Literature DB >> 19538819

Relationship of cholera incidence to El Niño and solar activity elucidated by time-series analysis.

K Ohtomo1, N Kobayashi, A Sumi, N Ohtomo.   

Abstract

Using time-series analysis, we investigated the monthly cholera incidence in Dhaka, Bangladesh during an 18-year period for its relationship to the sea surface temperature (SST) linked to El Niño, and to the sunspot number. Dominant periodic modes identified for cholera incidence were 11.0, 4.8, 3.5, 2.9, 1.6, 1.0 and 0.5 years. The majority of these modes, e.g. the 11.0-, 4.8-, 3.5-, 1.6- and 1.0-year modes, were essentially consistent with those obtained for the SST data (dominant modes: 5.1, 3.7, 2.5, 2.1, 1.5, 1.0 years) and the sunspot number data (dominant modes: 22.1, 11.1, 7.3, 4.8, 3.1 years). We confirmed that the variations of cholera incidence were synchronous with SSTs, and were inversely correlated to the sunspot numbers. These results suggest that the cholera incidence in Bangladesh may have been influenced by the occurrence of El Niño and also by the periodic change of solar activity.

Mesh:

Year:  2009        PMID: 19538819     DOI: 10.1017/S0950268809990203

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  12 in total

1.  MEM spectral analysis for predicting influenza epidemics in Japan.

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2.  Influence of climate factors on Vibrio cholerae dynamics in the Pearl River estuary, South China.

Authors:  Yujuan Yue; Jianhua Gong; Duochun Wang; Biao Kan; Baisheng Li; Changwen Ke
Journal:  World J Microbiol Biotechnol       Date:  2014-01-19       Impact factor: 3.312

3.  Influences of heatwave, rainfall, and tree cover on cholera in Bangladesh.

Authors:  Jianyong Wu; Mohammad Yunus; Mohammad Ali; Veronica Escamilla; Michael Emch
Journal:  Environ Int       Date:  2018-08-11       Impact factor: 9.621

4.  Dynamics of cholera outbreaks in Great Lakes region of Africa, 1978-2008.

Authors:  Didier Bompangue Nkoko; Patrick Giraudoux; Pierre-Denis Plisnier; Annie Mutombo Tinda; Martine Piarroux; Bertrand Sudre; Stephanie Horion; Jean-Jacques Muyembe Tamfum; Benoît Kebela Ilunga; Renaud Piarroux
Journal:  Emerg Infect Dis       Date:  2011-11       Impact factor: 6.883

5.  Time-series analysis of hepatitis A, B, C and E infections in a large Chinese city: application to prediction analysis.

Authors:  A Sumi; T Luo; D Zhou; B Yu; D Kong; N Kobayashi
Journal:  Epidemiol Infect       Date:  2012-07-20       Impact factor: 4.434

6.  Cyclic patterns of cerebral malaria admissions in Papua New Guinea for the years 1987-1996.

Authors:  B D Dimitrov; D Valev; R Werner; P A Atanassova
Journal:  Epidemiol Infect       Date:  2013-01-23       Impact factor: 4.434

7.  Time series analysis of incidence data of influenza in Japan.

Authors:  Ayako Sumi; Ken-ichi Kamo; Norio Ohtomo; Keiji Mise; Nobumichi Kobayashi
Journal:  J Epidemiol       Date:  2010-11-13       Impact factor: 3.211

Review 8.  The effectiveness of public health interventions to reduce the health impact of climate change: a systematic review of systematic reviews.

Authors:  Maha Bouzid; Lee Hooper; Paul R Hunter
Journal:  PLoS One       Date:  2013-04-25       Impact factor: 3.240

9.  Effect of temperature, relative humidity and rainfall on rotavirus infections in Kolkata, India.

Authors:  A Sumi; K Rajendran; T Ramamurthy; T Krishnan; G B Nair; K Harigane; N Kobayashi
Journal:  Epidemiol Infect       Date:  2012-10-08       Impact factor: 4.434

10.  Time series analysis of reported cases of hand, foot, and mouth disease from 2010 to 2013 in Wuhan, China.

Authors:  Banghua Chen; Ayako Sumi; Shin'ichi Toyoda; Quan Hu; Dunjin Zhou; Keiji Mise; Junchan Zhao; Nobumichi Kobayashi
Journal:  BMC Infect Dis       Date:  2015-11-03       Impact factor: 3.090

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