Household Outbreaks Research Articles

Mycobacterium tuberculosis evolution from monoresistance to pre-extensive drug resistance during a prolonged household outbreak

Whole genome sequencing (WGS) is sensitive tool for the analysis of tuberculosis transmission and drug-resistance. We used WGS to analyze the Mycobacterium tuberculosis evolution from isoniazid monoresistance to MDR/preXDR during a prolonged household outbreak. The outbreak started with a isoniazid resistant strain (katG S315T mutation) and evolve in two cases to pre-XDR phenotype (with mutations in katG, rpoB, embB, pncA and gyrA genes). Based on WGS data and epidemiological interview we proposed a possible chain of transmission an evolution of the strains.Similar intra-patient and inter-patient acquisition of variability was observed, making difficult to distinguish reinfection or reactivation. Analysis of WGS data together with epidemiological clinical history are discussed in order to distinguish between prolonged infections or transition from latency to reactivation. Classical interview and clinical history taking should be consider to fully understanding WGS data. With a still low incidence of TB cases, Uruguay could use universal WGS of all isolates to reduce time of diagnosis, detect outbreaks and perform public actions to reduce TB incidence.

Surveillance of household foodborne disease outbreaks in Zhejiang Province, China, 2010–2022

BackgroundFoodborne diseases are a growing public health concern worldwide and households are a common setting. This study aimed to explore the epidemiological characteristics of household foodborne disease outbreaks in Zhejiang Province and propose targeted prevention and control measures. MethodsDescriptive statistical methods were used to analyze household foodborne disease outbreak data collected from the Foodborne Disease Outbreaks Surveillance System in Zhejiang Province from 2010 to 2022. ResultsHousehold foodborne disease outbreaks showed an upward trend during the study period (Cox-Staurt trend test, p = 0.01563 < 0.05). These outbreaks mainly occurred from June to September, with 62.08% (352/567) of all reported outbreaks. The number of reported outbreaks varied in 11 prefectures, with a maximum of 100 and a minimum of only 7. Household foodborne disease outbreaks had a wide spectrum of etiologic factors. Mushroom toxins accounted for the largest proportion of all etiologies (43.39 %) and caused the highest proportion of hospitalization (54.18%) and death (78.26%). Such outbreaks are caused by accidently eating wild poisonous mushrooms. Bacterial infection (16.23%) was the second most common etiology, with Salmonella spp. and Vibrio parahaemolyticus being the primary pathogens. These outbreaks were caused by improper storage, improper processing or a combination of factors, and the foods involved were mainly aquatic animals, eggs and cooked meat. Other identified etiologies included plant toxins (9.52%), chemicals (7.23%), animal toxins (3.70%), and viruses (1.76%). Among the above-mentioned etiologies, mushroom toxins, bacteria, and animal toxins had seasonal characteristics. Analysis of regions and etiologies revealed that the proportion of various etiologies was different in 11 prefectures. Wild mushrooms (43.39%), aquatic animals (9.88%), and toxic plants (8.47%) were the top three foods involved in these outbreaks. The most common factors contributing to household foodborne disease outbreaks were inedibility and misuse (59.08%), followed by multiple factors (7.58%), improper storage (7.41%), and improper processing (7.41%). ConclusionsHousehold foodborne disease outbreaks were closely related to the lack of knowledge regarding foodborne disease prevention. Therefore, public health agencies should strengthen residents’ surveillance and health education to improve food safety awareness and effectively reduce foodborne diseases in households. In addition, timely publicity and early warning by relevant government departments, the introduction of standards to control the contamination of pathogenic bacteria in raw materials, and strengthened supervision of the sale of substances that may cause health hazards, such as poisonous mushrooms and nitrites, will also help reduce such outbreaks.

Attribution Analysis of Household Foodborne Disease Outbreaks in China, 2010-2020.

Foodborne diseases have become a serious public health problem worldwide, and foodborne disease outbreaks have placed a heavy disease burden on China. Foodborne disease outbreaks occur most frequently among families in China. The objectives of this study were to analyze the cause of household foodborne disease outbreaks in China from 2010 to 2020 and to identify where preventive measures could be targeted. All data were obtained from the China Foodborne Disease Surveillance System Report. A total of 17,985 outbreaks, which resulted in 73,252 illnesses, 38,829 hospitalizations, and 1269 deaths, were reported in this period. Most household outbreaks of foodborne diseases occurred in May-October, and the highest number occurred in July (3620 outbreaks, 20%). The province with the highest number of outbreaks was Yunnan Province (4829 outbreaks), followed by Hunan Province (2264 outbreaks). The attribution analysis revealed that fungi (mainly poisonous mushrooms) were the most implicated food category, with 8873 (49.3%) cases. The second was poisonous plants and their products, with 1552 (8.6%) cases. Fungi were the primary etiologic agent, with 31,125 illnesses, accounting for 42.5% of the incidents. Inedibility and misuse (9423 outbreaks), unknown origin (2505 outbreaks), and improper processing (2365 outbreaks) were the main contributing factors causing outbreaks of foodborne diseases. The results show that southwest China was a high-risk area for household foodborne diseases. Therefore, public health institutions should strengthen supervision and food safety education of residents to reduce the outbreaks of household foodborne diseases.

Longitudinal Household Assessment of Respiratory Illness in Children and Parents During the COVID-19 Pandemic

In the early COVID-19 pandemic, SARS-CoV-2 testing was only accessible and recommended for symptomatic persons or adults. This restriction hampered assessment of the true incidence of SARS-CoV-2 infection in children as well as detailed characterization of the SARS-CoV-2 disease spectrum and how this spectrum compared with that of other common respiratory illnesses. To estimate the community incidence of SARS-CoV-2 infection in children and parents and to assess the symptoms and symptom severity of respiratory illness episodes involving SARS-CoV-2-positive test results relative to those with SARS-CoV-2-negative test results. This cohort study randomly selected Dutch households with at least 1 child younger than 18 years. A total of 1209 children and adults from 307 households were prospectively followed up between August 25, 2020, and July 29, 2021, covering the second and third waves of the COVID-19 pandemic. Participation included SARS-CoV-2 screening at 4- to 6-week intervals during the first 23 weeks of participation (core study period; August 25, 2020, to July 29, 2021). Participants in all households finishing the core study before July 1, 2021, were invited to participate in the extended follow-up and to actively report respiratory symptoms using an interactive app until July 1, 2021. At new onset of respiratory symptoms or a SARS-CoV-2 positive test result, a household outbreak study was initiated, which included daily symptom recording, repeated polymerase chain reaction testing (nose-throat swabs and saliva and fecal samples), and SARS-CoV-2 antibody measurement (paired dried blood spots) in all household members. Outbreaks, households, and episodes of respiratory illness were described as positive or negative depending on SARS-CoV-2 test results. Data on participant race and ethnicity were not reported because they were not uniformly collected in the original cohorts and were therefore not representative or informative. SARS-CoV-2-positive and SARS-CoV-2-negative respiratory illness episodes. Age-stratified incidence rates, symptoms, and symptom severity for SARS-CoV-2-positive and SARS-CoV-2-negative respiratory illness episodes. Among 307 households including 1209 participants (638 female [52.8%]; 403 [33.3%] aged <12 years, 179 [14.8%] aged 12-17 years, and 627 [51.9%] aged ≥18 years), 183 household outbreaks of respiratory illness were observed during the core study and extended follow-up period, of which 63 (34.4%) were SARS-CoV-2 positive (59 outbreaks [32.2%] during the core study and 4 outbreaks [2.2%] during follow-up). SARS-CoV-2 incidence was similar across all ages (0.24/person-year [PY]; 95% CI, 0.21-0.28/PY). Overall, 33 of 134 confirmed SARS-CoV-2 episodes (24.6%) were asymptomatic. The incidence of SARS-CoV-2-negative respiratory illness episodes was highest in children younger than 12 years (0.94/PY; 95% CI, 0.89-0.97/PY). When comparing SARS-CoV-2-positive vs SARS-CoV-2-negative respiratory illness episodes in children younger than 12 years, no differences were observed in number of symptoms (median [IQR], 2 [2-4] for both groups), symptom severity (median [IQR] maximum symptom severity score, 6 [4-9] vs 7 [6-13]), or symptom duration (median [IQR], 6 [5-12] days vs 8 [4-13] days). However, among adults, SARS-CoV-2-positive episodes had a significantly higher number (median [IQR], 6 [4-8] vs 3 [2-4]), severity (median [IQR] maximum symptom severity score, 15 [9-19] vs 7 [6-11]), and duration (median [IQR] 13 [8-29] days vs 5 [3-11] days; P < .001 for all comparisons) of symptoms vs SARS-CoV-2-negative episodes. In this cohort study, during the first pandemic year when mostly partial or full in-person learning occurred, the SARS-CoV-2 incidence rate in children was substantially higher than estimated from routine testing or seroprevalence data and was similar to that of adult household members. Unlike in unvaccinated adults, SARS-CoV-2 symptoms and symptom severity in children were similar to other common respiratory illnesses. These findings may prove useful when developing pediatric COVID-19 vaccine recommendations.

SARS-CoV-2 variant B.1.1.7 susceptibility and infectiousness of children and adults deduced from investigations of childcare centre outbreaks, Germany, 2021.

We investigated three SARS-CoV-2 variant B.1.1.7 childcare centre and related household outbreaks. Despite group cohorting, cases occurred in almost all groups, i.e. also among persons without close contact. Children’s secondary attack rates (SAR) were similar to adults (childcare centres: 23% vs 30%; p = 0.15; households: 32% vs 39%; p = 0.27); child- and adult-induced household outbreaks also led to similar SAR. With the advent of B.1.1.7, susceptibility and infectiousness of children and adults seem to converge. Public health measures should be revisited accordingly.

Phylogenetic context of Shiga toxin-producing Escherichia coli serotype O26:H11 in England.

The increasing use of PCR for the detection of gastrointestinal pathogens in hospital laboratories in England has improved the detection of Shiga toxin-producing Escherichia coli (STEC), and the diagnosis of haemolytic uraemic syndrome (HUS). We aimed to analyse the microbiological characteristics and phylogenetic relationships of STEC O26:H11, clonal complex (CC) 29, in England to inform surveillance, and to assess the threat to public health. There were 502 STEC belonging to CC29 isolated between 2014 and 2019, of which 416 were from individual cases. The majority of isolates belonged to one of three major sequence types (STs), ST16 (n=37), ST21 (n=350) and ST29 (n=24). ST16 and ST29 were mainly isolated from cases reporting recent travel abroad. Within ST21, there were three main clades associated with domestic acquisition. All three domestic clades had Shiga toxin subtype gene (stx) profiles associated with causing severe clinical outcomes including STEC-HUS, specifically either stx1a, stx2a or stx1a/stx2a. Isolates from the same patient, same household or same outbreak with an established source for the most part fell within 5-SNP single linkage clusters. There were 19 5-SNP community clusters, of which six were travel-associated and one was an outbreak of 16 cases caused by the consumption of contaminated salad leaves. Of the remaining 12 clusters, 9/12 were either temporally or geographically related or both. Exposure to foodborne STEC O26:H11 ST21 capable of causing severe clinical outcomes, including STEC-HUS, is an emerging risk to public health in England. The lack of comprehensive surveillance of this STEC serotype is a concern, and there is a need to expand the implementation of methods capable of detecting STEC in local hospital settings.

An accidental household outbreak of paliperidone palmitate poisoning via pancake consumption in Lianyungang, China.

IntroductionAt 11:20 on 26 May 2018, a physician from Lianyungang No. 1 People’s Hospital, China, reported that six family members were being treated in the hospital with symptoms from an unknown cause.MethodsA case series for a food poisoning investigation and an environmental survey were conducted. The patients and their relatives were interviewed in person with a questionnaire contained on a digital tablet, and an investigation of the patients’ home was conducted in the presence of police officers. Probable case and confirmed case were defined to serve as a basis for identifying additional cases. Confirmed cases were defined as those probable cases in which blood, stool or vomitus specimens tested positive for paliperidone palmitate and/or its metabolites. A descriptive analysis was performed. Follow-up by telephone was conducted four months later.ResultsThere were six probable cases. The median age was 35 years (range: 5–76 years). The attack rate was 100% (n = 6/6) of persons who consumed a family dinner, and the hospitalization rate was also 100% (n = 6/6). The median period between exposure and symptom onset was two hours. The main symptoms included vomiting, nausea, drowsiness, dizziness and severe abdominal pain for adults, and vomiting and severe lethargy for children. An 8-year-old girl further showed changes in the ST segment of her electrocardiogram, and a 5-year-old boy showed QT prolongation. The poisoning substance was suspected to be paliperidone palmitate based on the patients’ symptoms and epidemiological findings.DiscussionWe investigated the household food poisoning outbreak through epidemiological analysis and an environmental investigation and determined that it was caused by paliperidone palmitate. The source of the paliperidone palmitate was found to be aluminium containers, taken home by the eldest son who worked at a pharmaceutical company. The containers were sent to a drug disposal centre, and the pharmaceutical company was required to enhance the regulation on the pharmaceutical waste materials to prevent drug poisoning events. By the end of September 2018, the six patients recovered and were released from the hospital, and they did not show any clinical sequelae in four follow-up visits.

COVID-19 outbreaks in a transmission control scenario: challenges posed by social and leisure activities, and for workers in vulnerable conditions, Spain, early summer 2020.

Severe acute respiratory syndrome coronavirus 2 community-wide transmission declined in Spain by early May 2020, being replaced by outbreaks and sporadic cases. From mid-June to 2 August, excluding single household outbreaks, 673 outbreaks were notified nationally, 551 active (>6,200 cases) at the time. More than half of these outbreaks and cases coincided with: (i) social (family/friends’ gatherings or leisure venues) and (ii) occupational (mainly involving workers in vulnerable conditions) settings. Control measures were accordingly applied.

Epidemic characteristics of household outbreaks of foodborne diseases in China, 2010 – 2016

Objective To analyze epidemiological characteristics of household foodborne disease outbreaks in China during 2010 – 2016 and to provide references for developing effective prevention and control strategies on foodborne disease outbreaks. Methods We collected national data on household foodborne disease outbreaks reported to China National Foodborne Diseases Surveillance Network from January 1, 2010 through December 31, 2016, and analyzed spatial and temporal distribution, isolated pathogens, related food consumption, and associated factors of the outbreaks. Results During the 7-year period, totally 5 197 household foodborne disease outbreaks were reported, involving 29 210 illnesses and 780 deaths, with a case fatality rate of 2.7%. The reported annual number of the outbreaks increased from 1 873 in 2010 to 7 842 in 2016. More outbreaks were reported during May – October in a year and in Southern China and the provincial level region with the highest number of reported foodborne disease cases was Yunnan province. The most frequently verified etiological factor of the outbreaks was consumption of poisonous mushroom, being attributed to 9 438 cases and 32.3% of all the cases and being the leading cause for the outbreaks from 2014 to 2016, and food contaminated by pathogenic organisms (to 8 277 cases and 28.3% of all the cases and the leading cause for the outbreaks from 2010 to 2013). Salmonella was the most frequently isolated pathogen (3 891 cases, 59.2% of the pathogens identified) for all the outbreaks. The most frequently verified food related to the foodborne disease cases was mushroom (9 592 cases, 32.8% of all the cases), followed by contaminated meat (4 854 cases, 16.6% of all the cases). Of all the foodborne disease cases reported, 7 901 cases (27.0%) were linked to multiple factors and 7 647 cases (26.2%) were induced by eating poisonous food by mistake. Conclusion In China from 2010 to 2016, the incidence of household foodborne disease outbreaks is relatively high during May to October in a year and more outbreaks occurred in southern regions; intake of poisonous mushroom by mistake is a main cause of the reported household foodborne disease outbreaks.

A27 Using whole genome sequence data and minority variant profiles to elucidate transmission patterns during RSV household outbreaks.

A27 Using whole genome sequence data and minority variant profiles to elucidate transmission patterns during RSV household outbreaks.

Epidemiological and microbiological aspects of residential outbreaks of foodborne illness in the Parana State, Brazil

Foodborne illness results in high costs to public health and the food chain production worldwide. The majority of the population is unaware of food safety requirements and consequently, domestic kitchens are sources of contamination and spread of disease. Eating habits and the profile of food handlers in these sites guide the planning of surveillance and public education. This study describes the epidemiological and microbiological aspects of household outbreaks of foodborne illness in the State of Parana, using the Notifiable Diseases Information System database. There were 357 outbreaks between 2008 and 2012 in the State of Parana, and households were the main place of occurrence (43.70%), followed by restaurants and bakeries (21.00%), and kindergartens and schools (11.20 %). Household outbreak records derived from the municipalities for regional health coverage, based in Curitiba, Cascavel, Pato Branco, Foz do Iguaçu and Londrina. These indicated an increased number of reported cases between 2011 and 2012. The increase in reporting reflects a greater awareness among professionals because of training. The results highlight the consumption of contaminated food (36.15%), by strains of coagulase positive Staphylococcus (36.23%). They also reflect an intensification and wholeness of public policies on the education of the population regarding hygiene principles in the acquisition, handling, preparation, storage, and consumption of food in the household.

Characterisation of a household norovirus outbreak occurred in Valencia (Spain).

BackgroundHuman noroviruses (NoVs) are the main cause of non-bacterial gastroenteritis worldwide. Several studies have linked human susceptibility to NoVs with the expression of histo-blood group antigens (HBGAs). In January 2012, a NoV gastroenteritis outbreak affected a household in Valencia, Spain, and the personal susceptibility to NoV was investigated.MethodsTo reach this aim 8 members of the affected household were recruited for this study and their secretor status, ABO and Lewis antigens were determined. NoV-specific saliva IgA and serum IgG antibody titers were analyzed. Their capacity to block viral binding to saliva receptors was analyzed, using virus-like particles (VLPs) of the NoV GII.4 genotype, 2006b variant, and saliva from a secretor O blood type donor.ResultsThe most relevant finding was that an asymptomatic non-secretor individual shed NoVs in his stools. Interestingly, anti-NoV IgA antibody titers in saliva from secretor and non-secretor individuals showed no differences. On the contrary, high titers of NoV-specific IgG antibody were found in both convalescent sera and in sera collected 1 year post-infection, but only from secretor individuals. NoV GII.4-2006b VLP binding to receptors present in the saliva was efficiently blocked only by sera from secretor positive individuals.ConclusionsDespite the small number of individuals involved in this outbreak, this study reinforces the idea that susceptibility to human NoV is both dependent on the HBGA profile of the individuals as well as on the viral genotype and variant. We also show that the immunity to NoV lasts for at least 1 year after infection, demonstrating that symptomatic infections strongly stimulate immune responses.

Evidence of hepatitis A virus person-to-person transmission in household outbreaks.

The person-to-person transmission of the hepatitis A virus primarily occurs in enclosed spaces, particularly in the presence of inadequate hygiene conditions and a high proportion of susceptible individuals. Thus, intimate family contact stands out as a risk factor for HAV infection dissemination. The present study aimed to evaluate the occurrence of household HAV transmission. Blood samples were collected from patients with hepatitis A (index cases) and their family members (contacts) that were referred to an ambulatory care clinic specializing in viral hepatitis. A total of 97 samples were collected from 30 families with a confirmed hepatitis A case (index case). Serological and molecular techniques for the diagnosis of hepatitis A were conducted on all samples. HAV infection (anti-HAV IgM + and/or HAV RNA +) was detected in 34.3% (23/67) of the contacts; 34.3% (23/67) of the contacts were immune to HAV, and 31.4% (21/67) were susceptible. In the household contacts, HAV immunity was significantly associated with older age; susceptibility to infection and HAV infection were associated with younger age. Household outbreaks were detected in 16/30 families studied. Co-circulation of subgenotypes IA and IB was found in the household outbreaks, and person-to-person transmission was evidenced in six of the household outbreaks, with 100% homology between the index case and contact strains. The results demonstrated the relevance of HAV household transmission, reaffirming the need for hepatitis A vaccine administration in susceptible contacts and effective infection control procedures to prevent the extension of household outbreaks.

Whole-genome sequencing to delineate Mycobacterium tuberculosis outbreaks: a retrospective observational study

SummaryBackgroundTuberculosis incidence in the UK has risen in the past decade. Disease control depends on epidemiological data, which can be difficult to obtain. Whole-genome sequencing can detect microevolution within Mycobacterium tuberculosis strains. We aimed to estimate the genetic diversity of related M tuberculosis strains in the UK Midlands and to investigate how this measurement might be used to investigate community outbreaks.MethodsIn a retrospective observational study, we used Illumina technology to sequence M tuberculosis genomes from an archive of frozen cultures. We characterised isolates into four groups: cross-sectional, longitudinal, household, and community. We measured pairwise nucleotide differences within hosts and between hosts in household outbreaks and estimated the rate of change in DNA sequences. We used the findings to interpret network diagrams constructed from 11 community clusters derived from mycobacterial interspersed repetitive-unit–variable-number tandem-repeat data.FindingsWe sequenced 390 separate isolates from 254 patients, including representatives from all five major lineages of M tuberculosis. The estimated rate of change in DNA sequences was 0·5 single nucleotide polymorphisms (SNPs) per genome per year (95% CI 0·3–0·7) in longitudinal isolates from 30 individuals and 25 families. Divergence is rarely higher than five SNPs in 3 years. 109 (96%) of 114 paired isolates from individuals and households differed by five or fewer SNPs. More than five SNPs separated isolates from none of 69 epidemiologically linked patients, two (15%) of 13 possibly linked patients, and 13 (17%) of 75 epidemiologically unlinked patients (three-way comparison exact p<0·0001). Genetic trees and clinical and epidemiological data suggest that super-spreaders were present in two community clusters.InterpretationWhole-genome sequencing can delineate outbreaks of tuberculosis and allows inference about direction of transmission between cases. The technique could identify super-spreaders and predict the existence of undiagnosed cases, potentially leading to early treatment of infectious patients and their contacts.FundingMedical Research Council, Wellcome Trust, National Institute for Health Research, and the Health Protection Agency.

A whole-genome sequencing approach to targeting Mycobacterium tuberculosis outbreak management

BackgroundEpidemiological investigations into Mycobacterium tuberculosis outbreaks use 24-locus genotyping (MIRU-VNTR typing). Where no epidemiological link can be found between patients, the importance of shared genotypes remains unclear. This issue is especially problematic and time-consuming when tracing contacts within some social groups at high tuberculosis risk, in which unwillingness to volunteer information is common. We investigated whether whole-genome sequencing (WGS) could delineate outbreaks with greater resolution than MIRU-VNTR typing has done. MethodsWe sequenced 390 M tuberculosis isolates from 254 patients from the UK Midlands (1994–2011) using Illumina technology (appendix). We estimated the expected genomic diversity between isolates within a transmission chain by measuring pairwise nucleotide differences between genomes within hosts (79 individuals with pulmonary and extrapulmonary disease, or multiple pulmonary episodes) and between hosts within 25 household outbreaks (63 individuals). We then investigated 11 MIRU-VNTR-based community clusters (168 patients, 157 transmission events) to assess whether WGS could delineate outbreaks more effectively. For each cluster we reconstructed the most plausible transmission chain based on epidemiological data collected by tuberculosis nurses, pairwise nucleotide distances, and times of diagnosis, and compared the genomic diversity across these constructed links with that within individuals and within household outbreaks. Findings109 (96%) of 114 isolates were within five SNPs of another isolate taken from the same individual or from an individual in the same household outbreak. On the basis of longitudinal isolates from individuals or households, we estimated an evolutionary rate of 0·5 SNPs per genome per year, consistent with a maximum of five SNPs between related isolates 3 years or less apart. Using a greater than five SNP threshold to assess 11 MIRU-VNTR-based community clusters, we found that none of 69 epidemiologically related pairs of MIRU-VNTR-matched cases plausibly related by transmission, two of 13 possibly related pairs, and 13 of 75 pairs with no known epidemiological relation were separated by more than five SNPs (p<0·0001). Seven MIRU-VNTR-matched pairs with no epidemiological relation had more than 30 SNPs, five of seven belonging to the same immigrant community cluster. WGS also showed that 62 of 75 MIRU-VNTR-matched pairs for which no epidemiological relation had been identified from contact tracing were highly likely to indicate transmission: in one substance misuse cluster, 38 individuals were linked by five or fewer SNPs without a single epidemiological link having been established previously. Further analysis suggested that microevolutionary divergence of lineages within outbreaks could signal possible super-spreaders, corroborated by clinical and epidemiological data in two clusters. InterpretationWGS can delineate tuberculosis outbreaks with greater resolution than has previously been possible. These findings offer public health teams the potential to limit outbreak investigations to patients who are likely to be linked by recent transmission, irrespective of whether it has been possible to identify epidemiological links, and to save resources where they are not, even in the context of matched MIRU-VNTR genotypes. Uniquely, WGS also provides information about the genetic structure of outbreak clusters, thereby providing the potential to direct public health resources towards individuals most likely to have infected the largest number of secondary cases. As a consequence, the Health Protection Agency is considering introduction of WGS technology for routine tuberculosis public health practice in England. FundingNIHR Oxford Biomedical Research Centre and the UKCRC Modernising Medical Microbiology Consortium (UKCRC Translational Infection Research Initiative supported by MRC, Biotechnology and Biological Sciences Research Council, and NIHR on behalf of the Department of Health [grant G0800778] and the Wellcome Trust [087646/Z/08/Z]).

Characterization of a Verocytotoxin-Producing Enteroaggregative Escherichia coli Serogroup O111:H21 Strain Associated with a Household Outbreak in Northern Ireland

A strain of Escherichia coli O111:H21 recently isolated in the United Kingdom harbored the phage-encoded vtx2c gene and the aggregative adherence plasmid. Although exhibiting the same pathogenic profile as the E. coli O104:H4 strain linked to the outbreak in Germany, there were important differences in strain characteristics and in the epidemiological setting.

Presence of Oseltamivir-Resistant Pandemic A/H1N1 Minor Variants Before Drug Therapy With Subsequent Selection and Transmission

A small proportion (1%-1.5%) of 2009 pandemic influenza A/H1N1 virus strains (A[H1N1]pdm09) are oseltamivir resistant, almost exclusively because of a H275Y mutation in the neuraminidase protein. However, many individuals infected with resistant strains had not received antivirals. Whether drug-resistant viruses are initially present as minor variants in untreated individuals before they emerge as the dominant strain in a virus population is of great importance for predicting the speed at which resistance will arise. To address this issue, we used ultra-deep sequencing of viral populations from serial nasopharyngeal specimens from an immunocompromised child and from 2 individuals in a household outbreak. We observed that the Y275 mutation was present as a minor variant in infected hosts before the onset of therapy. We also found evidence for the transmission of this drug-resistant variant with drug-susceptible viruses. These observations provide important information on the relative fitness of the Y275 mutation in the absence of oseltamivir treatment.

Molecular epidemiology of a household outbreak of Shiga-toxin-producing Escherichia coli in Poland due to secondary transmission of STEC O104 : H4 from Germany

We characterized two STEC O104 : H4 clinical isolates collected in Poland from a 7-year-old boy with haemolytic uraemic syndrome (HUS) and his nanny. This household outbreak began on 29 May 2011. Because of its time-frame, the outbreak was assumed to be part of the international STEC O104 : H4 outbreak that arose in Germany in May 2011. The two Polish isolates were Shiga-toxin-producing Escherichia coli (stx2 lpf) with enteroaggregative E. coli pathotype (aggR aap aggA), thereby sharing the unique virulence properties of the epidemic STEC O104 : H4 strain from the international outbreak. The Polish isolates were multi-drug resistant and carried bla(TEM), strA, strB, tetA, sul1 and sul2 markers together with the bla(CTX-M-15) gene for CTX-M-15 extended-spectrum β-lactamase. PFGE patterns and plasmid profiles of the Polish isolates and the epidemic STEC O104 : H4 strain corresponded closely. This finding suggested an epidemiological link between the Polish STEC O104 : H4 isolates and the international outbreak. Retrospective serological investigations proved person-to-person transmission of the epidemic STEC O104 : H4 strain from a father who had visited Dortmund, Germany, to his 7-year-old son in Giżycko, Poland. To the best of our knowledge, this is the first report of household transmission of Shiga-toxin-producing E. coli in Poland.

Can Antiviral Drugs Contain Pandemic Influenza Transmission?

Antiviral drugs dispensed during the 2009 influenza pandemic generally failed to contain transmission. This poses the question of whether preparedness for a future pandemic should include plans to use antiviral drugs to mitigate transmission.Simulations using a standard transmission model that allows for infected arrivals and delayed vaccination show that attempts to contain transmission require relatively few antiviral doses. In contrast, persistent use of antiviral drugs when the reproduction number remains above 1 use very many doses and are unlikely to reduce the eventual attack rate appreciably unless the stockpile is very large. A second model, in which the community has a household structure, shows that the effectiveness of a strategy of dispensing antiviral drugs to infected households decreases rapidly with time delays in dispensing the antivirals. Using characteristics of past pandemics it is estimated that at least 80% of primary household cases must present upon show of symptoms to have a chance of containing transmission by dispensing antiviral drugs to households. To determine data needs, household outbreaks were simulated with 50% receiving antiviral drugs early and 50% receiving antiviral drugs late. A test to compare the size of household outbreaks indicates that at least 100–200 household outbreaks need to be monitored to find evidence that antiviral drugs can mitigate transmission of the newly emerged virus.Use of antiviral drugs in an early attempt to contain transmission should be part of preparedness plans for a future influenza pandemic. Data on the incidence of the first 350 cases and the eventual attack rates of the first 200 hundred household outbreaks should be used to estimate the initial reproduction number R and the effectiveness of antiviral drugs to mitigate transmission. Use of antiviral drugs to mitigate general transmission should cease if these estimates indicate that containment of transmission is unlikely.

Household epidemic models with varying infection response

This paper is concerned with SIR (susceptible → infected → removed) household epidemic models in which the infection response may be either mild or severe, with the type of response also affecting the infectiousness of an individual. Two different models are analysed. In the first model, the infection status of an individual is predetermined, perhaps due to partial immunity, and in the second, the infection status of an individual depends on the infection status of its infector and on whether the individual was infected by a within- or between-household contact. The first scenario may be modelled using a multitype household epidemic model, and the second scenario by a model we denote by the infector-dependent-severity household epidemic model. Large population results of the two models are derived, with the focus being on the distribution of the total numbers of mild and severe cases in a typical household, of any given size, in the event that the epidemic becomes established. The aim of the paper is to investigate whether it is possible to determine which of the two underlying explanations is causing the varying response when given final size household outbreak data containing mild and severe cases. We conduct numerical studies which show that, given data on sufficiently many households, it is generally possible to discriminate between the two models by comparing the Kullback-Leibler divergence for the two fitted models to these data.