ArticlePloS one2019
Seasonality of influenza and its association with meteorological parameters in two cities of Pakistan: A time series analysis.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Sentinel surveillance for influenza A viruses in Lahore District Pakistan in flu season 2015-2016.BMC infectious diseases · 2022Article
- Exploration of influenza incidence prediction model based on meteorological factors in Lanzhou, China, 2014-2017.PloS one · 2022Article
- Extreme Precipitation Events and Infectious Disease Risk: A Scoping Review and Framework for Infectious Respiratory Viruses.International journal of environmental research and public health · 2021Article
- COVID-19 and influenza H1N1: A dangerous combination for Pakistan in the upcoming winter season.Journal of medical virology · 2021Article
- Use of meteorological parameters for forecasting scarlet fever morbidity in Tianjin, Northern China.Environmental science and pollution research international · 2021Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundInfluenza is known to have a specific pattern of seasonality the reasons for which are yet to be fully ascertained. Temperate zones show influenza epidemic during the winter months. The tropical and subtropical regions show more diverse influenza outbreak patterns. This study explores the seasonality of influenza activity and predicts influenza peak based on historical surveillance time series data in Islamabad and Multan, Pakistan.
methodsThis is a descriptive study of routinely collected monthly influenza sentinel surveillance data and meteorological data from 2012-16 in two sentinel sites of Pakistan: Islamabad (North) and Multan (Central).
resultsMean number of cases of influenza and levels of precipitation were higher in Islamabad compared to Multan. Mean temperature and humidity levels were similar in both the cities. The number of influenza cases rose with decrease in precipitation and temperature in Islamabad during 2012-16, although the same cannot be said about humidity. The relationship between meteorological parameters and influenza incidence was not pronounced in case of Multan. The forecasted values in both the cities showed a significant peak during the month of January.
conclusionThe influenza surveillance system gave a better understanding of the disease trend and could accurately forecast influenza activity in Pakistan.
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