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

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...

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Autores principales: Sahoo, Krushna Chandra, Sahoo, Soumyakanta, Marrone, Gaetano, Pathak, Ashish, Lundborg, Cecilia Stålsby, Tamhankar, Ashok J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4199002/
https://www.ncbi.nlm.nih.gov/pubmed/25177823
http://dx.doi.org/10.3390/ijerph110908996
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author Sahoo, Krushna Chandra
Sahoo, Soumyakanta
Marrone, Gaetano
Pathak, Ashish
Lundborg, Cecilia Stålsby
Tamhankar, Ashok J.
author_facet Sahoo, Krushna Chandra
Sahoo, Soumyakanta
Marrone, Gaetano
Pathak, Ashish
Lundborg, Cecilia Stålsby
Tamhankar, Ashok J.
author_sort Sahoo, Krushna Chandra
collection PubMed
description 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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spelling pubmed-41990022014-10-17 Climatic Factors and Community — Associated Methicillin-Resistant Staphylococcus aureus Skin and Soft-Tissue Infections — A Time-Series Analysis Study Sahoo, Krushna Chandra Sahoo, Soumyakanta Marrone, Gaetano Pathak, Ashish Lundborg, Cecilia Stålsby Tamhankar, Ashok J. Int J Environ Res Public Health Article 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). MDPI 2014-08-29 2014-09 /pmc/articles/PMC4199002/ /pubmed/25177823 http://dx.doi.org/10.3390/ijerph110908996 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Sahoo, Krushna Chandra
Sahoo, Soumyakanta
Marrone, Gaetano
Pathak, Ashish
Lundborg, Cecilia Stålsby
Tamhankar, Ashok J.
Climatic Factors and Community — Associated Methicillin-Resistant Staphylococcus aureus Skin and Soft-Tissue Infections — A Time-Series Analysis Study
title Climatic Factors and Community — Associated Methicillin-Resistant Staphylococcus aureus Skin and Soft-Tissue Infections — A Time-Series Analysis Study
title_full Climatic Factors and Community — Associated Methicillin-Resistant Staphylococcus aureus Skin and Soft-Tissue Infections — A Time-Series Analysis Study
title_fullStr Climatic Factors and Community — Associated Methicillin-Resistant Staphylococcus aureus Skin and Soft-Tissue Infections — A Time-Series Analysis Study
title_full_unstemmed Climatic Factors and Community — Associated Methicillin-Resistant Staphylococcus aureus Skin and Soft-Tissue Infections — A Time-Series Analysis Study
title_short Climatic Factors and Community — Associated Methicillin-Resistant Staphylococcus aureus Skin and Soft-Tissue Infections — A Time-Series Analysis Study
title_sort climatic factors and community — associated methicillin-resistant staphylococcus aureus skin and soft-tissue infections — a time-series analysis study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4199002/
https://www.ncbi.nlm.nih.gov/pubmed/25177823
http://dx.doi.org/10.3390/ijerph110908996
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