The association between the seasonality of pediatric pandemic influenza virus outbreak and ambient meteorological factors in Shanghai.
Ambient meteorology
Influenza virus
Pediatric pandemic influenza
Seasonality
Journal
Environmental health : a global access science source
ISSN: 1476-069X
Titre abrégé: Environ Health
Pays: England
ID NLM: 101147645
Informations de publication
Date de publication:
17 06 2020
17 06 2020
Historique:
received:
21
01
2020
accepted:
09
06
2020
entrez:
20
6
2020
pubmed:
20
6
2020
medline:
21
10
2020
Statut:
epublish
Résumé
The number of pediatric patients diagnosed with influenza types A and B is increasing annually, especially in temperate regions such as Shanghai (China). The onset of pandemic influenza viruses might be attributed to various ambient meteorological factors including temperature, relative humidity (Rh), and PM We recruited pediatric patients aged from 0 to 18 years who were diagnosed with influenza A or B from July 1st, 2017 to June 30th, 2019 in Shanghai Children's Medical Centre (SCMC). Ambient meteorological data were collected from the Shanghai Meteorological Service (SMS) over the same period. The correlation of influenza outbreak and meteorological factors were analyzed through preliminary Pearson's r correlation test and subsequent time-series Poisson regression analysis using the distributed lag non-linear model (DLNM). Pearson's r test showed a statistically significant correlation between the weekly number of influenza A outpatients and ambient meteorological factors including weekly mean, maximum, minimum temperature and barometric pressure (P < 0.001), and PM This study indicated that mean temperature and PM
Sections du résumé
BACKGROUND AND OBJECTIVES
The number of pediatric patients diagnosed with influenza types A and B is increasing annually, especially in temperate regions such as Shanghai (China). The onset of pandemic influenza viruses might be attributed to various ambient meteorological factors including temperature, relative humidity (Rh), and PM
METHODS
We recruited pediatric patients aged from 0 to 18 years who were diagnosed with influenza A or B from July 1st, 2017 to June 30th, 2019 in Shanghai Children's Medical Centre (SCMC). Ambient meteorological data were collected from the Shanghai Meteorological Service (SMS) over the same period. The correlation of influenza outbreak and meteorological factors were analyzed through preliminary Pearson's r correlation test and subsequent time-series Poisson regression analysis using the distributed lag non-linear model (DLNM).
RESULTS
Pearson's r test showed a statistically significant correlation between the weekly number of influenza A outpatients and ambient meteorological factors including weekly mean, maximum, minimum temperature and barometric pressure (P < 0.001), and PM
CONCLUSION
This study indicated that mean temperature and PM
Identifiants
pubmed: 32552876
doi: 10.1186/s12940-020-00625-7
pii: 10.1186/s12940-020-00625-7
pmc: PMC7298927
doi:
Substances chimiques
Particulate Matter
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
71Subventions
Organisme : Science and Technology Commission of Shanghai Municipality
ID : 16411960700
Pays : International
Organisme : School of Medicine, Shanghai Jiao Tong University
ID : YG2017QN32
Pays : International
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