Ebola Virus Disease Transmission Research Articles

Assessing the Contributions of Inactivation, Removal, and Transfer of Ebola Virus and Vesicular Stomatitis Virus by Disinfectant Pre-soaked Wipes.

Disinfectant pre-soaked wipes (DPW) containing activated hydrogen peroxide (AHP) or quaternary ammonium compounds (QAC) were tested using ASTM E2967-15 to determine removal, transfer, and inactivation of Ebola virus Makona variant (EBOV/Mak) and vesicular stomatitis virus (VSV) from contaminated stainless steel prototypic environmental surfaces. The infectious virus-contaminated carriers were subjected to wiping in the Wiperator per the standard. Following the use of negative control (J-Cloth)-, AHP-, or QAC-based wipes, recovery of residual infectious virus was assayed. In the case of the J-Cloth wipes (negative control), although removal of virus from inoculated carriers was extensive i.e., ~99% (1.9–3.5 log10) transfer of virus by these wipes to a secondary surface amounted to ≤ 2% (~3.8 log10) of the initial virus load. In the case of each DPW, >6 log10 removal/inactivation of virus was observed, with limited (EBOV/Mak) or no (VSV) virus transfer observed. The efficacy of wipes for decontaminating high-touch environmental surfaces spiked with EBOV/Mak or VSV is discussed. In summary, removal of EBOV/Mak and VSV using wipes was extensive in this study. In the absence of a sufficient concentration and contact time of an appropriate microbicidal active in DPW (such as the AHP- and QAC-based DPW tested), transfer of a low, albeit significant (from an infectious unit/infectious dose perspective), quantity of infectious virus from the inoculated surface to a secondary surface was observed. In the case of Ebola virus, it is essential that a DPW with an appropriate microbicidal active, following the appropriate contact time, be used to prevent unintended transfer of infectious virus to a clean secondary surface (as observed in negative control /J-Cloth). Otherwise, there exists the possibility of dissemination of Ebola virus and the associated risk of transmission of Ebola virus disease.

Nonstandard finite difference method revisited and application to the Ebola virus disease transmission dynamics

We provide effective and practical guidelines on the choice of the complex denominator function of the discrete derivative as well as on the choice of the nonlocal approximation of nonlinear terms in the construction of nonstandard finite difference (NSFD) schemes. Firstly, we construct nonstandard one-stage and two-stage theta methods for a general dynamical system defined by a system of autonomous ordinary differential equations. We provide a sharp condition, which captures the dynamics of the continuous model. We discuss at length how this condition is pivotal in the construction of the complex denominator function. We show that the nonstandard theta methods are elementary stable in the sense that they have exactly the same fixed-points as the continuous model and they preserve their stability, irrespective of the value of the step size. For more complex dynamical systems that are dissipative, we identify a class of nonstandard theta methods that replicate this property. We apply the first part by considering a dynamical system that models the Ebola Virus Disease (EVD). The formulation of the model involves both the fast/direct and slow/indirect transmission routes. Using the specific structure of the EVD model, we show that, apart from the guidelines in the first part, the nonlocal approximation of nonlinear terms is guided by the productive-destructive structure of the model, whereas the choice of the denominator function is based on the conservation laws and the sub-equations that are associated with the model. We construct a NSFD scheme that is dynamically consistent with respect to the properties of the continuous model such as: positivity and boundedness of solutions; local and/or global asymptotic stability of disease-free and endemic equilibrium points; dependence of the severity of the infection on self-protection measures. Throughout the paper, we provide numerical simulations that support the theory.

Dynamics of conflict during the Ebola outbreak in the Democratic Republic of the Congo 2018\u20132019

BackgroundThe 2018–2019 Ebola virus disease (EVD) outbreak in North Kivu and Ituri provinces in the Democratic Republic of the Congo (DRC) is the largest ever recorded in the DRC. It has been declared a Public Health Emergency of International Concern. The outbreak emerged in a region of chronic conflict and insecurity, and directed attacks against health care workers may have interfered with disease response activities. Our study characterizes and quantifies the broader conflict dynamics over the course of the outbreak by pairing epidemiological and all available spatial conflict data.MethodsWe build a set of conflict variables by mapping the spatial locations of all conflict events and their associated deaths in each of the affected health zones in North Kivu and Ituri, eastern DRC, before and during the outbreak. Using these data, we compare patterns of conflict before and during the outbreak in affected health zones and those not affected. We then test whether conflict is correlated with increased EVD transmission at the health zone level.FindingsThe incidence of conflict events per capita is ~ 600 times more likely in Ituri and North Kivu than for the rest of the DRC. We identified 15 time periods of substantial uninterrupted transmission across 11 health zones and a total of 120 bi-weeks. We do not find significant short-term associations between the bi-week reproduction numbers and the number of conflicts. However, we do find that the incidence of conflict per capita was correlated with the incidence of EVD per capita at the health zone level for the entire outbreak (Pearson’s r = 0.33, 95% CI 0.05–0.57). In the two provinces, the monthly number of conflict events also increased by a factor of 2.7 in Ebola-affected health zones (p value < 0.05) compared to 2.0 where no transmission was reported and 1.3 in the rest of the DRC, in the period between February 2019 and July 2019.ConclusionWe characterized the association between variables documenting broad conflict levels and EVD transmission. Such assessment is important to understand if and how such conflict variables could be used to inform the outbreak response. We found that while these variables can help characterize long-term challenges and susceptibilities of the different regions they provide little insight on the short-term dynamics of EVD transmission.

Ebola Virus Disease Preparedness Assessment and Risk Mapping in Uganda, August-September 2018.

Uganda's proximity to the tenth Ebola virus disease (EVD) outbreak in the Democratic Republic of the Congo (DRC) presents a high risk of cross-border EVD transmission. Uganda conducted preparedness and risk-mapping activities to strengthen capacity to prevent EVD importation and spread from cross-border transmission. We adapted the World Health Organization (WHO) EVD Consolidated Preparedness Checklist to assess preparedness in 11 International Health Regulations domains at the district level, health facilities, and points of entry; the US Centers for Disease Control and Prevention (CDC) Border Health Capacity Discussion Guide to describe public health capacity; and the CDC Population Connectivity Across Borders tool kit to characterize movement and connectivity patterns. We identified 40 ground crossings (13 official, 27 unofficial), 80 health facilities, and more than 500 locations in 12 high-risk districts along the DRC border with increased connectivity to the EVD epicenter. The team also identified routes and congregation hubs, including origins and destinations for cross-border travelers to specified locations. Ten of the 12 districts scored less than 50% on the preparedness assessment. Using these results, Uganda developed a national EVD preparedness and response plan, including tailored interventions to enhance EVD surveillance, laboratory capacity, healthcare professional capacity, provision of supplies to priority locations, building treatment units in strategic locations, and enhancing EVD risk communication. We identified priority interventions to address risk of EVD importation and spread into Uganda. Lessons learned from this process will inform strategies to strengthen public health emergency systems in their response to public health events in similar settings.

Intervention To Stop Transmission of Imported Pneumonic Plague - Uganda, 2019.

Plague, an acute zoonosis caused by Yersinia pestis, is endemic in the West Nile region of northwestern Uganda and neighboring northeastern Democratic Republic of the Congo (DRC) (1-4). The illness manifests in multiple clinical forms, including bubonic and pneumonic plague. Pneumonic plague is rare, rapidly fatal, and transmissible from person to person via respiratory droplets. On March 4, 2019, a patient with suspected pneumonic plague was hospitalized in West Nile, Uganda, 4 days after caring for her sister, who had come to Uganda from DRC and died shortly thereafter, and 2 days after area officials received a message from a clinic in DRC warning of possible plague. The West Nile-based Uganda Virus Research Institute (UVRI) plague program, together with local health officials, commenced a multipronged response to suspected person-to-person transmission of pneumonic plague, including contact tracing, prophylaxis, and education. Plague was laboratory-confirmed, and no additional transmission occurred in Uganda. This event transpired in the context of heightened awareness of cross-border disease spread caused by ongoing Ebola virus disease transmission in DRC, approximately 400 km to the south. Building expertise in areas of plague endemicity can provide the rapid detection and effective response needed to mitigate epidemic spread and minimize mortality. Cross-border agreements can improve ability to respond effectively.

Serosurvey on healthcare personnel caring for patients with Ebola virus disease and Lassa virus in the United States.

Healthcare personnel (HCP) were recruited to provide serum samples, which were tested for antibodies against Ebola or Lassa virus to evaluate for asymptomatic seroconversion. From 2014 to 2016, 4 patients with Ebola virus disease (EVD) and 1 patient with Lassa fever (LF) were treated in the Serious Communicable Diseases Unit (SCDU) at Emory University Hospital. Strict infection control and clinical biosafety practices were implemented to prevent nosocomial transmission of EVD or LF to HCP. All personnel who entered the SCDU who were required to measure their temperatures and complete a symptom questionnaire twice daily were eligible. No employee developed symptomatic EVD or LF. EVD and LF antibody studies were performed on sera samples from 42 HCP. The 6 participants who had received investigational vaccination with a chimpanzee adenovirus type 3 vectored Ebola glycoprotein vaccine had high antibody titers to Ebola glycoprotein, but none had a response to Ebola nucleoprotein or VP40, or a response to LF antigens. Patients infected with filoviruses and arenaviruses can be managed successfully without causing occupation-related symptomatic or asymptomatic infections. Meticulous attention to infection control and clinical biosafety practices by highly motivated, trained staff is critical to the safe care of patients with an infection from a special pathogen.

Ebola in the Eastern Democratic Republic of Congo: One Health approach to infectious disease control

The Democratic Republic of Congo (DRC) is facing its tenth outbreak of Ebola virus disease (EVD), in North-Kivu and Ituri provinces. This is the second most deadly EVD outbreak in history, after the one that occurred in West Africa in 2014. The DRC Ministry of Health (MoH), supported by the World Health Organization (WHO) and a range of regional and international partners, are implementing EVD response plans in these affected areas such as screening of suspect cases at points of entry, case detection, contact tracing, laboratory testing, case management and infection prevention and control, safe and dignified burials, ring vaccination (this involves vaccination of infected individuals, direct contacts of infected individuals and contacts of their contacts), and therapeutics, community mobilization and free access to healthcare services. Despite these efforts, there has been a sharp rise in the number of confirmed cases within the identified affected areas, and due to a number of challenges unique to DRC, there has been an expansion in the geographical extent of transmission. The significance of the proximity of these regions to wildlife and the Virunga National Park is questionable in the EVD transmission dynamics. The close interaction between human, animal, and environmental factors, in combination with high population movement due to regular rebel attacks in these regions, suggest the need for the integration of the One Health approach in the holistic response plans for control and prevention of EVD. This paper seeks to highlight the implications and importance of a One Health–based approach into the infectious diseases control program implementation in DRC.

Assessment of a health facility based active case finding system for Ebola virus disease in Mbandaka, Democratic Republic of the Congo, June\u2013July 2018

BackgroundThe ninth outbreak of Ebola Virus Disease (EVD) in the Democratic Republic of the Congo occurred in Équateur Province from 8 May-24 July 2018. A system of health facility (HF)-based active case finding (ACF) was implemented in Mbandaka, a regional capital with four confirmed EVD cases, following completion of contact tracing. The goal of this HF-based ACF system was to look for undetected EVD cases among patients that visited HFs beginning one week prior to the system’s implementation.MethodsFrom 23 June – 24 July 2018, ACF teams visited HFs in Mbandaka and reviewed all medical records as far back as 17 June for any consultations meeting the suspected EVD case definition. The teams then assessed whether to validate these as suspected EVD cases based on factors such as recovery, epidemiological links, and their clinical judgement. ACF teams also assessed HFs’ awareness of EVD symptoms and the process for alerting suspected cases. We calculated descriptive statistics regarding the characteristics of reviewed consultations, alert cases, and visited HFs. We also used univariate and multivariate random effects logistic regression models to evaluate the impact of repeated ACF visits to the same HF on the staff’s awareness of EVD.ResultsACF teams reviewed 37,746 consultations, of which 690 met the definition of a suspected case of EVD. Two were validated as suspected EVD cases and transferred to the Ebola Treatment Unit for testing; both tested negative. Repeated ACF visits to the same HF were significantly associated with improved EVD awareness (p < 0.001) in univariate and multivariate analyses.ConclusionHF-based ACF during EVD outbreaks may improve EVD awareness and reveal many individuals meeting the suspected case definition. However, many who meet this definition may not have EVD, depending on the population size covered by ACF and amount of ongoing EVD transmission. Given the burdensome procedure of testing suspected EVD cases, future HF-based ACF systems would benefit from improved clarity on which patients require further testing.

The socio-economic distribution of exposure to Ebola: Survey evidence from Liberia and Sierra Leone.

Socio-economic factors are widely believed to have been an important driver of the transmission of Ebola Virus Disease (EVD) during the West African outbreak of 2014–16, however, studies that have investigated the relationship between socio-economic status (SES) and EVD have found inconsistent results. Using nationally representative household survey data on whether respondents knew a close friend or family member with Ebola, we explore the SES determinants of EVD exposure along individual, household, and community lines in Liberia and Sierra Leone. While we find no overall association between household wealth and EVD exposure, we find that pooled data mask important differences observed within countries with higher wealth households more likely to have been exposed to EVD in Sierra Leone and the opposite relationship in Liberia. Finally, we also generally find a positive association between education and EVD exposure both at the individual and the community levels in the full sample. There is an urgent need to better understand these relationships to examine both why the outbreak spread and to help prepare for future outbreaks.

Social resistance drives persistent transmission of Ebola virus disease in Eastern Democratic Republic of Congo: A mixed-methods study

BackgroundThe second largest Ebola virus disease (EVD) epidemic in history is currently raging in Eastern Democratic Republic of Congo (DRC). Stubbornly persistent EVD transmission has been associated with social resistance, ranging from passive non-compliance to overt acts of aggression toward EVD reponse teams.MethodsWe explored community resistance using focus group discussions and assessed the prevalence of resistant views using standardized questionnaires.ResultsDespite being generally cooperative and appreciative of the EVD response (led by the government of DRC with support from the international community), focus group participants provided eyewitness accounts of aggressive resistance to control efforts, consistent with recent media reports. Mistrust of EVD response teams was fueled by perceived inadequacies of the response effort (“herd medicine”), suspicion of mercenary motives, and violation of cultural burial mores (“makeshift plastic morgue”). Survey questionnaires found that the majority of respondents had compliant attitudes with respect to EVD control. Nonetheless, 78/630 (12%) respondents believed that EVD was fabricated and did not exist in the area, 482/630 (72%) were dissatisfied with or mistrustful of the EVD response, and 60/630 (9%) sympathized with perpetrators of overt hostility. Furthermore, 102/630 (15%) expressed non-compliant intentions in the case of EVD illness or death in a family member, including hiding from the health authorities, touching the body, or refusing to welcome an official burial team. Denial of the biomedical discourse and dissatisfaction/mistrust of the EVD response were statistically significantly associated with indicators of social resistance.ConclusionsWe concluded that social resistance to EVD control efforts was prevalent among focus group and survey participants. Mistrust, with deep political and historical roots in this area besieged by chronic violence and neglected by the outside world, may fuel social resistance. Resistant attitudes may be refractory to short-lived community engagement efforts targeting the epidemic but not the broader humanitarian crisis in Eastern DRC.

Ebola virus outbreak in North Kivu and Ituri provinces, Democratic Republic of Congo, and the potential for further transmission through commercial air travel.

The 2018-2019 Ebola virus disease (EVD) outbreak in North Kivu and Ituri provinces, Democratic Republic of Congo (DRC), continues to spread. The recent discovery of cases in Uganda and in Goma, a major city in the eastern DRC, raises concern for potential EVD transmission in distant locales via commercial air travel. We examined air travel patterns from the affected region with itinerary-level data from the International Air Transport Association for the year 2018 between July and October, inclusive. We focused on three scenarios: (i) travel from Beni airport, (ii) travel from Beni, Goma and Bunia airports and (iii) travel from Beni, Goma and Bunia, and Kigali airports. We evaluated country-level Infectious Disease Vulnerability Index (IDVI) scores for traveller destinations. There were 2255 commercial air passengers departing from Beni Airport during the specified time frame, all with domestic destinations, and 55% of which were to Goma. A total of 29 777 passengers travelled from Beni, Bunia and Goma airports during this time frame, with most travel (94.6%) departing from Goma Airport. A total of 72.4% of passengers' final destination from these three airports were within the DRC, primarily to Kinshasa. There were 166 281 outbound passengers from Beni, Bunia, Goma and Kigali airports with the majority (82.1%) of passengers departing from Kigali. The most frequent destinations from these airports were Nairobi, Kinshasa and Entebbe. Eight of the 10 destinations with greatest passenger volumes are to countries with IDVI scores less than 0.4. There is little commercial airline connectivity from the current EVD-affected area; however, larger cities in DRC and throughout East Africa should be aware of the low potential for EVD importation through this route. Most countries at greatest risk for EVD importation have limited capacity to manage these cases.

Knowledge and perception of the role of water, sanitation and hygiene in containment of Ebola virus disease among secondary school students in Ibadan, Nigeria

Abstract This study assessed the knowledge and perception of the role of water supply, sanitation and hygiene (WASH) in the containment of Ebola virus disease (EVD) among secondary school students in Ibadan, Nigeria. A cross-sectional study of 420 students from eight schools (public and private) in Ibadan was conducted. A semi-structured questionnaire and an observational checklist were used to collect data. Data were analysed using descriptive statistics, Chi-square test and logistic regression at 5% level of significance. Overall, 60% reported EVD was airborne. A majority (71%) of the respondents had good knowledge of EVD, while a majority (92%) had a good perception of the role of WASH in EVD containment. Class of respondents was significantly (p = 0.045) associated with knowledge of WASH. Although schools had satisfactory sanitary facilities, only a few (21%) sustained good hygiene practices at the end of the Ebola outbreak in Nigeria. Our findings revealed suboptimal knowledge on transmission of EVD, and unsustainable hygiene practices among secondary students post-Nigeria's EVD outbreak. High priority should be given to hygiene education among educators and students. Implementation of monitoring and evaluation of hygiene behaviour among secondary school students should also be a priority.

Estimating the impact of violent events on transmission in Ebola virus disease outbreak, Democratic Republic of the Congo, 2018–2019

IntroductionAs of April 2019, the current Ebola virus disease (EVD) outbreak in the Democratic Republic of the Congo (DRC) is occurring in a longstanding conflict zone and has become the second largest EVD outbreak in history. It is suspected that after violent events occur, EVD transmission will increase; however, empirical studies to understand the impact of violence on transmission are lacking. Here, we use spatial and temporal trends of EVD case counts to compare transmission rates between health zones that have versus have not experienced recent violent events during the outbreak. MethodsWe collected daily EVD case counts from DRC Ministry of Health. A time-varying indicator of recent violence in each health zone was derived from events documented in the WHO situation reports. We used the Wallinga-Teunis technique to estimate the reproduction number R for each case by day per zone in the 2018–2019 outbreak. We fit an exponentially decaying curve to estimates of R overall and by health zone, for comparison to past outbreaks. ResultsAs of 16 April 2019, the mean overall R for the entire outbreak was 1.11. We found evidence of an increase in the estimated transmission rates in health zones with recently reported violent events versus those without (p = 0.008). The average R was estimated as between 0.61 and 0.86 in regions not affected by recent violent events, and between 1.01 and 1.07 in zones affected by violent events within the last 21 days, leading to an increase in R between 0.17 and 0.53. Within zones with recent violent events, the mean estimated quenching rate was lower than for all past outbreaks except the 2013–2016 West African outbreak. ConclusionThe difference in the estimated transmission rates between zones affected by recent violent events suggests that violent events are contributing to increased transmission and the ongoing nature of this outbreak.

Estimating undetected Ebola spillovers

The preparedness of health systems to detect, treat, and prevent onward transmission of Ebola virus disease (EVD) is central to mitigating future outbreaks. Early detection of outbreaks is critical to timely response, but estimating detection rates is difficult because unreported spillover events and outbreaks do not generate data. Using three independent datasets available on the distributions of secondary infections during EVD outbreaks across West Africa, in a single district (Western Area) of Sierra Leone, and in the city of Conakry, Guinea, we simulated realistic outbreak size distributions and compared them to reported outbreak sizes. These three empirical distributions lead to estimates for the proportion of detected spillover events and small outbreaks of 26% (range 8–40%, based on the full outbreak data), 48% (range 39–62%, based on the Sierra Leone data), and 17% (range 11–24%, based on the Guinea data). We conclude that at least half of all spillover events have failed to be reported since EVD was first recognized. We also estimate the probability of detecting outbreaks of different sizes, which is likely less than 10% for single-case spillover events. Comparing models of the observation process also suggests the probability of detecting an outbreak is not simply the cumulative probability of independently detecting any one individual. Rather, we find that any individual’s probability of detection is highly dependent upon the size of the cluster of cases. These findings highlight the importance of primary health care and local case management to detect and contain undetected early stage outbreaks at source.

Ebola Outbreaks in the Democratic Republic of Congo (DRC), 2017-2019

Three genetically-distinct Ebola virus disease (EVD) outbreaks have occurred in the Democratic Republic of Congo (DRC) since May 2017: the 2017 Bas-Uele outbreak, the 2018 Equateur outbreak and the 2018-19 North Kivu outbreak. The latest outbreak, currently ongoing, is the second largest EVD outbreak in history, with 1,617 confirmed cases as of 12 May 2019. New clusters continue to emerge despite unprecedented advances in vaccinations, diagnostics and therapeutics. In this Watching Brief, we review key features of all three outbreaks, evaluate vaccination strategy used and critically examine factors that contribute to the North Kivu outbreak’s persistence. The North Kivu outbreak is characterised by multiple issues that hamper disease control measures, including socio-political barriers (armed conflicts and community resistance) and operational deficiencies (ineffective contact tracing and infection control in health facilities). Evidence also suggests possible sexual transmission of EVD by persistently-infected survivors.

The Differential Impact of Violence on Ebola Virus Disease Transmission: A Mathematical Modeling Study of the 2018-2019 Outbreak in the Democratic Republic of the Congo

Background: Violence can impact Ebola virus disease (EVD) transmission in the current outbreak in the eastern Democratic Republic of the Congo (DRC). We hypothesized that violent events targeted against the Ebola response will be associated with more EVD transmission than untargeted events. Methods: We used a dynamic cohort of individuals who lived in Ebola-affected and unaffected health zones in DRC from April 2018 to August 2019. The time-varying exposure was the number of violent events, as defined by the Armed Conflict Location & Event Project (ACLED) database, that occurred in each health zone over a series of days. These violent events were categorized into vs. Ebola-untargeted, and further sub-categorized by civilians, military or politics, or protests. The outcome variable was the estimated daily reproduction number (Rest) by health zone, which was estimated from daily EVD case counts (from DRC Ministry of Health) by the Wallinga-Teunis method. We fit a linear time-series regression to model the relationship of violent events and R comparing EVD-affected and unaffected health zones. Findings: The average Rest was 1.06 (95% confidence interval [CI]: 1.02-1.11). We found an overall change in R of 0.035 (95% CI: 0.020-0.050) among Ebola-affected compared to unaffected health zones. Violent events targeting the Ebola response were associated with an increase in Rest of 0.098 (95% CI: 0.064-0.132) while untargeted, violent events had a smaller effect (0.022, 95% CI: 0.005-0.038). Additional analyses showed the increase in Rest was primarily driven by Ebola-targeted civilian events and, to a lesser extent, by Ebola-untargeted military, political, or protest events. Interpretation: These findings suggest that civilian acts of violence directly targeted against the Ebola response efforts had the largest impact on EVD transmission. To a lesser extent, untargeted military, political, or protest events also had an impact. Funding Statement: This work was supported by National Institute of Allergy and Infectious Disease (K08 grant number AI139361 to ETR; K23 grant number AI135037 to JDK) and National Institute of General Medical Sciences (R01 grant number GM130900 to TCP, JDK, and ETR). Declaration of Interests: The authors stated: None to declare. Ethics Approval Statement: The authors stated: Data were publicly available and de-identified, so ethics committee approval was not needed.

Implication of Uncertainty and Sensitivity Analysis of Ebola Virus Disease Transmission

Ebola epidemic model threshold value indicates whether the disease will continue to spread in a population or not. However, the accurate value of this threshold is influenced by uncertainty in its parameters’ values which are marred by parameter estimation errors due to procedure, errors in data collection and underlying model assumptions. Understanding the implication of changes in parameters values is necessary in order to guide outbreak control decision. Next generation matrix approach was used to determine the basic reproduction number of SVEQHIFR Ebola epidemic model. In assessing the influence, direction, and strength of relationship parameters to Ebola basic reproduction number, 1000 simulations run for LHS/PRCC procedure was used. Positive or negative sensitivity indices of the threshold value to parameter changes indicate that control measure should be intensified in reversing or enhancing these indices. This information can gauge implementation of interventions strategies in the attempt to decelerate Ebola disease transmission.

Ebola outbreak in Nigeria: perceptions from commercial motorcyclists and passengers in Ibadan, Nigeria.

The outbreak of deadliest and most widespread Ebola virus disease (EVD) in West African countries was not only unexpected but also sudden in places like Nigeria. The epidemic was an indication of weak health systems characterised by inadequate precautions and low knowledge of containment. Although Nigeria was able to contain EVD much earlier, people's perception, which also influenced their responses, might enhance the spread and retard containment. This study utilized 25 in-depth interviews conducted with commercial motorcycle-taxi (Okada) riders in key locations in Ibadan, Oyo state, to document their perception about EVD outbreak. Series of sociocultural practices such as handshaking, hugging and embracement identified were favourable to transmission of EVD and affected containment. Regular handwashing was difficult and not cost-effective to practice. The perceived trust in God's intervention could make treatment seeking and prevention slower to achieve. The potential of sociocultural practices, such as handshaking and hugging, as driver for transmission of EVD may influence the perception of motorcycle-taxi riders in the prevention and containment activities in Nigeria. Hence, understanding people's perception on handwashing practices, hugging and butchering of bushmeat should be given priority in designing programmes of EVD prevention and control in Nigeria.

Health Services and Infrastructure Recovery of a Major Public Hospital in Liberia During the 2014-2016 Ebola Epidemic.

During the 2014-2016 Ebola outbreak, health services in Liberia collapsed. Health care facilities could not support effective infection prevention and control (IPC) practices to prevent Ebola virus disease (EVD) transmission necessitating their closure. This report describes the process by which health services and infrastructure were recovered in the public hospital in Monrovia, Liberia. The authors conducted an assessment of the existing capacity for health care provision, including qualitative interviews with community members, record reviews in Ebola treatment units, and phone calls to health facilities. Assessment information was used to determine necessary actions to re-establish services, including building and environmental renovations, acquiring IPC supplies, changing health care practices, hiring additional staff, developing and using an EVD screening tool, and implementing psychosocial supports. On-site monitoring was continued for 2 years to assess what changes were sustained. Described in the report are 2 cases that highlight the challenge of safely re-establishing services with only a symptom-based screening tool and no laboratory tests available on-site. Despite fears among the public, health workers, and the international community, the actions taken enabled basic health care services to be provided during EVD transmission and led to sustainable improvements. This experience suggests that providing routine medical needs helps limit the morbidity and mortality during times of disease outbreak. (Disaster Med Public Health Preparedness. 2018;13:767-773).

Self-contamination during doffing of personal protective equipment by healthcare workers to prevent Ebola transmission

BackgroundHealthcare workers (HCWs) use personal protective equipment (PPE) in Ebola virus disease (EVD) situations. However, preventing the contamination of HCWs and the environment during PPE removal crucially requires improved strategies. This study aimed to compare the efficacy of three PPE ensembles, namely, Hospital Authority (HA) Standard Ebola PPE set (PPE1), Dupont Tyvek Model, style 1422A (PPE2), and HA isolation gown for routine patient care and performing aerosol-generating procedures (PPE3) to prevent EVD transmission by measuring the degree of contamination of HCWs and the environment.MethodsA total of 59 participants randomly performed PPE donning and doffing. The trial consisted of PPE donning, applying fluorescent solution on the PPE surface, PPE doffing of participants, and estimation of the degree of contamination as indicated by the number of fluorescent stains on the working clothes and environment. Protocol deviations during PPE donning and doffing were monitored.ResultsPPE2 and PPE3 presented higher contamination risks than PPE1. Environmental contaminations such as those originating from rubbish bin covers, chairs, faucets, and sinks were detected. Procedure deviations were observed during PPE donning and doffing, with PPE1 presenting the lowest overall deviation rate (%) among the three PPE ensembles (p < 0.05).ConclusionContamination of the subjects’ working clothes and surrounding environment occurred frequently during PPE doffing. Procedure deviations were observed during PPE donning and doffing. Although PPE1 presented a lower contamination risk than PPE2 and PPE3 during doffing and protocol deviations, the design of PPE1 can still be further improved. Future directions should focus on designing a high-coverage-area PPE with simple ergonomic features and on evaluating the doffing procedure to minimise the risk of recontamination. Regular training for users should be emphasised to minimise protocol deviations, and in turn, guarantee the best protection to HCWs.