Back to Search Start Over

Sociodemographic, climatic variability and lower respiratory tract infections: a systematic literature review

Authors :
Hossain, Mohammad Zahid
Bambrick, Hilary
Wraith, Darren
Tong, Shilu
Khan, Al Fazal
Hore, Samar Kumar
Hu, Wenbiao
Hossain, Mohammad Zahid
Bambrick, Hilary
Wraith, Darren
Tong, Shilu
Khan, Al Fazal
Hore, Samar Kumar
Hu, Wenbiao
Source :
International Journal of Biometeorology
Publication Year :
2019

Abstract

Pneumonia is the leading cause of mortality and morbidity in developing countries, particularly for children and elderly. The main objective of this review paper is to review the epidemiological evidence about the effects of sociodemographic and climatic variability on pneumonia and other lower respiratory tract infections. A detailed literature search was conducted in PubMed and Scopus following PRISMA guidelines. The articles, which considered the effect of only climatic or both climatic and sociodemographic factors on pneumonia and other lower respiratory tract infections, included in this review. A total thirty-four relevant articles were reviewed. Of 34 studies, only 14 articles (41%) examined the joint effects of sociodemographic and climate factors on pneumonia and other lower respiratory infections while most of them (59%) assessed climate factors separately. Among these fourteen, only three articles (8.8%) considered detailed sociodemographic factors. All of the reviewed articles suggested different degrees of positive or negative relationship of temperature with pneumonia or other lower respiratory tract infections. Fifteen (44%) articles suggested an association with relative humidity and 13 (38%) with rainfall. Only 3 articles (8.8%) found a relationship with wind speed. Three articles (8.8%) considered other risk factors such as particulate matter 2.5 (PM2.5) and particulate matter 10 (PM10). One study among the reviewed articles used spatial analysis methods but this study did not examine the joint effects. Among the reviewed articles, 18 (53%) articles used different time series models, one article (3%) used spatiotemporal time series model, 8 (23%) studies used other models and rest 7 (21%) studies used simple descriptive analysis. A total of 18 studies (53%) were conducted in Asia, most of them in China. There were 6 studies (17%) in Europe and 8 studies (23%) in America (South, North and Central). In Africa and Oceania, only one study was found for

Details

Database :
OAIster
Journal :
International Journal of Biometeorology
Publication Type :
Electronic Resource
Accession number :
edsoai.on1089457367
Document Type :
Electronic Resource