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BY 4.0 license Open Access Published online by De Gruyter April 15, 2024

Epidemiology of Mycoplasma pneumoniae in children with acute respiratory infections in Hangzhou during January 2021 to June 2023

  • Lin Chen , Shuangshuang Huang , Hao Wang , Fengqing Cai , Zhaoyang Peng ORCID logo and Shanshan Wang EMAIL logo

Abstract

Objectives

Mycoplasma pneumoniae (MP) is known to be a common pathogen causing human respiratory infections. On December 7, 2022, the Chinese government announced 10 new measures of Prevention and Control of COVID-19, marking the onset of the post-COVID-19 era. This study aimed to investigate the epidemiological characteristics of Mycoplasma pneumoniae (MP) infections among children from January 2021 to June 2023.

Methods

Children with respiratory tract infection were enrolled in the study with fever and one or more respiratory symptoms. A serological diagnosis was confirmed with MP IgM antibodies.

Results

A total of 18,763 patients were enrolled, of whom 4,867 cases were MP-positive, resulting in a positivity rate of 25.9 %. The MP positivity rate increased annually, with 18.6 , 26.7, and 33.2 % in 2021, 2022, and 2023, respectively. The main disease type of MP infection was Mycoplasma pneumoniae pneumonia (MPP), with 74.0 , 87.8, and 86.4 % in 2021, 2022, and 2023, respectively. Higher positivity rates were concentrated in children aged 6 years and older, and the positivity rate in children under 1 year of age in 2023 is the largest increase among all age groups.

Conclusions

The positivity rate of MP increased significantly after the adjustment of COVID-19 prevention and control in China, and the most significant increase was seen in the infant group. Effective prevention and control measures should be implemented to reduce the prevalence of MP infection among children aged 6 years older and the infant group (<1 year).

Introduction

Respiratory tract infections are the most common infectious diseases in humans, with children being particularly susceptible. The common pathogens include bacteria, viruses, chlamydia and mycoplasma. MP infection is among the most common infections in children [1], [2], [3]. MP is the smallest cell wall deficient prokaryote. The microbes are wall-less and malleable organisms which are able to grow and proliferate under cell-free conditions [4]. MP is contagious and can be spread through aerosols produced by coughing and sneezing. The main symptoms of MP infection are typical symptoms such as fever, wheezing, cough and expectoration [5]. These symptoms cannot be distinguished clearly from those of other respiratory virus infections, and their clinical diagnosis is limited [6]. The incidence of MPP has been increasing annually [7], with some progressing to severe or refractory pneumonia. Therefore, monitoring the epidemiological characteristics of MP is imperative.

In this study, we conducted a retrospective analysis of the positivity rate of MP in our hospital from January 2021 to June 2023 using data from a Children’s Hospital in Hangzhou. We explored the epidemiology in children with respiratory tract infection and assessed the prevalence of MP. Early intervention to be developed based on the findings from the present study can help reduce the incidence of MP in children.

Materials and methods

Date collection

Children with respiratory tract infection in outpatient and inpatient departments of Children’s Hospital, Zhejiang University School of Medicine from January 2021 to June 2023 were enrolled. Data such as age, gender and disease diagnosis of the children were obtained from electronic medical records. All enrolled children met the following criteria: (1) body temperature>37.5 °C and one or more respiratory symptoms (cough, sore throat,etc.) and (2) children aged under 18 years [8]. The exclusion criteria for this study were as follows: (1) children with recurrent chronic respiratory infections; (2) children with congenital pulmonary or airway abnormalities and compromised immune systems [9]. All of the children were divided into five age groups: 0–28 days, 1–12 months, 1–3 years, 3–6 years, and over 6 years old. MP-positive detection rates were compared month by month.

MP detection

Blood samples were collected from all enrolled patients on admission and stored in heparin anticoagulant tubes, centrifuged at 2,500 r/min for 5 min. The centrifuged serum was used for detection. The assay was performed by a two-step indirect method via direct chemiluminescence technology (iFlash 3,000, YHLO, Shenzhen, China) using a commercial kit (YHLO Biotechnology Co., Ltd., China) for the detection of MP IgM antibodies in the specimens. A serological diagnosis was confirmed when IgM antibodies≥1.1 were detected in the serum. The performance verification of the kit and instrument in our laboratory before use showed that the sensitivity and specificity of the test in the study were 96.84 %, and 80.00 %, respectively, and the total clinical coincidence rate was 97.00 % [10].

Statistical analysis

All data were entered into an Excel spreadsheet and analyzed using SPSS software. Categorical variables were analyzed using the chi-square test or Fisher’s exact test. A value of p<0.05 was considered statistically significant.

Results

Patient characteristics

As shown in Table 1, a total of 18,763 pediatric patients were diagnosed with acute respiratory infections at our hospital from January 2021 to June 2023. Among them, there were 5,954 cases in 2021, 7,537 cases in 2022, and 5,272 cases in the first half of 2023. Of the total cases, 10,524 (56.1 %) were male, and 8,239 (43.9 %) were female. But the positivity rate of MP in girls was slightly higher than in boys (21.8 vs. 16.3 % in 2021, 29.6 vs. 24.3 % in 2022, 37.2 vs. 30.0 % in 2023, p<0.001 for all three years).

Table 1:

The characteristics of patients and detection of MP from January 2021 to June 2023.

Categories 2021 (Jan–Dec) (n=5,954) 2022 (Jan–Dec) (n=7,537) 2023 (Jan–Dec) (n=5,272) χ2 p-Value
Gender

Male 570/3,495 (16.3 %) 996/4,106 (24.3 %) 876/2,923 (30.0 %) 122.948 <0.001a
Female 535/2,459 (21.8 %) 1,015/3,431 (29.6 %) 875/2,349 (37.2 %) 138.904 <0.001a

Age

0–28 days 0/397 (0.0 %) 2/213 (0.9 %) 0/3 (0.0 %) 3.768 0.152b
1–12 months 186/1865 (9.2 %) 141/1,490 (9.5 %) 113/828 (13.6 %) 10.964 0.004a
1–3 years 417/1,643 (25.4 %) 477/1,696 (28.1 %) 371/1,126 (32.9 %) 18.904 <0.001a
3–6 years 379/1,664 (22.7 %) 825/2,701 (30.5 %) 681/1884 (36.1 %) 75.304 <0.001a
>6 years 123/385 (31.9 %) 566/1,437 (39.5 %) 586/1,431 (41.0 %) 10.357 0.006a

Diagnose

URTI 70/6.4 % 52/2.6 % 55/3.1 % 30.52 <0.001a
Bronchitis 217/19.6 % 193/9.6 % 183/10.5 % 74.873 <0.001a
Pneumonia 818/74.0 % 1766/87.8 % 1,513/86.4 % 112.026 <0.001a
MP-positive patients 1,105 (18.6 %) 2011 (26.7 %) 1751 (33.2 %) 316.178 <0.001a
MPP/total pneumonia 818/4,376 (18.7 %) 1766/5,892 (30.0 %) 1,513/4,140 (36.5 %) 112.026 <0.001a
  1. Data are shown as the positive number/total number (%). aPearson χ2 test. bContinuity correction χ2 test.

The age of children included in the study ranged from 1 day to 17 years. Children aged>6 years had the highest positivity rate of MP (31.9 % in 2021, 39.5 % in 2022, and 41.0 % in the first half of 2023) (p<0.05, shown in Table 1).

In addition, we counted the number of different diagnoses with MP. There were 1,105 MP-positive cases in 2021, of which 70(6.4 %) were diagnosed with upper respiratory tract infection (URTI), 217 (19.6 %) with bronchitis and 818 (74.0 %) with pneumonia; 2,011 cases in 2022, of which 1,766 (87.8 %) with pneumonia; and 1,751 cases in 2023, of which 1,513 (86.4 %) with pneumonia (p<0.001).

Moreover, we further calculated the distribution of rate of MPP in total pneumonia. The total number of patients diagnosed with pneumonia was 4,376 in 2021, of which 818 (18.7 %) were MPP. In 2022 5,892 cases were diagnosed with pneumonia, and 1,766 (30.0 %) were MPP. In 2023, 1,513 (36.5 %) cases were MPP among all 4,140 pneumonia cases. The rate of MPP in pneumonia is increasing year by year (p<0.001).

Overall detection of MP

From the overall trend of medical treatment, the number of medical visits in 2023 increased significantly, and the total number and positivity rate were also significantly higher than the same period, i.e., January–June, in 2021 and 2022 (p<0.001, shown in Table 2). In 2021, the positivity rates of MP fluctuated less throughout the year, with a minor peak in May (23.1 %) (p<0.001). In 2022, MP positivity rates were highest in July, August, and September, at 38.0 , 42.2, and 31.4 %, respectively (p<0.05). The highest rate was reached in August. Positivity rates decreased slightly in October and November but started to increase significantly in December. In January and February 2023, the positivity rates continued to rise, reaching 2.4 times that of the same period in 2022 and 2021 (p<0.001). Moreover, in June 2023, it reached the highest value for the first half of 2023 (Figure 1).

Table 2:

Monthly distribution of MP from 2021 (January-June) to 2023 (January–June).

Month 2021 (n=2,444) 2022 (n=3,468) 2023 (n=5,272) χ2 p-Value
1 99/631 (15.7 %) 105/676 (15.5 %) 315/859 (36.7 %) 126.21 <0.001
2 52/295 (17.6 %) 59/480 (12.3 %) 108/316 (34.2 %) 58.396 <0.001
3 47/244 (19.3 %) 102/688 (14.8 %) 204/756 (27.0 %) 32.665 <0.001
4 80/391 (20.5 %) 128/640 (20.0 %) 206/815 (25.3 %) 6.839 0.033
5 109/472 (23.1 %) 123/521 (23.6 %) 395/1,205 (32.8 %) 23.708 0<0.001
6 78/411 (19.0 %) 135/463 (29.2 %) 523/1,321 (39.6 %) 64.796 <0.001
  1. Data are shown as the positive number/total number (%). p-Values Pearson χ2 test.

Figure 1: 
The monthly distribution of MP from January 2021 to June 2023.
Figure 1:

The monthly distribution of MP from January 2021 to June 2023.

Monthly distribution

The monthly distribution of MP positivity rates for the first half of 2021–2023 is as follows: the MP positivity rate for 2021 reaches a small peak of 23.1 % in May, and the highest for 2022 is in June at 29.2 %. In January 2023, it started to increase significantly, reaching 36.7 % and increased to 34.2 % in February, 39.6 % in June (p<0.001). Although the highest positivity rate was in June 2023, the more significant increase in positivity rates occurred in January and February compared to the same period in the previous two years (Figure 2, Table 2).

Figure 2: 
Monthly and age distributions of MP from 2021 to 2023 (January–June).
Figure 2:

Monthly and age distributions of MP from 2021 to 2023 (January–June).

Age distribution

Based on a comparison of the same period of January–June of 2021–2023, the total number of MP-positive patients in 2021 is 465, compared with 652 in 2022 and 1,751 in 2023. The number of MP-positive patients increased by 40.2 % from 2021 to 2022 and by 168.6 % from 2022 to 2023. The highest positivity rate was mainly in children over 6 years old, with 29.8 % in 2021, 34.0 % in 2022, and 41.0 % in 2023. In 2023, the MP-positivity rate of children over 6 years old increased by 37.6 and 20 % compared with 2021 and 2022, respectively (p<0.001). Among them, the MP positivity rate of children under one year old was 13.6 %, which increased by 22.5 and 92.5 % compared with the same period in 2021 and 2022 (p<0.001). For children aged 1–3 years, the positivity rate was 32.9 %, an increase of 28.5 % compared to 2021 and 51.6 % compared to 2022 (p<0.001). In the 3–6 years group, the positivity rate was 36.1 %, an increase of 21.1 % compared to 2021 and 64.8 % compared to 2022 (p<0.001). It is evident that after the relaxation of epidemic measures, the positivity rate of MP increased significantly in all age groups, with the most significant increase observed in children under one year old (Figure 2, Table 3).

Table 3:

Age distribution of MP from 2021 (January–June) to 2023 (January–June).

Age 2021 (n=2,444) 2022 (n=3,468) 2023 (n=5,272) χ2 p-Value
0–28 days 0/128 (0.0 %) 2/183 (1.1 %) 0/3 (0 %) 4.451 0.108b
1–12 months 83/749 (11.1 %) 63/887 (7.1 %) 113/828 (13.6 %) 17.121 <0.00a
1–3 years 193/754 (25.6 %) 175/806 (21.7 %) 371/1,126 (32.9 %) 21.862 <0.001a
3–6 years 153/692 (22.1 %) 233/1,065 (21.9 %) 681/1884 (36.1 %) 132.129 <0.001a
>6 years 36/121 (29.8 %) 179/527 (34.0 %) 586/1,431 (41.0 %) 263.757 <0.001a
  1. Data are shown as the positive number/total number (%). a Pearson χ2 test. b Continuity correction χ2 test.

Discussion

In our study, we found that there was no significant epidemic peak in MP positive rates in 2021. This could be attributed to the strict non-pharmaceutical interventions implemented in China, which not only reduced the spread of COVID-19 but also changed the epidemic pattern of common respiratory viruses [11].

However, on December 7, 2022, the State Council of China issued a set of “New 10 Measures” for COVID-19 prevention and control, which included the cessation of nucleic acid testing and the discontinuation of checking for nucleic acid certificates in public places. Since then, people have no longer been required to wear masks in public places. Meanwhile, the positivity rate of MP increased in December 2022. From January 2023, the MP positivity rate increased significantly to 34.2 %, which was 133.8 and 136.8 % higher than the rates in the same period of 2021 and 2022, respectively (p<0.001). The increases were most pronounced and consistent with the changes in COVID-19 prevention and control measures issued by the government.

It found that MP infection occurs in a regional outbreak globally every 3–7 years, with each outbreak lasting for 1–2 years [12], [13], [14], [15]. According to data in Beijing, we observed that MP epidemic in Beijing peaked in 2016, followed by that in 2019 between 2015 and 2022, the last outbreak was in 2019 [16].An official report from Public Health England showed that the most recent epidemic peak was in winter 2019 to 2022 in England. Those studies may provide an explanation for our finding that MP positivity rates significantly increased in December 2022 compared to the same period in 2021. The interval between the last epidemic in 2019 and the current one was about 4 years, which is consistent in principle with the cyclical prevalence of MP.

More studies have shown no gender difference in MP infection [17], but our study found a higher detection rate in girls, which is consistent with some previous studies [18, 19], which suggested that it was possibly due to regional and environmental factors, hormonal differences, or contact behaviors in daily life.

As we know, MP can cause cough and bronchitis, and may progress to pneumonia and extrapulmonary manifestations in severe cases [20]. In our study, pneumonia was the most common type of disease in children with MP infection. It was 74.0 , 87.7, and 86.4 % in 2021, 2022, and 2023, respectively. This result was consistent with a previous study [21].

It was apparent that MP was a common cause of pneumonia. It has been reported that during the COVID epidemics, up to 20–40 % of pneumonia cases were caused by MP [3, 22, 23], which is similar to other studies [24, 25] and ours, showing that MPP accounted for 36.5 % of all pneumonia in the first half of 2023, significantly increased compared with the same period of 2021 (18.7 %) and 2022 (30.0 %) (p<0.001).These results indicated that the incidence of MPP in children with respiratory tract infection was high. Because the manifestations of MP infection in children varied in severity, and the imaging features were not specific, often ignored or misdiagnosed [26, 27], how to detect the pathogen quickly and effectively should be studied in the future.

The present study also found that the epidemics could be advanced or delayed by 1–2 months in different years. There was a small peak from April to May in 2021, while in 2022, the onset of the epidemic was delayed to July to September. In reality the positivity rate of MP in 2023 (January–June) was highest in June. It has been noted that MP has occurred in different climates conditions and different times of a year [28]. Japanese studies have suggested that temperature increases were positively correlated with infection rates of MP [29, 30], which was consistent with our research. Hangzhou experienced relatively high temperatures in the months of July to September, coincided with the summer vacation when children often spend time in air-conditioned shopping malls or amusement parks. Enclosed or semi-enclosed spaces may facilitate the spread of MP.

Children may be infected with MP at any age. We found that pathogen detection rates varied among children of different ages in the first half of 2021–2023 (p<0.001) except for infants aged 0–28 days. MP infection was most common in children aged 6–17 years. This is basically consistent with previous studies [7, 31, 32]. Children aged 6 years older are school-age children who spend more time in classrooms or collective settings than children under 6 years old. This also corroborated previous reports that MP spread more easily in close contact and closed environments [33]. In contrast, the infection rate in the infant group (<1 year) was the lowest, which was probably related to their simple living environment in this age group, as most are breastfed. One study has shown that breast milk contains a variety of immunomodulatory and antibacterial substances, which can reduce the risk of acute respiratory infection risk in children [34]. However, it was worth noting that in 2023, compared to the same period in 2022 and 2021, the positivity rate of MP in children under one year old increased by 92.5 %, the largest increase among age groups. We speculated that after the government-issued changes in COVID-19 prevention and control in China, the risk of adult respiratory tract infections in families increased and subsequently the infection rate among infants and young children also increased. Another possible explanation was that less protecting IgG antibodies via the placenta by reduced MP-infections of the mother allowed the increase in infections of the infants.

Conclusions

Our retrospective analysis showed that MP was a major causative agent of respiratory tract infection. The main disease type was pneumonia. It was found that the prevalence of MP infection was significantly higher in girls than in boys, and higher positivity rates were mainly observed in children aged 6 years older. The positivity rate of MP increased significantly after the adjustment of COVID-19 prevention and control in China, and the most significant increase was seen in the infant group (<1 year). Thus, we called for focus on the new epidemiological characteristics of MP infection after easing the restrictive measures. Effective prevention and control measures should be implemented to reduce the prevalence of MP infection among children aged 6 years older and the infant group (<1 year).

Limitation

This study was conducted at only one hospital, even though it was the largest children’s hospital in the region. More data from more hospitals in more varied regions are needed in future studies.


Corresponding author: Shanshan Wang, Department of Infectious Diseases, Zhejiang Xiaoshan Hospital, No. 728, Yucaibei Road, Hangzhou, P.R. China, E-mail:
Lin Chen and Shuangshuang Huang contributed equally to this work and share first authorship.
  1. Research ethics: The study was conducted in accordance with the Declaration of Helsinki. It was authorized by the Committee on Ethics at Children’s Hospital, Zhejiang University School of Medicine (2021-IRB-308).

  2. Informed consent: Informed consent was obtained from all individuals included in this study, or their legal guardians or wards.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission. SW: conceptualization. LC and FC collected and analyzed data. LC and SH: wrote the manuscript. HW and PZ: data analysis and interpretation. Each author has reviewed and authorized this version of the manuscript.

  4. Competing interests: The authors state no conflict of interest.

  5. Research funding: None declared.

  6. Data availability: The raw data can be obtained on request from the corresponding author.

References

1. Chi, H, Huang, YC, Liu, CC, Chang, KY, Huang, YC, Lin, HC, et al.. Characteristics and etiology of hospitalized pediatric community-acquired pneumonia in Taiwan. J Formos Med Assoc 2020;119:1490–9. https://doi.org/10.1016/j.jfma.2020.07.014.Search in Google Scholar PubMed PubMed Central

2. Huang, F, Gu, W, Diwu, J, Zhang, X, He, Y, Zhang, Y, et al.. Etiology and clinical features of infection-associated plastic bronchitis in children. BMC Infect Dis 2023;23:588. https://doi.org/10.1186/s12879-023-08529-w.Search in Google Scholar PubMed PubMed Central

3. Atkinson, TP, Waites, KB. Mycoplasma pneumoniae infections in childhood. Pediatr Infect Dis J 2014;33:92–4. https://doi.org/10.1097/inf.0000000000000171.Search in Google Scholar PubMed

4. Naghib, M, Hatam-Jahromi, M, Niktab, M, Ahmadi, R, Kariminik, A. Mycoplasma pneumoniae and toll-like receptors: a mutual avenue. Allergol Immunopathol 2018;46:508–13. https://doi.org/10.1016/j.aller.2017.09.021.Search in Google Scholar PubMed

5. Chen, Z, Ji, W, Wang, Y, Yan, Y, Zhu, H, Shao, X, et al.. Epidemiology and associations with climatic conditions of Mycoplasma pneumoniae and Chlamydophila pneumoniae infections among Chinese children hospitalized with acute respiratory infections. Ital J Pediatr 2013;39:34. https://doi.org/10.1186/1824-7288-39-34.Search in Google Scholar PubMed PubMed Central

6. Yun, KW. Community-acquired pneumonia in children: an updated perspectives on its etiology, diagnosis, and treatment. Clin Exp Pediatr 2024;67:80–9. https://doi.org/10.3345/cep.2022.01452.Search in Google Scholar PubMed PubMed Central

7. Defilippi, A, Silvestri, M, Tacchella, A, Giacchino, R, Melioli, G, Di Marco, E, et al.. Epidemiology and clinical features of Mycoplasma pneumoniae infection in children. Respir Med 2008;102:1762–8. https://doi.org/10.1016/j.rmed.2008.06.022.Search in Google Scholar PubMed

8. McCracken, GHJr. Clinical practice guidelines for the diagnosis and treatment of respiratory tract infections. Am J Manag Care 2001;7:S183–191.Search in Google Scholar

9. Cai, F, Shou, X, Ye, Q. Epidemiological study on Mycoplasma pneumoniae and Chlamydia pneumoniae infection of hospitalized children in a single center during the COVID-19 pandemic. Front Cell Infect Microbiol 2022;12:843463. https://doi.org/10.3389/fcimb.2022.843463.Search in Google Scholar PubMed PubMed Central

10. Chen, D, Zhang, Y, Shen, T, Ou, Z, Zhong, J, Ning, Y, et al.. Performance evaluation of the chemiluminescence immunoassay for mycoplasma pneumonia antibody detecting. Chin J Lab Med 2017;40:965–9.10.1142/S0192415X17500513Search in Google Scholar PubMed

11. Meng, GL, Kang, R, Cheng, XY, Wang, Q, Xie, Y. Laboratory analysis of positive rate of Mycoplasma pneumoniae antibody among 53,273 children with respiratory tract infections in Xi’an from 2017 to 2020. Transl Pediatr 2022;11:625–30. https://doi.org/10.21037/tp-22-127.Search in Google Scholar PubMed PubMed Central

12. Álvaro Varela, AI, Aguinaga Pérez, A, Navascués Ortega, A, Castilla Catalán, J, Ezpeleta Baquedano, C. Macrolide-resistant Mycoplasma pneumoniae: do we know the situation in Europe? Rev Española Quimioter 2023;36:259–66. https://doi.org/10.37201/req/118.2022.Search in Google Scholar PubMed PubMed Central

13. Eun, BW, Kim, N, Choi, EH, Lee, HJ. Mycoplasma pneumoniae in Korean children: the epidemiology of pneumonia over an 18-year period. J Infect 2008;56:326–31. https://doi.org/10.1016/j.jinf.2008.02.018.Search in Google Scholar PubMed

14. Nir-Paz, R, Abutbul, MAE, Block, C, Hidalgo-Grass, C. Ongoing epidemic of Mycoplasma pneumoniae infection in Jerusalem, Israel, 2010 to 2012. Euro Surveill 2012;17:20095. https://doi.org/10.2807/ese.17.08.20095-en.Search in Google Scholar

15. Yamazaki, T, Kenri, T. Epidemiology of Mycoplasma pneumoniae infections in Japan and therapeutic strategies for macrolide-resistant M. Pneumoniae. Front Microbiol 2016;7:693. https://doi.org/10.3389/fmicb.2016.00693.Search in Google Scholar PubMed PubMed Central

16. Wang, X, Li, M, Luo, M, Luo, Q, Kang, L, Xie, H, et al.. Mycoplasma pneumoniae triggers pneumonia epidemic in autumn and winter in Beijing: a multicentre, population-based epidemiological study between 2015 and 2020. Emerg Microb Infect 2022;11:1508–17. https://doi.org/10.1080/22221751.2022.2078228.Search in Google Scholar PubMed PubMed Central

17. Zhang, Y, Huang, Y, Ai, T, Luo, J, Liu, H. Effect of COVID-19 on childhood Mycoplasma pneumoniae infection in Chengdu, China. BMC Pediatr 2021;21:202. https://doi.org/10.1186/s12887-021-02679-z.Search in Google Scholar PubMed PubMed Central

18. Xu, YC, Zhu, LJ, Xu, D, Tao, XF, Li, SX, Tang, LF, et al.. Epidemiological characteristics and meteorological factors of childhood Mycoplasma pneumoniae pneumonia in Hangzhou. World J Pediatr 2011;7:240–4. https://doi.org/10.1007/s12519-011-0318-0.Search in Google Scholar PubMed

19. Cheng, Y, Cheng, Y, Dai, S, Hou, D, Ge, M, Zhang, Y, et al.. The prevalence of Mycoplasma pneumoniae among children in Beijing before and during the COVID-19 pandemic. Front Cell Infect Microbiol 2022;12:854505. https://doi.org/10.3389/fcimb.2022.854505.Search in Google Scholar PubMed PubMed Central

20. Song, Q, Xu, BP, Shen, KL. Effects of bacterial and viral co-infections of Mycoplasma pneumoniae pneumonia in children: analysis report from Beijing Children’s Hospital between 2010 and 2014. Int J Clin Exp Med 2015;8:15666–74.Search in Google Scholar

21. Del Valle-Mendoza, J, Orellana-Peralta, F, Marcelo-Rodríguez, A, Verne, E, Esquivel-Vizcarra, M, Silva-Caso, W, et al.. High prevalence of Mycoplasma pneumoniae and Chlamydia pneumoniae in children with acute respiratory infections from Lima, Peru. PLoS One 2017;12:e0170787. https://doi.org/10.1371/journal.pone.0170787.Search in Google Scholar PubMed PubMed Central

22. Loens, K, Goossens, H, Ieven, M. Acute respiratory infection due to Mycoplasma pneumoniae: current status of diagnostic methods. Eur J Clin Microbiol Infect Dis 2010;29:1055–69. https://doi.org/10.1007/s10096-010-0975-2.Search in Google Scholar PubMed PubMed Central

23. Jacobs, E, Ehrhardt, I, Dumke, R. New insights in the outbreak pattern of Mycoplasma pneumoniae. Int J Med Microbiol 2015;305:705–8. https://doi.org/10.1016/j.ijmm.2015.08.021.Search in Google Scholar PubMed

24. Zhou, Z, Li, X, Chen, X, Yao, L, Pan, C, Huang, H, et al.. Comparison of P1 and 16S rRNA genes for detection of Mycoplasma pneumoniae by nested PCR in adults in Zhejiang, China. J Infect Dev Ctries 2015;9:244–53. https://doi.org/10.3855/jidc.5149.Search in Google Scholar PubMed

25. Lu, CY, Yen, TY, Chang, LY, Liau, YJ, Liu, HH, Huang, LM. Multiple-locus variable-number tandem-repeat analysis (MLVA) of macrolide-susceptible and -resistant Mycoplasma pneumoniae in children in Taiwan. J Formos Med Assoc 2020;119:1539–45. https://doi.org/10.1016/j.jfma.2019.12.008.Search in Google Scholar PubMed

26. Taylor-Robinson, D. Infections due to species of Mycoplasma and Ureaplasma: an update. Clin Infect Dis 1996;23:671–82. https://doi.org/10.1093/clinids/23.4.671.Search in Google Scholar PubMed

27. Ferwerda, A, Moll, HA, de Groot, R. Respiratory tract infections by Mycoplasma pneumoniae in children: a review of diagnostic and therapeutic measures. Eur J Pediatr 2001;160:483–91. https://doi.org/10.1007/s004310100775.Search in Google Scholar PubMed

28. Liu, J, Ai, H, Xiong, Y, Li, F, Wen, Z, Liu, W, et al.. Prevalence and correlation of infectious agents in hospitalized children with acute respiratory tract infections in Central China. PLoS One 2015;10:e0119170. https://doi.org/10.1371/journal.pone.0119170.Search in Google Scholar PubMed PubMed Central

29. Onozuka, D, Chaves, LF. Climate variability and nonstationary dynamics of Mycoplasma pneumoniae pneumonia in Japan. PLoS One 2014;9:e95447. https://doi.org/10.1371/journal.pone.0095447.Search in Google Scholar PubMed PubMed Central

30. Onozuka, D, Hashizume, M, Hagihara, A. Impact of weather factors on Mycoplasma pneumoniae pneumonia. Thorax 2009;64:507–11. https://doi.org/10.1136/thx.2008.111237.Search in Google Scholar PubMed

31. Jain, S, Williams, DJ, Arnold, SR, Ampofo, K, Bramley, AM, Reed, C, et al.. Community-acquired pneumonia requiring hospitalization among U.S. children. N Engl J Med 2015;372:835–45. https://doi.org/10.1056/nejmoa1405870.Search in Google Scholar PubMed PubMed Central

32. Lee, KL, Lee, CM, Yang, TL, Yen, TY, Chang, LY, Chen, JM, et al.. Severe Mycoplasma pneumoniae pneumonia requiring intensive care in children, 2010-2019. J Formos Med Assoc 2021;120:281–91. https://doi.org/10.1016/j.jfma.2020.08.018.Search in Google Scholar PubMed

33. Steinberg, P, White, RJ, Fuld, SL, Gutekunst, RR, Chanock, RM, Senterfit, LB. Ecology of Mycoplasma pneumoniae infections in marine recruits at Parris Island, South Carolina. Am J Epidemiol 1969;89:62–73. https://doi.org/10.1093/oxfordjournals.aje.a120916.Search in Google Scholar PubMed

34. Islam, M, Islam, K, Dalal, K, Hossain Hawlader, MD. In-house environmental factors and childhood acute respiratory infections in under-five children: a hospital-based matched case-control study in Bangladesh. BMC Pediatr 2024;24:38. https://doi.org/10.1186/s12887-024-04525-4.Search in Google Scholar PubMed PubMed Central

Received: 2024-01-23
Accepted: 2024-03-18
Published Online: 2024-04-15

© 2024 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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