Hand, Foot And Mouth Disease Cases Research Articles

Effects of extreme meteorological factors and high air pollutant concentrations on the incidence of hand, foot and mouth disease in Jining, China.

The evidence on the effects of extreme meteorological conditions and high air pollution levels on incidence of hand, foot and mouth disease (HFMD) is limited. Moreover, results of the available studies are inconsistent. Further investigations are imperative to elucidate the specific issue. Data on the daily cases of HFMD, meteorological factors and air pollution were obtained from 2017 to 2022 in Jining City. We employed distributed lag nonlinear model (DLNM) incorporated with Poisson regression to explore the impacts of extreme meteorological conditions and air pollution on HFMD incidence. We found that there were nonlinear relationships between temperature, wind speed, PM2.5, SO2, O3 and HFMD. The cumulative risk of extreme high temperature was higher at the 95th percentile (P95th) than at the 90th percentile(P90th), and the RR values for both reached their maximum at 10-day lag (P95th RR = 1.880 (1.261-2.804), P90th RR = 1.787 (1.244-2.569)), the hazardous effect of extreme low temperatures on HFMD is faster than that of extreme high temperatures. The cumulative effect of extreme low wind speeds reached its maximum at 14-day lag (P95th RR = 1.702 (1.389-2.085), P90th RR = 1.498(1.283-1.750)). The cumulative effect of PM2.5 concentration at the P90th was largest at 14-day lag (RR = 1.637 (1.069-2.506)), and the cumulative effect at the P95th was largest at 10-day lag (RR = 1.569 (1.021-2.411)). High SO2 concentration at the P95th at 14-day lag was associated with higher risk for HFMD (RR: 1.425 (1.001-2.030)). Our findings suggest that high temperature, low wind speed, and high concentrations of PM2.5 and SO2 are associated with an increased risk of HFMD. This study not only adds insights to the understanding of the impact of extreme meteorological conditions and high levels of air pollutants on HFMD incidence but also holds practical significance for the development and enhancement of an early warning system for HFMD.

Epidemiological and Clinical Profile of Hand, Foot, and Mouth Disease in Children in a Tertiary Care Center in Jammu.

Background Hand, foot, and mouth disease (HFMD) is a viral illness commonly seen in children under five years of age, characterized by typical manifestations such as oral lesions and rashes on the hands and feet. Coxsackievirus A-16 (CV-A16) and Enterovirus A-71 (EV-A71) are the major etiological agents of this disease. Over the past two decades, there have been several outbreaks of HFMD all across India. As there is no chemoprophylaxis available for the disease, it becomes even more significant to conduct regular research and surveillance for HFMD. Aim and objective To observe the clinico-epidemiologicalprofile along with constitutional symptoms in HFMD patients attending pediatric OPD. Methods This hospital-based prospective observational study was conducted in the Post Graduate Department of Pediatrics, Acharya Shri Chander College of Medical Sciences and Hospital (ASCOMS & H), Sidra, Jammu and Kashmir, India, oversix months from April to September 2023. A total of 132 children with symptoms of HFMD visited the pediatric OPD. After using inclusive and exclusive criteria, we selected a sample size of 112 children with HFMD. The descriptive data were expressed in terms of percentages and proportions, and their graphical representation was done using MS Excel (Microsoft Corporation, Redmond, Washington, United States). Results Among the 112 HFMD patients examined, the highest peak was seen in August, followed by another one in September. Most of the cases were seen in the age group of zero to three years, and it was observed that there wasa linear fall in the number of cases with the increase in age. Nearly 61% of cases were male, showing a slight male preponderance. Vesiculopapular rash on the hand and foot was the most common clinical characteristic, whereas painful deglutitionwas noted to be the most common constitutional symptom in HFMD patients. About 27% had a positive family history, and nail changes post-recovery were present in 1.79% of cases during their regular follow-ups. Conclusions This study reveals that HFMD cases surged in August and September, with a history of contact in one-fourth of cases. Disease is seen more commonly in children under three years of age, and the incidence of cases decreases with the increase in age. The illness is usually contagious and can spread quickly; therefore, more awareness programs should be done toeducate parents and promote hygiene to prevent contact cases.

Impact of the COVID-19 pandemic on the epidemiology of hand-foot-and-mouth disease and varicella in a general hospital in Guangzhou, China

We retrospectively reviewed the medical records of patients with hand-foot-and-mouth disease (HFMD) and varicella treated in a general hospital in Guangzhou, China between 2017 and 2023 to evaluate the effect of the coronavirus disease 2019 (COVID-19) on the epidemiology of HFMD and varicella in Guangzhou. The epidemiological characteristics of HFMD and varicella before (2017–2019), during (2020–2022), and after (2023) the pandemic were compared. In total, 1731 cases of HFMD and 1043 cases of varicella were reported before the COVID-19 pandemic (2017–2019), with average reporting rates of 0.08% and 0.05%, respectively. During the COVID-19 pandemic (2020–2022), the number of reported cases of HFMD and varicella decreased to 571 and 389, respectively, with average reporting rates of 0.03% and 0.02%, respectively, which were significantly different from those in the pre-pandemic period (P < 0.001). In the post-pandemic period (2023), the reporting rate of HFMD was 0.07%, showing a marked increase compared with that in 2022 (P < 0.001). However, the difference in the reporting rate of varicella in 2023 did not differ significantly from that in 2022 (P =0.204). These results suggest that non-pharmaceutical interventions implemented during the COVID-19 pandemic might be helpful in preventing the spread of HFMD and varicella.

How multiple air pollutants affect hand, foot, and mouth disease incidence in children: assessing effect modification by geographical context in multicity of Sichuan, southwest China

BackgroundSeveral studies have suggested a significant association of hand, foot, and mouth disease (HFMD) with ambient air pollutants. Existing studies have characterized the role of air pollutants on HFMD using only risk ratio measures while ignoring the attributable burden. And whether the geographical context (i.e., diverse topographic features) could modulate the relationships is unclear.MethodsDaily reported childhood HFMD counts, ambient air pollution, and meteorological data during 2015–2017 were collected for each of 21 cities in Sichuan Province. A multistage analysis was carried out in different populations based on geographical context to assess effect modification by topographic conditions. We first constructed a distributed lag nonlinear model (DLNM) for each city to describe the relationships with risk ratio measures. Then, we applied a multivariate meta-regression to estimate the pooled effects of multiple air pollutants on HFMD from the exposure and lagged dimensions. Finally, attributable risks measures were calculated to quantify HFMD burden by air pollution.ResultsBased on 207554 HFMD cases in Sichuan Province, significant associations of HFMD with ambient air pollutants were observed mainly at relatively high exposure ranges. The effects of ambient air pollutants on HFMD are most pronounced on lag0 or around lag7, with relative risks gradually approaching the reference line thereafter. The attributable risks of O3 were much greater than those of other air pollutants, particularly in basin and mountain regions.ConclusionsThis study revealed significant pooled relationships between multiple air pollutants and HFMD incidence from both exposure and lag dimensions. However, the specific effects, including RRs and ARs, differ depending on the air pollution variable and geographical context. These findings provide local authorities with more evidence to determine key air pollutants and regions for devising and implementing targeted interventions.

Assessing the impact of COVID-19 interventions on the hand, foot and mouth disease in Guangdong Province, China: a Bayesian modeling study.

The non-pharmaceutical interventions (NPIs) against COVID-19 may have affected the transmission of hand, foot and mouth disease (HFMD). We aimed to assess the impact of the NPIs on HFMD in the high epidemic area of HFMD, Guangdong Province. The data of HFMD cases, etiological information, and meteorological factors in Guangdong from January 1, 2012, to December 31, 2021, were collected. Using a Bayesian structural time series (BSTS) model integrated counterfactual framework, we assessed the effect of NPIs on HFMD by different intervention periods, populations (gender, age, occupation), and cities. We further explored the correlation between the reduction of HFMD and socioeconomic factors in 21 cities. A total of 351,217 HFMD cases were reported and 455,327 cases were averted in Guangdong Province during 2020-2021 with a reduction of 84.94% (95%CI: 81.63-87.22%) in 2020 and 29.49% (95%CI: 15.26-39.54%) in 2021. The impact of NPIs on HFMD differed by age and gender. The effects of NPIs were more remarkable for children aged 0-2 years and scattered children. We found that the relative reductions in 21 cities were related to the composition ratio of children and COVID-19 incidence. The reduction of HFMD incidence was significantly associated with COVID-19 NPIs, and school closure was an effective intervention to prevent HFMD outbreaks. Our findings will contribute to the development of HFMD prevention and control measures.

Non-linear association between daily mean temperature and children’s hand foot and mouth disease in Chongqing, China

Chongqing was seriously affected by hand, foot, and mouth disease (HFMD), but the relationships between daily mean temperature and the incidence of HFMD remain unclear. This study used distributed lag nonlinear model to evaluate the effect of daily mean temperature on the incidence of HFMD in children aged < 5 years in Chongqing. Daily HFMD data from 2012 to 2019 in Chongqing were retrieved from the notifiable infectious disease surveillance system. A total of 413,476 HFMD cases aged < 5 years were reported in Chongqing from 2012 to 2019. The exposure–response curve of daily mean temperature and daily HFMD cases was wavy-shaped. The relative risks (RRs) increased as daily mean temperature below 5.66 °C or above 9.43 °C, with two peaks at 16.10 °C and 26.68 °C. The RRs reached the highest when the daily mean temperature at 26.68 °C on the current day (RR = 1.20, 95% CI 1.09–1.32), followed by the daily mean temperature at 16.10 °C at lag 5 days (RR = 1.07, 95% CI 1.05–1.08). The RRs for girls and daycare children were much higher than those for boys and scattered children, respectively. Taken together, daily mean temperature has strong effect on HFMD in children aged < 5 years old in Chongqing, particularly for girls and daycare children.

Identification Of Local Clusters Of Hand Foot And Mouth Disease Based On Local Geary C Statistic

Background: Hand, foot, and mouth disease (HFMD) is a common childhood illness caused by enteroviruses. Increasingly, the disease has a substantial burden throughout Vietnam. To better understand of the epidemiology of HFMD, this study aims to investigate the use of local Geary’s C statistic in the identification of local clusters of HFMD in Ho Chi Minh city, Vietnam. Methods: Histogram was first used to study the distribution of HFMD cases the incidence of HFMD. Local Geary C statistics was then applied to identify the spatial clusters of HFMD cases and HFMD incidence including high-high, low-low, negative and other positive clusters. Finally, HFMD cases and infection rates collected in Ho Chi Minh were used to explore the spatial clusters of HFMD. Results: It was found that, in the case of using HFMD cases, two high-high clusters in District 12 and Binh Tan in the city center, one low-low cluster in District 5 in the east of the city center and two negative clusters in Binh Thanh and District 7 in the west of the city were successfully detected. On the other hand, in the case of using HFMD infection rates, a total of three high-high clusters, one low-low cluster, one negative and one other positive clusters were successfully detected, in which, the three high-high clusters were found in the districts of Binh Tan (289 cases/100,000 inhabitants), Binh Chanh (283 cases/100,000 inhabitants) and Tan Phu (281 cases/100,000 inhabitants) in the east of the city. Conclusions: findings in this study confirm the usefulness of local Geary’s C statistic in the identification of spatial clusters of HFMD.

Potential relevance of salivary legumain for the clinical diagnostic of hand, foot, and mouth disease.

The fight against hand, foot, and mouth disease (HFMD) remains an arduous challenge without existing point-of-care (POC) diagnostic platforms for accurate diagnosis and prompt case quarantine. Hence, the purpose of this salivary biomarker discovery study is to set the fundamentals for the realization of POC diagnostics for HFMD. Whole salivary proteome profiling was performed on the saliva obtained from children with HFMD and healthy children, using a reductive dimethylation chemical labeling method coupled with high-resolution mass spectrometry-based quantitative proteomics technology. We identified 19 upregulated (fold change = 1.5-5.8) and 51 downregulated proteins (fold change = 0.1-0.6) in the saliva samples of HFMD patients in comparison to that of healthy volunteers. Four upregulated protein candidates were selected for dot blot-based validation assay, based on novelty as biomarkers and exclusions in oral diseases and cancers. Salivary legumain was validated in the Singapore (n = 43 healthy, 28 HFMD cases) and Taiwan (n = 60 healthy, 47 HFMD cases) cohorts with an area under the receiver operating characteristic curve of 0.7583 and 0.8028, respectively. This study demonstrates the feasibility of a broad-spectrum HFMD POC diagnostic test based on legumain, a virus-specific host systemic signature, in saliva.

Surveillance, epidemiology, and impact of the coronavirus disease 2019 interventions on the incidence of enterovirus infections in Nanchang, China, 2010-2022.

Pathogen spectrum of Hand, foot and mouth disease (HFMD) has substantially changed in the past decade in China. Growing evidence has indicated that anti-COVID-19 nonpharmaceutical interventions (NPIs) can support control of various infectious diseases, including intestinal diseases. In this study, HFMD cases were enrolled from sentinel hospitals of Nanchang, Jiangxi province, and enteroviruses were genotyped using specific real time RT-PCR. We systematically characterized the epidemiology of HFMD based on the continuous molecular surveillance and estimated the impact of COVID-19 intervention on HFMD incidence using seasonal autoregressive integrated moving average (ARIMA) models. A total of 10247 HFMD cases were included during 2010-2022, of which 6121 enterovirus (EV)-positive cases (59.7%) were identified by real-time RT-PCR. Over 80% cases were associated with EV-A71 and coxsackievirus A16 (CVA16) during 2010-2012, while the type distribution significantly changed as CVA6 emerged to be dominant, accounting for 22.6%-59.6% during 2013-2022. It was observed that the prevalence patterns of EV-A71 and CVA16 were similar and both of them peaked in the second quarter and then leveled off. However, CVA6 was generally prevalent around the fourth quarter, demonstrating a staggered prevalence during 2010-2019. During the COVID-19 epidemic, the seasonal HFMD epidemic peak was restrained, and the ARIMA analysis indicated that the COVID-19 intervention had mitigated EV transmission during the first COVID-19 outbreak in early 2020. In addition, bivariate Spearman's cross-correlation coefficients were estimated for the major types CVA6, CVA16 and EV-A71. Our analyses indicated the possible existence of correlations among CVA6, CVA16 and EV-A71 prevalence in the epidemiological level. Taken together, the type distribution of HFMD has substantially changed over the last decade and CVA6 and CVA16 are currently the most predominant types co-circulating in Nanchang. The anti-COVID-19 NPIs significantly reduced the incidence of EV infections.

Molecular evolutionary dynamics of enterovirus A71, coxsackievirus A16 and coxsackievirus A6 causing hand, foot and mouth disease in Thailand, 2000–2022

Hand, foot and mouth disease (HFMD) is a public health threat worldwide, particularly in the Asia–Pacific region. Enterovirus A71 (EV-A71), coxsackievirus A16 (CVA16), and CVA6 are the major pathogens causing HFMD outbreaks in several countries, including Thailand. We retrieved 385 VP1 nucleotide sequences, comprising 228 EV-A71, 33 CVA16, and 124 CVA6, deposited in the databases between 2000 and 2022 for molecular evolutionary characterization using Bayesian phylogeny. All EV-A71 identified belonged to genotype B, subgenotypes B4, and B5, and to genotype C, subgenotypes C1, C2, C4a, C4b, and C5. The analyzes demonstrated these viruses’ co-circulation and subgenotypic changes throughout the past two decades. The CVA16 was grouped in genotype B1, predominantly subgenotype B1a, and the CVA6 was grouped in subgenotype D3, clades 1–4. The tMRCA of EV-A71 genotypes B and C, CVA16 B1, and CVA6 D3 dated 1993.79, 1982.62, 1995.86, and 2007.31, respectively, suggesting that the viruses were likely introduced and cryptically circulated in Thailand before the HFMD cases were recognized. We demonstrated these viruses’ fluctuation and cyclical pattern throughout the two decades of observation. This study provided insight into evolutionary dynamics concerning molecular epidemiology and supported the selection of current genotype-matched vaccines, vaccine development, and implementation.

Impact of meteorological factors on the incidence of hand-foot-mouth disease in Yangzhou from 2017 to 2022: a time series study.

Hand, foot, and mouth disease (HFMD) is a significant public health issue in China, and numerous studies have indicated a close association between HFMD incidence and meteorological factors. This study aims to investigate the relationship between meteorological factors and HFMD in Yangzhou City, Jiangsu Province, China. HFMD case reports and meteorological data from Yangzhou City between 2017 and 2022 were extracted from the National Notifiable Infectious Disease Surveillance System and the Meteorological Data Sharing Service System, respectively. A generalized additive model (GAM) was employed to assess the exposure-response relationship between meteorological factors and HFMD. Subsequently, a distributed lag nonlinear model (DLNM) was used to explore the exposure-lag-effect of meteorological factors on HFMD. HFMD in Yangzhou City exhibits obvious seasonality and periodicity. There is an inverted "U" shaped relationship between average temperature and the risk of HFMD, with the maximum lag effect observed at a temperature of 25°C with lag 0 day (RR = 2.07, 95% CI: 1.74-2.47). As the duration of sunshine and relative humidity increase, the risk of HFMD continuously rises, with the maximum lag effect observed at a sunshine duration of 12.4 h with a lag of 14 days (RR = 2.10, 95% CI: 1.17-3.77), and a relative humidity of 28% with a lag of 14 days (RR = 1.21, 95% CI: 1.01-1.64). There is a "U" shaped relationship between average atmospheric pressure and the risk of HFMD, with the maximum effect observed at an atmospheric pressure of 989 hPa with no lag (RR = 1.45, 95% CI: 1.25-1.69). As precipitation increases, the risk of HFMD decreases, with the maximum effect observed at a precipitation of 151 mm with a lag of 14 days (RR = 1.45, 95% CI: 1.19-2.53). Meteorological factors including average temperature, average atmospheric pressure, relative humidity, precipitation, and sunshine duration significantly influenced the risk of HFMD in Yangzhou City. Effective prevention measures for HFMD should be implemented, taking into account the local climate conditions.

Epidemiological and molecular characterization of Coxsackievirus A6 causing hand, foot, and mouth disease in the Philippines, 2012-2017.

Coxsackievirus A6 (CVA6) is emerging as the dominant serotype among enteroviruses (EVs) responsible for hand, foot, and mouth disease (HFMD) outbreaks in multiple countries. However, details regarding this serotype in the Philippines are limited. In this study, we investigated the epidemiological and molecular characteristics of laboratory-confirmed CVA6 HFMD cases in the Philippines between 2012 and 2017. Data collected from case report forms submitted to the National Reference Laboratory for Poliovirus and other Enteroviruses were used to determine the distribution and clinical findings of laboratory-confirmed CVA6 HFMD. Phylogenetic analyses of the complete viral protein 1 (VP1) and partial 3D polymerase (3Dpol) gene sequences were performed to determine the genotype and recombinant (RF) form of the selected samples. An increase in the detection rate of CVA6 among enterovirus-positive HFMD cases was observed from 61.9% (140/226) in 2012 to 88.1% (482/587) in 2017, with most cases coming from the Luzon island group. Among the detected cases, the majority were children, with a median age of 2 years old (interquartile range: 1.17-3.40). Respiratory-related morbidities were the commonly reported complications (7.9%; 72/907). Based on the VP1 and 3Dpol gene sequence analysis, the CVA6 strains in this study were classified as genotype D3b and RF-A group, respectively. This study elucidated that CVA6 was the most prevalent enterovirus serotype causing HFMD in the Philippines in 2012-2017, with genotype D3b/RF-A circulating within this period. This study highlights the importance of viral surveillance and molecular epidemiological analysis to broaden our understanding of HFMD in the Philippines.

Spatial Patterns Of Hand-Foot And Mouth Disease In Ho Chi Minh City, Vietnam

Background: Hand-Foot-and-Mouth Disease (HFMD) is most frequently caused by Enterovirus71 (EV-A71) or Coxsackie virus A16 (CV-A16), infants and young children are at greatest risk. Describing the spatial patterns of HFMD can help develop and better target interventions. The objective of this study is to identify spatial patterns of HFMD in the first 8-months of 2023 in Ho Chi Minh city, Vietnam. Methods: The global Moran’s I statistic, Moran’s I scatterplot and local Moran’s I statistic and Boxplot will be applied to study spatial patterns of HFMD. Spatial patterns including spatial clusters (high-high and low-low) and spatial outliers (low-high and high-low) will be identified for HFMD cases and HFMD infection rates. Results: three high-high spatial clusters were mainly distributed in districts in the western region of the city such as Binh Tan, Binh Chanh, and Tan Phu. These high-high spatial clusters belonged to districts having the highest rates of HFMD infections in the city with their corresponding rates of 289, 283 and 281 cases/100,000 inhabitants, respectively. On the other hand, two low-low spatial clusters were detected in Districts 1 and 5 in the city center with their HFMD infection rates of 190 and 209 cases/100,000 inhabitants, respectively. Conclusions : findings in this study support the usefulness of boxplots, local and global Moran’s I statistics, and Moran’s I scatterplots in the identification of spatial clusters and spatial outliers of HFMD.

Evaluation of models for multi-step forecasting of hand, foot and mouth disease using multi-input multi-output: A case study of Chengdu, China.

Hand, foot and mouth disease (HFMD) is a public health concern that threatens the health of children. Accurately forecasting of HFMD cases multiple days ahead and early detection of peaks in the number of cases followed by timely response are essential for HFMD prevention and control. However, many studies mainly predict future one-day incidence, which reduces the flexibility of prevention and control. We collected the daily number of HFMD cases among children aged 0-14 years in Chengdu from 2011 to 2017, as well as meteorological and air pollutant data for the same period. The LSTM, Seq2Seq, Seq2Seq-Luong and Seq2Seq-Shih models were used to perform multi-step prediction of HFMD through multi-input multi-output. We evaluated the models in terms of overall prediction performance, the time delay and intensity of detection peaks. From 2011 to 2017, HFMD in Chengdu showed seasonal trends that were consistent with temperature, air pressure, rainfall, relative humidity, and PM10. The Seq2Seq-Shih model achieved the best performance, with RMSE, sMAPE and PCC values of 13.943~22.192, 17.880~27.937, and 0.887~0.705 for the 2-day to 15-day predictions, respectively. Meanwhile, the Seq2Seq-Shih model is able to detect peaks in the next 15 days with a smaller time delay. The deep learning Seq2Seq-Shih model achieves the best performance in overall and peak prediction, and is applicable to HFMD multi-step prediction based on environmental factors.

Epidemiology of hand, foot and mouth disease and genomic surveillance of coxsackievirus A10 circulating in Zhejiang Province, China during 2017 to 2022.

Coxsackievirus A10 (CA10) is one of the etiological agents associated with hand, foot and mouth disease (HFMD). We aimed to perform a retrospective analysis of the molecular epidemiological characteristics and genetic features of HFMD associated with CA10 infections in Zhejiang Province from 2017 to 2022. Epidemiologic features were summarized. Throat swab specimens were collected and tested. The VP1 regions were sequenced for genotyping. CA10 positive samples were isolated. Whole genomes of CA10 isolations were sequenced. Nucleotide and amino acid changes were characterized. Phylogenetic trees were constructed. The number of HFMD cases fluctuated from 2017 to 2022. Children aged below 3 years accounted for the majority (66.29%) and boys were more frequently affected than girls. Cases peaked in June. The positivity rate of HEV was 62.69%. A total of 90 strains of CA10 were isolated and 53 genomes were obtained. All CA10 in this study could be assigned to two genogroups, C (C2) and F (F1 and F3). The clinical manifestations of HFMD associated with HEV are complex and diverse. CA10 infection may be emerging as a new and major cause of HFMD because an upward trend was observed in the proportion of CA10 cases after the use of EV71 vaccines. Different genogroups of CA10 had different geographic distribution patterns. Surveillance should be strengthened and further comprehensive studies should be continued to provide a scientific basis for HFMD prevention and control.

The Effect of COVID-19 on Infectious Disease to Outpatient of Children: A Machine Learning Study

The outbreak of coronavirus disease 2019 (COVID-19) has had a significant impact worldwide. However, the effects of COVID-19 on human enteroviruses such as Herpangina and Hand, Foot, and Mouth Disease (HFMD) in children are still not fully understood. This study aimed to analyze the reported cases of Herpangina and HFMD among child outpatients in Hangzhou, China, from January 2018 to June 2021, before, during, and after the COVID-19 outbreak. Machine learning approaches were employed to analyze the time series data of Herpangina and HFMD from 2018 to 2019 and predict the trends and seasonal patterns from 2020 to 2021. The seasonal patterns at weekly and monthly levels were compared across the three stages of the COVID-19 outbreak. Prior to 2020, the reported incidence of Herpangina and HFMD exhibited a certain degree of seasonal periodicity. However, following the COVID-19 outbreak in 2020, there was a sharp decrease in the cases of Herpangina and HFMD, followed by a rebound in the first half of 2021. The observed cases reached their highest peak in July 2020, showing a decrease of 93.6% for Herpangina and 96.5% for HFMD compared to the predicted values. These findings indicate that the COVID-19 outbreak had a significant impact on the transmission of Herpangina and HFMD. Therefore, integrated strategies should be implemented to control and prevent the resurgence of Herpangina and HFMD, alongside the effective management of COVID-19.

Monitoring hand foot and mouth disease using long-term wastewater surveillance in Japan: Quantitative PCR assay development and application

Hand, foot, and mouth disease (HFMD) is a highly contagious disease that primarily affects children under five years of age. It is mainly caused by serotypes of Enterovirus A (EVA): EVA71, Coxsackievirus A types 6 (CVA6), 10 (CVA10), and 16 (CVA16). Despite being highly prevalent in Japan and other countries in the Asia-Pacific region, few studies have investigated HFMD pathogens in wastewater. The present study aimed to develop a highly sensitive and broadly reactive quantitative polymerase chain reaction (qPCR) assay of dominant serotype CVA6, to revise previously developed CVA6, CVA10, and CVA16 assays, and to test these assays in wastewater samples from Yamanashi Prefecture, Japan. The new-CVA6 qPCR assay was developed with maximal nucleotide percent identity among CVA6 isolates from Japan. The new-CVA6 and revised assays were highly sensitive and had the ability to quantify respective positive controls at levels as low as 1 copy/μL. Among the 53 grab influent samples collected between March 2022 and March 2023, EVA71, CVA10, and CVA16 RNA were not detected in any samples, whereas the new-CVA6 assay could detect CVA6 RNA in 38 % (20/53) of samples. CVA6 RNA was detected at a significantly higher concentration in the summer season (3.3 ± 0.8 log10 copies/L; 79 % (11/14)) than in autumn (2.7 ± 0.6 log10 copies/L; 69 % (9/13)). The seasonal trend of CVA6 RNA detection in wastewater aligned with the trend of HFMD case reports in the catchment of the wastewater treatment plant. This is the first study to report the detection and seasonal trends of the EVA serotypes associated with HFMD in wastewater samples in Japan. It provides evidence that wastewater-based epidemiology is applicable even for diseases that are prevalent only in specific population groups.

Phylogenetics and phylogeographic characteristics of coxsackievirus A16 in hand foot and mouth disease and herpangina cases collected in Beijing, China from 2019 to 2021.

Coxsackievirus A16 (CV-A16) is a significant pathogen responsible for causing hand foot and mouth disease (HFMD) and herpangina (HA). This study aimed to investigate the recent evolution and spread of CV-A16 by monitoring HFMD and HA cases in 29 hospitals across 16 districts in Beijing from 2019 to 2021. The first five cases of HFMD and the first five cases of HA each month in each hospital were included in the study. Real-time reverse transcription polymerase chain reaction was used to identify CV-A16, CV-A6, and EV-A71. From each district, two to fourCV-A16 positive samples with a relatively long sampling time interval every month were selected for sequencing. A total of 3344 HFMD cases and 2704 HA cases were enrolled in this study, with 76.0% (2541/3344) of HFMD and 45.4% (1227/2704) of HA cases confirmed to be infected by enterovirus. Among the EV-positive samples, CV-A16 virus was detected in 33.61% (854/2541) of HFMD cases and 13.4% (165/1227) of HA cases, with the predominant cluster being B1a. Both B1a and B1b had a co-circulation of local and imported strains, with different origin time (1993 vs. 1995), different global distribution (14 countries vs. 10 countries), and different transmission centers but mainly distributed in the southern and eastern regions of Beijing. Strengthening surveillance of HFMD in southern and eastern regions will improve the prevention and control efficiency of enterovirus infections.

Widespread Hand, Foot, and Mouth Disease Outbreaks: Interventions and Control Measures, Surin Province, 2020

In 2020, Surin Province had the highest incidence proportion of hand, foot, and mouth disease (HFMD) in Thailand, primarily concentrated in Mueang District. Numerous outbreaks occurred in kindergarten schools and child development centers despite the implementation of prevention and control measures. This study aimed to evaluate these interventions using observation and interviews and assess associated factors for the prolonged outbreaks. A cross-sectional study was conducted among 37 facilities that reported HFMD outbreaks. Linear regression analysis was performed to assess the association between factors and the duration of the outbreak. There were 369 confirmed HFMD cases. The attack rate in child development centers was 11.6%; in kindergarten schools was 5.1%. Most facilities with outbreak followed the recommendations and control measures issued by the Department of Disease Control; however, improper sanitation was observed in some facilities. A high student-toilet ratio (coefficient 0.64 days, [95% CI 0.11–1.17]) and a high student-janitor ratio (coefficient 0.12 days, [95% CI 0.07-0.17]) were associated with a longer outbreak duration. Prevention and control measures should include promoting personal hygiene, using an appropriate concentration of disinfectant solution, training teachers about common communicable diseases, early screening for detection and isolation of sick children, and communication with parents about HFMD.

Epidemiological characteristics and spatiotemporal patterns of hand, foot, and mouth disease in Hubei, China from 2009 to 2019.

Hand, foot, and mouth disease (HFMD) is a public health issue in Hubei and studies of- spatiotemporal clustering at a fine scale are limited. The purpose of this research was to analyze the epidemiological characteristics, temporal variation characteristics, and spatiotemporal clustering of HFMD cases at the town level from 2009 to 2019 to improve public health outcomes. Mathematical statistics, a seasonal index, wavelet analysis, and spatiotemporal scans were used to analyze epidemiological characteristics, time series trends, and spatiotemporal clusters of HFMD in Hubei. EV-A71 (Enterovirus A71) and CVA16 (Coxsackievirus A16) constitute the two primary pathogens of the HFMD epidemic in Hubei, among which EV-A71 is the dominant pathogen, especially in 2016. In terms of age distribution, a major peak occurred at 0-5 years and a very small increase appeared at 25-35 years, with the former having a higher incidence among males than females and the latter having the opposite difference between males and females. The number/rate of HFMD cases exhibited a considerable increase followed by a moderate decline from 2009 to 2019, with the first large peak in April-July and a smaller peak in November-December. HFMD in Hubei exhibited the characteristics of a 270-day cycle with multiscale nesting, which was similar to the periodicity of HFMD cases caused by EV-A71 (9 months). Cities with a higher incidence of HFMD formed a part of an "A-shaped urban skeleton". Subdistricts had the highest incidence of HFMD, followed by towns and villages. The spatiotemporal scan results showed one most likely cluster and 22 secondary clusters, which was consistent with the geographic location of railways and rivers in Hubei. These findings may be helpful in the prevention and control of HFMD transmission and in implementing effective measures in Hubei Province.