo; Christl A. Donnelly; Ilaria Dorigatti; Christopher Dye; Tim Eckmanns; Mosoka Fallah; Neil M. Ferguson; Lena Fiebig; Christophe Fraser; Tini Garske; Lice Gonzalez; Esther Hamblion; Nuha Hamid; Sara Hersey; Wes Hinsley

Background The ongoing West African Ebola epidemic began in December 2013 in Guinea, probably from a single zoonotic introduction. As a result of ineffective initial control efforts, an Ebola outbreak of unprecedented scale emerged. As of 4 May 2015, it had resulted in more than 19,000 probable and confirmed Ebola cases, mainly in Guinea (3,529), Liberia (5,343), and Sierra Leone (10,746). Here, we present analyses of data collected during the outbreak identifying drivers of transmission and highlighting areas where control could be improved. Methods and Findings Over 19,000 confirmed and probable Ebola cases were reported in West Africa by 4 May 2015. Individuals with confirmed or probable Ebola (“cases”) were asked if they had exposure to other potential Ebola cases (“potential source contacts”) in a funeral or non-funeral context prior to becoming ill. We performed retrospective analyses of a case line-list, collated from national databases of case investigation forms that have been reported to WHO. These analyses were initially performed to assist WHO’s response during the epidemic, and have been updated for publication. We analysed data from 3,529 cases in Guinea, 5,343 in Liberia, and 10,746 in Sierra Leone; exposures were reported by 33% of cases. The proportion of cases reporting a funeral exposure decreased over time. We found a positive correlation (r = 0.35, p < 0.001) between this proportion in a given district for a given month and the within-district transmission intensity, quantified by the estimated reproduction number (R). We also found a negative correlation (r = −0.37, p < 0.001) between R and the district proportion of hospitalised cases admitted within ≤4 days of symptom onset. These two proportions were not correlated, suggesting that reduced funeral attendance and faster hospitalisation independently influenced local transmission intensity. We were able to identify 14% of potential source contacts as cases in the case line-list. Linking cases to the contacts who potentially infected them provided information on the transmission network. This revealed a high degree of heterogeneity in inferred transmissions, with only 20% of cases accounting for at least 73% of new infections, a phenomenon often called super-spreading. Multivariable regression models allowed us to identify predictors of being named as a potential source contact. These were similar for funeral and non-funeral contacts: severe symptoms, death, non-hospitalisation, older age, and travelling prior to symptom onset. Non-funeral exposures were strongly peaked around the death of the contact. There was evidence that hospitalisation reduced but did not eliminate onward exposures. We found that Ebola treatment units were better than other health care facilities at preventing exposure from hospitalised and deceased individuals. The principal limitation of our analysis is limited data quality, with cases not being entered into the database, cases not reporting exposures, or data being entered incorrectly (especially dates, and possible misclassifications). Conclusions Achieving elimination of Ebola is challenging, partly because of super-spreading. Safe funeral practices and fast hospitalisation contributed to the containment of this Ebola epidemic. Continued real-time data capture, reporting, and analysis are vital to track transmission patterns, inform resource deployment, and thus hasten and maintain elimination of the virus from the human population.


Clinical Infectious Diseases | 2016

Ebola virus persistence in breast milk after no reported illness: A likely source of virus transmission from mother to child

Daouda Sissoko; Mory Keïta; Boubacar Diallo; Negar Aliabadi; David L. Fitter; Benjamin A. Dahl; Joseph Akoi Bore; Fara Raymond Koundouno; Katrin Singethan; Sarah Meisel; Theresa Enkirch; Antonio Mazzarelli; Victoria Amburgey; Ousmane Faye; Amadou A. Sall; N’Faly Magassouba; Miles W. Carroll; Xavier Anglaret; D. Malvy; Pierre Formenty; Raymond Bruce Aylward; Sakoba Keita; Mamoudou H. Djingarey; Nicholas J. Loman; Stephan Günther; Sophie Duraffour

Abstract A 9-month-old infant died from Ebola virus (EBOV) disease with unknown epidemiological link. While her parents did not report previous illness, laboratory investigations revealed persisting EBOV RNA in the mother’s breast milk and the father’s seminal fluid. Genomic analysis strongly suggests EBOV transmission to the child through breastfeeding.


Pediatric Infectious Disease Journal | 2014

Molecular surveillance of rotavirus infection in the Democratic Republic of the Congo August 2009 to June 2012.

Pukuta Es; Esona; Nkongolo A; Mapaseka Seheri; Makasi M; Nyembwe M; Mondonge; Benjamin A. Dahl; Mphahlele Mj; Kathleen F. Cavallaro; Gentsch J; Bowen; Waku-Kouomou D; Muyembe Jj

Background: Rotavirus is a major cause of severe diarrhea worldwide. It causes 453,000 deaths in children annually. In the Democratic Republic of the Congo, sentinel site surveillance of rotavirus gastroenteritis started in 2009 and aimed to document burden of rotavirus diarrhea and identify circulating rotavirus genotypes. Methods: Between August 2009 to June 2012, stool samples were collected in Kinshasa and Lubumbashi, from children <5 years of age who met the WHO case definition for rotavirus gastroenteritis. Rotavirus antigen detection was performed using an enzyme immunoassay technique and rotavirus strains were characterized using a multiplex reverse transcription polymerase chain reaction assay. Results: During the study period, 1614 stool samples were screened for rotavirus by enzyme immunoassay and 990 (61%) were positive. Of these, the genotype was determined in 330 (33%) samples. The most common genotypes found in the samples analyzed were G1P[8] in 2009 (28%) and 2012 (33%), G2P[4] (33%) in 2010 and G2P[6] (28%) in 2011. Uncommon strains like G8P[6] (5%), G6P[6] (5%), G12P[6] (3%), G12P[8] (3%) and G8P[8] (2%) were also detected. Conclusions: In Democratic Republic of the Congo, 61% of the diarrhea in children in <5 years of age was caused by rotavirus infection and a variety of rotavirus genotypes were detected. Implementation of rotavirus genotyping at the national level has improved the timely identification of rotavirus strains. These results will help decision makers in Democratic Republic of the Congo plan the implementation of a rotavirus vaccination program.


Infection, Genetics and Evolution | 2014

Molecular surveillance of rotavirus strains circulating in Yaoundé, Cameroon, September 2007-December 2012.

Angeline Boula; Diane Waku-Kouomou; Mina Njiki Kinkela; Mathew D. Esona; Grace Kemajou; David Mekontso; Mapaseka Seheri; Valantine N. Ndze; Irène Emah; Serge Ela; Benjamin A. Dahl; Marie Kobela; Kathleen F. Cavallaro; Georges Alain Etoundi Mballa; Jon R. Genstch; Michael D. Bowen; Paul Koki Ndombo

Rotavirus is the most common cause of severe diarrheal disease in children under 5 years of age worldwide. The World Health Organization (WHO) estimated that 453,000 rotavirus-attributable deaths occur annually. Through the WHO, the Rotavirus Sentinel Surveillance Program was established in Cameroon in September 2007 with the Mother and Child Center (MCC) in Yaoundé playing the role of sentinel site and national laboratory for this program. The objectives of this surveillance were to assess the rotavirus disease burden and collect baseline information on rotavirus strains circulating in Cameroon. Diarrheal stool samples were collected in a pediatric hospital from children under 5, using the WHO case definition for rotavirus diarrhea. Antigen detection of rotavirus was performed by using an enzyme immunoassay (EIA). The genotypic characterization was performed using multiplexed semi-nested reverse transcription-polymerase chain reaction (RT-PCR) assays. Between September 2007 and December 2012, 2444 stool samples were received at the MCC laboratory for rotavirus antigen detection, of which 999 (41%) were EIA positive. Among EIA positive samples 898 were genotyped. Genotype prevalence varied each year. Genotype G9P[8] was the dominant type during 2007 (32%) and 2008 (24%), genotype G3P[6] predominated in 2010 (36%) and 2011 (25%), and G1P[8] was predominant in 2012 (44%). The findings showed that the rotavirus disease burden is high and there is a broad range of rotavirus strains circulating in Yaoundé. These data will help measure the impact of vaccination in the future.


Emerging Infectious Diseases | 2015

Contact Tracing Activities during the Ebola Virus Disease Epidemic in Kindia and Faranah, Guinea, 2014.

Meredith G. Dixon; Melanie M Taylor; Jacob Dee; Avi Hakim; Paul T. Cantey; Travis Lim; Hawa Bah; Sékou Mohamed Camara; Clement B. Ndongmo; Mory Togba; Leonie Yvonne Touré; Pepe Bilivogui; Mohammed Sylla; Michael H. Kinzer; Fatima Coronado; Jon Eric Tongren; Mahesh Swaminathan; Lise Mandigny; Boubacar Diallo; Thomas Seyler; Marc Rondy; Guénaël Rodier; William Perea; Benjamin A. Dahl

Thorough case identification and contact tracing are necessary to end this epidemic.


Transactions of The Royal Society of Tropical Medicine and Hygiene | 2011

Evaluation of antibacterial soap in the management of lymphoedema in Leogane, Haiti

David G. Addiss; Marie-Carmel Michel; Antoine Michelus; Jeanne Radday; Ward Billhimer; Jacky Louis-Charles; Jacquelin M. Roberts; Kathy Kramp; Benjamin A. Dahl; Bruce H. Keswick

In areas endemic for lymphatic filariasis, progression of lymphoedema is associated with recurrent bacterial acute dermatolymphangioadenitis (ADLA). The role of antibacterial soap in preventing ADLA is unknown. In a randomized double-blinded clinical trial in Leogane, Haiti, lymphoedema patients washed affected legs with antibacterial (n = 97) or plain soap (n = 100). Reported ADLA incidence (by recall) before the study was 1.1 episodes per person-year, compared to 0.40 assessed during the 12-month study. ADLA incidence was significantly associated with age, illiteracy and lymphoedema stage, but not with soap type. Washing with soap, regardless of its antibacterial content, can help decrease ADLA incidence. (ClinicalTrials.gov identifier number NCT00139100.).


Infection, Genetics and Evolution | 2014

Molecular surveillance of rotavirus infection in Bangui, Central African Republic, October 2011–September 2013

Virginie Banga-Mingo; Diane Waku-Kouomou; Jean Chrysostome Gody; Mathew D. Esona; Jean Fandema Yetimbi; Regis Mbary-Daba; Benjamin A. Dahl; Leon Dimanche; Thomas d’Aquin Koyazegbe; Vianney Tricou; Kathleen F. Cavallaro; Gilbert Guifara; Michael D. Bowen; Ionela Gouandjika-Vasilache

BACKGROUND The World Health Organization (WHO) recommends the introduction of rotavirus vaccine in the immunization program of all countries. In the Central African Republic (CAR), sentinel surveillance for rotavirus gastroenteritis was established in 2011 by the Ministry of Health, with the support of the Surveillance en Afrique Centrale Project (SURVAC). The purpose of this study was to assess the burden of rotavirus gastroenteritis and to identify rotavirus strains circulating in CAR before the introduction of rotavirus vaccine planned for this year, 2014. METHODS One sentinel site and one laboratory at the national level were designated by the CAR Ministry of Health to participate in this surveillance system. Stool samples were collected from children who met the WHO rotavirus gastroenteritis case definition (WHO, 2006). The samples were first screened for group A rotavirus antigen by enzyme immunoassay (EIA), and genotyping assays performed using a multiplex reverse transcriptase PCR (RT-PCR) technique. RESULTS Between October 2011 and September 2013, 438 stool samples were collected and analyzed for detection of rotavirus antigen; 206 (47%) were positive. Among the 160 (78%) that could be genotyped, G2P[6] was the predominant strain (47%) followed by G1P[8] (25%) and G2P[4] (13%). CONCLUSIONS Almost half of stool samples obtained from children hospitalized with gastroenteritis were positive for rotavirus. These baseline rotavirus surveillance data will be useful to health authorities considering rotavirus vaccine introduction and for evaluating the efficacy of rotavirus vaccine once it is introduced into the routine immunization system.


Annual Review of Medicine | 2017

Ebola: Anatomy of an Epidemic

Terrence Q. Lo; Barbara J. Marston; Benjamin A. Dahl; Kevin M. De Cock

As of the end of March 2016, the West Africa epidemic of Ebola virus disease (Ebola) had resulted in a total of 28,646 cases, 11,323 of them fatal, reported to the World Health Organization. Guinea, Liberia, and Sierra Leone were most heavily affected, but Ebola cases were exported to several other African and European countries as well as the United States, with limited further transmission, including to healthcare workers. We review the descriptive epidemiology of the outbreak, novel aspects and insights concerning the unprecedented response, scientific observations, and public health implications. The large number of Ebola survivors has highlighted the frequency of persistent symptoms and the possibility of virus persistence in sanctuary sites, sometimes leading to delayed transmission. Although transmission appears to have ceased in 2016, the West Africa Ebola epidemic has profoundly influenced discussions and practice concerning global health security.


Emerging Infectious Diseases | 2016

Epidemiology of Epidemic Ebola Virus Disease in Conakry and Surrounding Prefectures, Guinea, 2014–2015

Adriana Rico; Debra Brody; Fatima Coronado; Marc Rondy; Lena Fiebig; Andrea Carcelen; Varough Deyde; Samuel Mesfin; Kyla D. Retzer; Pepe Bilivogui; Sakoba Keita; Benjamin A. Dahl

The capital and neighboring areas remain a focal point of transmission, requiring continued public health vigilance.

Collaboration


Dive into the Benjamin A. Dahl's collaboration.

Top Co-Authors

Avatar

Kathleen F. Cavallaro

Centers for Disease Control and Prevention

View shared research outputs
Top Co-Authors

Avatar

Diane Waku-Kouomou

Centers for Disease Control and Prevention

View shared research outputs
Top Co-Authors

Avatar

Boubacar Diallo

World Health Organization

View shared research outputs
Top Co-Authors

Avatar

Fatima Coronado

National Center for Immunization and Respiratory Diseases

View shared research outputs
Top Co-Authors

Avatar

Mathew D. Esona

Centers for Disease Control and Prevention

View shared research outputs
Top Co-Authors

Avatar

Michael D. Bowen

Centers for Disease Control and Prevention

View shared research outputs
Top Co-Authors

Avatar

R. Migliani

École Normale Supérieure

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

David Mekontso

World Health Organization

View shared research outputs
Top Co-Authors

Avatar

Gilbert Guifara

World Health Organization

View shared research outputs
Researchain Logo
Decentralizing Knowledge