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Pathogen spectrum changes of respiratory tract infections in children in Chaoshan area under the influence of COVID-19

Published online by Cambridge University Press:  30 July 2021

Chuang-Xing Lin
Affiliation:
Department of Pediatrics, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
Hao-bin Lian
Affiliation:
Department of Pediatrics, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
Guang-Yu Lin
Affiliation:
Department of Pediatrics, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
Dan-gui Zhang
Affiliation:
Translational Medicine Research Center, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
Xiao-Ying Cai
Affiliation:
Department of Pediatrics, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
Zhi-Wei Cai
Affiliation:
Department of Pediatrics, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
Fei-qiu Wen*
Affiliation:
Shenzhen Children's Hospital, Shenzhen, Guangdong, China
*
Author for correspondence: Fei-qiu Wen, E-mail: 272816142@qq.com
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Abstract

From 24 January 2020 to 18 May 2020, Chaoshan took measures to limit the spread of coronavirus disease 2019 (COVID-19), such as restricting public gatherings, wearing masks and suspending classes. We explored the effects of these measures on the pathogen spectrum of paediatric respiratory tract infections in Chaoshan. Pharyngeal swab samples were collected from 4075 children hospitalised for respiratory tract infection before (May–December 2019) and after (January–August 2020) the COVID-19 outbreak. We used liquid chip technology to analyse 14 respiratory pathogens. The data were used to explore between-group differences, age-related differences and seasonal variations in respiratory pathogens. The number of cases in the outbreak group (1222) was 42.8% of that in the pre-outbreak group (2853). Virus-detection rates were similar in the outbreak (48.3%, 590/1222) and pre-outbreak groups (51.5%, 1468/2853; χ2 = 3.446, P = 0.065), while the bacteria-detection rate was significantly lower in the outbreak group (26.2%, 320/1222) than in the pre-outbreak group (44.1%, 1258/2853; χ2 = 115.621, P < 0.05). With increasing age, the proportions of respiratory syncytial virus (RSV) and cytomegalovirus (CMV) infections decreased, while those of Mycoplasma pneumoniae and adenovirus infections increased. Streptococcus pneumoniae, CMV and rhinovirus infections peaked in autumn and winter, while RSV infections peaked in summer and winter. We found that the proportion of virus-only detection decreased with age, while the proportion of bacteria-only detection increased with age (Table 2). Anti-COVID-19 measures significantly reduced the number of paediatric hospitalisations for respiratory tract infections, significantly altered the pathogen spectrum of such infections and decreased the overall detection rates of 14 common respiratory pathogens. The proportion of bacterial, but not viral, infections decreased.

Information

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press
Figure 0

Table 1. Comparison of infectious pathogens between the outbreak and pre-outbreak groups

Figure 1

Fig. 1. Distribution of pathogens detected in the outbreak and pre-outbreak groups.

Figure 2

Fig. 2. Pathogen detection results among children with respiratory tract infections stratified by age.

Figure 3

Table 2. Pathogen detection results among children with respiratory tract infections stratified by age

Figure 4

Fig. 3. Distribution of detected pathogens among different age groups.

Figure 5

Table 3. Distribution of detected pathogens among different age groups

Figure 6

Fig. 4. Seasonal variations in the detection of respiratory pathogens.