Abstract
Background: Young children are susceptible to enterovirus (EV) infections, which cause significant morbidity in this age group.
Objective: This study investigated the characteristics of virus strains and the epidemiology of EVs circulating among young children in Taiwan from 2011 to 2020.
Methods: Children diagnosed with EV infections from 2011 to 2020 were identified from the routine national health insurance data monitoring disease system, real-time outbreak and disease surveillance system, national laboratory surveillance system, and Statistics of Communicable Diseases and Surveillance Report, a data set (secondary data) of the Taiwan Centers for Disease and Control. Four primary outcomes were identified: epidemic features, characteristics of sporadic and cluster cases of EV infections, and main cluster institutions.
Results: From 2011 to 2020, between 10 and 7600 person-times visited the hospitals for EV infections on an outpatient basis daily. Based on 2011 to 2020 emergency department EV infection surveillance data, the permillage of EV visits throughout the year ranged from 0.07‰ and 25.45‰. After typing by immunofluorescence assays, the dominant type was coxsackie A virus (CVA; 8844/12,829, 68.9%), with most constituting types CVA10 (n=2972), CVA2 (n=1404), CVA6 (n=1308), CVA4 (n=1243), CVA16 (n=875), and CVA5 (n=680); coxsackie B virus CVB (n=819); echovirus (n=508); EV-A71 (n=1694); and EV-D68 (n=10). There were statistically significant differences (P<.001) in case numbers of EV infections among EV strains from 2011 to 2020. Cases in 2012 had 15.088 times the odds of being EV-A71, cases in 2014 had 2.103 times the odds of being CVA, cases in 2015 had 1.569 times the odds of being echovirus, and cases in 2018 had 2.274 times the odds of being CVB as cases in other years. From 2011 to 2020, in an epidemic analysis of EV clusters, 57 EV clusters were reported. Clusters that tested positive included 53 (53/57, 93%) CVA cases (the major causes were CVA6, n=32, and CVA10, n=8). Populous institutions had the highest proportion (7 of 10) of EV clusters.
Conclusion: This study is the first report of sporadic and cluster cases of EV infections from surveillance data (Taiwan Centers for Disease and Control, 2011‐2020). This information will be useful for policy makers and clinical experts to direct prevention and control activities to EV infections that cause the most severe illness and greatest burden to the Taiwanese.
doi:10.2196/59449
Keywords
Introduction
Enteroviruses (EVs) are among the most common viruses infecting humans and are responsible for an estimated 10 to 15 million cases of symptomatic infections annually in the United States [
]. Furthermore, in the United States, children <1 year old may account for ~40% of EV infections in patients with a known age [ ]. Verboon-Maciolek et al [ ] estimated an incidence of EV infections in the neonatal period of 26 cases per 100,000 live births in The Netherlands. Nonpolio EVs (NPEVs) show seasonal patterns of incidence. In temperate areas, EVs are characteristically found in summer and early autumn, although outbreaks may continue into winter. In tropical climates, circulation is year-round or associated with the rainy season. In Europe, 50% to 65% of infant infections occur from April to October. There are frequent fluctuations in predominant EV serotypes, with some serotypes showing periods of relative quiescence followed by extensive outbreaks. Variation by location is an important characteristic of EV epidemiology [ - ]. Patients with uncomplicated EV illness bring significant economic and medical impacts on society with at least 1 to 4 days of missed school or lost work, direct medical costs of US $69 to US $771 per case, and indirect costs of US $63 to US $422 per case, mainly attributable to parental missed work [ , ].EV spreads from person to person by fecal-oral and respiratory routes, but indirect transmission may also occur via different routes, including contaminated water, food, and fomites [
]. Neonatal EV infections can be acquired antenatally (transplacentally or via an ascending route), intrapartum (usually with clinical presentation from 2 to 7 days of life), and post natally (usually by family members but sometimes from health care workers) [ , ]. Inadequate handwashing can contribute to the spread of EV infections in the neonatal intensive care unit; however, vertically acquired infections are usually more severe than horizontally acquired ones [ ]. A recent study on neonates and young infants in Japan has reported EV-positive stool samples in 91% of siblings and 42% of parents. Most (45% of siblings and 85% of parents) were asymptomatic [ ].EVs are among the most prevalent viruses infecting humans worldwide [
]. There are 106 types known to infect humans, of which dozens are frequently detected globally [ - ]. Most of these types have been defined before sequencing techniques are available on a large scale, and typing is performed based on the biological properties of these viruses in cell culture or mouse models. EVs are a genus of small, single-stranded, positive-sense RNA viruses of the family Picornaviridae [ ]. EV types identified during that time are still called coxsackie A virus (CVA), coxsackie B virus (CVB), echoviruses (E), numbered EV (EV-A, -B, -C, and -D), and polioviruses. The newer types have been defined by analysis of their viral protein 1 region sequence, and their names consist of “enterovirus,” their species letter, and a consecutive number, starting with EV-D68 [ ].EVs cause a wide spectrum of diseases, including encephalitis; meningitis; myocarditis; hand, foot, and mouth disease (HFMD); conjunctivitis; respiratory diseases; and gastrointestinal diseases, but most infections remain asymptomatic [
- ]. Many prevalent studies have been conducted to describe the EV prevalence and the distribution of distinct EV types in cohorts of patients with specific symptoms, such as gastroenteritis, influenza-like illness, and meningitis, and asymptomatic cohorts. Surveillance studies have reported the EV prevalence and EV types detected in larger populations with less well-defined symptoms, such as all individuals tested for EVs at a national level [ , ].Taiwan has become a developed country with a per capita gross domestic product of US $35,244 [
]. There are sporadic and cluster cases of EV infections in Taiwan, and children have the highest rate of getting EV. The course of the disease often causes severe illness and medical burden [ , ]. Therefore, this study aimed to use the TCDC statistics of communicable diseases and surveillance report to explore the number of EV outpatient and emergency department visits for sporadic and cluster cases from 2011 to 2020. The epidemiological characteristics, differences, and trends of EVs and clustered virus strains are the main clustering areas of EVs.Methods
Ethical Considerations
This study used information freely available in the public domain and analyzed open datasets where data have been properly anonymized. Ethics approval for human participant research is, therefore, exempt. The original informed consent allows for secondary analysis without additional consent. This study conforms with the public use of government reports [
, ].Definition of Sporadic Reported and Confirmed Cases
Sporadic and cluster cases of EV infections are nationally notifiable in Taiwan [
]. To reinforce surveillance efficiency, the TCDC established a sentinel surveillance system across Taiwan. According to the Communicable Disease Control Act of Taiwan, all sporadic cases of suspected EV infections must be reported, and a specimen must be collected and sent to the TCDC through the “national laboratory surveillance system.” Suspected cases should be patients with HFMD or herpangina, and their specimens should be collected within 3 days after the onset of illness. Sources of specimens (throat swabs, rectal swabs, stools, sera, or cerebrospinal fluid) at the contracted laboratories were mainly from outpatients, emergency, and inpatient patients at medical centers within the areas covered by the laboratories and from 165 specimen collection stations nationwide. Sporadic cases were defined as persons hospitalized (or outpatient and emergency clinic) for community-onset, laboratory-confirmed EV infections by immunofluorescence assays (IFAs) or reverse transcription–polymerase chain reaction. At first, viruses were isolated following the standard protocols for the EV surveillance system conducted by the TCDC, as described previously [ ]. EV isolates were identified by IFAs using commercial antibodies against EV (Light Diagnostics; Millipore) according to the manufacturer’s protocol [ ]. All IFA-untypeable EVs were tested by traditional reverse transcription–polymerase chain reaction and sequencing [ ]. The QIAamp Viral RNA Mini Kit (Qiagen) was used for RNA extraction according to the manufacturer’s instructions. The EV Consensus-Degenerate Hybrid Oligonucleotide Primers (CODEHOP) method was used to identify untypeable EVs [ ].This study analyzed the “real-time outbreak and disease surveillance system” data of the TCDC. The 180 responsible hospitals in Taiwan were also used to transmit information about EV emergency medical treatment through the internet to the TCDC. The TCDC collects and analyzes the “real-time outbreak and disease surveillance system” secondary data weekly, makes statistical charts, and publishes them on the government’s public website for the academic community (including this study). Furthermore, to strengthen Taiwan’s surveillance capacity for specific diseases, the TCDC and the National Health Insurance Administration of Taiwan embarked on horizontal cooperation, under which the Taiwan’s Bureau of National Health Insurance compiles the outpatient data uploaded by hospitals and clinics through the National Health Insurance IC cards. The TCDC conducts daily routine surveillance of specific diseases based on the comprehensive and highly representative secondary statistical data compiled by the Taiwan’s Bureau of National Health Insurance to assess the magnitude of an epidemic. This was called the “routine national health insurance data monitoring disease system.” The TCDC releases data to the government’s public website for analysis by the academic community (including this study).
Definition of Reported and Confirmed Cases of Cluster Events
Patients and their contacts among high-risk groups for EV infections with severe complications are involved in a suspected cluster of EV infections in places such as nurseries and neonatal wards in hospitals, baby care centers, and homes of puerperal care, except schools [
]. Officers at the local Department of Health and Regional Center of the TCDC are responsible for collecting specimens from selected patients and submit to the Center for Research, Diagnostics, and Vaccine Development of the TCDC. Cluster cases were defined as described previously by the diagnostic methods of sporadic cases. Patients and their contacts who are among high-risk groups for EV infection with severe complications and are involved in a suspected cluster of EV infection in places such as nurseries and neonatal wards in hospitals, babycare centers, and homes of puerperal care. The TCDC publishes secondary data on the government’s public website for the academic community (including this study).Data Analysis
This was a retrospective historical study of all sporadic and cluster cases of EV infections since 2011. The number of people diagnosed as having EV infections from 2011 to 2020 was confirmed, and the distribution of their epidemiological characteristics, differences, and results was examined. Viral strains of sporadic and cluster cases and the related results in the analysis of cases of EV infections from 2011 to 2020 were emphasized. Descriptive data were shown as the mean and summary, where appropriate. Categorical variables were compared using the χ2 test. All statistical analyses were performed using SPSS (version 21; IBM Corp). All statistical tests were 2-sided with α=.05. P values <.05 were considered statistically significant.
Results
The research flowchart of this study is shown in
. From 2011 to 2020, Taiwan saw a spike in EV infection prevalence. Based on disease surveillance using national health insurance data, the number of person-times who visited the hospitals for EV infections on an outpatient basis daily ranged from 10 to 300, 100 to 5100, 200 to 7600, 89 to 7730, 99 to 4925, 155 to 6253, 48 to 3888, 30 to 2670, 60 to 4783, and 27 to 1575, respectively ( ).Furthermore, 239 EV strains were isolated in 2020. After typing by IFA, the dominant type was CVA (n=178 strains, 74.5%), with most constituting type CVA6 (n=78 strains), CVA5 (n=51 strains), and CVA2 (n=25 strains); CVB (n=3 strains, 1.3%); EV-A71 (n=4 strains, 1.7%); and NPEV (n=54 isolates, 22.6%; the major causes were rhinovirus). In sum, the top 5 EVs isolated in 2020 were CVA6 (32.6%), CVA5 (21.3%), CVA2 (10.5%), CVA16 (5.4%), and CVA4 (4.6%;
).There were statistically significant differences (P<.001) in case numbers of EV infections among EV strains from 2011 to 2020 (
). Cases in 2012 had 15.088 times the odds of being EV-A71, cases in 2014 had 2.103 times the odds of being CVA, cases in 2015 had 1.569 times the odds of being echovirus, and cases in 2018 had 2.274 times the odds of being CVB as cases in other years.Variables | Year | |||||||||
2011 (n=24,200) | 2012 (n=13,502) | 2013 (n=11,464) | 2014 (n=11,387) | 2015 (n=10,563) | 2016 (n=12,671) | 2017 (n=11,665) | 2018 (n=10,421) | 2019 (n=10,026) | 2020 (n=11,199) | |
Daily outpatient visits (person) | 10‐3300 | 100‐5100 | 200‐7600 | 89‐7730 | 99‐4925 | 155‐6253 | 48‐3888 | 30‐2670 | 60‐4783 | 27‐1575 |
The annual permillage of emergency department visits (‰) | 0.07‐9.21 | 0.81‐15.37 | 1.31‐25.45 | 0.75‐19.67 | 0.56‐11.60 | 0.64‐16.28 | 0.70‐10.67 | 0.52‐6.67 | 1.00‐12.48 | 0.08‐4.17 |
Variables | Distribution characteristics from years 2011-2020 | ||||||||||
2011 (n=2171) | 2012 (n=1742) | 2013 (n=1005) | 2014 (n=1170) | 2015 (n=1046) | 2016 (n=1899) | 2017 (n=802) | 2018 (n=1447) | 2019 (n=1308) | 2020 (n=239) | ||
CVA | (%)n=1658 | n=605 | n=761 | n=953 | n=704 | n=1519 | n=575 | n=960 | n=931 | n=178 | |
CVA10 | 51.8 | 1.6 | 6.5 | 32.1 | 3.8 | 29.0 | 3.1 | 25.8 | 22.1 | — | |
CVA 16 | 0.6 | 0.6 | 2.4 | 7.4 | 29.1 | 5.2 | 2.9 | 16.3 | 5.0 | 5.4 | |
CVA 2 | 4.3 | 22.8 | 4.7 | 18.6 | 0.9 | 15.4 | 18.7 | 0.6 | 12.5 | 10.5 | |
CVA 4 | 9.9 | 5.7 | — | — | 15.8 | 7.2 | 21.1 | 18.4 | 13.8 | 4.6 | |
CVA 5 | 3.4 | 0.1 | 6.2 | 9.7 | — | 17.3 | — | 0.4 | 3.3 | 21.3 | |
CVA 6 | 0.9 | 3.8 | 52.5 | 0.6 | 16.0 | 4.8 | 20.8 | 1.8 | 12.1 | 32.6 | |
CVA 9 | 5.1 | — | — | 1.1 | 1.6 | 1.1 | 5.0 | 3.1 | 1.8 | — | |
CVA 8 | — | — | 0.1 | — | — | — | — | — | 0.1 | — | |
CVA 21 | — | — | 0.5 | 0.3 | — | — | — | — | 0.3 | — | |
CVA 24 | — | — | 0.2 | — | — | — | — | — | — | — | |
CVA 1 | — | — | 6.1 | 11.6 | — | — | — | — | — | — | |
Untype | 0.4 | 0.1 | 0.4 | — | — | — | — | — | — | — | |
CVB | (%)n=93 | n=80 | n=78 | n=87 | n=108 | n=95 | n=55 | n=174 | n=46 | n=3 | |
CVB 1 | 0.2 | — | 0.1 | 1.8 | 0.5 | — | 0.7 | 0.9 | — | 0.4 | |
CVB 2 | 0.1 | 0.1 | 4.1 | 0.8 | — | — | 0.4 | 1.2 | 0.1 | — | |
CVB 4 | 0.3 | 1.4 | 4.4 | 0.3 | — | 1.6 | 1.5 | 1.0 | 2.1 | 0.4 | |
CVB 5 | 3.6 | 0.2 | 0.1 | 4.5 | 8.7 | 0.6 | 2.6 | 8.9 | 1.1 | — | |
CVB 3 | — | 2.9 | 0.5 | — | 0.6 | 2.7 | 1.6 | 0.1 | 0.2 | 0.4 | |
untype | — | — | — | — | — | — | — | — | 0.1 | — | |
E | (%)n=13 | n=46 | n=12 | n=18 | n=61 | n=35 | n=39 | n=231 | n=53 | n=0 | |
E 30 | 0.1 | 0.8 | 1.1 | — | 1.5 | 0.3 | — | — | — | — | |
E 4 | 0.1 | 1.1 | 0.2 | 0.6 | 0.8 | 0.2 | 0.2 | 0.1 | 0.2 | — | |
E 6 | 0.2 | 0.4 | — | 0.5 | 2.7 | 1.2 | 3.2 | 0.3 | 3.1 | — | |
E 9 | 0.2 | 0.3 | — | 0.3 | 0.7 | — | — | — | 0.3 | — | |
E 11 | — | — | — | 0.1 | — | — | 0.5 | 15.5 | 0.2 | — | |
E 5 | — | — | — | — | — | — | 0.7 | — | — | — | |
E 18 | — | — | — | — | — | — | — | 0.1 | 0.2 | — | |
E 25 | — | — | — | — | — | — | — | — | 0.1 | — | |
EV | -A71, n (%)349 (16.1) | 923 (53.0) | 21 (2.1) | 1 (0.1) | 17 (1.6) | 90 (4.7) | 16 (2.0) | 46 (3.2) | 227 (17.3) | 4 (1.7) | |
EV-D68, n (%) | — | — | — | — | — | — | 7 (0.9) | — | 3 (0.2) | — | |
Unspecific, n (%) | 58 (3.0) | 88 (5.0) | 133 (13.2) | 111 (9.0) | 156 (15.0) | 160 (8.4) | 110 (13.7) | 36 (2.5) | 48 (4.0) | 54 (22.6) | |
Sample number | 24,200 | 13,502 | 11,464 | 11,387 | 10,563 | 12,671 | 11,665 | 10,421 | 10,026 | 11,199 |
aDenominator of permillages is 2171 (cases) for the year 2011. The remaining numbers in the denominator are the number of EV cases in each year.
bCVA: coxsackie A virus.
cNot applicable.
dCVB: coxsackie B virus.
eE: echovirus.
fEV: enterovirus.
gUnspecific: gene sequencing only shows the type of virus strain, but not the number, so it cannot be classified as above genotype.
Variable | Year | P value | |||||||||
2011 (n=2171) | 2012 (n=1742) | 2013 (n=1005) | 2014 (n=1170) | 2015 (n=1046) | 2016 (n=1899) | 2017 (n=802) | 2108 (n=1447) | 2019 (n=1308) | 2020 (n=239) | ||
CVA | (%)1658 | 605 | 761 | 953 | 704 | 1519 | 575 | 960 | 931 | 178 | <.001 |
CVB | (%)93 | 80 | 78 | 87 | 108 | 95 | 55 | 174 | 46 | 3 | <.001 |
E | (%)13 | 46 | 12 | 18 | 61 | 35 | 39 | 231 | 53 | 0 | <.001 |
EV | -A71 (%)349 | 923 | 21 | 1 | 17 | 90 | 16 | 46 | 227 | 4 | <.001 |
EV-D68 (%) | — | — | — | — | — | — | 7 | — | 3 | — | <.001 |
Unspecified (%) | 58 | 88 | 133 | 111 | 156 | 160 | 110 | 36 | 48 | 54 | <.001 |
aCVA: coxsackie A virus.
bCVB: coxsackie B virus.
cE: echovirus.
dEV: enterovirus.
eNot applicable.
In 2020, an epidemic analysis of EV clusters reported 11 EV clusters. Clusters that tested positive included 5 CVA6 infections and 1 CVA4 infection. The other events were negative or had no specimens taken (
). Populous institutions had the highest number of EV clusters ( ).Variables | Year | |||||||||||
2011 | 2012 | 2103 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |||
EV | -reported cluster events, n1 | 0 | 3 | 0 | 2 | 2 | 8 | 13 | 48 | 11 | ||
EV-confirmed cluster events, n | 1 | 0 | 2 | 0 | 2 | 1 | 5 | 6 | 34 | 6 | ||
Virus genotype | ||||||||||||
CVA2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | ||
CVA6 | 0 | 0 | 1 | 0 | 1 | 0 | 3 | 3 | 16 | 5 | ||
CVA4+E4 | +E180 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | ||
CVA10 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 4 | 0 | ||
EV-A71 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | ||
CVA4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | ||
CVA6+adenovirus | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | ||
CVA6+EV-A71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | ||
CVA6+CVA2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | ||
CVA5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | ||
Unspecified | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
aEV: enterovirus.
bCVA: coxsackie A virus.
cE: echovirus.
Variable | Year | ||||||||||
2011 (n=1) | 2012 (n=0) | 2013 (n=3) | 2014 (n=0) | 2015 (n=2) | 2016 (n=2) | 2017 (n=8) | 2018 (n=13) | 2019 (n=48) | 2020 (n=11) | ||
Major institutions | |||||||||||
Baby care centers | ✓ | ✓ | |||||||||
Populous institutions | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||
Hospital nurseries | ✓ | ||||||||||
Hospitals | ✓ | ✓ |
aSuspected enterovirus clusters in schools do not require notification in this study.
bOnly list major cluster institutions; did not included numbers.
Discussion
As Taiwan is a densely populated island and a major air and sea port, the importation and dissemination of viral infections are facilitated [
]. Seasonal variation occurs with EV and other respiratory virus infections. EVs are suitable for survival and transmission in humid and hot environments. Taiwan is in the subtropical zone, and infection cases occur yearly. Therefore, EV infection is one of the endemic diseases in Taiwan. According to domestic monitoring data over the years, young children are a high-risk group for infections complicated by severe disease and death, and the fatality rate of severe disease is 1.3% to 33.3% [ ]. Using the “routine national health insurance data monitoring disease system” [ ] and “real-time outbreak and disease surveillance system” [ ] from 2011 to 2020, this study found that in the survey period, between 20 and 7600 person-times visited the hospitals for EV infections on an outpatient basis daily, which was highest in 2013 (between 200 and 7600 person-times daily). Furthermore, based on the 2011 to 2020 emergency EV infection surveillance data, the permillage of EV visits throughout the year ranged from 0.07‰ to 25.45‰, which was highest in 2013 (between 1.31‰ and 25.45‰). The dominant type was CVA (931 strains or 71.2%), followed by CVB, EV-A71, echovirus, and EV-D68 by the “national laboratory surveillance system” [ ]. CVA is the main pathogen of EV strains among cluster events in Taiwan. The annual epidemic situation in Taiwan is partly affected by changes in the type of virus strains or the genetic variation of the pathogen of EVs. The scale of infection and severity of the disease would also vary. Long-term community monitoring is required to detect early changes in EV strains [ ]. Therefore, this study suggested that establishing long-term and stable community-based monitoring can provide information on the activity of EVs in different regions and seasons in Taiwan, conduct epidemic prevention preparations in advance, and help control EV epidemics.In Taiwan, EV infections primarily affect young children [
]. The genus enterovirus of the family Picornaviridae includes polioviruses, CV, echoviruses, numbered EVs, and rhinoviruses [ ]. For decades, most studies focused on poliovirus, but knowledge of NPEVs has increased considerably in recent years. Several NPEVs have emerged as serious public health concerns. HFMD, a frequently reported and concerning disease worldwide, is a severe burden on societies globally, especially in East and Southeast Asian countries [ ]. Han et al [ ] indicated that CVA16 is one of the most important causes of HFMD in China and a severe threat to human health, especially in children <5 years old. A previous study in Vietnam indicated that HFMD is a major public health concern in the Asia Pacific region. Most recent HFMD outbreaks have been caused by EV-A71, CVA16, CVA10, and CVA6 [ ]. EV strains circulating in China or Vietnam were similar to those in this study. During the 10-year survey period, the main circulating virus strains in Taiwan included CVA2, CVA4, CVA5, CVA6, CVA10, CVA16, and EV-A71. In particular, CVA2, CVA6, and CVA16 circulate among susceptible hosts in Taiwan yearly, a major burden for medical clinical and epidemic prevention in the country. Moreover, a previous study indicated that EV-A71, CVA16, and CVA6 are generally the most common causative pathogens for HFMD, whereas EV-A71 is the most frequently identified serotype among severe and fatal cases [ - ]. Therefore, there are many EV serotypes, and virus strains circulating each year differ [ ]. In addition to increasing the difficulty of estimating the epidemic cycle and the scale of the epidemic, in the year when the EV-A71 is prevalent, severe epidemics caused by other types may also occur (eg, EV-D68 in 2017 or E11 in 2018). Therefore, this study indicated that central and local health authorities should continue to implement various epidemic prevention preparations and strengthen the public’s ability of individuals to prevent epidemics to reduce the probability of EV transmission.Previous studies indicated that EV-A71, CVA16, and CVA6 are common serotypes causing the HFMD outbreak in China [
]. A previous study also indicated that the phylogenetic tree of the partial viral protein 1 sequence showed that CVA6 isolates are divided into 4 clusters. The CVA6 cluster predominantly circulates in HFMD in China [ ]. The EV-A71 subgenogroup C4 caused the largest outbreak of HFMD in Vietnam, China, Australia, and Italy [ - ]. These results were similar to this study. CVA6, CVA10, CVA4, and EV-A71 were the main EV strains in this study. In addition to monitoring and identifying pathogens, medical care is an important aspect of EV prevention and treatment. A few cases of EV infections may cause severe illness or death due to the rapid changes in the course of the disease. Therefore, this study suggested that in addition to continuing existing surveillance strategies and self-preventive care, future efforts should be to conduct empirical research on control strategies as soon as possible to provide effective control measures and reduce social costs.Previous research indicated that empirical evidence on the role played by population density in spreading the coronavirus is based on cross-sectional data covering 172 countries (obtained from several sources, including the European Centre for Disease Prevention and Control, the World Bank, and the Center for Health Security). Results using extreme bounds analysis techniques and variable addition tests showed that population density significantly positively affects the number of cases [
]. Moreover, a previous study indicated a high frequency of EV serotype circulating in a densely populated area of India [ ]. Cluster events are common because of the characteristics of EV infections. Considering the burden load of laboratory manpower and epidemic prevention, major cluster events (occurring in hospital baby rooms, neonatal wards, childcare centers, postpartum nursing homes, and other places) must be notified and inspected in Taiwan. This study also indicated that populous institutions are Taiwan’s main infectious areas of cluster events. Therefore, monitoring this disease and its epidemiology in the densely populated part of Taiwan is important for detecting EVs of emerging epidemics. This study suggested that to clarify the possible source of infection, it is necessary to conduct epidemic investigations on reported cluster cases, including the onset process, medical treatment, caregivers and coresidents, and activities during the incubation period. To test samples immediately after the notification, clinicians will diagnose the clinical symptoms and test results of the patients and follow up on epidemiological characteristics to facilitate the diagnosis and judgment of cases and subsequent epidemic control [ ].This study has 3 drawbacks. First, the statistics about infectious diseases disclosed by the TCDC on the internet only provide basic epidemiological data about EV infection patients, with no clinical data. Therefore, this study could not compare differences or trends in patient clinical symptoms. Second, the information disclosed on the platform also does not contain information about the genetic information of EVs. Neither the characteristics of the antigenic structure of EV prevalent in Taiwan nor the genetic relationship when comparing EV strains in this country to other countries remains unknown. Third, when a suspected EV cluster event occurs in schools and kindergartens, it is unnecessary to report and collect data in accordance with operational instructions for “real-time outbreak and disease surveillance system” and “national laboratory surveillance system” but should still follow the notification of mild cases of EV and cluster event management announced by the local government.
In conclusion, this study revealed the characteristics of virus strains and trends of sporadic and cluster cases of EV infections from 2011 to 2020. Over the past 10 years, Taiwanese children have continued to experience EV infections. The authors identified substantial patients with EV infection burden in children in Taiwan. The rate of CVA infection in children is still high, and acute and severe cases caused by EV-A71 and EV-D68 in recent years have become the focus of clinicians and public health. EV clustering caused by CVA6 requires continuous attention and long-term tracking of its trend changes. This study confirms that EV clusters occur most frequently in populous institutions. Individuals should reduce the frequency of entering densely populated institutions to prevent EV infections in high-risk populations, including children. The government is taking proactive measures against EV infections. This information will be useful for policy makers and clinical experts in directing prevention and control activities for patients with EV infections that burden the Taiwanese. These data will inform future surveillance and research efforts in Taiwan.
Acknowledgments
The authors are grateful to all the colleagues in the School of Public Health at the National Defense Medical Center, Taipei, for their help in collecting government data.
Data Availability
The data sets generated or analyzed during this study are available from the corresponding author on reasonable request.
Authors' Contributions
The conceptualization was conducted by FCL, BCC, and CPY. Data curation was managed by BCC, FCL, YCH, SHH, RJC, and CPY. The formal analysis was performed by FCL and CPY. The investigation was carried out by FCL, BCC, YCH, SHH, and PCY. The methodology was developed by FCL and CPY. Validation was conducted by FCL and CPY. The original draft was written by FCL and CPY. Review and editing were completed by CPY. All authors have read and agreed to the published version of the manuscript.
Conflicts of Interest
None declared.
References
- Khetsuriani N, Lamonte-Fowlkes A, Oberst S, Pallansch MA, Centers for Disease Control and Prevention. Enterovirus surveillance—United States, 1970–2005. MMWR Surveill Summ. Sep 15, 2006;55(8):1-20. [Medline]
- Abedi GR, Watson JT, Pham H, Nix WA, Oberste MS, Gerber SI. Enterovirus and human parechovirus surveillance—United States, 2009–2013. MMWR Morb Mortal Wkly Rep. Sep 4, 2015;64(34):940-943. [CrossRef] [Medline]
- Verboon-Maciolek MA, Krediet TG, van Loon AM, et al. Epidemiological survey of neonatal non-polio enterovirus infection in the Netherlands. J Med Virol. Feb 2002;66(2):241-245. [CrossRef] [Medline]
- Verboon-Maciolek MA, Krediet TG, Gerards LJ, de Vries LS, Groenendaal F, van Loon AM. Severe neonatal parechovirus infection and similarity with enterovirus infection. Pediatr Infect Dis J. Mar 2008;27(3):241-245. [CrossRef] [Medline]
- Rodà D, Pérez-Martínez E, Cabrerizo M, et al. Clinical characteristics and molecular epidemiology of enterovirus infection in infants <3 months in a referral paediatric hospital of Barcelona. Eur J Pediatr. Nov 2015;174(11):1549-1553. [CrossRef] [Medline]
- Cabrerizo M, Trallero G, Pena MJ, et al. Comparison of epidemiology and clinical characteristics of infections by human parechovirus vs. those by enterovirus during the first month of life. Eur J Pediatr. Nov 2015;174(11):1511-1516. [CrossRef] [Medline]
- Lv XQ, Qian LH, Wu T, Yuan TM. Enterovirus infection in febrile neonates: a hospital-based prospective cohort study. J Paediatr Child Health. Aug 2016;52(8):837-841. [CrossRef] [Medline]
- Cabrerizo M, Díaz-Cerio M, Muñoz-Almagro C, et al. Molecular epidemiology of enterovirus and parechovirus infections according to patient age over a 4-year period in Spain. J Med Virol. Mar 2017;89(3):435-442. [CrossRef] [Medline]
- Kadambari S, Braccio S, Ribeiro S, et al. Enterovirus and parechovirus meningitis in infants younger than 90 days old in the UK and Republic of Ireland: a British Paediatric Surveillance Unit Study. Arch Dis Child. Jun 2019;104(6):552-557. [CrossRef] [Medline]
- Pichichero ME, McLinn S, Rotbart HA, Menegus MA, Cascino M, Reidenberg BE. Clinical and economic impact of enterovirus illness in private pediatric practice. Pediatrics. Nov 1998;102(5):1126-1134. [CrossRef] [Medline]
- Chiu ML, Luo ST, Chen YY, et al. Establishment of Asia-Pacific network for enterovirus surveillance. Vaccine. Jan 3, 2020;38(1):1-9. [CrossRef] [Medline]
- Dunn JJ. Enteroviruses and parechoviruses. In: Hayden RT, Wolk DW, Carroll KC, Tang YW, editors. Diagnostic Microbiology of the Immunocompromised Host. 2nd ed. American Society for Microbiology; 2016:273-329. [CrossRef]
- Cherry JD, Krogstad P. Enterovirus, parechovirus and saffold virus infections. In: Remington and Klein’s Infectious Diseases of the Fetus and Newborn Infant. Elsevier Health Sciences; 2015.
- Harik N, DeBiasi RL. Neonatal nonpolio enterovirus and parechovirus infections. Semin Perinatol. Apr 2018;42(3):191-197. [CrossRef] [Medline]
- Tebruegge M, Curtis N. Enterovirus infections in neonates. Semin Fetal Neonatal Med. Aug 2009;14(4):222-227. [CrossRef] [Medline]
- Izumita R, Deuchi K, Aizawa Y, et al. Intrafamilial transmission of parechovirus A and enteroviruses in neonates and young infants. J Pediatric Infect Dis Soc. Dec 27, 2019;8(6):501-506. [CrossRef]
- Brouwer L, Moreni G, Wolthers KC, Pajkrt D. World-wide prevalence and genotype distribution of enteroviruses. Viruses. Mar 8, 2021;13(3):434. [CrossRef] [Medline]
- Picornaviridae. URL: www.picornaviridae.com [Accessed 2020-06-01]
- Khetsuriani N, Lamonte-Fowlkes A, Oberst S, Pallansch MA. Centers for Disease Control and Prevention enterovirus surveillance—United States, 1970–2005. MMWR Surveill Summ. Sep 2006;55:1-20. [Medline]
- Janes VA, Minnaar R, Koen G, et al. Presence of human non-polio enterovirus and parechovirus genotypes in an Amsterdam hospital in 2007 to 2011 compared to national and international published surveillance data: a comprehensive review. Euro Surveill. Nov 20, 2014;19(46):20964. [CrossRef] [Medline]
- Bubba L, Broberg EK, Jasir A, Simmonds P, Harvala H, Enterovirus study collaborators. Circulation of non-polio enteroviruses in 24 EU and EEA countries between 2015 and 2017: a retrospective surveillance study. Lancet Infect Dis. Mar 2020;20(3):350-361. [CrossRef] [Medline]
- Solomon T, Lewthwaite P, Perera D, Cardosa MJ, McMinn P, Ooi MH. Virology, epidemiology, pathogenesis, and control of enterovirus 71. Lancet Infect Dis. Nov 2010;10(11):778-790. [CrossRef] [Medline]
- Simmonds P, Gorbalenya AE, Harvala H, et al. Recommendations for the nomenclature of enteroviruses and rhinoviruses. Arch Virol. Mar 2020;165(3):793-797. [CrossRef] [Medline]
- Aswathyraj S, Arunkumar G, Alidjinou EK, Hober D. Hand, foot and mouth disease (HFMD): emerging epidemiology and the need for a vaccine strategy. Med Microbiol Immunol. Oct 2016;205(5):397-407. [CrossRef] [Medline]
- Gaaloul I, Riabi S, Evans M, Hunter T, Huber S, Aouni M. Coxsackievirus B heart infections and their putative contribution to sudden unexpected death: an 8-year review of patients and victims in the coastal region of Tunisia. Forensic Sci Int. Nov 2016;268:73-80. [CrossRef] [Medline]
- Royston L, Tapparel C. Rhinoviruses and respiratory enteroviruses: not as simple as ABC. Viruses. Jan 11, 2016;8(1):16. [CrossRef] [Medline]
- Rudolph H, Schroten H, Tenenbaum T. Enterovirus infections of the central nervous system in children: an update. Pediatr Infect Dis J. May 2016;35(5):567-569. [CrossRef] [Medline]
- Brouwer L, van der Sanden SMG, Calis JCJ, et al. High frequency of polio-like enterovirus C strains with differential clustering of CVA-13 and EV-C99 subgenotypes in a cohort of Malawian children. Arch Virol. Oct 2018;163(10):2645-2653. [CrossRef] [Medline]
- Gosert R, Heininger U, Hirsch HH. Enterovirus detection in patients with acute gastroenteritis in Switzerland. J Med Virol. Apr 2018;90(4):685-691. [CrossRef] [Medline]
- Sousa IP, Burlandy FM, Ferreira JL, et al. Re-emergence of a coxsackievirus A24 variant causing acute hemorrhagic conjunctivitis in Brazil from 2017 to 2018. Arch Virol. Apr 2019;164(4):1181-1185. [CrossRef] [Medline]
- National Statistics, ROC (Taiwan). 2022. URL: https://www.stat.gov.tw/point.asp?index=1 [Accessed 2022-07-01]
- Chen YC, Yang SL, Yang H, et al. Clinical characteristics of echovirus 11 and coxsackievirus B5 infections in Taiwanese children requiring hospitalization. J Microbiol Immunol Infect. Aug 2021;54(4):581-587. [CrossRef] [Medline]
- Chuang YY, Huang YC. Enteroviral infection in neonates. J Microbiol Immunol Infect. Dec 2019;52(6):851-857. [CrossRef] [Medline]
- Lin FH, Chou YC, Chen BC, et al. An increased risk of school-aged children with viral infection among diarrhea clusters in Taiwan during 2011-2019. Children (Basel). Sep 15, 2021;8(9):807. [CrossRef]
- Yu CP, Chou YC, Wu DC, Cheng CG, Cheng CA. Surveillance of foodborne diseases in Taiwan: a retrospective study. Medicine (Baltimore). Feb 5, 2021;100(5):e24424. [CrossRef] [Medline]
- Statistics of communicable diseases and surveillance report. Taiwan Center for Disease and Control. URL: https://www.cdc.gov.tw/File/Get/oP2-rwAYKKgPqabVK7Jeeg [Accessed 2022-07-01]
- Huang YP, Lin TL, Hsu LC, et al. Genetic diversity and C2-like subgenogroup strains of enterovirus 71, Taiwan, 2008. Virol J. Oct 20, 2010;7:277. [CrossRef] [Medline]
- Huang YP, Lin TL, Lin TH, Wu HS. Molecular and epidemiological study of enterovirus D68 in Taiwan. J Microbiol Immunol Infect. Aug 2017;50(4):411-417. [CrossRef]
- Tseng FC, Huang HC, Chi CY, et al. Epidemiological survey of enterovirus infections occurring in Taiwan between 2000 and 2005: analysis of sentinel physician surveillance data. J Med Virol. Dec 2007;79(12):1850-1860. [CrossRef] [Medline]
- Nix WA, Oberste MS, Pallansch MA. Sensitive, seminested PCR amplification of VP1 sequences for direct identification of all enterovirus serotypes from original clinical specimens. J Clin Microbiol. Aug 2006;44(8):2698-2704. [CrossRef] [Medline]
- Wu CH, Chou YC, Lin FH, et al. Epidemiological features of domestic and imported cases with COVID-19 between January 2020 and March 2021 in Taiwan. Medicine (Baltimore). Oct 1, 2021;100(39):e27360. [CrossRef] [Medline]
- The introduction of enterovirus infection. Taiwan Center for Disease and Control. 2022. URL: https://www.cdc.gov.tw/Category/Page/FgfRlDl6XxDkuqaOghuNfQ [Accessed 2022-07-01]
- Strengthen the community active inspection, monitoring and prevention network of infectious disease contract laboratories. Taiwan Centers for Disease Control. URL: https://www.cdc.gov.tw/File/Get/sqrAKrJg_Uq8Ki5B0HtO3g?path=vcJwASsx3W-spHGwfF0UEc6caMeMCciOqSsn8YYeADVLlP5D5XYrB1fRWYSLuZys&name=vb9QqvRSMxP0PYitEx86wOfQsp5y7sUytKIBMegiUBI [Accessed 2024-03-01]
- Hsia SH, Lin JJ, Chan OW, Lin TY. Cardiopulmonary failure in children infected with enterovirus A71. J Biomed Sci. Apr 16, 2020;27(1):53. [CrossRef] [Medline]
- Lukashev AN, Vakulenko YA, Turbabina NA, Deviatkin AA, Drexler JF. Molecular epidemiology and phylogenetics of human enteroviruses: is there a forest behind the trees? Rev Med Virol. Nov 2018;28(6):e2002. [CrossRef] [Medline]
- Han Z, Song Y, Xiao J, et al. Genomic epidemiology of coxsackievirus A16 in mainland of China, 2000-18. Virus Evol. Jul 2020;6(2):veaa084. [CrossRef] [Medline]
- Nhu LNT, Nhan LNT, Anh NT, et al. Coxsackievirus A16 in Southern Vietnam. Front Microbiol. Jun 24, 2021;12:689658. [CrossRef] [Medline]
- Ooi MH, Wong SC, Lewthwaite P, Cardosa MJ, Solomon T. Clinical features, diagnosis, and management of enterovirus 71. Lancet Neurol. Nov 2010;9(11):1097-1105. [CrossRef] [Medline]
- Gopalkrishna V, Patil PR, Patil GP, Chitambar SD. Circulation of multiple enterovirus serotypes causing hand, foot and mouth disease in India. J Med Microbiol. Mar 2012;61(Pt 3):420-425. [CrossRef] [Medline]
- Puenpa J, Chieochansin T, Linsuwanon P, et al. Foot, and mouth disease caused by coxsackievirus A6. Emerg Infect Dis. Apr 2013;19(4):641-643. [CrossRef]
- Lugo D, Krogstad P. Enteroviruses in the early 21st century: new manifestations and challenges. Curr Opin Pediatr. Feb 2016;28(1):107-113. [CrossRef] [Medline]
- Zhang Z, Liu Y, Liu F, et al. Basic reproduction number of enterovirus 71 and coxsackievirus A16 and A6: evidence from outbreaks of hand, foot, and mouth disease in China between 2011 and 2018. Clin Infect Dis. Nov 2, 2021;73(9):e2552-e2559. [CrossRef] [Medline]
- Xiao K, Duan L, Peng Y, et al. Epidemiologic features of enterovirus associated with hand foot and mouth disease in 2013 and 2014 in Shenzhen, China. Sci Rep. Mar 7, 2019;9(1):3856. [CrossRef] [Medline]
- Medici MC, Tummolo F, Arcangeletti MC, et al. A cluster of enterovirus 71 subgenogroup C2 in a nursery school, Italy, 2014. New Microbiol. Oct 2016;39(4):295-298. [Medline]
- Donato C, Hoi LT, Hoa NT, et al. Genetic characterization of enterovirus 71 strains circulating in Vietnam in 2012. Virology. Aug 2016;495:1-9. [CrossRef] [Medline]
- Zander A, Britton PN, Navin T, Horsley E, Tobin S, McAnulty JM. An outbreak of enterovirus 71 in metropolitan Sydney: enhanced surveillance and lessons learnt. Med J Aust. Dec 11, 2014;201(11):663-666. [CrossRef] [Medline]
- Xu M, Su L, Cao L, et al. Genotypes of the enterovirus causing hand foot and mouth disease in Shanghai, China, 2012-2013. PLoS One. Sep 23, 2015;10(9):e0138514. [CrossRef] [Medline]
- Chen JF, Zhang RS, Ou XH, Chen FM, Sun BC. The role of enterovirus 71 and coxsackievirus A strains in a large outbreak of hand, foot, and mouth disease in 2012 in Changsha. Int J Infect Dis. Nov 2014;28:17-25. [CrossRef]
- Liu MY, Liu J, Lai W, et al. Characterization of enterovirus 71 infection and associated outbreak of hand, foot, and mouth disease in Shawo of China in 2012. Sci Rep. Dec 12, 2016;6:38451. [CrossRef] [Medline]
- Moosa IA, Khatatbeh IN. The density paradox: are densely-populated regions more vulnerable to COVID-19? Int J Health Plann Manage. Sep 2021;36(5):1575-1588. [CrossRef] [Medline]
- Kumar A, Shukla D, Srivastava S, Idris MZ, Dhole TN. High frequency of enterovirus serotype circulation in a densely populated area of India. J Infect Dev Ctries. Jun 15, 2013;7(6):475-483. [CrossRef] [Medline]
- Enterovirus infection and diagnosis. Taiwan Centers for Disease Control. URL: https://www.cdc.gov.tw/File/Get/_lmsGf9Z_rJ7a7FoQjhB0g [Accessed 2024-03-01]
Abbreviations
CODEHOP: Consensus-Degenerate Hybrid Oligonucleotide Primers |
CVA: coxsackie A virus |
CVB: coxsackie B virus |
EV: enterovirus |
HFMD: hand, foot, and mouth disease |
IFA: immunofluorescence assay |
NPEV: nonpolio enterovirus |
TCDC: Taiwan Centers for Disease and Control |
Edited by Amaryllis Mavragani; submitted 12.04.24; peer-reviewed by Chi-Jeng Hsieh, Lieke Brouwer; final revised version received 29.05.24; accepted 13.06.24; published 05.09.24.
Copyright© Fang-Chen Liu, Bao-Chung Chen, Yao-Ching Huang, Shi-Hao Huang, Ren-Jei Chung, Pi-Ching Yu, Chia-Peng Yu. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 5.9.2024.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.