@Article{KifferMontCamaPign:2013:SpApCo,
author = "Kiffer, Carlos R. V. and Monteiro, Antonio Miguel Vieira and
Camargo, Eduardo Celso Gerbi and Pignatari, Antonio C. C.",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and
Laborat{\'o}rio Especial de Microbiologia Clinica, Department
Doen{\c{c}}as Infecciosas e Parasit{\'a}rias, Universidade
Federal de S{\~a}o Paulo, S{\~a}o Paulo, Brazil",
title = "A proposed model for understanding human-bacterial interactions:
Space-time approach on community <i>Escherichia coli</i>
occurrence and resistance phenomenon",
journal = "Advances in Bioscience and Biotechnology",
year = "2013",
volume = "4",
number = "4",
pages = "505--508",
keywords = "Escherichia coli, antimicrobial agents, microbiome.",
abstract = "Due to ecological effect, it is expected that population exposures
to antimicrobial drugs may lead to micro- organisms modifications,
occasionally leading to re- sistance emergence. The present review
was based on previous empirical data and on related literature
search for quantitative empirical models exploring the hu-
man-bacterial interactions. Our previous studies have shown the
emergence of ciprofloxacin resistant (CIP- R) Escherichia coli
significantly related to previous specific levels of ciprofloxacin
consumption and to urban clusters of CIP-R E. coli. The evidence
of sig- nificant spatial clustering of antimicrobial resistance
(ciprofloxacin resistance E. coli) reinforces the ecolo- gical
effect hypothesis as a major drive in resistance emergence. In
other words, human populations sub- mitted to a certain
ciprofloxacin or quinolone usage level may affect neighbours
within certain geogra- phical areas, not necessarily due to
individual antim- icrobial intake, but as a driving pressure over
a mo- dified circulating E. coli population. Apparently quan-
titative spatial-temporal analytical frameworks may be better for
understanding human-bacterial interac- tions based on any of their
epiphenomena (antimicro- bial consumption, antimicrobial
resistance, geno/phe- notypic characteristics).",
doi = "10.4236/abb.2013.44066",
url = "http://dx.doi.org/10.4236/abb.2013.44066",
issn = "2156-8456 and 2156-8502",
label = "lattes: 0271662670324136 3 KifferMontCamaPign:2013:SpApCo",
language = "en",
targetfile = "ABB_2013041113304729.pdf",
urlaccessdate = "28 abr. 2024"
}