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  • Sahoo, Krushna ChandraDepartment of Public Health Sciences (Global health/IHCAR), Karolinska Institutet, Stockholm, Sweden (author)

Climatic Factors and Community - Associated Methicillin-Resistant Staphylococcus aureus Skin and Soft-Tissue Infections : A Time-Series Analysis Study

  • Article/chapterEnglish2014

Publisher, publication year, extent ...

  • 2014-08-29
  • MDPI AG,2014
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:uu-232816
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-232816URI
  • https://doi.org/10.3390/ijerph110908996DOI
  • http://kipublications.ki.se/Default.aspx?queryparsed=id:129800081URI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Skin and soft tissue infections caused by Staphylococcus aureus (SA-SSTIs) including methicillin-resistant Staphylococcus aureus (MRSA) have experienced a significant surge all over the world. Changing climatic factors are affecting the global burden of dermatological infections and there is a lack of information on the association between climatic factors and MRSA infections. Therefore, association of temperature and relative humidity (RH) with occurrence of SA-SSTIs (n = 387) and also MRSA (n = 251) was monitored for 18 months in the outpatient clinic at a tertiary care hospital located in Bhubaneswar, Odisha, India. The Kirby-Bauer disk diffusion method was used for antibiotic susceptibility testing. Time-series analysis was used to investigate the potential association of climatic factors (weekly averages of maximum temperature, minimum temperature and RH) with weekly incidence of SA-SSTIs and MRSA infections. The analysis showed that a combination of weekly average maximum temperature above 33 °C coinciding with weekly average RH ranging between 55% and 78%, is most favorable for the occurrence of SA-SSTIs and MRSA and within these parameters, each unit increase in occurrence of MRSA was associated with increase in weekly average maximum temperature of 1.7 °C (p = 0.044) and weekly average RH increase of 10% (p = 0.097).

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  • Sahoo, SoumyakantaKarolinska Institutet (author)
  • Marrone, GaetanoKarolinska Institutet (author)
  • Pathak, Ashish,1973-Karolinska Institutet,Uppsala universitet,Internationell mödra- och barnhälsovård (IMCH)(Swepub:uu)ashpa703 (author)
  • Lundborg, Cecilia StålsbyDepartment of Public Health Sciences (Global health/IHCAR), Karolinska Institutet, Stockholm, Sweden (author)
  • Tamhankar, Ashok JKarolinska Institutet (author)
  • Karolinska InstitutetDepartment of Public Health Sciences (Global health/IHCAR), Karolinska Institutet, Stockholm, Sweden (creator_code:org_t)

Related titles

  • In:International Journal of Environmental Research and Public Health: MDPI AG11:9, s. 8996-90071661-78271660-4601

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