Dhamari Naidoo

Ebola RNA Persistence in Semen of Ebola Virus Disease Survivors — Final Report

BACKGROUND Ebola virus has been detected in the semen of men after their recovery from Ebola virus disease (EVD). We report the presence of Ebola virus RNA in semen in a cohort of survivors of EVD in Sierra Leone. METHODS We enrolled a convenience sample of 220 adult male survivors of EVD in Sierra Leone, at various times after discharge from an Ebola treatment unit (ETU), in two phases (100 participants were in phase 1, and 120 in phase 2). Semen specimens obtained at baseline were tested by means of a quantitative reverse‐transcriptase–polymerase‐chain‐reaction (RT‐PCR) assay with the use of the target sequences of NP and VP40 (in phase 1) or NP and GP (in phase 2). This study did not evaluate directly the risk of sexual transmission of EVD. RESULTS Of 210 participants who provided an initial semen specimen for analysis, 57 (27%) had positive results on quantitative RT‐PCR. Ebola virus RNA was detected in the semen of all 7 men with a specimen obtained within 3 months after ETU discharge, in 26 of 42 (62%) with a specimen obtained at 4 to 6 months, in 15 of 60 (25%) with a specimen obtained at 7 to 9 months, in 4 of 26 (15%) with a specimen obtained at 10 to 12 months, in 4 of 38 (11%) with a specimen obtained at 13 to 15 months, in 1 of 25 (4%) with a specimen obtained at 16 to 18 months, and in no men with a specimen obtained at 19 months or later. Among the 46 participants with a positive result in phase 1, the median baseline cycle‐threshold values (higher values indicate lower RNA values) for the NP and VP40 targets were lower within 3 months after ETU discharge (32.4 and 31.3, respectively; in 7 men) than at 4 to 6 months (34.3 and 33.1; in 25), at 7 to 9 months (37.4 and 36.6; in 13), and at 10 to 12 months (37.7 and 36.9; in 1). In phase 2, a total of 11 participants had positive results for NP and GP targets (samples obtained at 4.1 to 15.7 months after ETU discharge); cycle‐threshold values ranged from 32.7 to 38.0 for NP and from 31.1 to 37.7 for GP. CONCLUSIONS These data showed the long‐term presence of Ebola virus RNA in semen and declining persistence with increasing time after ETU discharge. (Funded by the World Health Organization and others.)

Respiratory Viral Coinfections Identified by a 10-Plex Real-Time Reverse-Transcription Polymerase Chain Reaction Assay in Patients Hospitalized With Severe Acute Respiratory Illness—South Africa, 2009–2010

BACKGROUND Data about respiratory coinfections with 2009 pandemic influenza A virus subtype H1N1 during the 2009-2010 influenza pandemic in Africa are limited. We used an existing surveillance program for severe acute respiratory illness to evaluate a new multiplex real-time polymerase chain reaction assay and investigate the role of influenza virus and other respiratory viruses in pneumonia hospitalizations during and after the influenza pandemic in South Africa. METHODS The multiplex assay was developed to detect 10 respiratory viruses, including influenza A and B viruses, parainfluenza virus types 1-3, respiratory syncytial virus (RSV), enterovirus, human metapneumovirus (hMPV), adenovirus (AdV), and rhinovirus (RV), followed by influenza virus subtyping. Nasopharyngeal and oropharyngeal specimens were collected from patients hospitalized with pneumonia at 6 hospitals during 2009-2010. RESULTS Validation against external quality controls confirmed the high sensitivity (91%) and specificity (100%) and user-friendliness, compared with other PCR technologies. Of 8173 patients, 40% had single-virus infections, 17% had coinfections, and 43% remained negative. The most common viruses were RV (25%), RSV (14%), AdV (13%), and influenza A virus (5%). Influenza virus, RSV, PIV type 3, and hMPV showed seasonal patterns. CONCLUSION The data provide a better understanding of the viral etiology of hospitalized cases of pneumonia and demonstrate the usefulness of this multiplex assay in respiratory disease surveillance in South Africa.

Trivalent Inactivated Influenza Vaccine in African Adults Infected With Human Immunodeficient Virus: Double Blind, Randomized Clinical Trial of Efficacy, Immunogenicity, and Safety

BACKGROUND Data on the efficacy of trivalent, inactivated influenza vaccine (TIV) in HIV-infected adults, particularly in Africa, are limited. This study evaluated the safety, immunogenicity, and efficacy of TIV in HIV-infected adults. METHODS In Johannesburg, South Africa, we undertook a randomized, double-blind, placebo-controlled trial involving 506 HIV-infected adults. Subjects included 157 individuals who were antiretroviral treatment (ART) naive and 349 on stable-ART. Participants were randomly assigned to receive TIV or normal saline intramuscularly. Oropharyngeal swabs were obtained at illness visits during the influenza season and tested by shell vial culture and RT PCR assay for influenza virus. Immune response was evaluated by hemagglutinin antibody inhibition assay (HAI) in a nested cohort. The primary study outcome involved vaccine efficacy against influenza confirmed illness. This trial is registered with ClinicalTrials.gov, number NCT00757900. RESULTS The efficacy of TIV against confirmed influenza illness was 75.5% (95% CI: 9.2%-95.6%); with a risk difference of 0.18 per 100 person-weeks in TIV recipients. Among TIV recipients, seroconversion, measured by HAI titers, was evident in 52.6% for H1N1, 60.8% for H3N2, and 53.6% for influenza B virus. This compared with 2.2%, 2.2%, and 4.4% of placebo recipients (P < .0001). The frequency of local and systemic adverse events post-immunization was similar between study groups. CONCLUSIONS TIV immunization is safe and efficacious in African HIV-infected adults without underlying co-morbidities. Further evaluation of effectiveness is warranted in severely immunocompromized HIV-infected adults and those with co-morbidities such as tuberculosis.

Virus genomes reveal factors that spread and sustained the Ebola epidemic

The 2013–2016 West African epidemic caused by the Ebola virus was of unprecedented magnitude, duration and impact. Here we reconstruct the dispersal, proliferation and decline of Ebola virus throughout the region by analysing 1,610 Ebola virus genomes, which represent over 5% of the known cases. We test the association of geography, climate and demography with viral movement among administrative regions, inferring a classic ‘gravity’ model, with intense dispersal between larger and closer populations. Despite attenuation of international dispersal after border closures, cross-border transmission had already sown the seeds for an international epidemic, rendering these measures ineffective at curbing the epidemic. We address why the epidemic did not spread into neighbouring countries, showing that these countries were susceptible to substantial outbreaks but at lower risk of introductions. Finally, we reveal that this large epidemic was a heterogeneous and spatially dissociated collection of transmission clusters of varying size, duration and connectivity. These insights will help to inform interventions in future epidemics.

Rapid outbreak sequencing of Ebola virus in Sierra Leone identifies transmission chains linked to sporadic cases

Abstract To end the largest known outbreak of Ebola virus disease (EVD) in West Africa and to prevent new transmissions, rapid epidemiological tracing of cases and contacts was required. The ability to quickly identify unknown sources and chains of transmission is key to ending the EVD epidemic and of even greater importance in the context of recent reports of Ebola virus (EBOV) persistence in survivors. Phylogenetic analysis of complete EBOV genomes can provide important information on the source of any new infection. A local deep sequencing facility was established at the Mateneh Ebola Treatment Centre in central Sierra Leone. The facility included all wetlab and computational resources to rapidly process EBOV diagnostic samples into full genome sequences. We produced 554 EBOV genomes from EVD cases across Sierra Leone. These genomes provided a detailed description of EBOV evolution and facilitated phylogenetic tracking of new EVD cases. Importantly, we show that linked genomic and epidemiological data can not only support contact tracing but also identify unconventional transmission chains involving body fluids, including semen. Rapid EBOV genome sequencing, when linked to epidemiological information and a comprehensive database of virus sequences across the outbreak, provided a powerful tool for public health epidemic control efforts.

Influenza Epidemiology and Vaccine Effectiveness among Patients with Influenza-Like Illness, Viral Watch Sentinel Sites, South Africa, 2005–2009

Background There is limited data on the epidemiology of influenza and few published estimates of influenza vaccine effectiveness (VE) from Africa. In April 2009, a new influenza virus strain infecting humans was identified and rapidly spread globally. We compared the characteristics of patients ill with influenza A(H1N1)pdm09 virus to those ill with seasonal influenza and estimated influenza vaccine effectiveness during five influenza seasons (2005–2009) in South Africa. Methods Epidemiological data and throat and/or nasal swabs were collected from patients with influenza-like illness (ILI) at sentinel sites. Samples were tested for seasonal influenza viruses using culture, haemagglutination inhibition tests and/or polymerase chain reaction (PCR) and for influenza A(H1N1)pdm09 by real-time PCR. For the vaccine effectiveness (VE) analysis we considered patients testing positive for influenza A and/or B as cases and those testing negative for influenza as controls. Age-adjusted VE was calculated as 1-odds ratio for influenza in vaccinated and non-vaccinated individuals. Results From 2005 through 2009 we identified 3,717 influenza case-patients. The median age was significantly lower among patients infected with influenza A(H1N1)pdm09 virus than those with seasonal influenza, 17 and 27 years respectively (p<0.001). The vaccine coverage during the influenza season ranged from 3.4% in 2009 to 5.1% in 2006 and was higher in the ≥50 years (range 6.9% in 2008 to 13.2% in 2006) than in the <50 years age group (range 2.2% in 2007 to 3.7% in 2006). The age-adjusted VE estimates for seasonal influenza were 48.6% (4.9%, 73.2%); −14.2% (−9.7%, 34.8%); 12.0% (−70.4%, 55.4%); 67.4% (12.4%, 90.3%) and 29.6% (−21.5%, 60.1%) from 2005 to 2009 respectively. For the A(H1N1)pdm09 season, the efficacy of seasonal vaccine was −6.4% (−93.5%, 43.3%). Conclusion Influenza vaccine demonstrated a significant protective effect in two of the five years evaluated. Low vaccine coverage may have reduced power to estimate vaccine effectiveness.

Introduction of 2009 Pandemic Influenza A Virus Subtype H1N1 Into South Africa: Clinical Presentation, Epidemiology, and Transmissibility of the First 100 Cases

BACKGROUND We documented the introduction of 2009 pandemic influenza A virus subtype H1N1 (A[H1N1]pdm09) into South Africa and describe its clinical presentation, epidemiology, and transmissibility. METHODS We conducted a prospective descriptive study of the first 100 laboratory-confirmed cases of A(H1N1)pdm09 infections identified through active case finding and surveillance. Infected patients and the attending clinicians were interviewed, and close contacts were followed up to investigate household transmission. FINDINGS The first case was confirmed on 14 June 2009, and by 15 July 2009, 100 cases were diagnosed. Forty-two percent of patients reported international travel within 7 days prior to onset of illness. Patients ranged in age from 4 to 70 years (median age, 21.5 years). Seventeen percent of household contacts developed influenza-like illness, and 10% of household contacts had laboratory-confirmed A(H1N1)pdm09 infection. We found a mean serial interval (± SD) of 2.3 ± 1.3 days (range, 1-5 days) between successive laboratory-confirmed cases in the transmission chain. CONCLUSIONS A(H1N1)pdm09 established itself rapidly in South Africa. Transmissibility of the virus was comparable to observations from outside of Africa and to seasonal influenza virus strains.

Evolutionary Dynamics of 2009 Pandemic Influenza A Virus Subtype H1N1 in South Africa During 2009–2010

BACKGROUND The 2009 pandemic influenza A virus subtype H1N1 (A[H1N1]pdm09) was first detected in June 2009 in South Africa and later resulted in extensive transmission throughout Africa. Established routine surveillance programs and collaboration between private and public sector laboratories allowed for comprehensive molecular epidemiological and antigenic investigation of the first and second waves of 2009-2010 pandemic influenza in South Africa. METHODS We used reverse-transcription polymerase chain reaction to screen for influenza virus in 9792 specimens recovered during 2009 and 6915 specimens recovered during 2010 from inpatients and outpatients with influenza-like illness or severe acute respiratory illness symptoms identified by surveillance programs. Influenza-positive specimens were subjected to genetic and antigenic characterization. Bayesian and maximum likelihood analyses of the hemagglutinin genes of 96 A(H1N1)pdm09 strains were used for molecular epidemiological investigations. Hemagglutination inhibition assays and sequencing of the PB2 and neuraminidase genes were used to investigate pathogenicity and resistance mutations. RESULTS The A(H1N1)pdm09 epidemic occurred as a second epidemic peak following seasonal influenza A virus subtype H3N2 cases in 2009 and in 2010. Progressive drift away from the A/California/7/2009 vaccine strain was observed at both the nucleotide and amino acid level, with 2010 strains clustering separate to 2009 strains. A few unique clusters of amino acid changes in severe cases were identified, but most strains were antigenically similar to the vaccine strain, and no resistance or known pathogenicity mutations were detected. CONCLUSION Despite limited drift observed over the 2 seasons in South Africa, circulating A(H1N1)pdm09 strains remained antigenically similar to strains identified in other northern and southern hemisphere countries from 2010 and 2011.

External quality assessment study for ebolavirus PCR-diagnostic promotes international preparedness during the 2014 – 2016 Ebola outbreak in West Africa

During the recent Ebola outbreak in West Africa several international mobile laboratories were deployed to the mainly affected countries Guinea, Sierra Leone and Liberia to provide ebolavirus diagnostic capacity. Additionally, imported cases and small outbreaks in other countries required global preparedness for Ebola diagnostics. Detection of viral RNA by reverse transcription polymerase chain reaction has proven effective for diagnosis of ebolavirus disease and several assays are available. However, reliability of these assays is largely unknown and requires serious evaluation. Therefore, a proficiency test panel of 11 samples was generated and distributed on a global scale. Panels were analyzed by 83 expert laboratories and 106 data sets were returned. From these 78 results were rated optimal and 3 acceptable, 25 indicated need for improvement. While performance of the laboratories deployed to West Africa was superior to the overall performance there was no significant difference between the different assays applied.

Epidemiological and Virological Characterization of 2009 Pandemic Influenza A Virus Subtype H1N1 in Madagascar

BACKGROUND Madagascar was one of the first African countries to be affected by the 2009 pandemic of influenza A virus subtype H1N1 [A(H1N1)pdm2009] infection. The outbreak started in the capital city, Antananarivo, and then spread throughout the country from October 2009 through February 2010. METHODS Specimens from patients presenting with influenza-like illness were collected and shipped to the National Influenza Center in Madagascar for analyses, together with forms containing patient demographic and clinical information. RESULTS Of the 2303 specimens tested, 1016 (44.1%) and 131 (5.7%) yielded A(H1N1)pdm09 and seasonal influenza virus, respectively. Most specimens (42.0%) received were collected from patients <10 years old. Patients <20 years old were more likely than patients >50 years old to be infected with A(H1N1)pdm09 (odds ratio, 2.1; 95% confidence interval, 1.7-2.6; P < .01). Although phylogenetic analyses of A(H1N1)pdm09 suggested multiple introductions of the virus into Madagascar, no antigenic differences between A(H1N1)pdm09 viruses recovered in Madagascar and those that circulated worldwide were observed. CONCLUSIONS The high proportion of respiratory specimens positive for A(H1N1)pdm09 is consistent with a widespread transmission of the pandemic in Madagascar. The age distribution of cases of A(H1N1)pdm09 infection suggests that children and young adults could be targeted for interventions that aim to reduce transmission during an influenza pandemic.