We report a single case of invasive pneumococcal disease (IPD) by serotype 4, multilocus sequence type 10172 (ST10172) isolate with vanG-type resistance genes and reduced vancomycin susceptibility. The isolate was recovered during 2022 from a 66-year-old resident with bacteremic pneumococcal pneumonia within a Centers for Disease Control and Prevention Active Bacterial Core surveillance (ABCs) site hospital. The patient had received 23-valent pneumococcal polysaccharide vaccine and there was no evidence of concurrent or prior receipt of vancomycin in the previous year. Serotype 4/ST10172 IPD has shown increases within western ABCs sites, and the recent acquisition of a vanG element warrants close monitoring of this lineage.

BACKGROUND: Data are limited on whether vaccination reduces post COVID conditions (PCCs) risk after less severe nonhospitalized coronavirus disease 2019 (COVID-19). This study assessed whether COVID-19 vaccination protected against PCCs in persons with mild initial infections during Delta and Omicron variant predominance. METHODS: This study utilized a case-control design, nested within the HEROES-RECOVER cohort. Participants aged ≥18 years with test-confirmed severe acute respiratory syndrome coronavirus disease 2 (SARS-CoV-2) between 28 June 2021 and 14 September 2022 were surveyed for PCCs, defined by symptoms lasting >4 weeks after initial infection. Cases self-reported PCCs and controls self-reported no PCCs. The exposure was messenger RNA (mRNA) COVID-19 vaccination (2 or 3 monovalent doses). Odds of PCCs among vaccinated and unvaccinated persons were compared with logistic regression. RESULTS: Of 936 participants, 23.6% reported PCCs and 83.2% were vaccinated. Participants who received 3 vaccine doses had lower odds of PCC-related gastrointestinal, neurological, and other symptoms compared to unvaccinated participants (adjusted odds ratio [95% confidence interval]: 0.37 [.16-.85], 0.56 [.32-.97], and 0.48 [.25-.91], respectively). CONCLUSIONS: COVID-19 vaccination protected against development of PCCs among persons with mild infection during both Delta and Omicron variant predominance, supporting vaccination as an important PCCs prevention tool.

BACKGROUND: In 2020, countries implemented universal surveillance to detect and monitor severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases. Although crucial for early monitoring efforts, universal surveillance is resource intensive. To understand the implications of transitioning from universal to sentinel surveillance for monitoring SARS-CoV-2 transmissibility, morbidity and mortality, and disease seriousness, we compared measures of SARS-CoV-2 reported from both surveillance strategies in Argentina, Chile, and Mexico. METHODS: We obtained weekly case counts in Argentina, Chile, and Mexico, in periods when both universal and sentinel surveillance were ongoing. To assess the countries' surveillance strategies, we measured the proportion of total sites that were included in sentinel surveillance. We compared 8 measures of SARS-CoV-2 transmissibility, morbidity and mortality, and disease seriousness between sentinel and universal surveillance and assessed the correlation between the 2 strategies for the 8 measures. Pearson and Spearman correlation was classified as very strong (rs = 0.8-1.0), strong (rs = 0.60-0.79), moderate (rs = 0.50-0.59), or poor (r < 0.50). RESULTS: The proportion of total sites included in sentinel surveillance was 5.8% for Argentina, 1.1% for Chile, and 7.6% for Mexico. A total of 21 measures were calculated (8 for Mexico, 8 for Chile, and 5 for Argentina). Of these, 17 showed consistency between the 2 surveillance strategies, with strong or very strong correlations (r = 0.66-0.99): all 8 measures for Mexico, 6 of 8 measures for Chile, and 3 of 5 measures for Argentina. Each country had ≥1 measure reflecting transmissibility and ≥1 reflecting morbidity and mortality for which the correlation was strong or very strong. Chile and Mexico also had ≥1 measure of disease seriousness for which the correlation was strong. CONCLUSIONS: Our findings suggest that the integration of SARS-CoV-2 into national sentinel surveillance can yield information comparable to that provided by nationwide universal surveillance for measures related to SARS-CoV-2 transmissibility, morbidity and mortality, and seriousness of disease.

A fatal case of primary amebic meningoencephalitis (PAM), an infection caused by Naegleria fowleri, was diagnosed in Arkansas in a young child in September 2023. A public health investigation was completed, with epidemiologic, laboratory, and environmental data suggesting that a splash pad (an interactive water play venue that sprays or jets water on users and has little or no standing water) with inadequately disinfected water was the most likely site of the patient's N. fowleri exposure. This case is the third occurrence of splash pad-associated PAM reported in the United States; all three cases involved inadequately disinfected water. PAM should be considered in patients with acute meningoencephalitis and a history of recent possible exposure to fresh water, including treated recreational water (e.g., in splash pads or pools), via the nasal passages. Proper design, construction, operation, and management of splash pads can help prevent illnesses, including N. fowleri infections. Increased awareness, collaboration, and communication among clinicians, hospitals, laboratories, CDC, health departments, the aquatics sector, and the public can help support N. fowleri infection identification, treatment, prevention, and control efforts.

Mycetoma, chromoblastomycosis, and sporotrichosis are fungal neglected tropical diseases (NTDs) recognized by the World Health Organization. These implantation diseases cause substantial morbidity, disability, decreased quality of life, and can lead to long-term complications including tissue fibrosis, skin cancer, and amputation. The 2024–2030 South-East Asia Regional NTD Strategic Framework includes mycetoma but neglects the full extent of mycetoma endemicity in the region. Furthermore, the framework excludes chromoblastomycosis and sporotrichosis. We describe the data demonstrating fungal NTDs being of public health concern in this region and more widely distributed than acknowledged in the framework. Additionally, we propose modifications to public health interventions and services for fungal NTDs including an active case search approach through community health workers. Severe disease from fungal NTDs in South-East Asia can be eliminated by improving burden data quality, early diagnosis, accessible treatment, and integration with other common and neglected skin diseases. © 2025

BACKGROUND: Coronavirus disease 2019 (COVID-19) burden is difficult to quantify with cases missed by surveillance systems. During COVID-19 Delta and Omicron BA.1-5 periods, we assessed the COVID-19 burden in New South Wales (NSW), Australia, from May 2021-July 2022 using a participatory surveillance system of self-reported respiratory disease and a database of people seeking healthcare. METHODS: To estimate community illness burden, we adjusted the NSW age-stratified non-case population by reported severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) percent positive and acute respiratory illness (ARI) rates. Hospitalization and death burden were estimated by adjusting reported rates to the NSW population and by the proportion of COVID-19 admissions attributable to COVID-19 illness. Burden estimates were compared to reported case counts. RESULTS: From May 2021-July 2022, an estimated 3,450,516 (95%CI: 2,847,355-4,119,472) symptomatic community ARI illnesses, 24,684 (95%CI: 20,714-29,144) hospitalizations, and 4,638 (95% CI: 3,263-6,049) deaths were attributable to COVID-19 in NSW. Reported cases (3,039,239) were 14% lower than the estimated symptomatic community illness burden but within the estimate's 95% confidence interval. Overall, 0.7% of symptomatic community illnesses resulted in hospitalization and 0.1% resulted in death. CONCLUSIONS: Estimated symptomatic case hospitalization and fatality risk could be used for COVID-19 modelling and forecasting.

Persons who work closely with dairy cows, poultry, or other animals with suspected or confirmed infection with highly pathogenic avian influenza (HPAI) A(H5N1) viruses are at increased risk for infection. In September 2024, the California Department of Public Health was notified of the first human case of HPAI A(H5N1) in California through monitoring of workers on farms with infected cows. During September 30-December 24, 2024, a total of 38 persons received positive test results for HPAI A(H5N1) viruses in California; 37 were dairy farm workers with occupational exposure to sick cows, and one was a child aged <18 years with an undetermined exposure, the first pediatric HPAI A(H5N1) case reported in the United States. All patients had mild illness. The identification of cases associated with occupational exposure to HPAI A(H5N1) viruses on dairy farms highlights the continued risk for persons who work with infected animals. The pediatric case was identified through routine surveillance. Given recent increases in the prevalence of HPAI A(H5N1) viruses among some animal populations, public health agencies should continue to investigate cases of HPAI A(H5N1) in humans as part of control measures, pandemic preparedness, to identify concerning genetic changes, and to prevent and detect potential human-to-human transmission of the virus. To date, no human-to-human transmission of HPAI A(H5N1) virus has been identified in the United States.

Parabens are widely used preservatives with endocrine-disrupting properties, but their role in glucose metabolism during pregnancy is unclear. This study examines prospective associations between urinary concentrations of four parabens in early and mid-pregnancy and gestational diabetes (GDM). A matched case-control study nested within a diverse longitudinal pregnancy cohort (PETALS) with universal GDM screening matched GDM cases to two controls (111 cases; 222 controls). Urine samples collected 2015-2017 in early (14 ± 2.3 weeks) and mid-pregnancy (20 ± 2.4 weeks) were analyzed for paraben concentrations with mass spectrometry. Area-under-the-time-concentration-curve (AUC) assessed cumulative exposure. Conditional logistic regression models evaluated associations between paraben concentrations and GDM, adjusting for covariates. We a priori examined effect modification by Asian/Pacific Islander (A/PI) race/ethnicity due to the case-control matching and GDM prevalence highest among A/PI. Participants were 31 ± 5 years old and 40 % A/PI, 33 % Hispanic, 14 % White and 9 % Black. Methylparaben and propylparaben had >94 % detection, while ethylparaben and butylparaben ranged from 22 %-51 %. Paraben exposure was not associated with GDM overall. Among A/PI, higher methylparaben concentrations exhibited higher odds of GDM: early-pregnancy OR 1.14 per IQR (95 % CI: 0.89,1.45) and AUC 1.07 (0.89,1.30) compared to non-A/PI (early-pregnancy 0.81 [0.62,1.06] and AUC 0.70 [0.44,1.12]; P(interaction) = 0.01 and 0.03, respectively). A/PI mid-pregnancy ethylparaben exposure (detectable vs non-detectable) was linked to higher GDM odds (2.00 [0.84,4.76] vs. non-A/PI 0.47 [0.17,1.27]; P(interaction) = 0.04) as was mid-pregnancy propylparaben exposure (Tertile 2 vs. 1: 3.67 [1.21,11.1] vs. non-A/PI 0.70 [0.22, 2.25]; P(interaction) = 0.04). Although overall paraben exposure was not associated with GDM, interactions by A/PI race/ethnicity suggested potential increased odds of GDM related to propylparaben, methylparaben, and ethylparaben exposure. Future studies should explore paraben exposure in diverse populations.

OBJECTIVES: Electronic case reporting (eCR), a cornerstone of the Centers for Disease Control and Prevention's (CDC's) Data Modernization Initiative, automates bidirectional information sharing between electronic health records and public health agencies for reportable conditions. eCR grew rapidly in response to the COVID-19 pandemic. CDC and the Florida Department of Health (FDOH) collaborated to compare the completeness and timeliness of eCR with that of traditional reporting methods for COVID-19-related patient encounters at 4 health care organizations in Florida in December 2020. METHODS: Electronic initial case reports (eICRs) were matched to corresponding (ie, for same patient encounter) electronic laboratory reports (ELRs) or manually transmitted documents. We extracted and compared selected data from each report type across matched reports for completeness and timeliness. RESULTS: Most (>98%) eICRs provided earlier notification of COVID-19 to the local public health department than corresponding ELRs or manually transmitted documents. Additionally, eICRs provided more data on race and ethnicity (>90%) than ELRs (71%) or manually transmitted documents (<5%). CONCLUSIONS: Advancing implementation of eCR nationwide may provide more complete and timely case data than ELR or manually transmitted documents to guide public health action.

The TS POC test, Taenia solium point-of-care test, is a two-strip lateral flow assay using the recombinant antigen rES33 on the TS POC T test strip, and rT24H on the TS POC CC test strip, to detect antibodies against T. solium taeniosis and cysticercosis, respectively. The objective of this study was to assess the diagnostic performance of the TS POC test for the detection of T. solium taeniosis and cysticercosis in individuals attending district hospitals in Tanzania. In this prospective two-phase diagnostic accuracy study, we recruited participants aged 10 and above, excluding pregnant women and those with acute severe illness. Participants were consecutively recruited in three cohorts according to their signs/symptoms: compatible with neurocysticercosis (cohort 1), intestinal worm infections (cohort 2), and other signs/symptoms (cohort 3). Lacking a gold standard test for both infections, diagnostic accuracy was evaluated using results of two coprological and two serological tests for taeniosis, and three serological tests for cysticercosis, in a Bayesian Latent Class Model approach. The TS POC test was conducted on 601 participants in cohort 1, 1661 participants in cohort 2, and 662 participants in cohort 3. Most individuals tested negative on both TS POC test strips, with proportions of 83% (n = 496), 97% (n = 1613) and 97% (n = 641) in cohorts 1, 2 and 3, respectively. Complete case data were available for 120, 114, and 53 participants for taeniosis, and 126, 122, and 55 participants for cysticercosis. Sensitivity values for the TS POC T test strip were 50.2% [95% credible interval 4.9 - 96.4], 40.8% [2.2 - 95.2], and 40.4% [2.3 - 95.0], while specificity values were 98.6% [97.1 - 99.6], 99.3% [98.7 - 99.7] and 99.4% [98.5 - 99.9], respectively. For the TS POC CC test strip, the sensitivity was 77.5% [37.8 - 99.2], 24.9% [95% CI 6.4 - 52.7] and 44.2% [6.6 - 91.5], and the specificity 92.3% [86.5 - 98.8], 99.1% [97.8 - 100], and 98.1% [96.1 - 99.7] across the respective cohorts. Although the TS POC test has a low sensitivity, it demonstrates a high specificity, which may have clinical utility to guide treatment and diagnostic decisions, or in epidemiological studies. An important strength of this study lies in its assessment of the TS POC test under real-world conditions, revealing divergent estimates across distinct cohorts. The study underscores the suboptimal performance of existing tests under field conditions, emphasizing the need to enhance and validate these tests for better performance in practical real-world settings. Registration number: PACTR201712002788898.

BACKGROUND: Malaria transmission in Sierra Leone is intense and perennial, accounting for 40% of clinical consultations. Medical workers diagnose suspected malaria cases using rapid diagnostic tests (RDT) and microscopy, with facility-level results reported to the Health Management Information System (HMIS) as monthly aggregates. Commodity stocks are reported to the Logistics Management Information System (LMIS). Partners investigated a striking increase in confirmed malaria during May-July 2023 in Sierra Leone, peaking in June to 46% above the June 2018-2022 mean. METHODS: The team first analysed national, district, and facility HMIS/LMIS data for RDT stocks, testing rates, and confirmed cases during January 2018-October 2023. Epidemic thresholds, defined as case counts two standard deviations (σ) above the previous 5 years' monthly mean, were assessed. Then four facilities in two districts were visited to interview staff. Lastly, the team reanalysed LMIS RDT stock data for all facilities in Sierra Leone using R to categorize their stock status by month. RESULTS: National epidemic thresholds were surpassed in May (2.56σ) and June (4.81σ) 2023. Twelve of sixteen districts surpassed epidemic thresholds during May-June. Investigation revealed inconsistent RDT distribution to facilities over time. National RDT distribution spiked in May 2023, when 551,888 RDT test kits were delivered. This was substantially larger than the 2019-2022 mean for May (53,121, 1,000% increase) and all months (126,866, 435% increase). Subsequently in June 2023, 386,343 tests were performed, 36% higher than the June 2018-2022 mean (285,123). Staff at all four visited facilities reported recurrent RDT stockouts. The proportion of facilities in Sierra Leone reporting positive RDT stocks at both the start and end of the month increased from 14% in April to 74% in June. 51% of facilities began May with RDT stockout and received RDTs that month. CONCLUSIONS: The 2023 spike in confirmed malaria was likely related to increased testing following an unusually large distribution of RDTs. Fluctuations in RDT availability impede the ability to recognize true case variations. Sierra Leone and its partners can strengthen supply chain logistics and health commodity stock tracking to ensure a consistent supply of RDTs and improve interpretation of surveillance data.

Supportive supervision (SS) programs aim to enhance the quality of care by strengthening the performance of health providers. Commonly part of broader quality improvement efforts, SS programs are increasingly used in low-and middle-income countries to improve malaria case management. Despite substantial investments and some positive outcomes, little is known about what drives their effectiveness. A realist evaluation was conducted in Tanzania and Benin to explain how, why, and under what circumstances SS programs can improve the facility-based management of uncomplicated malaria in children under five. A program theory was developed through a team-based analysis of empirical data collected in both countries at two time points. Data included 218 in-depth and 12 structured interviews with stakeholders, 154 audits of febrile case management decisions, and four health facility audits. Stakeholder perspectives identified three acceptability mechanisms driving SS program outcomes in the studied contexts: the affective attitude, self-efficacy, and burden of the program as perceived by key actors. The pathway through which these mechanisms were perceived to shape malaria case management (diagnosis and treatment) practices was defined by the 1) extent to which the program was integrated into the public health system; 2) frequency with which SS visits were conducted by appropriate supervisors; 3) degree to which supervisors coached, rather than policed, supervisees; and 4) level of collaboration achieved between supervisees and supervisors. The program actors' perception of the program's effectiveness was also found to be crucial to its sustainability. This study explains the dynamics driving SS program outcomes and underscores the role played by the cognitive and emotional responses of program actors. These insights are likely to be transferable to other settings with similar contexts and can help inform the design, implementation, monitoring, and evaluation of new and ongoing SS programs.

BACKGROUND: Subpatent Plasmodium falciparum infections, defined as infections with parasite density below the detection limit of routine malaria diagnostic tests, contribute to infectious reservoirs, sustain transmission, and cause the failure of elimination strategies in target areas. This study assessed the prevalence of subpatent P. falciparum infections and associated risk factors in 14 regions of Mainland Tanzania. METHODS: The study used samples randomly selected from RDT-negative dried blood spots (DBS) (n = 2685/10,101) collected in 2021 at 100 health facilities across 10 regions of Mainland Tanzania, and four communities in four additional regions. The regions were selected from four transmission strata; high (five regions), moderate (three regions), low (three regions), and very low (three regions). DNA was extracted by Tween-Chelex method, and the Pf18S rRNA gene was amplified by quantitative polymerase chain reaction (qPCR). Logistic regression analysis was used to assess the associations between age groups, sex, fever status, and transmission strata with subpatent infection status, while linear regression analysis was used to assess the association between these factors and subpatent parasite density. RESULTS: Of the selected samples, 525/2685 (19.6%) were positive by qPCR for P. falciparum, and the positivity rates varied across different regions. Under-fives (aOR: 1.4, 95% CI 1.04-1.88; p < 0.05) from health facilities had higher odds of subpatent infections compared to other groups, while those from community surveys (aOR: 0.33, 95% CI 0.15-0.72; p = 0.005) had lower odds. Participants from very low transmission stratum had significantly lower odds of subpatent infection compared to those from high transmission stratum (aOR = 0.53, 95% CI = 0.37-0.78; p < 0.01). The log-transformed median parasite density (interquartile range) was 6.9 (5.8-8.5) parasites/µL, with significantly higher parasitaemia in the low transmission stratum compared to a very low one (11.4 vs 7.0 parasites/µL, p < 0.001). CONCLUSION: Even in very low transmission settings, the prevalence of subpatent infections was 13%, and in low transmission settings it was even higher at 29.4%, suggesting a substantial reservoir that is likely to perpetuate transmission but can be missed by routine malaria case management strategies. Thus, control and elimination programmes may benefit from adoption of more sensitive detection methods to ensure that a higher proportion of subpatent infections are detected.

Prenatal alcohol exposure has been linked to adverse neurodevelopmental outcomes. However, its effects on developmental outcomes in children with autism spectrum disorder (ASD) remain unclear. We examined associations between prenatal alcohol exposure during the first trimester (PAE-FT) and early learning ability, behavioral problems, and severity of autistic traits in preschool-aged children in a large multi-site case-control study, the Study to Explore Early Development. Children were classified as ASD (n = 1237) or population comparison without ASD (POP, n = 1334) after an in-person assessment covering cognitive abilities and detailed autistic traits. Mothers completed questionnaires on their child's behavior and autism-related traits, as well as their alcohol use during pregnancy. Of children in the ASD and POP groups, 18.5% and 20.2%, respectively, were exposed to PAE-FT. Exposure to 3 or more alcoholic drinks per week was associated with increased externalizing behaviors (i.e., attention deficits and aggressive behaviors) in children in both the ASD and POP groups, and with exacerbated social communication and interaction deficits in children with ASD only. First trimester exposure to 1-2 alcoholic drinks per week was associated with early learning delays for children in the ASD group, but not the POP group. As expected, our findings suggest that PAE-FT is associated with adverse behavioral development of children regardless of ASD status. However, PAE-FT may exacerbate autism-specific developmental problems and learning difficulties in children with ASD. Gathering a prenatal alcohol exposure history for children with and without ASD could contribute to a better understanding of developmental trajectories, aiding informed decisions for interventions and support.

BACKGROUND: Jamestown Canyon virus, a mosquito-borne virus, can cause asymptomatic infection, febrile illness, or neuroinvasive disease in humans. Previous studies have found Jamestown Canyon virus-specific antibodies in a 4-54% of people in various U.S. regions. To understand baseline seroprevalence in regions with the highest number of reported disease cases, we performed a serosurvey among blood donors. METHODS: We randomly selected blood donation specimens collected during December 2019-April 2020 from residents of counties reporting ≥2 disease cases in 2019 or one case in 2019 and ≥1 case during 2010-2018. Specimens were screened for Jamestown Canyon virus-specific neutralizing antibodies and, if positive, tested for IgM antibodies. We estimated county population seroprevalence by calibrating sample weights to population census data. RESULTS: Fourteen counties in three states, Massachusetts, Minnesota, and Wisconsin, met the inclusion criteria. Within each state, average county seroprevalence ranged from 16.8% (95% CI: 9.3%-27.0%) to 18.8% (95% CI: 14.0%-24.4%) for Jamestown Canyon virus neutralizing antibodies and from 7.6% (95% CI: 4.2%-12.5%) to 13.5% (95% CI: 9.6%-18.3%) for both neutralizing and IgM antibodies. CONCLUSIONS: Estimated Jamestown Canyon virus seroprevalence, including for IgM antibodies, is elevated in endemic areas, complicating the interpretation of serologic testing in diagnosing acute disease in symptomatic individuals. Diagnosing Jamestown Canyon virus disease requires a high degree of clinical suspicion, ruling out other possible causes of illness, and if possible, collecting acute and convalescent samples. New assays to detect acute infection could improve diagnosis and public health surveillance for Jamestown Canyon virus disease.

To help achieve the End TB Strategy target of a 90% reduction in tuberculosis (TB) incidence by 2030, member states of the United Nations High-Level Meetings on TB called for improving provision of TB preventive treatment (TPT) for household contacts of persons with TB, who are at increased risk for infection and disease. However, TPT use among household contacts worldwide remained at 21% in 2023. The International Union Against Tuberculosis and Lung Disease, the Uganda Ministry of Health, and CDC piloted a comprehensive approach for increasing case finding and TPT coverage among household contacts of persons with TB. During November 1, 2023-September 30, 2024, a total of 521 index patients with TB disease were registered at six health facilities in Uganda. Home visits to index patients identified 1,913 household contacts, 1,739 (91.0%) of whom underwent TB symptom screening at home; 321 (18.5%) reported TB symptoms. Of 309 (96.3%) persons with TB symptoms who were further evaluated, 284 (91.9%) provided a sputum specimen for laboratory testing, including 270 (84.1% of those with symptoms) who did so during the home visit; 214 (69.3%) underwent chest radiography. Overall, 80 TB cases were diagnosed; in 61 (76.3%) persons, the diagnosis was based on radiographic findings. Among 1,496 HHCs eligible for TPT, 1,239 (82.8%) initiated treatment and 1,178 (95.1%) completed it. Global scale-up of this approach might help reach global TB elimination goals.

Brucella suis infection in the United States is typically from feral swine exposure. We describe a case of B. suis cardiac implantable device infection in a man exposed to meat and blood from feral swine in Florida, USA. The infection was diagnosed using culture, molecular diagnostics, and whole-genome sequencing.

This article is an example of "Lessons from the Field." In early 2021, a call to action resulted in an unprecedented surge of volunteers for Utah's public health system. This call to action was in support of the rollout of COVID-19 vaccine across the state and the need to vaccinate the population as quickly and efficiently as possible. In this case study, we describe the events that preceded the surge of volunteers as well as challenges and resolutions to volunteer onboarding. Additionally, we discuss the importance of collaboration between local health departments and the Utah Department of Health and Human Services and describe how the partnership was strengthened by this specific emergency response.

BACKGROUND: Medicare claims are frequently used to study Clostridioides difficile infection (CDI) epidemiology. However, they lack specimen collection and diagnosis dates to assign location of onset. Algorithms to classify CDI onset location using claims data have been published, but the degree of misclassification is unknown. METHODS: We linked patients with laboratory-confirmed CDI reported to four Emerging Infections Program (EIP) sites from 2016-2021 to Medicare beneficiaries with fee-for-service Part A/B coverage. We calculated sensitivity of ICD-10-CM codes in claims within ±28 days of EIP specimen collection. CDI was categorized as hospital, long-term care facility, or community-onset using three different Medicare claims-based algorithms based on claim type, ICD-10-CM code position, duration of hospitalization, and ICD-10-CM diagnosis code presence-on-admission indicators. We assessed concordance of EIP case classifications, based on chart review and specimen collection date, with claims case classifications using Cohen's kappa statistic. RESULTS: Of 12,671 CDI cases eligible for linkage, 9,032 (71%) were linked to a single, unique Medicare beneficiary. Compared to EIP, sensitivity of CDI ICD-10-CM codes was 81%; codes were more likely to be present for hospitalized patients (93.0%) than those who were not (56.2%). Concordance between EIP and Medicare claims algorithms ranged from 68% to 75%, depending on the algorithm used (κ = 0.56-0.66). CONCLUSION: ICD-10-CM codes in Medicare claims data had high sensitivity compared to laboratory-confirmed CDI reported to EIP. Claims-based epidemiologic classification algorithms had moderate concordance with EIP classification of onset location. Misclassification of CDI onset location using Medicare algorithms may bias findings of claims-based CDI studies.

BACKGROUND: During the U.S. COVID-19 Public Health Emergency (PHE), healthcare providers were required to report all administered COVID-19 vaccines in Immunization Information Systems (IIS), a key data source for vaccine effectiveness (VE) evaluations. Expiration of the PHE and commercialization of COVID-19 vaccines raised concerns about IIS data completeness. Parental report is an alternative source of vaccination data but might be inaccurate. METHODS: Using VE surveillance network data during May 2021-October 2023, we compared parent-reported and documented COVID-19 vaccine doses for patients aged 5-18 years admitted to 35 hospitals in 25 states, overall and by case/control status. We calculated percent agreement, kappa, sensitivity, specificity, and positive and negative predictive value (NPV) of parental report. We compared proportions of patients with discordant vaccination history by demographics and incident SARS-CoV-2 infection status. We estimated VE separately using parental report and independently documented sources. RESULTS: Among 3262 patients, agreement between parent-reported and documented COVID-19 vaccination doses was 88 % (kappa = 0.77). Most discordant pairs (346/390) were because of parental over-reporting of doses. Among patients documented as unvaccinated, most (specificity = 90 %) were reported as such by parents; nearly all reported as unvaccinated by parents had no documented vaccination (NPV = 99 %). Discordance decreased with shorter admission-to-interview intervals and varied regionally from 8 % in the Midwest to 16 % in the West. Proportions of discordant reports were similar between patients with and without SARS-CoV-2 infection (11 % vs 13 %). Median days from last vaccine dose to hospital admission was 167 (IQR: 86-288). VE of two doses (99 % original formula) against COVID-19-related hospitalization was 58 % using documented sources and 60 % using parental report. CONCLUSIONS: Parental report of COVID-19 vaccination agreed strongly with documented sources, especially among unvaccinated patients. Despite discrepancies from parental overreporting, VE estimates from both sources were similar. As reliance on parental report increases, reducing admission-to-interview time is important for accurate vaccination history.

We describe a case of alpha-gal syndrome (AGS) in a resident of Washington, USA, after local Ixodes pacificus tick bites, which were associated with IgE increases after diagnosis. AGS should be considered a potential cause of anaphylactic and allergic reactions in persons with tick exposures, regardless of geographic residence.

BACKGROUND: Nursing home residents experience a large burden of invasive methicillin-resistant Staphylococcus aureus (MRSA) infections. Data are limited regarding nursing home characteristics associated with differences in facility-level invasive MRSA rates. METHODS: We analyzed 2011-2015 data from CDC's Emerging Infections Program (EIP) active population- and laboratory-based surveillance for invasive MRSA cases within seven states. A nursing home-onset case was defined as MRSA cultured from a normally sterile site in a person living in a nursing home 3 days before culture collection. Facility rates were calculated as nursing home-onset cases per 100,000 resident-days. Nursing home resident-day denominators and facility characteristics were obtained from four Centers for Medicare & Medicaid Services (CMS) datasets. A general estimating equations model with a logit link assessed characteristics of the facilities with highest rates comprising 50% of nursing home MRSA cases ("high rates"). RESULTS: The 626 nursing homes in the surveillance area had 2824 invasive MRSA cases; 82% of facilities had at ≥1 case. The 20% of facilities with highest rates (≥3.84 cases/100,000 resident-days) had 50% of nursing home-onset cases. In multivariable regression, facilities with high rates were more likely to have CMS-derived characteristics of presence of a resident with a multidrug-resistant organism; or greater proportions of residents who were male, were short stay (in the facility <100 days), had a nasogastric or percutaneous gastrostomy tube, or require extensive assistance with bed repositioning; and more likely to be in an EIP area with higher hospital-onset MRSA rates. Higher registered nurses staffing levels (hours/resident/day) and higher proportions of White residents were associated with lower rates. CONCLUSIONS: Facilities with higher invasive MRSA rates served residents with more clinical and functional care needs. Increasing registered nurse staffing in high-risk facilities might assist with reduction of invasive MRSA rates. These findings could help prioritize nursing homes for future MRSA prevention work.

BACKGROUND: Household transmission of respiratory viruses may drive community spread. Few recent studies have examined household respiratory syncytial virus (RSV) transmission in the United States. METHODS: We conducted a prospective community-based cohort study from 1 June 2022 to 31 May 2023. Participants had blood samples collected and completed nasal swabs and surveys at least weekly, irrespective of symptoms. We tested serum for RSV antibody, nasal swabs by quantitative reverse transcription polymerase chain reaction (RT-qPCR), and performed whole genome sequencing. We evaluated secondary RSV transmission and associated risk factors based on a log-linear Poisson regression model. RESULTS: RSV was detected among 310 (10%) participants within 200 (20%) households. Most (94%) index cases were symptomatic. We identified 37 cases of potential secondary transmission within 14 days of a distinct index case (10%, 95% confidence interval [CI]: 7%, 14%); median age of index and secondary cases were 6 (interquartile range [IQR]: 3-10) and 35 (7-41) years, respectively, with 89% (24/27) of index cases aged 6 months to 12 years. Factors associated with increased risk of RSV transmission included index case viral detection ≥1 week and contact age ≤12 years. Of 120 sequenced specimens, the main lineages represented were A.d.5.2 (n = 37) and A.d.1 (n = 30). Sequenced viruses from households with ≥2 RSV infections were similar when occurring within ≤14 days (mean pairwise difference 4 [range 0-13], n = 17 households), compared to those >14 days (137 [37-236], n = 2). CONCLUSIONS: Most RSV household transmission occurs from infants and young children to adults. Viral genome sequencing demonstrated that multiple household infections within a 14-day period are likely due to within-household transmission.

BACKGROUND: Although numerous studies have demonstrated the effectiveness of interventions delivered by disease intervention specialists (DIS), relatively few studies have assessed their economic outcomes. We performed a systematic literature review of the cost, cost-effectiveness, and cost-benefit of DIS-delivered interventions for sexually transmitted infections (STIs) in the United States. METHODS: Building on a recent systematic review of the effectiveness of DIS-delivered interventions, we reviewed economic outcomes associated with these interventions for STIs. We searched articles indexed in MEDLINE, Web of Science, CINAHL, and ProQuest from 2000 through December 2022, using these inclusion criteria: addressed an intervention of DIS-delivered interventions for STIs including partner services; United States setting; and included estimates for program cost, cost-effectiveness, or cost-benefit. Findings were summarized through narrative synthesis. RESULTS: Seven studies met the inclusion criteria. Overall, DIS-delivered interventions including STI partner services can be a cost-effective use of public health resources. In some scenarios, the cost of these interventions can be completely offset by averted medical costs. Cost and cost-effectiveness estimates of DIS-delivered interventions can vary across geographic settings and under different epidemiologic conditions. CONCLUSIONS: Although scarce, the available evidence suggests DIS-delivered interventions including STI partner services are an efficient use of public health resources. Health economic modeling studies are needed to facilitate conversion of intermediate cost-effectiveness outcomes (e.g., cost per syphilis case identified and treated) into standard cost-effectiveness outcomes (e.g., cost per quality-adjusted life year [QALY] gained).

INTRODUCTION: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic, complex illness. No diagnostic tests exist; illness evaluation relies on medical history, physical exam, and laboratory tests. While more is known about ME/CFS in adults, it can affect children and adolescents as a chronic condition. METHODS: We implemented an ME/CFS pediatric educational activity (diagnosis, management, and communication) with medical, physician assistant, and nursing students at one university and with medical students at a second university. Pretests, two videos and slides, and posttests were completed in approximately 40 minutes. Evaluation included quantitative and qualitative measures for knowledge, attitudes, beliefs, confidence, and clinical information about ME/CFS. RESULTS: The first group included 31 students who reported low familiarity and clinical exposure to ME/CFS. At posttest, 25 students (81%) recognized ME/CFS as a medical condition compared to seven (23%) at pretest. Using 0-5 scales, mean pretest-to-posttest ability to diagnose increased from 1.0 to 3.5, and confidence to communicate increased from 1.4 to 3.9. The second group, including 26 students pretest and 19 posttest, also reported low familiarity and clinical exposure The posttest showed increased self-rated ability to diagnose (pretest M: 0.6, posttest M: 3.3) and confidence to communicate (pretest M: 1.4, posttest M: 3.7). Qualitative feedback for this group showed understanding of pediatric ME/CFS symptoms, management, and communication. DISCUSSION: This educational activity increased knowledge of ME/CFS as self-reported ability to make a diagnosis and increased confidence to communicate about pediatric ME/CFS. Participating students showed changes in attitudes towards ME/CFS as a medical condition.

American Indian (AI) communities in the Southwest have a high burden of invasive pneumococcal disease (IPD) and COVID-19. Through laboratory-based surveillance, the impact of the pandemic on IPD incidence and serotype distribution was evaluated in two AI communities. IPD rates were lower during the pandemic (21.8 vs. 39.0/100 000 pre-pandemic). Rates increased in 2021 compared to 2020 but not to pre-pandemic levels. Cases with SARS-CoV-2 co-infection had a higher case fatality rate (45.2% vs. 17.6% without co-infection). No significant change in serotype distribution was observed. Continued surveillance in these communities is critical to understand the changing IPD burden as the pandemic evolves.

BACKGROUND: To demonstrate the application and utility of geostatistical modelling to provide comprehensive high-resolution understanding of the population's protective immunity during a pandemic and identify pockets with sub-optimal protection. METHODS: Using data from a national cross-sectional household survey of 6620 individuals in the Dominican Republic (DR) from June to October 2021, we developed and applied geostatistical regression models to estimate and predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) spike (anti-S) antibodies (Ab) seroprevalence at high resolution (1 km) across heterogeneous areas. RESULTS: Spatial patterns in population immunity to SARS-CoV-2 varied across the DR. In urban areas, a one-unit increase in the number of primary healthcare units per population and 1% increase in the proportion of the population aged under 20 years were associated with higher odds ratios of being anti-S Ab positive of 1.38 (95% confidence interval [CI]: 1.35-1.39) and 1.35 (95% CI: 1.32-1.33), respectively. In rural areas, higher odds of anti-S Ab positivity, 1.45 (95% CI: 1.39-1.51), were observed with increasing temperature in the hottest month (per°C), and 1.51 (95% CI: 1.43-1.60) with increasing precipitation in the wettest month (per mm). CONCLUSIONS: A geostatistical model that integrates contextually important socioeconomic and environmental factors can be used to create robust and reliable predictive maps of immune protection during a pandemic at high spatial resolution and will assist in the identification of highly vulnerable areas.

PROBLEM/CONDITION: Approximately 800 foodborne illness outbreaks occur in the United States each year. These outbreaks include approximately 15,000 illnesses, 800 hospitalizations, and 20 deaths. Although illnesses from outbreaks account for a small portion of all foodborne illnesses, outbreak investigations reveal how these illnesses originate by offering crucial data through epidemiologic, environmental health, and laboratory analyses and aid in outbreak mitigation and prevention. PERIOD COVERED: 2014-2022. DESCRIPTION OF SYSTEM: The Foodborne Disease Outbreak Surveillance System (FDOSS), via the National Outbreak Reporting System (NORS), captures data from foodborne enteric illness outbreak investigations in the United States. Epidemiology or communicable disease control and environmental health programs of state and local health departments collect and voluntarily report the data to NORS, which is managed by CDC. These data include information about cases (e.g., case counts, symptoms, duration of illness, and health care-seeking behaviors), laboratory specimens, settings of exposure, implicated food items, and contributing factors (i.e., how the outbreak occurred). A foodborne illness outbreak is defined as two or more cases of a similar illness associated with a common exposure (e.g., shared food, venue, or experience). Data collected from an outbreak investigation help the investigator identify contributing factors to the outbreak. Contributing factors are food preparation practices, behaviors, and environmental conditions that lead to pathogens getting into food, growing in food, or surviving in food and are grouped into three categories: contamination (when pathogens and other hazards get into food), proliferation (when pathogens that are already present in food grow), and survival (when pathogens survive a process intended to kill or reduce them). RESULTS: A total of 2,677 (40.5%) foodborne illness outbreaks reported during 2014-2022 with information on contributing factors were included in this analysis. Foodborne outbreak periods were categorized into three time frames: 2014-2016 (first), 2017-2019 (second), and 2020-2022 (third). Of the 2,677 outbreaks, 1,142 (42.7%) occurred during the first time frame, 1,130 outbreaks (42.2%) during the second time frame, and 405 outbreaks (15.1%) during the third time frame. The proportion of bacterial outbreaks increased from the first (41.9%) to the third time frame (48.4%), and the proportion of viral outbreaks decreased (33.3% to 23.2%). Over the three time frames, the proportion of outbreaks with a contamination contributing factor decreased (85.6%, 83.6%, and 81.0%, respectively). The proportion of outbreaks with a proliferation contributing factor category decreased from the first (40.3%) to the second time frame (35.0%), then increased during the third time frame (35.1%), and the proportion of outbreaks with a survival contributing factor category decreased from the first (25.7%) to the second time frame (21.9%), then increased during the third time frame (25.7%). The proportion of outbreaks with aquatic animals as an implicated food item increased from the first (12.0%) to the second time frame (18.5%), then decreased during the third time frame (18.3%). The proportion of outbreaks with land animals as an implicated food item decreased from the first (16.7%) to the second time frame (14.2%), then increased during the third time frame (15.1%).For outbreaks with a contamination contributing factor, the proportion of food contaminated by an animal or environmental source before arriving at the point of final preparation increased over the three time frames (22.2%, 27.7%, and 32.3%, respectively), and the proportion of outbreaks with contamination from an infectious food worker through barehand contact with food decreased (20.5%, 15.2%, and 8.9%, respectively). For the proliferation category, the proportions of outbreaks associated with allowing foods to remain out of temperature control for a prolonged period during preparation and during food service or display decreased over the three time frames (15.2%, 12.2%, and 9.9%, respectively; and 13.6%, 10.4%, and 8.9%, respectively), and the proportion of improper cooling of food decreased from the first (9.4%) to the second time frame (8.8%), then increased during the third time frame (10.9%). For the survival category, the proportion of outbreaks associated with inadequate time and temperature control during initial cooking/thermal processing of food decreased from the first (12.1%) to the second time frame (9.6%) and increased during the third time frame (12.1%).For bacterial outbreaks, cross-contamination of foods was among the top five contributing factors during the first (22.0%) and second time frames (20.8%) but not during the third time frame. Inadequate time and temperature control during initial cooking of food was among the top five contributing factors during all three time frames (23.8%, 20.4% and 20.9%, respectively). Improper cooling was not among the top five contributing factors during the first and second time frames but was during the third time frame (17.3%). For viral outbreaks, contamination from an infectious food worker through barehand contact with food was among the most common contributing factors during the first (47.1%) and second time frames (37.7%) and decreased to the third most common contributing factor during the third time frame (28.7%). Contamination from an infectious food worker through gloved-hand contact with food was among the top five contributing factors during the first (32.1%) and second time frame (25.5%) and was the most common contributing factor during the third time frame (42.5%). INTERPRETATION: Many foodborne illness outbreaks occur because of contamination of food by an animal or environmental source before arriving at the point of final preparation. Most viral outbreaks are caused by contamination from ill food workers. The decrease in the proportion of viral outbreaks and the proportion of outbreaks with a contamination contributing factor during 2020-2022 might be attributed to effects from the COVID-19 pandemic. Nonpharmaceutical interventions (e.g., increased glove use, cleaning and disinfection, and closure of restaurant dining areas) implemented during the COVID-19 pandemic likely led to a reduction in norovirus, which is typically spread by infectious food workers. Two common contributing factors to bacterial outbreaks are allowing foods to remain out of temperature control for a prolonged period and inadequate time and temperature control during cooking. Proper time and temperature controls are needed to effectively eliminate bacterial pathogens from contaminated foods and ensure safe food operations. PUBLIC HEALTH ACTION: Retail food establishments can follow science-based food safety guidelines such as the Food and Drug Administration Food Code and Hazard Analysis and Critical Control Points (HACCP) plans. Restaurant managers can mitigate contamination by ill food workers by implementing written policies concerning ill worker management, developing contingency plans for staffing during worker exclusions, and addressing reasons why employees work while sick. Health department staff members who investigate outbreaks and conduct routine inspections can encourage restaurants to follow their HACCP plans and other verified food safety practices, such as cooling, to prevent outbreaks.

During 2018-2022, a resurgence of hepatitis A occurred in Florida, with 5,491 cases reported. Genotyping was performed on a convenience sample of cases through amplification and sequencing of the HAV VP1-P2B junction region. Virus isolates from 1,190 (22%) cases were genotyped; 69% were subgenotype IB, 30% were subgenotype IA, and 1% were subgenotype IIIA. Subgenotype IB was more common among cases reporting recent drug use or homelessness, whereas IA was more common among those reporting recent international travel and among men who have sex with men. Genotype IB infection was associated with a more than 4-fold greater odds of death compared to IA infection. A network analysis revealed 11 genomic clusters of 10 or more cases, with distinct temporal and spatial distributions. Case reports in 2023 decreased to below pre-2018 numbers, likely due to high population immunity following natural infection and extensive vaccination activities in the highest risk groups.

This case series investigates trends in time from onset of alpha-gal syndrome to diagnosis among patients with disease onset from 1977 to 2019. | eng