Back

SARS-CoV-2 Pandemic Non-Pharmacologic Interventions Temporally Associated with Reduced Pediatric Infections Due to Mycoplasma pneumoniae and Co-Infecting Respiratory Viruses in Arkansas

Boyanton, B. L.; Frenner, R. A.; Ingold, A.; Ambroggio, L.; Kennedy, J. L.

2023-08-09 infectious diseases
10.1101/2023.08.05.23293566
Show abstract

IntroductionNon-pharmacologic interventions (NPIs), such as universal masking, implemented during the SARS-CoV-2 pandemic have reduced respiratory infections among children. This study focuses on evaluating the impact of NPIs on Mycoplasma pneumoniae infections in children, analyzing data from two hospitals in Arkansas, and examining age-related differences and coinfections with other viruses. MethodsThe study was approved by the Institutional Review Board and included patients aged [&le;]18 years with upper respiratory tract symptoms. Data from the FilmArray(R) Respiratory Panel (FARP) were collected and divided into pre-NPI and NPI periods for analysis. Total test positivity rate and interval change in the positivity rate were evaluated. Statistical differences were determined by Chi-square ({chi}2-independence) analysis. ResultsA total of 68,949 tests were performed with a statistical increase in testing during the NPI period. The overall test positivity rate for M. pneumoniae decreased by 74% (0.86% to 0.03%) during the NPI period, and the preschool age group had the highest number of positive tests in the pre- and NPI periods (Pre-NPI: n=40, NPI: n=12 positive tests, p=<0.001). The reduction in M. pneumoniae infections was consistent across age groups. Coinfections with other respiratory viruses, particularly human rhinovirus/enterovirus, were observed at much lower levels. ConclusionsNPIs effectively reduced M. pneumoniae in pediatric patients in Arkansas, and coinfections with specific viruses still occurred, albeit at lower levels during the SARS-CoV-2 pandemic. As NPIs are relaxed and the pandemic ends, we expect M. pneumoniae infections to return to pre-pandemic levels within the next 1-2 years.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
PLOS ONE
based on 1737 papers
Top 22%
18.2%
2
Clinical Infectious Diseases
based on 219 papers
Top 2%
10.9%
3
Pediatric Infectious Disease Journal
based on 16 papers
Top 0.4%
4.8%
4
BMC Infectious Diseases
based on 110 papers
Top 2%
3.2%
5
Open Forum Infectious Diseases
based on 124 papers
Top 2%
3.0%
6
Journal of Medical Virology
based on 95 papers
Top 3%
3.0%
7
JAMA Network Open
based on 125 papers
Top 7%
2.6%
8
Scientific Reports
based on 701 papers
Top 58%
2.6%
9
International Journal of Infectious Diseases
based on 115 papers
Top 5%
2.6%
50% of probability mass above
10
Journal of Clinical Microbiology
based on 77 papers
Top 3%
2.5%
11
Emerging Infectious Diseases
based on 84 papers
Top 6%
1.9%
12
Annals of Translational Medicine
based on 14 papers
Top 2%
1.7%
13
Frontiers in Medicine
based on 99 papers
Top 12%
1.4%
14
The American Journal of Tropical Medicine and Hygiene
based on 50 papers
Top 6%
1.4%
15
BMJ Open
based on 553 papers
Top 43%
1.4%
16
PLOS Global Public Health
based on 287 papers
Top 16%
1.4%
17
The Journal of Infectious Diseases
based on 137 papers
Top 8%
1.3%
18
Cureus
based on 64 papers
Top 13%
1.3%
19
Influenza and Other Respiratory Viruses
based on 36 papers
Top 0.9%
1.3%
20
Journal of Clinical Virology Plus
based on 10 papers
Top 0.1%
0.9%
21
Frontiers in Public Health
based on 135 papers
Top 23%
0.9%
22
European Journal of Clinical Microbiology & Infectious Diseases
based on 14 papers
Top 0.9%
0.9%
23
Journal of Clinical Virology
based on 54 papers
Top 4%
0.7%
24
Annals of Epidemiology
based on 19 papers
Top 2%
0.7%