BACKGROUND: The 2022 mpox outbreak disproportionately affected gay, bisexual, and other men who have sex with men (GBMSM). Mpox cases continue to be reported nationally. Vaccination is a tool to prevent the spread of and serious disease from mpox. To understand mpox vaccine uptake and hesitancy, a virtual focus group with unvaccinated GBMSM was conducted. METHODS: In November 2022, a 60-minute, virtual focus group was conducted within an artificial intelligence (AI) platform that engages participants in chat-based conversation. The AI system uses machine learning and natural language processing to analyze and provide results immediately to the moderator. Descriptive frequencies, cross-tabulations and qualitative themes were analyzed. RESULTS: Fifty-one GBMSM ages 18-55 participated, of whom 12 had attempted to get the mpox vaccine. The top barriers in accessing the vaccine included challenges in scheduling appointments (4/12), available vaccine locations (3/12), and transportation (2/12). Nine participants reported not wanting the vaccine and 22 were undecided; Of these, 15 (4/9 and 11/22, respectively) said they did not think they needed the vaccine due to low perceived risk or monogamy.. Among the undecided, after receiving health messaging about mpox, 12/22 said the messaging made them reconsider getting the vaccine. CONCLUSION: During an outbreak, many unvaccinated GBMSM who may be at increased risk for mpox either wanted the vaccine or, with appropriate health messaging, may be open to getting the vaccine. Messaging about mpox vaccine efficacy, potential side effects, and how to access the vaccine may improve vaccine uptake especially as cases continue to occur.

A 27-year-old female white-faced saki (Pithecia pithecia) died following an onset of vomiting and ptyalism. Necropsy revealed lesions of suppurative ventriculitis, choroid plexitis, periventricular encephalitis and meningitis with intralesional gram-positive coccobacilli and paired rods. The saki also had suppurative to mononuclear hepatitis, mild intestinal crypt necrosis, proliferative glomerulonephritis, aortic arteriosclerosis, pulmonary interstitial fibrosis, chronic mild epicarditis, ovarian medullary arteriopathy and a focal superficial cerebral fibrotic nodule with surrounding chronic mixed cell inflammation. Listeria monocytogenes was cultured from liver and spinal cord. Intralesional Listeria bacteria were immunolabelled in brain sections and real-time polymerase chain reaction of brain tissue detected L. monocytogenes. Whole genome multilocus sequence typing characterized the cultured bacterial isolates as sequence type 6 and clonal complex 6. A database search for related clinical and food listerial outbreaks identified genetically related isolates but, because these isolates were more than 20 alleles distant from the saki isolates, they were not a related cluster. Reports of listeriosis in non-human primates are infrequent, and when infections do occur, they tend to be haematogenous with the propensity to cause meningoencephalitis. This saki likely ingested environmental L. monocytogenes, which resulted in disease that may have been facilitated by pre-existing co-morbidities and age. © 2022 Elsevier Ltd

Syndromic surveillance detects and monitors individual and population health indicators through sources such as emergency department records. Automated classification of these records can improve outbreak detection speed and diagnosis accuracy. Current syndromic systems rely on hand-coded keyword-based methods to parse written fields and may benefit from the use of modern supervised-learning classifier models. In this paper, we implement two recurrent neural network models based on long short-term memory (LSTM) and gated recurrent unit (GRU) cells and compare them to two traditional bag-of-words classifiers: multinomial naive Bayes (MNB) and a support vector machine (SVM). The MNB classifier is one of only two machine learning algorithms currently being used for syndromic surveillance. All four models are trained to predict diagnostic code groups as defined by Clinical Classification Software, first to predict from discharge diagnosis, and then from chief complaint fields. The classifiers are trained on 3.6 million de-identified emergency department records from a single United States jurisdiction. We compare performance of these models primarily using the F1 score, and we measure absolute model performance to determine which conditions are the most amenable to surveillance based on chief complaint alone. Using discharge diagnoses, the LSTM classifier performs best, though all models exhibit an F1 score above 96.00. Using chief complaints, the GRU performs best (F1=47.38), and MNB with bigrams performs worst (F1=39.40). We also note that certain syndrome types are easier to detect than others. For example, chief complaints using the GRU model predicts alcohol-related disorders well (F1=78.91) but predicts influenza poorly (F1=14.80). In all instances, the RNN models outperformed the bag-of-words classifiers suggesting deep learning models could substantially improve the automatic classification of unstructured text for syndromic surveillance.

OBJECTIVE: This study characterizes physiological measures of heat exposure among U.S. underground miners. METHODS: Core body temperature measured by using ingestible sensors during subjects' normal work shifts was categorized into four temperature zones: <37.5 degrees C, 37.5 degrees C to <38 degrees C, 38 degrees C to <38.5 degrees C, and >/=38.5 degrees C. RESULTS: On average, subjects changed temperature zones 13.8 times per shift. Temperatures increased above the recommended limit of 38 degrees C nearly 5 times per shift for an average of 26 minutes each episode. CONCLUSIONS: Unlike previous heat stress research that reported only maximum and mean temperature measurements, this analysis demonstrates a dynamic pattern of physiologic heat strain, with core body temperatures changing frequently and exceeding the 38 degrees C limit multiple times per shift. Further research is needed on the impact of multiple short-term, intermittent heat exposures on miners.

Teen pregnancies and births continue to decline due in part to implementation of evidence-based interventions and clinical strategies. While local stakeholder education is also thought to be critical to this success, little is known about what types of strategies work best to engage stakeholders. With the goal of identifying and describing evidence-based or best practice strategies for stakeholder education in community-based public health initiatives, we conducted a systematic literature review of strategies used for effective stakeholder education. Over 400 articles were initially retrieved; 59 articles met inclusion criteria. Strategies were grouped into four steps that communities can use to support stakeholder education efforts: identify stakeholder needs and resources, develop a plan, develop tailored and compelling messaging, and use implementation strategies. These strategies lay a framework for high-quality stakeholder education. In future research, it is important to prioritize evaluating specific activities taken to raise awareness, educate, and engage a community in community-wide public health efforts.

We performed a spatial-temporal analysis to assess household risk factors for Ebola virus disease (Ebola) in a remote, severely-affected village. We defined a household as a family's shared living space and a case-household as a household with at least one resident who became a suspect, probable, or confirmed Ebola case from 1 August 2014 to 10 October 2014. We used Geographic Information System (GIS) software to calculate inter-household distances, performed space-time cluster analyses, and developed Generalized Estimating Equations (GEE). Village X consisted of 64 households; 42% of households became case-households over the observation period. Two significant space-time clusters occurred among households in the village; temporal effects outweighed spatial effects. GEE demonstrated that the odds of becoming a case-household increased by 4.0% for each additional person per household (P < 0.02) and 2.6% per day (P < 0.07). An increasing number of persons per household, and to a lesser extent, the passage of time after onset of the outbreak were risk factors for household Ebola acquisition, emphasizing the importance of prompt public health interventions that prioritize the most populated households. Using GIS with GEE can reveal complex spatial-temporal risk factors, which can inform prioritization of response activities in future outbreaks.

BACKGROUND: In the United States, the proportion of Bordetella pertussis isolates lacking pertactin, a component of acellular pertussis vaccines, increased from 14% in 2010 to 85% in 2012. The impact on vaccine effectiveness (VE) is unknown. METHODS: We conducted 2 matched case-control evaluations in Vermont to assess VE of the 5-dose diphtheria, tetanus, and acellular pertussis vaccine (DTaP) series among 4- to 10-year-olds, and tetanus, diphtheria, and acellular pertussis vaccine (Tdap) among 11- to 19-year-olds. Cases reported during 2011 to 2013 were included. Three controls were matched to each case by medical home, and additionally by birth year for the Tdap evaluation. Vaccination history was obtained from medical records and parent interviews. Odds ratios (OR) were calculated by using conditional logistic regression; VE was estimated as (1-OR) x 100%. Pertactin status was determined for cases with available isolates. RESULTS: Overall DTaP VE was 84% (95% confidence interval [CI] 58%-94%). VE within 12 months of dose 5 was 90% (95% CI 71%-97%), declining to 68% (95% CI 10%-88%) by 5-7 years post-vaccination. Overall Tdap VE was 70% (95% CI 54%-81%). Within 12 months of Tdap vaccination, VE was 76% (95% CI 60%-85%), declining to 56% (95% CI 16%-77%) by 2-4 years post-vaccination. Of cases with available isolates, >90% were pertactin-deficient. CONCLUSIONS: Our DTaP and Tdap VE estimates remain similar to those found in other settings, despite high prevalence of pertactin deficiency in Vermont, suggesting these vaccines continue to be protective against reported pertussis disease.

Rapid and wide dispersal of passengers after flights makes investigation of flight-related outbreaks challenging. An outbreak of Salmonella Heidelberg was identified in a group of Irish travellers returning from Tanzania. Additional international cases sharing the same flight were identified. Our aim was to determine the source and potential vehicles of infection. Case-finding utilized information exchange using experts' communication networks and national surveillance systems. Demographic, clinical and food history information was collected. Twenty-five additional cases were identified from Ireland, The Netherlands, Norway, USA and Canada. We conducted a case-control study which indicated a significant association between illness and consumption of milk tart (OR 10.2) and an egg dish (OR 6) served on-board the flight. No food consumed before the flight was associated with illness. Cases from countries other than Ireland provided supplementary information that facilitated the identification of likely vehicles of infection. Timely, committed international collaboration is vital in such investigations.

OBJECTIVES: Prior investigations identified an association between airborne cadmium and lung cancer but questions remain regarding confounding by arsenic, a well-established lung carcinogen. METHODS: A cadmium smelter population exhibiting excess lung cancer was re-analysed using a retrospective exposure assessment for arsenic (As), updated mortality (1940-2002), a revised cadmium (Cd) exposure matrix and improved work history information. RESULTS: Cumulative exposure metrics for both cadmium and arsenic were strongly associated making estimation of their independent effects difficult. Standardised mortality ratios (SMRs) were modelled with Poisson regression with the contribution of arsenic to lung cancer risk constrained by exposure-response estimates previously reported. The results demonstrate (1) a statistically significant effect of Cd independent of As (SMR=3.2 for 10 mg-year/m(3) Cd, p=0.012), (2) a substantial healthy worker effect for lung cancer (for unexposed workers, SMR=0.69) and (3) a large deficit in lung cancer mortality among Hispanic workers (SMR=0.27, p=0.009), known to have low lung cancer rates. A supralinear dose-rate effect was observed (contribution to risk with increasing exposure intensity has declining positive slope). Lung cancer mortality was somewhat better predicted using a cadmium burden metric with a half-life of about 20-25 years. CONCLUSIONS: These findings support an independent effect for cadmium in risk of lung cancer mortality. 1/1000 excess lifetime risk of lung cancer death is predicted from an airborne exposure of about 2.4 mcg/m(3) Cd.