New frontiers in applied veterinary point‐of‐capture diagnostics: Toward early detection and control of zoonotic influenza

Among the chief limitations in achieving early detection and control of animal‐origin influenza of pandemic potential in high‐risk livestock populations is the existing lag time between sample collection and diagnostic result. Advances in molecular diagnostics are permitting deployment of affordable, rapid, highly sensitive, and specific point‐of‐capture assays, providing opportunities for targeted surveillance driving containment strategies with potentially compelling returns on investment. Interrupting disease transmission at source holds promise of disrupting cycles of animal‐origin influenza incursion to endemicity and limiting impact on animal production, food security, and public health. Adoption of new point‐of‐capture diagnostics should be undertaken in the context of promoting robust veterinary services systems and parallel support for operationalizing pre‐authorized plans and communication strategies that will ensure that the full potential of these new platforms is realized.     

SARS-CoV-2 Serial Interval Variation,Montana, USA,March 1–July 31, 2020

We report mean severe acute respiratory syndrome coronavirus 2 serial intervals for Montana, USA, from 583 transmission pairs; infectors’ symptom onset dates occurred during March 1–July 31, 2020. Our estimate was 5.68 (95% CI 5.27–6.08) days, SD 4.77 (95% CI 4.33–5.19) days. Subperiod estimates varied temporally by nonpharmaceutical intervention type and fluctuating incidence.     

基于中医临床证候探讨新型冠状病毒肺炎在岭南地区的疫性特点

目的:通过分析广东省第二人民医院收治的新型冠状病毒肺炎(以下简称新冠肺炎)患者的临床资料,从中医临床证候探讨该病在岭南地区的疫性特点,更好地指导临床辨证治疗。方法:收集广东省第二人民医院收治的36例新冠肺炎患者的临床资料,其中输入病例20例,本地病例16例,分析全部病例、输入病例和本地病例的临床资料和证候特点。结果:新冠肺炎患者年龄分布较广,平均年龄45岁,以男性居多,55.56%的患者为外地输入病例,44.44%的患者为本地感染病例。全部病例证型以湿邪郁肺型和邪热壅肺型为主,分别占44.44%和38.89%;91.67%的患者呈现“湿”的病理特点,72.22%的患者呈现“热”的病理特点。其中输入病例证型以湿邪郁肺型为主,占65.00%,100%的患者呈现“湿”的病理特点,55.00%呈现“热”的病理特点;本地病例证型以邪热壅肺为主,占56.25%,93.75%的患者呈现“热”的病理特点,81.25%呈现“湿”的病理特点。结论:本次疫病在岭南地区的疫性属于以湿邪和热邪为主导的“湿热疫”,病机特点为湿热并重;输入性病例多表现为以湿邪为患的“湿疫”,有化热的趋势和倾向,病机特点为湿重于热;本地病例多表现为以热邪为主的“温热疫”,病机特点为热重于湿。此次新冠肺炎不同地区存在不同疫性的可能,辨证和治疗要遵守三因制宜的原则。     

New generation sequencing in pathogen discovery and microbial surveillance

23rd European Congress of Clinical Microbiology and Infectious Diseases (ECCMID).

Berlin, Germany, 27–30 April 2013

The annual congress of the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) is recognized as the largest European congress for the presentation and discussion of the key priorities and more recent scientific developments in the fields of clinical microbiology and infection. This year, it attracted almost 10,000 participants from all over the world. Keynote lectures, symposia, meet-the-expert sessions, educational workshops, poster and oral sessions covered the diagnosis, treatment, epidemiology and prevention of infectious diseases, as well as related basic microbiology. Moreover, interactive sessions addressing specific subjects underlined the important educational aspect of the ECCMID’s congress. The scientific program, abstracts, oral presentations are available at their website . This meeting report is focused on one of the several challenging and one of the most transversal topics of the meeting: the application of the next-generation sequencing (NGS) to the microbial world.     

Rapid Spread and Diversification of Respiratory Syncytial Virus Genotype ON1, Kenya

Respiratory syncytial virus genotype ON1, which is characterized by a 72-nt duplication in the attachment protein gene, has been detected in >10 countries since first identified in Ontario, Canada, in 2010. We describe 2 waves of genotype ON1 infections among children admitted to a rural hospital in Kenya during 2012. Phylogenetic analysis of attachment protein gene sequences showed multiple introductions of genotype ON1; variants distinct from the original Canadian viruses predominated in both infection waves. The genotype ON1 dominated over the other group A genotypes during the second wave, and some first wave ON1 variants reappeared in the second wave. An analysis of global genotype ON1 sequences determined that this genotype has become considerably diversified and has acquired signature coding mutations within immunogenic regions, and its most recent common ancestor dates to ≈2008–2009. Surveillance of genotype ON1 contributes to an understanding of the mechanisms of rapid emergence of respiratory viruses.     

Big Events in Greece and HIV Infection Among People Who Inject Drugs

Big Events are processes like macroeconomic transitions that have lowered social well-being in various settings in the past. Greece has been hit by the global crisis and experienced an HIV outbreak among people who inject drugs. Since the crisis began (2008), Greece has seen population displacement, inter-communal violence, cuts in governmental expenditures, and social movements. These may have affected normative regulation, networks, and behaviors. However, most pathways to risk remain unknown or unmeasured. We use what is known and unknown about the Greek HIV outbreak to suggest modifications in Big Events models and the need for additional research.     

Ebola in West Africa—CDC’s Role in Epidemic Detection,Control, and Prevention

Since Ebola virus disease was identified in West Africa on March 23, 2014, the Centers for Disease Control and Prevention (CDC) has undertaken the most intensive response in the agency’s history; >3,000 staff have been involved, including >1,200 deployed to West Africa for >50,000 person workdays. Efforts have included supporting incident management systems in affected countries; mobilizing partners; and strengthening laboratory, epidemiology, contact investigation, health care infection control, communication, and border screening in West Africa, Nigeria, Mali, Senegal, and the United States. All efforts were undertaken as part of national and global response activities with many partner organizations. CDC was able to support community, national, and international health and public health staff to prevent an even worse event. The Ebola virus disease epidemic highlights the need to strengthen national and international systems to detect, respond to, and prevent the spread of future health threats.     

Response Strategies against Meningitis Epidemics after Elimination of Serogroup A Meningococci,Niger

To inform epidemic response strategies for the African meningitis belt after a meningococcal serogroup A conjugate vaccine was introduced in 2010, we compared the effectiveness and efficiency of meningitis surveillance and vaccine response strategies at district and health area levels using various thresholds of weekly incidence rates. We analyzed reports of suspected cases from 3 regions in Niger during 2002–2012 (154,392 health area weeks), simulating elimination of serogroup A meningitis by excluding health area years with identification of such cases. Effectiveness was highest for health area surveillance and district vaccination (58–366 cases; thresholds 7–20 cases/100,000 doses), whereas efficiency was optimized with health area vaccination (5.6–7.7 cases/100,000 doses). District-level intervention prevented <6 cases (0.2 cases/100,000 doses). Reducing the delay between epidemic signal and vaccine protection by 2 weeks doubled efficiency. Subdistrict surveillance and response might be most appropriate for meningitis epidemic response after elimination of serogroup A meningitis.     

Epidemic forecasts as a tool for public health: interpretation and (re)calibration

Objective: Recent studies have used Bayesian methods to predict timing of influenza epidemics many weeks in advance, but there is no documented evaluation of how such forecasts might support the day‐to‐day operations of public health staff. Methods: During the 2015 influenza season in Melbourne, Australia, weekly forecasts were presented at Health Department surveillance unit meetings, where they were evaluated and updated in light of expert opinion to improve their accuracy and usefulness. Results: Predictive capacity of the model was substantially limited by delays in reporting and processing arising from an unprecedented number of notifications, disproportionate to seasonal intensity. Adjustment of the predictive algorithm to account for these delays and increased reporting propensity improved both current situational awareness and forecasting accuracy. Conclusions: Collaborative engagement with public health practitioners in model development improved understanding of the context and limitations of emerging surveillance data. Incorporation of these insights in a quantitative model resulted in more robust estimates of disease activity for public health use. Implications for public health: In addition to predicting future disease trends, forecasting methods can quantify the impact of delays in data availability and variable reporting practice on the accuracy of current epidemic assessment. Such evidence supports investment in systems capacity.