Ebola Outbreak Response; Experience and Development of Screening Tools for Viral Haemorrhagic Fever (VHF) in a HIV Center of Excellence Near to VHF Epicentres

Introduction

There have been 3 outbreaks of viral hemorrhagic fever (VHF) in Uganda in the last 2 years. VHF often starts with non-specific symptoms prior to the onset of haemorrhagic signs. HIV clinics in VHF outbreak countries such as Uganda see large numbers of patients with HIV 1/2 infection presenting with non-specific symptoms every day. Whilst there are good screening tools for general health care facilities expecting VHF suspects, we were unable to find tools for use in HIV or other non-acute clinics.

Methods

We designed tools to help with communication to staff, infection control and screening of HIV patients with non-specific symptoms in a large HIV clinic during the outbreaks in Uganda. We describe our experiences in using these tools in 2 Ebola Virus Disease outbreaks in Uganda.

Results

During the Ebola Virus Disease (EVD) outbreaks, enhanced infection control and communication procedures were implemented within 24 hours of the WHO/Ministry of Health announcement of the outbreaks. During course of these outbreaks the clinic saw 12,544 patients with HIV 1/2 infection, of whom 3,713 attended without an appointment, suggesting new symptoms. Of these 4 were considered at risk of EVD and seen with full infection procedures; 3 were sent home after further investigation. One patient was referred to the National Referral Hospital VHF unit, but discharged on the same day. One additional VHF suspect was identified outside of a VHF outbreak; he was transferred to the National Referral Hospital and placed in isolation within 2 hours of arriving at the HIV clinic.

Discussion

Use of simple screening tools can be helpful in managing large numbers of symptomatic patients attending for routine and non-routine medical care (including HIV care) within a country experiencing a VHF outbreak, and can raise medical staff awareness of VHF outside of the epidemics.     

Serological and epidemiological characteristics of acute pneumonias caused by Mycoplasma pneumoniae in Belgorod

The etiology of the outbreaks of acute pneumonia in Belgorod was established and their epidemiological features were studied. The mycoplasmal etiology of all cases of acute pneumonia in children and adults, appearing alongside acute respiratory infections resulting from the preceding outbreaks caused by influenza viruses A/Prague/, B/Leningrad/369/75, and all types of parainfluenza viruses, was shown. The droplet mechanism of the transfer of infection was established, which was confirmed by the severity of the outbreak and a high rate of infection of the medical staff at hospitals for children and adults, where patients with mycoplasma-induced pneumonia were treated.     

Measures to prevent outbreaks of hospital infections

On the basis of the analysis of 69 outbreaks of hospital infections registered in the USSR in 1986-1989, as well as additional observations made by the authors, a number of factors which determined the present state of the problems concerning this kind of morbidity in the USSR were established: an insufficient level (in cases of enteric infections) or a low level (in cases of purulent septic infections) of etiological diagnosis; poor efficiency of the epidemiological investigation of outbreaks; defects in the work on the prophylactic detection of potential sources of infection among medical staff, parturient women or mothers taking care of their infants. Some possible solutions on these aspects were proposed. Cases of outbreaks of hospital infections among newborns were used as an example demonstrating that such outbreaks were caused mainly by breaches of antiepidemic and sanitary rules in respective hospitals; thus, in one-third of the cases of outbreaks such breaches were observed in maternity clinics with insufficient material and technical equipment. The prevention of these breaches is considered to be the main road to the solution of the whole problem of the prevention of epidemic outbreaks in hospitals.     

Integrating data mining and transmission theory in the ecology of infectious diseases

Our understanding of ecological processes is built on patterns inferred from data. Applying modern analytical tools such as machine learning to increasingly high dimensional data offers the potential to expand our perspectives on these processes, shedding new light on complex ecological phenomena such as pathogen transmission in wild populations. Here, we propose a novel approach that combines data mining with theoretical models of disease dynamics. Using rodents as an example, we incorporate statistical differences in the life history features of zoonotic reservoir hosts into pathogen transmission models, enabling us to bound the range of dynamical phenomena associated with hosts, based on their traits. We then test for associations between equilibrium prevalence, a key epidemiological metric and data on human outbreaks of rodent‐borne zoonoses, identifying matches between empirical evidence and theoretical predictions of transmission dynamics. We show how this framework can be generalized to other systems through a rubric of disease models and parameters that can be derived from empirical data. By linking life history components directly to their effects on disease dynamics, our mining‐modelling approach integrates machine learning and theoretical models to explore mechanisms in the macroecology of pathogen transmission and their consequences for spillover infection to humans.     

Oxygen restriction increases the infective potential of <Emphasis Type="Italic">Listeria monocytogenes in vitro</Emphasis> in Caco-2 cells and <Emphasis Type="Italic">in vivo</Emphasis> in guinea pigs

Background  

Listeria monocytogenes has been implicated in several food borne outbreaks as well as sporadic cases of disease. Increased understanding of the biology of this organism is important in the prevention of food borne listeriosis.     

Outbreaks of salmonella infection in hospitals in England and Wales 1978-87.

A total of 248 outbreaks of salmonella infection in hospital affecting over 3000 patients and 110 associated deaths were ascertained in England and Wales in 1978-87, compared with 522 outbreaks of salmonella in 1968-77. The largest reduction was found in outbreaks from children''s units and maternity units. Fifty seven (24%) outbreaks were considered to be due to foodborne salmonellosis, and 70 (30%) were reported as person to person spread of the infection. The psychiatric hospital was the type of hospital in which foodborne outbreaks most often occurred, but the risk of being affected in an outbreak not due to food seemed to be highest in maternity units. Better control of infection and better surveillance should lead to earlier investigation and control of outbreaks.     

食源性相关腹泻肠炎沙门菌感染抗菌药物敏感性

目的了解食源性相关腹泻非伤寒沙门菌感染的菌种分布及其对抗菌药物敏感性,为控制该类细菌的感染及传播提供技术支持。方法对2015-2017年本系统2家社区卫生服务中心就诊的食源性相关腹泻患者粪便(或肛拭子)标本采用直接分离与增菌分离相结合的方法常规培养分离获得42株沙门菌;采用血清凝集法进行快速血清分型,并进行自动化生化鉴定及抗菌药物敏感性试验;通过现况调查进行流行病学危险因素分析。结果自动化生化鉴定结果能够覆盖常规血清学快速鉴定结果,同属沙门菌群;42株沙门菌以肠炎沙门菌、鼠伤寒沙门菌和斯坦利沙门菌为主,其中肠炎沙门菌占全部菌株的23.81%,鼠伤寒沙门菌占19.06%,斯坦利沙门菌占14.29%;其中肠炎沙门菌可对氟喹诺酮类、三四代头孢菌素类与碳青霉烯类等敏感(敏感率可达97.00%以上),而对氨基糖苷类可产生双向耐药。通过现况调查,发现患者有腹痛、腹泻等胃肠道症状,可伴有发热,所有患者48h内有可疑食物暴露史,无水源性案例,均为散发。结论菌种鉴定应以常规快速血清学凝集结果为准,自动化生化鉴定仅供参考,并将鉴定菌种与药敏报告相关联,可根据药敏结果合理选用敏感抗菌药物;应对社区居民开展针对性的健康宣教。     

Characterization of an outbreak of hand, foot, and mouth disease in Nanchang, China in 2010

Recent outbreaks of human enterovirus 71 (EV71) infection and EV71-associated hand, foot, and mouth disease (HFMD) in China have affected millions and potentially lead to life-threatening complications in newborns. Furthermore, these outbreaks represent a significant global public health issue in the world. Understanding the epidemiology of HFMD and EV71 infection and their transmission patterns in China is essential for controlling outbreaks. However, no studies on the outbreaks of HFMD and EV71 infection in China during 2010 have been reported. In this report, we carried out an epidemiological analysis to study an outbreak of HFMD and EV71 infection in 2010 in the city of Nanchang in the Jiangxi province of People's Republic of China. From April 7 to May 11, 2010, a total of 109 HFMD cases were reported, and in this report the HFMD cases were studied by both epidemiological and laboratory analyses. The epidemiological study indicates that children aged younger than 8 years old represented more than 90% of the reported cases, with the age group of 1-3 years containing the highest number of cases. Laboratory studies detected a high prevalence of EV71 amongst the cases in our study, suggesting EV71 as a common enterovirus found in HFMD cases in Nanchang. Phylogenetic analysis of the sequence of the VP1 region of four EV71 isolates indicated that the Nanchang strains belong to the C4 subgenotype commonly found in China during outbreaks in 2008 but contain distinct variations from these strains. Our study for the first time characterizes the epidemiology of HFMD and EV71 infection in China in 2010 and furthermore, provides the first direct evidence of the genotype of EV71 circulating in Nanchang, China. Our study should facilitate the development of public health measures for the control and prevention of HFMD and EV71 infection in at-risk individuals in China.     

An Adjusted Likelihood Ratio Approach Analysing Distribution of Food Products to Assist the Investigation of Foodborne Outbreaks

In order to facilitate foodborne outbreak investigations there is a need to improve the methods for identifying the food products that should be sampled for laboratory analysis. The aim of this study was to examine the applicability of a likelihood ratio approach previously developed on simulated data, to real outbreak data. We used human case and food product distribution data from the Norwegian enterohaemorrhagic Escherichia coli outbreak in 2006. The approach was adjusted to include time, space smoothing and to handle missing or misclassified information. The performance of the adjusted likelihood ratio approach on the data originating from the HUS outbreak and control data indicates that the adjusted approach is promising and indicates that the adjusted approach could be a useful tool to assist and facilitate the investigation of food borne outbreaks in the future if good traceability are available and implemented in the distribution chain. However, the approach needs to be further validated on other outbreak data and also including other food products than meat products in order to make a more general conclusion of the applicability of the developed approach.     

Identification and characterization of toxigenic Bacillus cereus isolates responsible for two food-poisoning outbreaks

The epidemiology of Bacillus cereus strains responsible for food poisoning is scantly known, mostly because the genotypic and toxigenic properties of the B. cereus strains isolated during food-poisoning outbreaks have been never catalogued. The occurrence of two simultaneous food-poisoning outbreaks gave us the opportunity to wonder whether (i) the identity of individual strains isolated from clinical, environmental, and food samples could be established by random amplified polymorphic DNA (RAPD)-PCR and multiplex RAPD-PCR, and (ii) the toxigenic potential of the isolates could be determined by testing their ability to secrete hemolysin BL, phosphatidylcholine-specific phospholipase C, and cereulide, as well as by determining the presence of the genes encoding enterotoxins NHE, T, and FM/S, cytotoxin K, sphingomyelinase, and phosphatidylinositol-specific phospholipase C. This is the first report demonstrating that the combination of several phenotypic and genotypic traits provides a powerful tool for tracing the source of infection of toxigenic B. cereus strains relevant for epidemiological survey.     

Foodborne viruses

Foodborne and waterborne viral infections are increasingly recognized as causes of illness in humans. This increase is partly explained by changes in food processing and consumption patterns that lead to the worldwide availability of high-risk food. As a result, vast outbreaks may occur due to contamination of food by a single foodhandler or at a single source. Although there are numerous fecal-orally transmitted viruses, most reports of foodborne transmission describe infections with Norwalk-like caliciviruses (NLV) and hepatitis A virus (HAV), suggesting that these viruses are associated with the greatest risk of foodborne transmission. NLV and HAV can be transmitted from person to person, or indirectly via food, water, or fomites contaminated with virus-containing feces or vomit. People can be infected without showing symptoms. The high frequency of secondary cases of NLV illness and - to a lesser extent - of hepatitis A following a foodborne outbreak results in amplification of the problem. The burden of illness is highest in the elderly, and therefore is likely to increase due to the aging population. For HAV, the burden of illness may increase following hygienic control measures, due to a decreasing population of naturally immune individuals and a concurrent increase in the population at risk. Recent advances in the research of NLV and HAV have led to the development of molecular methods which can be used for molecular tracing of virus strains. These methods can be and have been used for the detection of common source outbreaks. While traditionally certain foods have been implicated in virus outbreaks, it is clear that almost any food item can be involved, provided it has been handled by an infected person. There are no established methods for detection of viruses in foods other than shellfish. Little information is available on disinfection and preventive measures specifically for these viruses. Studies addressing this issue are hampered by the lack of culture systems. As currently available routine monitoring systems exclusively focus on bacterial pathogens, efforts should be made to combine epidemiological and virological information for a combined laboratory-based rapid detection system for foodborne viruses. With better surveillance, including typing information, outbreaks of foodborne infections could be reported faster to prevent further spread.     

Early onset of neurological features differentiates two outbreaks of Lassa fever in Ebonyi state,Nigeria during 2017–2018

Lassa fever (LF) is an acute viral haemorrhagic illness with various non-specific clinical manifestations. Neurological symptoms are rare at the early stage of the disease, but may be seen in late stages, in severely ill patients.The aim of this study was to describe the epidemiological evolution, socio-demographic profiles, clinical characteristics, and outcomes of patients seen during two Lassa fever outbreaks in Ebonyi State, between December 2017 and December 2018.Routinely collected clinical data from all patients admitted to the Virology Centre of the hospital during the period were analysed retrospectively. Out of a total of 83 cases, 70(84.3%) were RT-PCR confirmed while 13 (15.7%) were probable cases. Sixty-nine (83.1%) patients were seen in outbreak 1 of whom 53.6% were urban residents, while 19%, 15%, and 10% were farmers, students and health workers respectively. There were 14 (16.8%) patients, seen in second outbreak with 92.9% rural residents. There were differences in clinical symptoms, signs and laboratory findings between the two outbreaks. The case fatality rates were 29.9% in outbreak 1 and 85.7% for outbreak 2. Neurological features and abnormal laboratory test results were associated with higher mortality rate, seen in outbreak 2. This study revealed significant differences between the two outbreaks. Of particular concern was the higher case fatality during the outbreak 2 which may be from a more virulent strain of the Lassa virus. This has important public health implications and further molecular studies are needed to better define its characteristics.     

Tick‐borne viruses: Current trends in large‐scale viral surveillance

Ticks are ectoparasites that transmit pathogens, such as tick‐borne viruses, to their hosts. Tick‐borne viruses are diverse: they can be categorized into two orders, nine families, and at least 12 genera. Almost 25% of these viruses are infectious to humans and some are a serious threat to public health. The global rise in tick‐borne virus diseases has been linked to climate change which has reduced tick mortality in the winter and extended their active period. The spread of tick‐borne viral diseases to humans has received significant interest due to the increased threat to human life; epidemiological monitoring of tick‐borne viruses using molecular, immunological, and environmental methods is now a priority. Nevertheless, many tick‐borne diseases remain undiagnosed, which poses a challenge to public administration and health care officials. This review discusses three major tick‐borne RNA viruses that cause serious infection in humans: severe fever with thrombocytopenia syndrome (SFTS) virus, tick‐borne encephalitis (TBE), and Crimean–Congo hemorrhagic fever (CCHF) virus. Specifically, we discuss the epidemiological monitoring, vector control measures, molecular diagnostics, vaccines, and environmental determinants related to these viruses. Furthermore, we review the current surveillance of these tick‐borne viruses with a specific focus on diagnostic approaches that employ molecular interventions such as viral nucleic acid isolation, PCR‐based diagnostics, and high‐throughput sequencing technologies.     

Curiosities of the methicillin-resistant Staphylococcus aureus survey - possibility of pseudo-outbreak and transmission to household contacts

Methicillin-resistant Staphylococcus aureus (MRSA) is currently one of the most prevalent antibiotic-resistant pathogens in hospitals, but it is also emerging as a community-acquired pathogen. We analysed the clinical and microbiological data of the patients in a county teaching hospital regarding MRSA. During the examination period (1996-2010), four outbreaks and one pseudo-outbreak occurred. It also became evident that health care workers and their families are possibly at risk of becoming carriers of MRSA. The importance of the molecular epidemiological investigation (pulsed-field gel-electrophoresis (PFGE)) typing and hygienic measures in order to detect and control MRSA outbreaks must be emphasised. Following infection control guidelines seems to be cost-effective method of controlling the nosocomial transmission of MRSA.     

Key Role of Sequencing to Trace Hepatitis A Viruses Circulating in Italy During a Large Multi-Country European Foodborne Outbreak in 2013

Background

Foodborne Hepatitis A Virus (HAV) outbreaks are being recognized as an emerging public health problem in industrialized countries. In 2013 three foodborne HAV outbreaks occurred in Europe and one in USA. During the largest of the three European outbreaks, most cases occurred in Italy (>1,200 cases as of March 31, 2014). A national Task Force was established at the beginning of the outbreak by the Ministry of Health. Mixed frozen berries were early demonstrated to be the source of infection by the identity of viral sequences in patients and in food. In the present study the molecular characterization of HAV isolates from 355 Italian cases is reported.

Methods

Molecular characterization was carried out by PCR/sequencing (VP1/2A region), comparison with reference strains and phylogenetic analysis.

Results

A unique strain was responsible for most characterized cases (235/355, 66.1%). Molecular data had a key role in tracing this outbreak, allowing 110 out of the 235 outbreak cases (46.8%) to be recognized in absence of any other link. The data also showed background circulation of further unrelated strains, both autochthonous and travel related, whose sequence comparison highlighted minor outbreaks and small clusters, most of them unrecognized on the basis of epidemiological data. Phylogenetic analysis showed most isolates from travel related cases clustering with reference strains originating from the same geographical area of travel.

Conclusions

In conclusion, the study documents, in a real outbreak context, the crucial role of molecular analysis in investigating an old but re-emerging pathogen. Improving the molecular knowledge of HAV strains, both autochthonous and circulating in countries from which potentially contaminated foods are imported, will become increasingly important to control outbreaks by supporting trace back activities, aiming to identify the geographical source(s) of contaminated food, as well as public health interventions.     

A Foodborne Outbreak of Gastroenteritis Caused by Vibrio parahaemolyticus and Norovirus through Non-Seafood Vehicle

Foodborne outbreaks caused by a mixed infection of Vibrio parahaemolyticus and norovirus have rarely been described. We reported a mixed outbreak of Vibrio parahaemolyticus and norovirus causing acute gastroenteritis in 99 staff members of a company in Guangdong, China, in May 2013, following consumption of roasted duck, an uncommon non-seafood vehicle for such mixed infection, in one meal served in the company''s catering service. Epidemiological and laboratory findings indicated that a single asymptomatic food handler was the source of both pathogens, and the high rate of infection of both pathogens was exacerbated by the setting’s suboptimal food hygiene practice.     

Hospital outbreak of trimethoprim resistance in pathogenic coliform bacteria.

In an investigation of outbreak of infection caused by coliform bacilli with plasmid-mediated trimethoprim (TMP) resistance many patients were found to be asymptomatic carriers of TMP-resistant coliform bacilli. Analysis of factors predisposing to rectal carriage of these organisms showed that the most important was previous treatment with co-trimoxazole, a sulphonamide, or ampicillin. The outbreak was controlled by a policy restricting the antibiotics given. Geriatric units are an important source of hospital infection. When an outbreak occurs the logical sequence of steps to be taken is to monitor cases, identify the outbreaks, analyse the causative factors, plan corrective action jointly with laboratory staff, and monitor the outcome.     

Molecular Epidemiology of Brucella abortus in Northern Ireland—1991 to 2012

Background

Brucellosis is the most common bacterial zoonoses worldwide. Bovine brucellosis caused by Brucella abortus has far reaching animal health and economic impacts at both the local and national levels. Alongside traditional veterinary epidemiology, the use of molecular typing has recently been applied to inform on bacterial population structure and identify epidemiologically-linked cases of infection. Multi-locus variable number tandem repeat VNTR analysis (MLVA) was used to investigate the molecular epidemiology of a well-characterised Brucella abortus epidemic in Northern Ireland involving 387 herds between 1991 and 2012.

Results

MLVA identified 98 unique B. abortus genotypes from disclosing isolates in the 387 herds involved in the epidemic. Clustering algorithms revealed the relatedness of many of these genotypes. Combined with epidemiological information on chronology of infection and geographic location, these genotype data helped to identify 7 clonal complexes which underpinned the outbreak over the defined period. Hyper-variability of some VNTR loci both within herds and individual animals led to detection of multiple genotypes associated with single outbreaks. However with dense sampling, these genotypes could still be associated with specific clonal complexes thereby permitting inference of epidemiological links. MLVA- based epidemiological monitoring data were congruent with an independent classical veterinary epidemiology study carried out in the same territory.

Conclusions

MLVA is a useful tool in ongoing disease surveillance of B. abortus outbreaks, especially when combined with accurate epidemiological information on disease tracings, geographical clustering of cases and chronology of infection.     

Identifying the Environmental Conditions Favouring West Nile Virus Outbreaks in Europe

West Nile Virus (WNV) is a globally important mosquito borne virus, with significant implications for human and animal health. The emergence and spread of new lineages, and increased pathogenicity, is the cause of escalating public health concern. Pinpointing the environmental conditions that favour WNV circulation and transmission to humans is challenging, due both to the complexity of its biological cycle, and the under-diagnosis and reporting of epidemiological data. Here, we used remote sensing and GIS to enable collation of multiple types of environmental data over a continental spatial scale, in order to model annual West Nile Fever (WNF) incidence across Europe and neighbouring countries. Multi-model selection and inference were used to gain a consensus from multiple linear mixed models. Climate and landscape were key predictors of WNF outbreaks (specifically, high precipitation in late winter/early spring, high summer temperatures, summer drought, occurrence of irrigated croplands and highly fragmented forests). Identification of the environmental conditions associated with WNF outbreaks is key to enabling public health bodies to properly focus surveillance and mitigation of West Nile virus impact, but more work needs to be done to enable accurate predictions of WNF risk.