A comparative computational genomics of Ebola Virus Disease strains: In-silico Insight for Ebola control

The effective reproduction number [Formula: see text], the average number of secondary cases that are generated by a single primary case at calendar time [Formula: see text], plays a critical role in interpreting the temporal transmission dynamics of an infectious disease epidemic, while the case fatality risk (CFR) is an indispensable measure of the severity of disease. In many instances, [Formula: see text] is estimated using the reported number of cases (i.e., the incidence data), but such report often does not arrive on time, and moreover, the rate of diagnosis could change as a function of time, especially if we handle diseases that involve substantial number of asymptomatic and mild infections and large outbreaks that go beyond the local capacity of reporting. In addition, CFR is well known to be prone to ascertainment bias, often erroneously overestimated. In this paper, we propose a joint estimation method of [Formula: see text] and CFR of Ebola virus disease (EVD), analyzing the early epidemic data of EVD from March to October 2014 and addressing the ascertainment bias in real time. To assess the reliability of the proposed method, coverage probabilities were computed. When ascertainment effort plays a role in interpreting the epidemiological dynamics, it is useful to analyze not only reported (confirmed or suspected) cases, but also the temporal distribution of deceased individuals to avoid any strong impact of time dependent changes in diagnosis and reporting.

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Characterisation of the T-cell response to Ebola virus glycoprotein amongst survivors of the 2013–16 West Africa epidemic

Nature Communications ◽

10.1038/s41467-021-21411-0 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

T. R. W. Tipton ◽

Y. Hall ◽

J. A. Bore ◽

A. White ◽

L. S. Sibley ◽

...

Keyword(s):

T Cell ◽

West Africa ◽

Cell Response ◽

Ebola Virus ◽

Medical Condition ◽

Virus Disease ◽

T Cell Response ◽

Ebola Virus Disease ◽

Cell Phenotype ◽

T Cell Epitopes

AbstractZaireebolavirus (EBOV) is a highly pathogenic filovirus which can result in Ebola virus disease (EVD); a serious medical condition that presents as flu like symptoms but then often leads to more serious or fatal outcomes. The 2013–16 West Africa epidemic saw an unparalleled number of cases. Here we show characterisation and identification of T cell epitopes in surviving patients from Guinea to the EBOV glycoprotein. We perform interferon gamma (IFNγ) ELISpot using a glycoprotein peptide library to identify T cell epitopes and determine the CD4+ or CD8+ T cell component response. Additionally, we generate data on the T cell phenotype and measure polyfunctional cytokine secretion by these antigen specific cells. We show candidate peptides able to elicit a T cell response in EBOV survivors and provide inferred human leukocyte antigen (HLA) allele restriction. This data informs on the long-term T cell response to Ebola virus disease and highlights potentially important immunodominant peptides.

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Screening at ports of entry for Ebola Virus Disease in England—a descriptive analysis of screening assessment data, 2014–2015

Journal of Public Health ◽

10.1093/pubmed/fdaa216 ◽

2020 ◽

Author(s):

Nicki L Boddington ◽

Sophia Steinberger ◽

Richard G Pebody

Keyword(s):

Public Health ◽

High Risk ◽

Secondary Care ◽

Ebola Virus ◽

Virus Disease ◽

Descriptive Analysis ◽

Health Assessment ◽

Ebola Virus Disease ◽

Screening Assessment

Abstract Background In response to the outbreak of Ebola Virus Disease (EVD) in West Africa in 2014 and evidence of spread to other countries, pre-entry screening was introduced by PHE at five major ports of entry in the England. Methods All passengers that entered the England via the five ports returning from Liberia, Guinea and Sierra Leonne were required to complete a Health Assessment Form and have their temperature taken. The numbers, characteristics and outcomes of these passengers were analysed. Results Between 14 October 2014 and 13 October 2015, a total of 12 648 passengers from affected countries had been screened. The majority of passengers were assessed as having no direct contact with EVD cases or high-risk events (12 069, 95.4%), although 535 (4.2%) passengers were assessed as requiring public health follow-up. In total, 39 passengers were referred directly to secondary care, although none were diagnosed with EVD. One high-risk passenger was later referred to secondary care and diagnosed with EVD. Conclusions Collection of these screening data enabled timely monitoring of the numbers and characteristics of passengers screened for EVD, facilitated resourcing decisions and acted as a mechanism to inform passengers of the necessary public health actions.

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PTSD, depression and anxiety in Ebola virus disease survivors in Beni town, Democratic Republic of the Congo

BMC Psychiatry ◽

10.1186/s12888-021-03343-7 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Célestin Kaputu-Kalala-Malu ◽

Eric Mafuta Musalu ◽

Tim Walker ◽

Olga Ntumba-Tshitenge ◽

Steve Ahuka-Mundeke

Keyword(s):

Ebola Virus ◽

Democratic Republic ◽

Short Term Memory ◽

Virus Disease ◽

Ebola Virus Disease ◽

Depression And Anxiety ◽

Short Term ◽

Republic Of The Congo ◽

Persistent Headache

Abstract Background Ebola Virus Disease (EVD) is a deadly and feared infectious disease, which can be responsible of debilitating physical and psychological sequelae in survivors including depression and anxiety disorders. Unfortunately, there are scarce data on survivor sequelae in Democratic Republic of the Congo. So this study assessed PTSD, depression and anxiety symptoms among EVD survivors enrolled in the follow-up program of the psychosocial care team of Beni town’s general hospital. Methods A cross-sectional study used consecutive sampling to recruit 144 Ebola virus disease survivors who came for follow up from October 23 to November 13; 2019. Basic socio-demographic data, presence of headache and short-term memory function were assessed. The Post-traumatic Checklist Scale and Hospital Anxiety and Depression Scale were used to assess psychological burden among participants. Descriptive statistics were used to summarized data and Pearson’s or likelihood chi-square were used to test association between psychiatric disorders and associated factors. Results The prevalence of PTSD, depression and anxiety was 24.3, 24.3 and 33.3% respectively. Being male (OR = 0.42, 95% CI: 0.16, 0.95, p = 0.049), suffering from persistent headache (OR = 2.62, 95% CI: 1.12, 6.14, p = 0.014), losing a loved one because of EVD (OR: 2.60, 95% CI: 1.11, 6.15, p = 0. 015) and being young − 18-24 years - (OR: 0. 261, 95% CI: 0. 08, 0.82, p = 0,026) were statistically associated with PTSD diagnosis. Having short-term memory impairment and suffering from persistent headache were statistically associated with depression and anxiety diagnoses (OR = 2.44, 95% CI: 1.03, 5.82, p = 0.026); (OR = 2.24, 95% CI: 1.04, 4.85, p = 0.025); (OR = 2.62, 95% CI: 1.12, 6.14, p = 0.014); (OR = 2.31, 95% CI: 1.06, 5.01, p = 0.020). Conclusion The prevalence of PTSD, depression and anxiety is high among EVD survivors. Development of specialized psychiatric services to sustain psychiatric and psychological health amongst survivors in the cultural context of the Eastern part of the DRC should be considered by the teams fighting against EVD in the DRC.

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