National Trends in Rotavirus Enteritis among Infants in South Korea, 2010–2021: A Nationwide Cohort
Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Franco, M.A.; Greenberg, H.B. Rotaviruses, Noroviruses, and Other Gastrointestinal Viruses. Goldman’s Cecil Med. 2012, 2, 2144–2147. [Google Scholar]
- Russo, T.; Pizuorno, A.; Oskrochi, G.; Latella, G.; Massironi, S.; Schettino, M.; Aghemo, A.; Pugliese, N.; Brim, H.; Ashktorab, H. Gastrointestinal Manifestations, Clinical Characteristics and Outcomes of COVID-19 in Adult and Pediatric Patients. SOJ Microbiol. Infect. Dis. 2021, 8, 109. [Google Scholar] [CrossRef] [Scilit]
- Crawford, S.E.; Ramani, S.; Tate, J.E.; Parashar, U.D.; Svensson, L.; Hagbom, M.; Franco, M.A.; Greenberg, H.B.; O’Ryan, M.; Kang, G.; et al. Rotavirus infection. Nature reviews. Dis. Primers 2017, 3, 17083. [Google Scholar] [CrossRef] [Scilit]
- Dhama, K.; Chauhan, R.S.; Mahendran, M.; Malik, S.V. Rotavirus diarrhea in bovines and other domestic animals. Vet. Res. Commun. 2009, 33, 1–23. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Diggle, L. Rotavirus diarrhoea and future prospects for prevention. Br. J. Nurs. Mark Allen Publ. 2007, 16, 970–974. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sawicka, B.; Aslan, I.; Della Corte, V.; Periasamy, A.; Krishnamurthy, S.K.; Mohammed, A.; Tolba Said, M.M.; Saravanan, P.; Del Gaudio, G.; Adom, D.; et al. The coronavirus global pandemic and its impacts on society. Coronavirus Drug Discov. 2022, 1, 267–311. [Google Scholar] [CrossRef] [Scilit]
- Cha, Y.; Jung, W.; Seo, M.; Rahmati, M. The emerging pandemic recent: SARS-CoV-2. Life Cycle 2023, 3, e2. [Google Scholar] [CrossRef] [Scilit]
- Kim, J.Y.; Kim, S.H.; Choi, H.; Yang, H.J.; Hong, M.J.; Lim, Y.-S.; Yoon, H.-J. Incidence of Upper Respiratory Diseases During the COVID-19 Pandemic: A Nationwide Data-Based Epidemiological Study. Korean J. Otorhinolaryngol.-Head Neck Surg. 2023, 66, 162–169. [Google Scholar] [CrossRef] [Scilit]
- Baier, M.; Knobloch, M.J.; Osman, F.; Safdar, N. Effectiveness of Mask-Wearing on Respiratory Illness Transmission in Community Settings: A Rapid Review. Disaster Med. Public Health Prep. 2022, 17, e96. [Google Scholar] [CrossRef] [Scilit]
- Inaida, S.; Mizukoshi, A.; Azuma, K.; Okumura, J. Reduced norovirus epidemic follows increased sales of hand hygiene products in Japan. Environ. Health Prev. Med. 2023, 28, 18. [Google Scholar] [CrossRef] [Scilit]
- Lee, S.W.; Yang, J.M.; Moon, S.Y.; Kim, N.; Ahn, Y.M.; Kim, J.M.; Shin, J.I.; Suh, D.I.; Yon, D.K. Association between mental illness and COVID-19 in South Korea: A post-hoc analysis. The lancet. Psychiatry 2021, 8, 271–272. [Google Scholar] [CrossRef] [Scilit]
- Lee, S.W.; Yang, J.M.; Yoo, I.K.; Moon, S.Y.; Ha, E.K.; Yeniova, A.; Cho, J.Y.; Kim, M.S.; Shin, J.I.; Yon, D.K. Proton pump inhibitors and the risk of severe COVID-19: A post-hoc analysis from the Korean nationwide cohort. Gut 2021, 70, 2013–2015. [Google Scholar] [CrossRef] [Scilit]
- Song, S.O.; Jung, C.H.; Song, Y.D.; Park, C.Y.; Kwon, H.S.; Cha, B.S.; Park, J.Y.; Lee, K.U.; Ko, K.S.; Lee, B.W. Background and data configuration process of a nationwide population-based study using the korean national health insurance system. Diabetes Metab. J. 2014, 38, 395–403. [Google Scholar] [CrossRef] [Scilit]
- Kim, S.Y. Nationwide COVID-19 vaccination coverage and COVID-19 incidence in South Korea, January 2022: A national official report. Life Cycle 2022, 2, e2. [Google Scholar] [CrossRef] [Scilit]
- Park, H.; Kim, Y.R.; Pyun, Y.; Joo, H.; Shin, A. Operational Definitions of Colorectal Cancer in the Korean National Health Insurance Database. J. Prev. Med. Public Health 2023, 56, 312–318. [Google Scholar] [CrossRef] [Scilit]
- Cho, Y.K.; Kim, M.; Kim, Y.J.; Jung, C.H.; Lee, W.J.; Park, J.Y. Predictive value of the Framingham steatosis index for cardiovascular risk: A nationwide population-based cohort study. Front. Cardiovasc. Med. 2023, 10, 1163052. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lee, S.W. Methods for testing statistical differences between groups in medical research: Statistical standard and guideline of Life Cycle Committee. Life Cycle 2022, 2, e1. [Google Scholar] [CrossRef] [Scilit]
- Lee, S.W. Regression analysis for continuous independent variables in medical research: Statistical standard and guideline of Life Cycle Committee. Life Cycle 2022, 2, e3. [Google Scholar] [CrossRef] [Scilit]
- Grochowska, M.; Ambrożej, D.; Wachnik, A.; Demkow, U.; Podsiadły, E.; Feleszko, W. The Impact of the COVID-19 Pandemic Lockdown on Pediatric Infections-A Single-Center Retrospective Study. Microorganisms 2022, 10, 178. [Google Scholar] [CrossRef] [Scilit]
- Li, W.; Zhu, Y.; Lou, J.; Chen, J.; Xie, X.; Mao, J. Rotavirus and adenovirus infections in children during COVID-19 outbreak in Hangzhou, China. Transl. Pediatr. 2021, 10, 2281–2286. [Google Scholar] [CrossRef] [Scilit]
- Troeger, C.; Khalil, I.A.; Rao, P.C.; Cao, S.; Blacker, B.F.; Ahmed, T.; Armah, G.; Bines, J.E.; Brewer, T.G.; Colombara, D.V.; et al. Rotavirus Vaccination and the Global Burden of Rotavirus Diarrhea Among Children Younger Than 5 Years. JAMA Pediatr. 2018, 172, 958–965. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lee, S.G.; Jeon, S.Y.; Park, K.S. Rotavirus Vaccine Coverage and Related Factors. J. Korean Soc. Matern. Child. Health 2019, 23, 175–184. [Google Scholar] [CrossRef] [Scilit]
- Kim, K.G.; Kee, H.Y.; Park, H.J.; Chung, J.K.; Kim, T.S.; Kim, M.J. The Long-Term Impact of Rotavirus Vaccines in Korea, 2008–2020; Emergence of G8P[8] Strain. Vaccines 2021, 9, 406. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Huh, K.; Jung, J.; Hong, J.; Kim, M.; Ahn, J.G.; Kim, J.H.; Kang, J.M. Impact of Nonpharmaceutical Interventions on the Incidence of Respiratory Infections During the Coronavirus Disease 2019 (COVID-19) Outbreak in Korea: A Nationwide Surveillance Study. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2021, 72, e184–e191. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yun, J.; Kim, C.Y.; Son, S.H.; Bae, C.W.; Choi, Y.S.; Chung, S.H. Birth Rate Transition in the Republic of Korea: Trends and Prospects. J. Korean Med. Sci. 2022, 37, e304. [Google Scholar] [CrossRef] [Scilit]
- Gurwith, M.; Wenman, W.; Hinde, D.; Feltham, S.; Greenberg, H. A Prospective Study of Rotavirus Infection in Infants and Young Children. J. Infect. Dis. 1981, 144, 218–224. [Google Scholar] [CrossRef] [Scilit]
- Seo, S.H. Low fertility trend in the Republic of Korea and the problems of its family and demographic policy implementation. Popul. Econ. 2019, 3, 29–35. [Google Scholar] [CrossRef] [Scilit]
- Song, J.-E.; Chae, H.-J.; Ko, J.M.; In Yang, J.; Kim, T. Effects of a maternal role adjustment program for first time mothers who use postpartum care centers (Sanhujoriwon) in South Korea: A quasi-experimental study. BMC Pregnancy Childbirth 2020, 20, 227. [Google Scholar] [CrossRef] [Scilit]
- Thapa, P.; Poudyal, A.; Poudel, R.; Upadhyaya, D.P.; Timalsina, A.; Bhandari, R.; Baral, J.; Bhandari, R.; Joshi, P.C.; Thapa, P.; et al. Prevalence of low birth weight and its associated factors: Hospital based cross sectional study in Nepal. PLoS Glob. Public Health 2022, 2, e0001220. [Google Scholar] [CrossRef] [Scilit]
- Kraay, A.N.M.; Ionides, E.L.; Lee, G.O.; Trujillo, W.F.C.; Eisenberg, J.N.S. Effect of childhood rotavirus vaccination on community rotavirus prevalence in rural Ecuador, 2008–2013. Int. J. Epidemiol. 2020, 49, 1691–1701. [Google Scholar] [CrossRef] [Scilit]

| Variables | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total patients | 5843 | 4955 | 4711 | 4410 | 3238 | 3445 | 2521 | 1861 | 1573 | 1125 | 787 | 18 |
| Sex (n, %) | ||||||||||||
| Male | 3178 (54.39) | 2751 (55.52) | 2602 (55.23) | 2369 (53.72) | 1782 (55.03) | 1899 (55.12) | 1386 (54.98) | 1005 (54.00) | 829 (52.70) | 649 (57.69) | 427 (54.26) | 08 (44.44) |
| Female | 2665 (45.61) | 2204 (44.48) | 2109 (44.77) | 2041 (46.28) | 1456 (44.97) | 1546 (44.88) | 1135 (45.02) | 856 (46.00) | 744 (47.30) | 476 (42.31) | 360 (45.74) | 10 (55.56) |
| Region of residence (n, %) | ||||||||||||
| Urban | 2507 (42.91) | 2332 (47.06) | 2160 (45.85) | 2181 (49.46) | 1428 (44.10) | 1455 (42.24) | 1144 (45.38) | 762 (40.95) | 678 (43.10) | 492 (43.73) | 321 (40.79) | 9 (50.00) |
| Rural | 3336 (57.09) | 2623 (52.94) | 2551 (54.15) | 2229 (50.54) | 1810 (55.90) | 1990 (57.76) | 1377 (54.62) | 1099 (59.05) | 895 (56.90) | 633 (56.27) | 466 (59.21) | 9 (50.00) |
| Household income (n, %) | ||||||||||||
| Low | 2410 (41.25) | 2027 (40.91) | 1820 (38.63) | 1601 (36.30) | 1249 (38.57) | 1254 (36.40) | 914 (36.26) | 671 (36.06) | 559 (35.54) | 413 (36.71) | 279 (35.45) | 6 (33.33) |
| Middle | 2383 (40.78) | 1973 (39.82) | 1998 (42.41) | 1883 (42.70) | 1317 (40.67) | 1460 (42.38) | 1058 (41.97) | 761 (40.89) | 643 (40.88) | 456 (40.53) | 318 (40.41) | 6 (33.33) |
| High | 1050 (17.97) | 955 (19.27) | 893 (18.96) | 926 (21.00) | 672 (20.75) | 731 (21.22) | 549 (21.78) | 429 (23.05) | 371 (23.59) | 256 (22.76) | 190 (24.14) | 6 (33.33) |
| Patient department (n, %) | ||||||||||||
| OPD | 1913 (32.74) | 1607 (32.43) | 1457 (30.93) | 1506 (34.15) | 855 (26.41) | 850 (24.67) | 596 (23.64) | 440 (23.64) | 424 (26.95) | 340 (30.22) | 296 (37.61) | 5 (27.78) |
| IPD | 3930 (67.26) | 3348 (67.57) | 3254 (69.07) | 2904 (65.85) | 2383 (73.59) | 2595 (75.33) | 1925 (76.36) | 1421 (76.36) | 1149 (73.05) | 785 (69.78) | 491 (62.39) | 13 (72.22) |
| Variables (n, %) | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total OPD | 1913 | 1607 | 1457 | 1506 | 855 | 850 | 596 | 440 | 424 | 340 | 296 | 5 |
| Sex | ||||||||||||
| Male | 1018 (53.21) | 901 (56.07) | 767 (52.64) | 813 (53.98) | 444 (51.93) | 480 (56.47) | 320 (53.69) | 239 (54.32) | 217 (51.18) | 196 (57.65) | 150 (50.68) | 3 (60.00) |
| Female | 895 (46.79) | 706 (43.93) | 690 (47.36) | 693 (46.02) | 411 (48.07) | 370 (43.53) | 276 (46.31) | 201 (45.68) | 207 (48.82) | 144 (42.35) | 146 (49.32) | 2 (40.00) |
| Region of residence | ||||||||||||
| Urban | 713 (37.27) | 678 (42.19) | 639 (43.86) | 811 (53.85) | 376 (43.98) | 327 (38.47) | 276 (46.31) | 171 (38.86) | 166 (39.15) | 120 (35.29) | 114 (38.51) | 1 (20.00) |
| Rural | 1200 (62.73) | 929 (57.81) | 818 (56.14) | 695 (46.15) | 479 (56.02) | 523 (61.53) | 320 (53.69) | 269 (61.14) | 258 (60.85) | 220 (64.71) | 182 (61.49) | 4 (80.00) |
| Household income | ||||||||||||
| Low | 758 (39.62) | 647 (40.26) | 519 (35.62) | 493 (32.74) | 313 (36.61) | 301 (35.41) | 218 (36.58) | 150 (34.09) | 149 (35.14) | 118 (34.71) | 102 (34.46) | 1 (20.00) |
| Middle | 801 (41.87) | 629 (39.14) | 657 (45.09) | 667 (44.29) | 344 (40.23) | 358 (42.12) | 241 (40.44) | 183 (41.59) | 174 (41.04) | 147 (43.24) | 117 (39.53) | 2 (40.00) |
| High | 354 (18.50) | 331 (20.60) | 281 (19.29) | 346 (22.97) | 198 (23.16) | 191 (22.47) | 137 (22.99) | 107 (24.32) | 101 (23.82) | 75 (22.06) | 77 (26.01) | 2 (40.00) |
| Birth weight | ||||||||||||
| Normal | 1770 (92.52) | 1461 (90.91) | 1311 (89.98) | 1411 (93.69) | 753 (88.07) | 740 (87.06) | 503 (84.40) | 388 (88.18) | 376 (88.68) | 308 (90.59) | 258 (87.16) | 5 (100.00) |
| LBW | 143 (7.48) | 146 (9.09) | 146 (10.02) | 95 (6.31) | 102 (11.93) | 110 (12.94) | 93 (15.60) | 52 (11.82) | 48 (11.32) | 32 (9.41) | 38 (12.84) | 0 (0.00) |
| Variables (n, %) | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total IPD | 3930 | 3348 | 3254 | 2904 | 2383 | 2595 | 1925 | 1421 | 1149 | 785 | 491 | 13 |
| Sex | ||||||||||||
| Male | 2160 (54.96) | 1850 (55.26) | 1835 (56.39) | 1556 (53.58) | 1338 (56.15) | 1419 (54.68) | 1066 (55.38) | 766 (53.91) | 612 (53.26) | 453 (57.71) | 277 (56.42) | 5 (38.46) |
| Female | 1770 (45.04) | 1498 (44.74) | 1419 (43.61) | 1348 (46.42) | 1045 (43.85) | 1176 (45.32) | 859 (44.62) | 655 (46.09) | 537 (46.74) | 332 (42.29) | 214 (43.58) | 8 (61.54) |
| Region of residence | ||||||||||||
| Urban | 1794 (45.65) | 1654 (49.40) | 1521 (46.74) | 1370 (47.18) | 1052 (44.15) | 1128 (43.47) | 868 (45.09) | 591 (41.59) | 512 (44.56) | 372 (47.39) | 207 (42.16) | 8 (61.54) |
| Rural | 2136 (54.35) | 1694 (50.60) | 1733 (53.26) | 1534 (52.82) | 1331 (55.85) | 1467 (56.53) | 1057 (54.91) | 830 (58.41) | 637 (55.44) | 413 (52.61) | 284 (57.84) | 5 (38.46) |
| Household income | ||||||||||||
| Low | 1652 (42.04) | 1380 (41.22) | 1301 (39.98) | 1108 (38.15) | 936 (39.28) | 953 (36.72) | 696 (36.16) | 521 (36.66) | 410 (35.68) | 295 (37.58) | 177 (36.05) | 5 (38.46) |
| Middle | 1582 (40.25) | 1344 (40.14) | 1341 (41.21) | 1216 (41.87) | 973 (40.83) | 1102 (42.47) | 817 (42.44) | 578 (40.68) | 469 (40.82) | 309 (39.36) | 201 (40.94) | 4 (30.77) |
| High | 696 (17.71) | 624 (18.64) | 612 (18.81) | 580 (19.97) | 474 (19.89) | 540 (20.81) | 412 (21.40) | 322 (22.66) | 270 (23.50) | 181 (23.06) | 113 (23.01) | 4 (30.77) |
| Birth weight | ||||||||||||
| Normal | 3739 (95.14) | 3129 (93.46) | 2992 (91.95) | 2698 (92.91) | 2143 (89.93) | 2362 (91.02) | 1762 (91.53) | 1294 (91.06) | 1035 (90.08) | 724 (92.23) | 449 (91.45) | 10 (76.92) |
| LBW | 191 (4.86) | 219 (6.54) | 262 (8.05) | 206 (7.09) | 240 (10.07) | 233 (8.98) | 163 (8.47) | 127 (8.94) | 114 (9.92) | 61 (7.77) | 42 (8.55) | 3 (23.08) |
| Pre-COVID-19 Pandemic | During the COVID-19 Pandemic | Total | |
|---|---|---|---|
| Total patients, n | 33,682 | 805 | 34,487 |
| Average patients per year, n | 3682 | 403 | 2874 |
| Total OPD, n | 9988 | 301 | 10,289 |
| Total IPD, n | 23,694 | 504 | 24,198 |
| Total expense, KRW | 37,894,439,980 | 1,616,707,590 | 39,511,147,570 |
| Average expense per year, KRW | 3,789,443,998 | 808,353,795 | 3,292,595,630 |
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Lee, H.J.; Choi, Y.; Park, J.; Choi, Y.-S.; Yon, D.K.; Kim, D.H. National Trends in Rotavirus Enteritis among Infants in South Korea, 2010–2021: A Nationwide Cohort. Children 2023, 10, 1436. https://doi.org/10.3390/children10091436
Lee HJ, Choi Y, Park J, Choi Y-S, Yon DK, Kim DH. National Trends in Rotavirus Enteritis among Infants in South Korea, 2010–2021: A Nationwide Cohort. Children. 2023; 10(9):1436. https://doi.org/10.3390/children10091436
Chicago/Turabian StyleLee, Hyun Jee, Yujin Choi, Jaeyu Park, Yong-Sung Choi, Dong Keon Yon, and Do Hyun Kim. 2023. "National Trends in Rotavirus Enteritis among Infants in South Korea, 2010–2021: A Nationwide Cohort" Children 10, no. 9: 1436. https://doi.org/10.3390/children10091436
APA StyleLee, H. J., Choi, Y., Park, J., Choi, Y.-S., Yon, D. K., & Kim, D. H. (2023). National Trends in Rotavirus Enteritis among Infants in South Korea, 2010–2021: A Nationwide Cohort. Children, 10(9), 1436. https://doi.org/10.3390/children10091436

