Literature DB >> 17050218

Seasonality of primarily childhood and young adult infectious diseases in the United States.

Ami P Shah1, Michael H Smolensky, Keith D Burau, Irina M Cech, Dejian Lai.   

Abstract

The Center for Disease Control (CDC) in the United States collects and maintains records of communicable (so-called notifiable) infectious diseases that cause significant morbidity and mortality and impact the national economy. This investigation focused on seasonal patterns in the primarily childhood and young adult infectious diseases of meningococcal meningitis, mumps, pertussis, typhoid fever, streptococcal toxic shock syndrome (1990 to 2003 CDC database), and varicella (1993 to 2003 CDC database). Linear regression was performed to ascertain the trend in the incidence of each disease, and multi-component cosinor analysis was applied to determine and describe periodicities. Significant decreasing trends in incidence were detected in meningococcal meningitis, mumps, typhoid fever, and streptococcal toxic shock syndrome, and increasing trends were found in pertussis and varicella. Significant annual patterns were documented in meningococcal meningitis (January peak), mumps (April peak), pertussis (August peak), varicella (April peak), typhoid fever (August peak), and in the hospital-acquired streptococcal toxic shock syndrome (February peak). Such seasonal patterns and long-term trends in infectious diseases are of practical public health significance in indicating which can benefit from timely prevention interventions.

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Year:  2006        PMID: 17050218     DOI: 10.1080/07420520600920718

Source DB:  PubMed          Journal:  Chronobiol Int        ISSN: 0742-0528            Impact factor:   2.877


  12 in total

1.  Time trends and seasonal patterns of health-related quality of life among U.S. adults.

Authors:  Haomiao Jia; Erica I Lubetkin
Journal:  Public Health Rep       Date:  2009 Sep-Oct       Impact factor: 2.792

2.  The association between the incidence of mumps and meteorological parameters in Taiwan.

Authors:  Yi-Chien Ho; Bo-Hua Su; Huey-Jen Su; Hsiao-Ling Chang; Chuan-Yao Lin; Huifen Chen; Kow-Tong Chen
Journal:  Hum Vaccin Immunother       Date:  2015       Impact factor: 3.452

3.  The relationship between meteorological factors and mumps incidence in Guangzhou, China, 2005-2012:.

Authors:  Qiongying Yang; Zhicong Yang; Haiyuan Ding; Xiao Zhang; Zhiqiang Dong; Wensui Hu; Xiangyi Liu; Ming Wang; Guifang Hu; Chuanxi Fu
Journal:  Hum Vaccin Immunother       Date:  2014       Impact factor: 3.452

4.  Invasive pneumococcal and meningococcal disease: association with influenza virus and respiratory syncytial virus activity?

Authors:  A G S C Jansen; E A M Sanders; A VAN DER Ende; A M VAN Loon; A W Hoes; E Hak
Journal:  Epidemiol Infect       Date:  2008-01-23       Impact factor: 2.451

5.  Comparing Seasonal Pattern of Laboratory Confirmed Cases of Pertussis with Clinically Suspected Cases.

Authors:  Golam Reza Ghorbani; Seyed Mohsen Zahraei; Mahmood Moosazadeh; Mahdi Afshari; Fahimeh Doosti
Journal:  Osong Public Health Res Perspect       Date:  2016-02-23

6.  Meteorological factors and the incidence of mumps in Fujian Province, China, 2005-2013: Non-linear effects.

Authors:  Wenqi Hu; Yuying Li; Weixiao Han; Li Xue; Wenchao Zhang; Wei Ma; Peng Bi
Journal:  Sci Total Environ       Date:  2017-11-22       Impact factor: 7.963

7.  Temporal analysis of the incidence of meningitis in the Tehran metropolitan area, 1999-2005.

Authors:  Alireza Mosavi-Jarrahi; Abdolreza Esteghamati; Freshteh Asgari; Mohammadali Heidarnia; Yasamin Mousavi-Jarrahi; Mohammadmehdi Goya
Journal:  Popul Health Metr       Date:  2009-12-23

8.  Diagnostic value of symptoms and laboratory data for pertussis in adolescent and adult patients.

Authors:  Naoyuki Miyashita; Hiroto Akaike; Hideto Teranishi; Yasuhiro Kawai; Kazunobu Ouchi; Tadashi Kato; Toshikiyo Hayashi; Niro Okimoto
Journal:  BMC Infect Dis       Date:  2013-03-11       Impact factor: 3.090

9.  Environmental exposures and invasive meningococcal disease: an evaluation of effects on varying time scales.

Authors:  Laura M Kinlin; C Victor Spain; Victoria Ng; Caroline C Johnson; Alexander N J White; David N Fisman
Journal:  Am J Epidemiol       Date:  2009-01-22       Impact factor: 4.897

Review 10.  Seasonality of Acute Retinal Necrosis.

Authors:  Alireza Hedayatfar; Maryam Ashraf Khorasani; Mehdi Behnia; Ahad Sedaghat
Journal:  J Ophthalmic Vis Res       Date:  2020-02-02
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