Literature DB >> 25795541

Analyzing seasonality of tuberculosis across Indian states and union territories.

Pankaj Narula1, Praveer Sihota1, Sarita Azad2, Pietro Lio3.   

Abstract

A significant seasonal variation in tuberculosis (TB) is observed in north India during 2006-2011, particularly in states like Himachal Pradesh, Haryana and Rajasthan. To quantify the seasonal variation, we measure average amplitude (peak to trough distance) across seasons in smear positive cases of TB and observe that it is maximum for Himachal Pradesh (40.01%) and minimum for Maharashtra (3.87%). In north India, smear positive cases peak in second quarter (April-June) and reach a trough in fourth quarter (October-December), however low seasonal variation is observed in southern region of the country. The significant correlations as 0.64 (p-value<0.001), 0.54 (p-value<0.01) and 0.42 (p-value<0.05) are observed between minimum temperature and seasonality of TB at lag-1 in north, central and northeast India respectively. However, in south India, this correlation is not significant.
Copyright © 2015 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Poisson regression; Seasonality; Smear positive cases; Temperature; Tuberculosis

Mesh:

Year:  2015        PMID: 25795541     DOI: 10.1016/j.jegh.2015.02.004

Source DB:  PubMed          Journal:  J Epidemiol Glob Health        ISSN: 2210-6006


  14 in total

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2.  Spatiotemporal analysis of tuberculosis incidence and its associated factors in mainland China.

Authors:  C Guo; Y Du; S Q Shen; X Q Lao; J Qian; C Q Ou
Journal:  Epidemiol Infect       Date:  2017-06-09       Impact factor: 4.434

3.  Spatial-Temporal Epidemiology of Tuberculosis in Mainland China: An Analysis Based on Bayesian Theory.

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4.  Seasonality and Trend Forecasting of Tuberculosis Prevalence Data in Eastern Cape, South Africa, Using a Hybrid Model.

Authors:  Adeboye Azeez; Davies Obaromi; Akinwumi Odeyemi; James Ndege; Ruffin Muntabayi
Journal:  Int J Environ Res Public Health       Date:  2016-07-26       Impact factor: 3.390

5.  Times series analysis of age-specific tuberculosis at a rapid developing region in China, 2011-2016.

Authors:  Minmin Zhu; Guiyuan Han; Howard Eugene Takiff; Jian Wang; Jianping Ma; Min Zhang; Shengyuan Liu
Journal:  Sci Rep       Date:  2018-06-07       Impact factor: 4.379

6.  Seasonal patterns of tuberculosis case notification in the tropics of Africa: A six-year trend analysis in Ethiopia.

Authors:  Z Gashu; D Jerene; D G Datiko; N Hiruy; S Negash; K Melkieneh; D Bekele; G Nigussie; P G Suarez; A Hadgu
Journal:  PLoS One       Date:  2018-11-26       Impact factor: 3.240

7.  Seasonality of childhood tuberculosis cases in Kampala, Uganda, 2010-2015.

Authors:  Devan Jaganath; Eric Wobudeya; Moorine Penninah Sekadde; Betty Nsangi; Heather Haq; Adithya Cattamanchi
Journal:  PLoS One       Date:  2019-04-09       Impact factor: 3.240

8.  Geographic Variation and Associated Covariates of Diabetes Prevalence in India.

Authors:  Andrés M Hernandez; Peng Jia; Hae-Young Kim; Diego F Cuadros
Journal:  JAMA Netw Open       Date:  2020-05-01

9.  Spatial transmission and meteorological determinants of tuberculosis incidence in Qinghai Province, China: a spatial clustering panel analysis.

Authors:  Hua-Xiang Rao; Xi Zhang; Lei Zhao; Juan Yu; Wen Ren; Xue-Lei Zhang; Yong-Cheng Ma; Yan Shi; Bin-Zhong Ma; Xiang Wang; Zhen Wei; Hua-Fang Wang; Li-Xia Qiu
Journal:  Infect Dis Poverty       Date:  2016-06-02       Impact factor: 4.520

10.  Analysis and predication of tuberculosis registration rates in Henan Province, China: an exponential smoothing model study.

Authors:  Yan-Qiu Zhang; Xin-Xu Li; Wei-Bin Li; Jian-Guo Jiang; Guo-Long Zhang; Yan Zhuang; Ji-Ying Xu; Jie Shi; Ding-Yong Sun
Journal:  Infect Dis Poverty       Date:  2020-08-31       Impact factor: 4.520

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