Characteristics of a large outbreak arising from a school field trip after COVID-19 restrictions were eased in 2022

Article information

Osong Public Health Res Perspect. 2024;15(1):83-89
Publication date (electronic) : 2024 February 5
doi : https://doi.org/10.24171/j.phrp.2023.0264
Honam Regional Center for Disease Control and Prevention, Korea Disease Control and Prevention Agency, Gwangju, Republic of Korea
Corresponding author: Jeonghee Yu Honam Regional Center for Disease Control and Prevention, Korea Disease Control and Prevention Agency, 103 Sangmusimin-ro, Seo-gu, Gwangju 61947, Republic of Korea E-mail: cheeyu@korea.kr
Received 2023 September 19; Revised 2023 November 22; Accepted 2023 November 27.

Abstract

Objectives

This study analyzed a large outbreak of coronavirus disease 2019 (COVID-19) that occurred during a high school field trip in the Jeonbuk region and aimed to identify risk factors for COVID-19 infection, with the goal of preventing such outbreaks in the future.

Methods

A retrospective cohort study of 737 participants, including 668 students and 69 staff at High School A, was designed to describe the epidemiological characteristics of this large COVID-19 outbreak. Logistic regression analysis was performed to calculate relative risks (odds ratios [ORs]) and 95% confidence intervals (CIs).

Results

There were 190 confirmed cases (174 students, 16 staff), with an attack rate of 25.8%. Small outbreaks were decreasing before the field trip, but this trend reversed after the trip, leading to larger outbreaks. Logistic regression showed an OR of 2.39 (95% CI, 1.66–3.43; p<0.05) for COVID-19 infection among field trip participants. Among them, 11th graders had an OR of 2.32 (95% CI, 1.53–3.52; p<0.05) compared to 10th graders, while no significant risk difference was found within same-grade teams.

Conclusion

There was a high risk for COVID-19 transmission during extracurricular activities with a large number of participants, such as field trips, even after the nationwide Omicron variant epidemic subsided. Even when students are separated into teams and follow different routes, it is challenging to design routes that entirely prevent contact between teams. Thus, programs should be designed carefully, and students with symptoms should be identified before and during the program to isolate them promptly.

Graphical abstract

Introduction

After the end of January 2022, the number of confirmed coronavirus disease 2019 (COVID-19) cases in the Republic of Korea began to increase with the emergence of the Omicron variant. The cases peaked in March and then started to decline gradually after April [1]. In response to this outbreak, Korean public health authorities initiated Phase 1 preparations for a return to normal life, which involved easing measures such as social distancing, starting from April 18, 2022 [2]. From May 2022, schools were given the option to switch back to in-person classes from the online learning routine that had been in place to prevent large COVID-19 outbreaks within educational settings. With the resumption of in-person classes, schools also restarted overnight programs, such as field trips [3]. In addition, schools developed COVID-19 prevention and management guidelines in collaboration with public health authorities. These guidelines aimed to establish an effective infection management system, which included monitoring for symptomatic individuals and the use of rapid self-test kits, to support a stable transition back to normal life [4].

Despite these efforts, however, a large outbreak took place among 431 individuals (404 students and 27 staff) who participated in a school field trip at High School A in Jeollabuk-do in June 2022, with 139 confirmed cases. High School A is a girls’ high school with a total enrollment of 737 students and staff (668 students and 69 staff members). The field trip was a 4-day event that took place from July 12 to July 15, 2022, in the Jeju Special Self-Governing Province. The attendees included 215 10th graders, 189 11th graders, and 27 teachers. Typically, the school monitored and tested individuals who showed symptoms to prevent and control the spread of infectious diseases. Confirmed cases were isolated to prevent further transmission within the school. On July 11, the day before the field trip, rapid antigen tests were administered to all participants. The field trip was organized into 4 teams (2 teams per grade), and each class traveled on designated buses. Furthermore, individuals exhibiting symptoms during the field trip were checked and tested daily. Those who tested positive were promptly sent home under staff supervision.

In this study, we aimed to identify risk factors in a large-scale outbreak that occurred during a school field trip when COVID-19 control measures were being eased. We seek to propose strategies and measures to prevent and manage such outbreaks in similar situations in the future.

Materials and Methods

Study Population and Case Definition

The study population comprised 737 students and staff of High School A (668 students, 69 staff), where a large COVID-19 outbreak took place after a school field trip in July 2022.

Cases at High School A were defined for the period from June 28, 2022, to July 21, 2022, using the following criteria: (1) detection of the COVID-19 gene via polymerase chain reaction or isolation of the virus, or (2) a positive result on a rapid antigen test administered by healthcare providers [5]. These criteria were in line with the diagnostic testing guidelines provided in the COVID-19 Response Guidelines. Applying this definition, a total of 190 cases were confirmed [5].

Study Design

A retrospective cohort design was utilized. Data were collected using an epidemiological survey questionnaire distributed to all students and staff. This questionnaire captured personal information, including grade, class, sex, age, participation in a field trip, the date of symptom onset, and the types of initial symptoms. Additional data were obtained from the school health administrator, which provided detailed information about the field trip, such as team divisions, bus boarding logistics, and the itinerary of locations visited at specific times. The Korea Disease Control and Prevention Agency’s COVID-19 Information System was utilized to confirm individual-level COVID-19 diagnosis statuses. This information was instrumental in defining the cases for our study.

The collected data were statistically analyzed and described to investigate the progression of the COVID-19 outbreak at High School A and the risk factors for infection during this large outbreak.

Statistical Analysis

The epidemic curve was constructed based on the time of onset of the first symptom. Among the 190 confirmed cases, 176 individuals were symptomatic (with 14 being asymptomatic); these cases were categorized by whether they were students or teachers, and by their attendance at a school field trip.

In assessing the incidence rate and risk factors, 2 separate analyses were conducted: one encompassing the entire study population and another focusing specifically on school trip attendees. Risk factors were subjected to statistical analysis and the results were expressed as odds ratios (ORs), adjusted for student/teacher status and sex, along with 95% confidence intervals (CIs).

To manage and visualize the data, Microsoft Excel ver. 2013 (Microsoft Corp.) was used, and statistical analyses were performed using the R ver. 3.6.3 (The R Foundation).

Ethics Review

This study was approved by the Institutional Review Board (IRB) of the Korea Disease Control and Prevention Agency (IRB No: KDCA-2023-07-03-PE-01).

Results

Attack Rate

Of the 737 students and staff at High School A, 190 met the definition of a case, resulting in an attack rate of 25.8%. Of the 190 cases, 174 were students, accounting for 91.6% of the cases (attack rate, 26.0%). Among student groups, 10th and 11th graders had the greatest number of cases (63 and 88, respectively), and accounted for 79.5% of the student cases. The highest attack rate was found among 11th graders (41.9%). Of all cases, 139 were attendees of the school field trip; in this group, the attack rate was 32.3%, which was 2-fold higher than that among non-attendees (Table 1).

General characteristics and attack rate in a COVID-19 outbreak in 2022

The symptoms reported among confirmed cases included sore throat (n=100, 52.6%), fever (n=79, 41.6%), cough (n=76, 40.0%), headache (n=33, 17.4%), and phlegm (n=31, 16.3%). There were no cases of severe symptoms necessitating hospitalization (Table 2).

Frequency and percentage of COVID-19 symptoms (overlapping)

Epidemic Curve

There were 2 distinct waves: the first from June 28 to July 12, 2022, and the second starting after the school field trip.

The first outbreak predominantly affected 10th graders, 12th graders, and staff (since the index case was diagnosed on June 28, 2022), peaking on July 10, 2022, with 14 confirmed cases, after which it subsided.

The second outbreak began with 4 confirmed cases on the day of the school field trip on July 12, 2022. It peaked on July 16, 2022, and eventually began to slowly subside. During the second outbreak, there was an increase in the number of confirmed cases as a result of close contact with a confirmed patient attending the school trip. Most of the confirmed cases during the second outbreak were attendees of the school trip, and the second outbreak was larger than the first due to trip-specific risk factors, such as traveling in the same bus and staying in the same accommodation (Figure 1).

Figure 1.

Number of symptomatic cases by date of symptom onset, school trip attendance, and grade level or staff status.

Risk Factors

Among all students and staff at High School A, the OR was 2.39 among school trip attendees (95% CI, 1.66–3.43; p<0.05) compared to non-attendees (Table 3).

Risk factors among all COVID-19 cases

Among the 10th and 11th graders who attended the school trip, the number of cases was 1.5 times higher among 11th graders than among 10th graders, with a statistically significant OR of 2.32 (95% CI, 1.53–3.52; p<0.05). However, there were no differences among teams within the same grade level (Table 4).

Risk factors among school trip attendees

During the school trip, there were 4 different teams (2 teams in each grade level), and the duration of their contact was 34.2 hours for 10th graders and 32.8 hours for 11th graders. The duration of contact between grade levels was 4.8 hours (Figure 2).

Figure 2.

Duration of contact at field trip sites between grade levels and teams. Each color denotes a field trip site, and the width of the box denotes the duration of time spent at the corresponding site (minutes).

Discussion

In response to the influx and spread of COVID-19 in 2020, educational authorities recommended that schools suspend in-person classes and transition to virtual learning from the first semester of 2020 [6]. However, to address the challenges of maintaining strict disease control and promoting sustainable COVID-19 responses amid the prolonged pandemic, authorities permitted schools to develop their own management systems starting in the second semester of 2022. This included the option to transition back to in-person classes.

The present study analyzed the characteristics and risk factors of a large outbreak that occurred as schools began to ease their control measures and resume school-wide extracurricular programs. Based on the findings, the following conclusions were drawn regarding important considerations when transitioning into phases where control measures are relaxed.

In response to the first outbreak at High School A before the school trip, High School A minimized path-crossing between classes and limited after-school programs. From June 30 to July 6, 2022, the school was conducting midterms, which resulted in only morning classes being held, thereby reducing contact among students. Consequently, from the time the index case was diagnosed until just before the school trip, a total of 35 cases were confirmed. During the subsequent outbreak, from July 12 to July 21, 2022, there were 155 confirmed cases, indicating that 81.6% of the total cases occurred in this second wave. The significant increase in cases during this period is largely attributed to the students spending extended periods together in enclosed spaces, such as buses, and staying in shared accommodations.

Despite confirmed cases of COVID-19 within the school prior to the school trip, the school decided to proceed with the trip to avoid the high costs associated with canceling prearranged accommodations and restaurant bookings. However, a more stringent management of close contacts of COVID-19 patients could have reduced the spread of the virus. Nonetheless, it is a daunting task for a single health care provider to manage all aspects of infection prevention and control in a school of 737 individuals. Therefore, it is essential to determine the optimal provider-to-individual ratio to ensure adequate staffing or resource allocation. This would enable comprehensive testing of all potential participants before a large event, such as a school trip, and the exclusion of those with confirmed infections [7].

During the school trip, an issue that arose was the difficulty in preventing teams from crossing paths, despite plans to minimize such occurrences. Space limitations made complete separation unfeasible. Additionally, the use of shared spaces like restaurants and accommodations heightened the risk of exposure in enclosed, crowded settings, which is particularly problematic for respiratory illnesses. However, the study did not monitor specific exposure scenarios for each team, complicating the task of providing a definitive explanation for the markedly different ORs observed across various grade levels. Despite these challenges, the data showed that teams sharing the same routes for prolonged periods had similar attack rates. To mitigate these risks, schools should consider organizing trips so that different grade levels visit separate regions or scheduling trips during distinct seasons, such as spring and fall [8].

At events where many attendees are expected, it is imperative to note that prevention is the best strategy for management. When planning activities such as school trips off-campus during the ongoing spread of COVID-19, it is important not only to monitor individuals for symptoms but also to screen close contacts to identify potential asymptomatic carriers in the incubation period. Should the school nurse be unable to make these determinations, schools are advised to consult with local epidemiological investigators. Additionally, an effective infection prevention and response system should be established. This system should include instructing attendees to promptly inform the chaperone if they experience symptoms and to rigorously maintain personal hygiene practices. Chaperones, in turn, must regularly check attendees for symptoms and be well-versed in the management manual to effectively handle any cases that arise.

HIGHLIGHTS

• There was a high risk for COVID-19 transmission during extracurricular activities with a large number of participants, such as field trips, even after the Omicron outbreak subsided.

• Even when students are divided into teams and follow distinct routes, designing paths that entirely prevent interactions between teams is challenging. Therefore, students still encounter each other closely during meals and in their accommodations.

• Programs should be designed carefully, and students with symptoms should be identified before and during the program in order to quarantine them promptly.

Notes

Ethics Approval

This study was approved by the Institutional Review Board of the Korea Disease Control and Prevention Agency (IRB No: KDCA-2023-07-03-PE-01).

Conflicts of Interest

The authors have no conflicts of interest to declare.

Funding

None.

Availability of Data

The datasets are not publicly available but are available from the corresponding author upon reasonable request.

Authors’ Contributions

Conceptualization: all authors; Data curation: SJK, EYK; Formal analysis: SJK; Investigation: SJK, EYK; Methodology: JY, SJK; Project administration: JY; Resources: JY; Software: SJK; Supervision: JY; Validation: JY; Visualization: SJK; Writing–original draft: SJK; Writing–review & editing: all authors. All authors read and approved the final manuscript.

Additional Contributions

Korea Disease Control and Prevention Agency provided statistical support and the photographs that constitute Figure 1.

References

1. Ahn S, Jang J, Park SY, et al. Outbreak report of COVID-19 during designation of class 1 infectious disease in the Republic of Korea (January 20, 2020 and April 24, 2022). Public Health Wkly Rep 2022;15:1759–72. Korean.
2. Ministry of Health and Welfare. Lifting social distancing measures after approximately 2 years and 1 month: emphasizing the importance of adhering to everyday preventive measures such as handwashing, ventilation, and disinfection for infection prevention [Internet]. Ministry of Health and Welfare; 2022. [cited 2023 Aug 12]. Available from: https://www.mohw.go.kr/synap/doc.html?fn=1650243053324_20220418095053.pdf&rs=/upload/reresu/202312/. Korean.
3. Ministry of Education. Announcement of transitioning back to normal school operations post-Omicron [Internet]. Ministry of Education; 2022. [cited 2023 Aug 12]. Available from: https://www.moe.go.kr/boardCnts/viewRenew.do?boardID=294&lev=0&statusYN=W&s=moe&m=020402&opType=N&boardSeq=91337. Korean.
4. Ministry of Education. Kindergarten, elementary, middle school and special school COVID-19 infection prevention management guidelines [Internet]. 7th edth ed. Ministry of Education; 2022. [cited 2023 Aug 12]. Available from: https://www.moe.go.kr/boardCnts/viewRenew.do?boardID=72756&lev=0&statusYN=W&s=moe&m=031304&opType=N&boardSeq=91415. Korean.
5. Korea Disease Control and Prevention Agency (KDCA). COVID-19 response guidelines (for local governments) [Internet]. 13-3rd edth ed. KDCA; 2023. [cited 2023 Aug 12]. Available from: https://portal.kdca.go.kr/por_uni/synap/skin/doc.html?fn=202305260145158891&rs=/por_uni/synas/preview/202312. Korean.
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7. Blaisdell LL, Cohn W, Pavell JR, et al. Preventing and mitigating SARS-CoV-2 transmission: four overnight camps, Maine, June–August 2020. MMWR Morb Mortal Wkly Rep 2020;69:1216–20.
8. Stein-Zamir C, Abramson N, Shoob H, et al. A large COVID-19 outbreak in a high school 10 days after schools’ reopening, Israel, May 2020. Euro Surveill 2020;25:2001352.

Article information Continued

Figure 1.

Number of symptomatic cases by date of symptom onset, school trip attendance, and grade level or staff status.

Figure 2.

Duration of contact at field trip sites between grade levels and teams. Each color denotes a field trip site, and the width of the box denotes the duration of time spent at the corresponding site (minutes).

Table 1.

General characteristics and attack rate in a COVID-19 outbreak in 2022

Characteristic Total (n=737) Case (n=190) Non-cases (n=547) Attack rate (%)
Age group (y)
 0–19 678 (92.0) 174 (91.6) 504 (92.1) 25.7
 20–39 20 (2.7) 6 (3.2) 14 (2.6) 30.0
 ≥40 39 (5.3) 10 (5.3) 29 (5.3) 25.6
Sex
 Male 25 (3.4) 5 (2.6) 20 (3.7) 20.0
 Female 712 (96.6) 185 (97.4) 527 (96.3) 26.0
Identity
 Student 668 (90.6) 174 (91.6) 494 (90.3) 26.0
 Staff 69 (9.4) 16 (8.4) 53 (9.7) 23.2
Grade levela)
 10th grade 236 (32.0) 63 (33.2) 173 (31.6) 26.7
 11th grade 210 (28.5) 88 (46.3) 122 (22.3) 41.9
 12th grade 222 (30.1) 23 (12.1) 199 (36.4) 10.4
School trip attendance
 Non-attendee 306 (41.5) 51 (26.8) 255 (46.6) 16.7
 Attendee 431 (58.5) 139 (73.2) 292 (53.4) 32.3
Team
 10th grade team 1 125 (17.0) 25 (13.2) 100 (18.3) 20.0
 10th grade team 2 103 (14.0) 29 (15.3) 74 (13.5) 28.2
 11th grade team 1 113 (15.3) 49 (25.8) 64 (11.7) 43.4
 11th grade team 2 90 (12.2) 36 (18.9) 54 (9.9) 40.0

Data are presented as n (%) unless otherwise stated.

a)

Excluding staff (n=69).

Table 2.

Frequency and percentage of COVID-19 symptoms (overlapping)

Symptom Value (n=190)
Sore throat 102 (53.7)
Fever 80 (42.1)
Cough 76 (40.0)
Headache 33 (17.4)
Phlegm 31 (16.3)
Chills 12 (6.3)
Muscle pain 9 (4.7)
Runny nose 8 (4.2)
Stuffed nose 5 (2.6)
Diarrhea 3 (1.6)
Othera) 8 (4.2)
Asymptomatic 14 (7.4)
Unknown 17 (8.9)

Data are presented as n (%).

a)

Abdominal pain, loss of smell, hoarse voice, dizziness, loss of taste, dyspnea, chest pain, and vomiting (1 case each).

Table 3.

Risk factors among all COVID-19 cases

Category Total (n=737) Case (n=190) Non-case (n=547) aOR (95% CI) pa)
Sex
 Male 25 5 20 Ref.c) -
 Female 712 185 527 1.36 (0.41–4.59) 0.62
Identity
 Staff 69 16 53 Ref.c) -
 Students 668 174 494 0.97 (0.53–1.77) 0.93
School trip attendanceb)
 Non-attendee 306 51 255 Ref.c) -
 Attendee 431 139 292 2.39 (1.66–3.43) <0.05

The age group variable was excluded from the adjusted model due to convergence issues caused by multicollinearity.

aOR, adjusted odds ratio; CI, confidence interval; ref., reference; -, This table presents the results of logistic regression analysis based on sex, social status, and participation in school trips among all participants, suggesting the possibility that participating in the school trip was a risk factor.

a)

Determined using logistic regression analysis.

b)

School trip attendees were students (10th and 11th graders) and staff.

c)

Reference represents the value indicating the reference level (=0) for the respective row.

Table 4.

Risk factors among school trip attendees

Category Total (n=431) Case (n=139) Non-case (n=292) aOR (95% CI) pa)
Sex
 Male 10 4 6 Ref.c) -
 Female 421 135 286 1.4 (0.27–7.16) 0.69
Identity
 Staff 27 12 15 Ref.c)- -
 Student 404 127 277 0.52 (0.19–1.42) 0.2
Grade levelb)
 10th grade 228 54 174 Ref.c) -
 11th grade 203 85 118 2.32 (1.53–3.52) <0.05

aOR, adjusted odds ratio; CI, confidence interval; ref., reference; -, This table displays the results of logistic regression analysis for school trip participants, categorized by sex, social status, and grade level. The results suggest that there were differences in risk factors among different grades.

a)

Determined using logistic regression analysis.

b)

Including staff who chaperoned each grade level.

c)

Reference represents the value indicating the reference level (=0) for the respective row.