Summary Background Hand, foot, and mouth disease is a common childhood illness caused by enteroviruses. Increasingly, the disease has a substantial burden throughout east and southeast Asia. To ...better inform vaccine and other interventions, we characterised the epidemiology of hand, foot, and mouth disease in China on the basis of enhanced surveillance. Methods We extracted epidemiological, clinical, and laboratory data from cases of hand, foot, and mouth disease reported to the Chinese Center for Disease Control and Prevention between Jan 1, 2008, and Dec 31, 2012. We then compiled climatic, geographical, and demographic information. All analyses were stratified by age, disease severity, laboratory confirmation status, and enterovirus serotype. Findings The surveillance registry included 7 200 092 probable cases of hand, foot, and mouth disease (annual incidence, 1·2 per 1000 person-years from 2010–12), of which 267 942 (3·7%) were laboratory confirmed and 2457 (0·03%) were fatal. Incidence and mortality were highest in children aged 12–23 months (38·2 cases per 1000 person-years and 1·5 deaths per 100 000 person-years in 2012). Median duration from onset to diagnosis was 1·5 days (IQR 0·5–2·5) and median duration from onset to death was 3·5 days (2·5–4·5). The absolute number of patients with cardiopulmonary or neurological complications was 82 486 (case-severity rate 1·1%), and 2457 of 82486 patients with severe disease died (fatality rate 3·0%); 1617 of 1737 laboratory confirmed deaths (93%) were associated with enterovirus 71. Every year in June, hand, foot, and mouth disease peaked in north China, whereas southern China had semiannual outbreaks in May and September–October. Geographical differences in seasonal patterns were weakly associated with climate and demographic factors (variance explained 8–23% and 3–19%, respectively). Interpretation This is the largest population-based study up to now of the epidemiology of hand, foot, and mouth disease. Future mitigation policies should take into account the heterogeneities of disease burden identified. Additional epidemiological and serological studies are warranted to elucidate the dynamics and immunity patterns of local hand, foot, and mouth disease and to optimise interventions. Funding China–US Collaborative Program on Emerging and Re-emerging Infectious Diseases, WHO, The Li Ka Shing Oxford Global Health Programme and Wellcome Trust, Harvard Center for Communicable Disease Dynamics, and Health and Medical Research Fund, Government of Hong Kong Special Administrative Region.
To identify and compare antimicrobial treatment guidelines from African Union (AU) Member States.
We reviewed national government agency and public health institutes' websites and communicated with ...country or regional focal points to identify existing treatment guidelines from AU Member States. We included guidelines if they contained disease-, syndrome- or pathogen-specific treatment recommendations and if those recommendations included antimicrobial name or class, dosage and therapy duration. The scope of the review was limited to infections and clinical syndromes that often have a bacterial cause. We assessed treatment guidelines for alignment with the Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria. We compared treatment recommendations for various common bacterial infections or clinical syndromes described across national guidelines and those described in three World Health Organization guidelines.
We identified 31 treatment guidelines from 20 of the 55 (36%) AU Member States; several countries had more than one treatment guideline that met our inclusion criteria. Fifteen (48%) guidelines from 10 countries have been published or updated since 2015. Methods used to develop the guidelines were not well described. No guidelines were developed according to the GRADE approach. Antimicrobial selection, dosage and duration of recommended therapies varied widely across guidelines for all infections and syndromes.
AU Member States lack antimicrobial treatment guidelines that meet internationally accepted methods and that draw from local evidence about disease burden and antimicrobial susceptibility.
Understanding SARS-CoV-2 transmission within and among communities is critical for tailoring public health policies to local context. However, analysis of community transmission is challenging due to ...a lack of high-resolution surveillance and testing data. Here, using contact tracing records for 644,029 cases and their contacts in New York City during the second pandemic wave, we provide a detailed characterization of the operational performance of contact tracing and reconstruct exposure and transmission networks at individual and ZIP code scales. We find considerable heterogeneity in reported close contacts and secondary infections and evidence of extensive transmission across ZIP code areas. Our analysis reveals the spatial pattern of SARS-CoV-2 spread and communities that are tightly interconnected by exposure and transmission. We find that locations with higher vaccination coverage and lower numbers of visitors to points-of-interest had reduced within- and cross-ZIP code transmission events, highlighting potential measures for curtailing SARS-CoV-2 spread in urban settings.
The 2019 novel coronavirus disease (COVID-19) pandemic led many jurisdictions to close in-person school instruction.
We collected data about COVID-19 cases associated with New York City (NYC) public ...schools from polymerase chain reaction testing performed in each school on a sample of asymptomatic students and staff and from routine reporting. We compared prevalence from testing done in schools to community prevalence estimates from statistical models. We compared cumulative incidence for school-associated cases to all cases reported to the city. School-based contacts were monitored to estimate the secondary attack rate and possible direction of transmission.
To assess prevalence, we analyzed data from 234 132 persons tested for severe acute respiratory syndrome coronavirus 2 infection in 1594 NYC public schools during October 9 to December 18, 2020; 986 (0.4%) tested positive. COVID-19 prevalence in schools was similar to or less than estimates of prevalence in the community for all weeks. To assess cumulative incidence, we analyzed data for 2231 COVID-19 cases that occurred in students and staff compared with the 86 576 persons in NYC diagnosed with COVID-19 during the same period; the overall incidence was lower for persons in public schools compared with the general community. Of 36 423 school-based close contacts, 191 (0.5%) subsequently tested positive for COVID-19; the likely index case was an adult for 78.0% of secondary cases.
We found that in-person learning in NYC public schools was not associated with increased prevalence or incidence overall of COVID-19 infection compared with the general community.
The World Health Organization recommends the screening of all people living with HIV for tuberculosis (TB) disease, followed by TB treatment, or isoniazid preventive therapy (IPT) when TB is ...excluded. However, the difficulty of reliably excluding TB disease has severely limited TB screening and IPT uptake in resource-limited settings. We conducted an individual participant data meta-analysis of primary studies, aiming to identify a sensitive TB screening rule.
We identified 12 studies that had systematically collected sputum specimens regardless of signs or symptoms, at least one mycobacterial culture, clinical symptoms, and HIV and TB disease status. Bivariate random-effects meta-analysis and the hierarchical summary relative operating characteristic curves were used to evaluate the screening performance of all combinations of variables of interest. TB disease was diagnosed in 557 (5.8%) of 9,626 people living with HIV. The primary analysis included 8,148 people living with HIV who could be evaluated on five symptoms from nine of the 12 studies. The median age was 34 years. The best performing rule was the presence of any one of: current cough (any duration), fever, night sweats, or weight loss. The overall sensitivity of this rule was 78.9% (95% confidence interval CI 58.3%-90.9%) and specificity was 49.6% (95% CI 29.2%-70.1%). Its sensitivity increased to 90.1% (95% CI 76.3%-96.2%) among participants selected from clinical settings and to 88.0% (95% CI 76.1%-94.4%) among those who were not previously screened for TB. Negative predictive value was 97.7% (95% CI 97.4%-98.0%) and 90.0% (95% CI 88.6%-91.3%) at 5% and 20% prevalence of TB among people living with HIV, respectively. Abnormal chest radiographic findings increased the sensitivity of the rule by 11.7% (90.6% versus 78.9%) with a reduction of specificity by 10.7% (49.6% versus 38.9%).
Absence of all of current cough, fever, night sweats, and weight loss can identify a subset of people living with HIV who have a very low probability of having TB disease. A simplified screening rule using any one of these symptoms can be used in resource-constrained settings to identify people living with HIV in need of further diagnostic assessment for TB. Use of this algorithm should result in earlier TB diagnosis and treatment, and should allow for substantial scale-up of IPT.
Early detection and ongoing monitoring of infectious diseases depends on diagnostic testing. The US has a large, diverse system of public, academic, and private laboratories that develop new ...diagnostic tests; perform routine testing; and conduct specialized reference testing, such as genomic sequencing. These laboratories operate under a complex mix of laws and regulations at the federal, state, and local levels. The COVID-19 pandemic exposed major weaknesses in the nation's laboratory system, some of which were seen again during the global mpox outbreak in 2022. In this article we review how the US laboratory system has been designed to detect and monitor emerging infections, describe what gaps were revealed during COVID-19, and propose specific steps that policy makers can take both to strengthen the current system and to prepare the US for the next pandemic.
Although pneumonia is a leading cause of death in New York City (NYC), limited data exist about the settings in which pneumonia is acquired across NYC. Cases of pneumonia acquired in community ...settings are more likely to be preventable with vaccines and treatable with first-line antibiotics than those acquired in noncommunity settings. The objective of this study was to estimate the burden of hospitalizations associated with community-acquired (CAP), health-care-associated (HCAP), hospital-acquired (HAP), and ventilator-associated (VAP) pneumonia from 2010 to 2014.
This retrospective analysis was performed by using an all-payer reporting system of hospital discharges that included NYC residents aged ≥ 18 years. Pneumonia-associated hospitalizations were defined as any hospitalization that included a diagnostic code for pneumonia among any of the discharge diagnoses. Using published clinical guidelines, we classified hospitalizations into mutually exclusive categories of CAP, HCAP, HAP, and VAP and defined pneumonia acquired in the community setting as the combination of CAP and HCAP.
Of 4,614,108 hospitalizations during the reporting period, 283,927 (6.2%) involved pneumonia. Among pneumonia-associated hospitalizations, 154,158 (54.3%) were CAP, 85,656 (30.2%) were HCAP, 39,712 (14.0%) were HAP, and 4,401 (1.6%) were VAP. Death during hospitalization occurred in 7.9% of CAP-associated hospitalizations, compared with 15.6% of HCAP-associated hospitalizations, 20.7% of HAP-associated hospitalizations, and 21.6% of VAP-associated hospitalizations.
Most pneumonia-associated hospitalizations in NYC involve pneumonias acquired in the community setting. Although 15.6% of pneumonia-associated hospitalizations were categorized as HAP or VAP, these pneumonias accounted for > 25% of deaths from pneumonia-associated hospitalizations. Public health pneumonia prevention efforts need to target both community and hospital settings.
Understanding community transmission of SARS-CoV-2 variants of concern (VOCs) is critical for disease control in the post pandemic era. The Delta variant (B.1.617.2) emerged in late 2020 and became ...the dominant VOC globally in the summer of 2021. While the epidemiological features of the Delta variant have been extensively studied, how those characteristics shaped community transmission in urban settings remains poorly understood.
Using high-resolution contact tracing data and testing records, we analyze the transmission of SARS-CoV-2 during the Delta wave within New York City (NYC) from May 2021 to October 2021. We reconstruct transmission networks at the individual level and across 177 ZIP code areas, examine network structure and spatial spread patterns, and use statistical analysis to estimate the effects of factors associated with COVID-19 spread.
We find considerable individual variations in reported contacts and secondary infections, consistent with the pre-Delta period. Compared with earlier waves, Delta-period has more frequent long-range transmission events across ZIP codes. Using socioeconomic, mobility and COVID-19 surveillance data at the ZIP code level, we find that a larger number of cumulative cases in a ZIP code area is associated with reduced within- and cross-ZIP code transmission and the number of visitors to each ZIP code is positively associated with the number of non-household infections identified through contact tracing and testing.
The Delta variant produced greater long-range spatial transmission across NYC ZIP code areas, likely caused by its increased transmissibility and elevated human mobility during the study period. Our findings highlight the potential role of population immunity in reducing transmission of VOCs. Quantifying variability of immunity is critical for identifying subpopulations susceptible to future VOCs. In addition, non-pharmaceutical interventions limiting human mobility likely reduced SARS-CoV-2 spread over successive pandemic waves and should be encouraged for reducing transmission of future VOCs.
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