Meteorological factors on the incidence of MP and RSV pneumonia in children

Tian, Dandan; Jiang, Rong; Chen, Xuejun; Ye, Qing

doi:10.1371/journal.pone.0173409

Cited by 39 publications

(34 citation statements)

References 16 publications

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“…In temperate climates, RSV detection rates were positively associated with relative humidity . However, some studies undertaken in tropical and subtropical areas have found a positive association with relative humidity, while others have found a negative association . Based on the LASSO model, we found that the RSV detection rate was higher when average relative humidity was low.…”

Section: Discussionmentioning

confidence: 47%

“…Zhang et al showed an inverse association between monthly RSV detection rates and mean monthly temperature in the Suzhou region of China. In contrast to subtropical regions, in tropical regions such as the Philippines, the association between RSV activity and temperature has been reported to be particularly variable, and some studies have found a negative association . One study found that there were two peaks concerning RSV infection rates each year, at temperatures of 24°C to 30°C and 2°C to 6°C, thus displaying both positive and negative associations between temperature and RSV incidence …”

Section: Discussionmentioning

confidence: 99%

“…In tropical regions, RSV infections occur mainly during the rainy season . This may be because people tend to spend more time indoors during rainy weather . Although the incidence of RSV is influenced according to rainfall and humidity, the relationships between these factors vary in regions with different climates.…”

Section: Discussionmentioning

confidence: 99%

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Meteorological factors affecting respiratory syncytial virus infection: A time‐series analysis

Zhang

Wen

Zheng

et al. 2020

Pediatric Pulmonology

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Introduction Respiratory syncytial virus (RSV) infection is a major cause of hospitalization in children. Meteorological factors are known to influence seasonal RSV epidemics, but the relationship between meteorological factors and RSV infection in children is not well understood. We aimed to explore the relationship between meteorological factors and RSV infections among hospitalized children, using different statistical models. Methods We conducted a retrospective review concerning children with RSV infections admitted to a tertiary pediatric hospital in Wenzhou, China, between January 2008 and December 2017. The relationship between meteorological factors (average daily temperatures, average daily relative humidity, rainfall, rainfall days, and wind speed) and the incidence of RSV in hospitalized children was analyzed using three time‐series models, namely an autoregressive integrated moving average (ARIMA) model, a generalized additive model (GAM), and a least absolute shrinkage and selection operator (LASSO)‐based model. Results In total, 15 858 (17.6%) children tested positive for RSV infection. The ARIMA model revealed a marked seasonal pattern in the RSV detection rate, which peaked in winter and spring. The model was a good predictor of RSV incidence (R2: 83.5%). The GAM revealed that a lower temperature and higher wind speed preceded increases in RSV detection. The LASSO‐based model revealed that temperature and relative humidity were negatively correlated with RSV detection. Conclusions Seasonality of RSV infection in hospitalized children correlated strongly with temperature. The LASSO‐based model can be used to predict annual RSV epidemics using weather forecast data.

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Section: Discussionmentioning

confidence: 47%

Section: Discussionmentioning

confidence: 99%

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Meteorological factors affecting respiratory syncytial virus infection: A time‐series analysis

Zhang

Wen

Zheng

et al. 2020

Pediatric Pulmonology

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“…28 In China, a frequency of 80% was reported in children under 7 years. 29 While a study conducted in the United States reported that 73.3% of the pediatric patients with communityacquired pneumonia due to MP were over 5 years. 30 Children of age with 1 year younger may be not easy susceptible to infection with MP, as infants not favors overcrowding and decreases the risk of infection.…”

Section: Discussionmentioning

confidence: 99%

Viral and bacterial coinfection among hospitalized children with respiratory tract infections

Liu

Zhao

Xiao³

et al. 2020

American Journal of Infection Control

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Background: The epidemiology of Mycoplasma pneumoniae (MP) and local dominant etiologies of pathogens that cause respiratory tract infections (RTIs) among central China children (≤14 years old) hospitalized are poorly understood. Methods: A total of 10,429 specimens were analyzed, and IgM antibodies against 9 respiratory pathogens including MP were detected using indirect immunofluorescence assay from serum. Results: It showed that 59.3% of the enrolled children were positive for at least 1 pathogen; highest detection rates included those between 3 and <6 years of age (70.4%), female (63.2%), and who were hospitalized in 2014 (80.9%). The most predominant pathogen was MP (45.6%), followed by Parainfluenza viruses (PIVs) (22.6%) and influenza B viruses (IFVB) (14.7%). Coinfection was observed in 2,907 specimens (27.9%); the coinfection combination containing MP and PIVs had the highest detection rate of 15%, followed by MP and IFVB as well as IFVB and PIVs. Conclusions: MP was the most commonly detected bacteria among hospitalized children, which should be included in the differential diagnosis for hospitalized children with RTI. These findings will contribute to the effective prevention and therapeutic approaches of pathogens among local children suffering from RTI.

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“…Previous studies have found that, in tropical, subtropical and temperate regions, RSV infections are related to meteorological factors such as temperature, RH, atmospheric pressure and rainfall Darniot et al,2018;Gurgel et al, 2016;Tian et al,2017;Sirimi et al,2016;Liu et al,2016;Chen et al,2014;du Prel et al,2009). The increase of RSV cases is negatively correlated with RH (Gurgel et al, 2016;Tian et al, 2017;Liu et al, 2016). Similarly, due to the high incidence rate of influenza virus, it brings heavy medical burden and has been fully studied.…”

Section: Relationship Between Covid-19 Epidemic and Climate Charactermentioning

confidence: 99%

Meteorological factors correlate with transmission of 2019-nCoV: Proof of incidence of novel coronavirus pneumonia in Hubei Province, China

Zhang

et al. 2020

Preprint

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Objective: many potential factors contribute to the outbreak of COVID-19. The aim of this study was to explore the effects of various meteorological factors on the incidence of COVID-19. Methods:Taking Hubei province of China as an example, where COVID-19 was first reported and there were the most cases, we collected 53 days of cases up to March 10(total 67773 confirmed cases).COVID-19 confirmed cases were retrieved from the official website of Hubei Health Commission. Ten meteorological parameters were provided by China meteorological administration, including average pressure (hPa), average temperature ( ), maximum temperature, minimum temperature ( ), average water vapor pressure (hPa), average relative humidity (%),etc.Cross correlation analysis and linear regression were used to judge the relationship of . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) : medRxiv preprint meteorological factors and increment of COVID-19 confirmed cases. Results:Under 95% CI, the increment of confirmed cases in Hubei were significantly correlated with four meteorological parameters of average pressure, average temperature, minimum temperature and average water vapor pressure (equivalent to absolute humidity).The average pressure was positively correlated with the increment ( r=+0.358,p=0.010).The negative correlations included average temperature (r=-0.306,p=0.029), minimum air temperature (r=-0.347,p=0.013), average water vapor pressure (r=-0.326,p=0.020). The linear regression results show if minimum temperature increases by 1 , the incremental confirmed cases in Hubei decreases by 72.470 units on average. Conclusion:The incidence of COVID-19 was significantly correlated with average pressure, average temperature, minimum temperature and average water vapor pressure. It is positively correlated with the average pressure and negatively correlated with the other three parameters. Compared with relative humidity, 2019-nCov is more sensitive to water vapor pressure. The reason why the epidemic situation in Hubei expanded rapidly is significantly related to the climate characteristics of low temperature and dryness of Hubei in winter.

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Meteorological factors on the incidence of MP and RSV pneumonia in children

Cited by 39 publications

References 16 publications

Meteorological factors affecting respiratory syncytial virus infection: A time‐series analysis

Meteorological factors affecting respiratory syncytial virus infection: A time‐series analysis

Viral and bacterial coinfection among hospitalized children with respiratory tract infections

Meteorological factors correlate with transmission of 2019-nCoV: Proof of incidence of novel coronavirus pneumonia in Hubei Province, China

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