ARTICLES LIST

 

Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
935 Centers for Disease Control and Prevention Html en Multiple-Serotype Salmonella Outbreaks in Two State Prisons- Arkansas, August 2012 Rachel E. Gicquelais, MPH1, Jamae F. Morris, PhD2, H.
Salmonella0.82078
positive stool cultures0.440616
stool culture plate0.39451
prison population0.377476
stool specimens0.915685
Salmonella Adelaide0.46261
symptom onset0.42626
Salmonella serotypes0.476418
Salmonella Enteritidis0.413583
Salmonella morphologies0.416128
Salmonella PFGE patterns0.466502
safe food preparation0.44681
prison cafeterias0.402298
Prison kitchen staff0.50344
Salmonella Anatum0.52641
prison0.931017
stool culture0.498222
multiple-serotype Salmonella infections0.442612
prison A investigation0.427555
prison A kitchen0.4229
Salmonella colonization0.404116
Salmonella clearance0.476381
prison staff0.532323
prison B. Weekly0.434886
food safety training0.700181
food preparation0.525576
Salmonella testing0.482429
inmate kitchen workers0.863816
Salmonella Heidelberg0.425683
prison B. Laboratory0.418529
weekly stool specimens0.57819
prison B outbreak0.412191
certain Salmonella serotypes0.451356
chicken salad0.909982
prison B.0.542628
multiple-serotype Salmonella outbreaks0.489066
inmates0.680355
Salmonella Cerro patterns0.47301
prison B kitchen0.462901
Salmonella Anatum pattern0.445228
food items0.399604
ADH sanitarians0.403596
prison housing unit0.440988
successive stool specimens0.405488
prison kitchens0.376605
Prison B officials0.38773
infected inmates0.376469
food storage containers0.388757
food preparation practices0.381627
CLICK HERE
4653 Centers for Disease Control and Prevention Html en Environmental metrics for community health improvement null
community metrics0.654623
well-characterized health effects0.63404
data0.636034
long-term health determinants0.616075
automobile dependence metrics0.639638
Potential metrics0.62367
community health information0.726901
human health0.646822
environmental health indicators0.666563
general health0.622338
health outcomes0.672948
potential health effect0.61629
direct health effects0.627818
Rev Public Health0.62924
assess health disparities0.677959
air quality0.616366
Health Rankings-Mobilizing Action0.614645
Health Institute project0.61466
community level0.703932
population health0.611781
environmental factors0.620076
practicable metrics0.616853
Optimal metrics0.6345
feasible metrics0.623996
community health determinants0.696295
water quality0.622357
community health0.866049
environmental health metrics0.797766
health effects0.672947
health information base0.682446
National environmental health0.671264
environmental public health0.71797
useful metrics0.618357
Health Promot Practice0.61348
environmental health policy0.667224
drinking water0.619746
local health departments0.673742
public health0.85776
general health outcomes0.622313
health0.917155
community health improvements0.656804
self-reported poor health0.625486
physical activity0.620961
environmental metrics0.759288
Environmental Health program0.660009
community health aspirations0.662979
Table).0.614686
community health metrics0.848065
public health action0.664982
CLICK HERE
5257 Centers for Disease Control and Prevention Html en Associations Between Severe Obesity and Depression: Results From the National Health and Nutrition Examination Survey, 2005-2006 null
severely obese women0.502512
health professional interview0.483636
poor physical health0.703213
possible mediators0.487899
mental health0.485149
significant differences0.503532
number0.481161
self-rated health0.697479
cross-sectional study0.47797
class III obesity0.739488
Nutrition Examination Survey0.512701
health behaviors0.533091
obesity0.853249
major depression0.488775
demographic factors0.537162
specific health behaviors0.49145
Patient Health Questionnaire0.53777
waist circumference0.903838
body mass index0.567724
depression screener score0.516127
self-rated health status0.578996
National Health0.486679
large waist circumference0.64816
Wardle J. Depression0.502377
waist circumference models0.517888
severe obesity0.491058
women0.678516
study0.488517
class II obesity0.529501
association0.552524
small waist circumference0.547465
optimal waist circumference0.519109
health status ratings0.485691
PHQ-9 score0.509622
alcohol consumption0.485564
self-reported physical health0.479478
men0.525816
current depression0.541793
BMI0.558416
previous depression0.47914
health0.806602
depression status0.496451
chronic conditions0.847033
dependent variable0.488854
physical activity0.486698
prior obesity0.49074
earlier obesity0.492419
reference group0.59813
logistic regression models0.507815
CLICK HERE
5650 Centers for Disease Control and Prevention Html en Stoddard solvent - NIOSH Pocket Guide to Chemical Hazards null
MPEG0.378858
search0.263099
PDF0.261307
PPT0.446092
DOC0.368812
information0.262482
different file formats0.938484
page0.276773
CLICK HERE
8135 Centers for Disease Control and Prevention Html en Preconception Care, Show Your Love Campaign - Images, Physical Activity null
Save target0.868127
right click0.950907
Save link0.813989
CLICK HERE
12929 Centers for Disease Control and Prevention Video en Concussion Videos - Responding to a Concussion null
Response0.36343
Heads0.860411
CLICK HERE
13505 Centers for Disease Control and Prevention Html en Populations and Settings | Division of Viral Hepatitis | CDC null
MPEG0.741242
site0.541063
PDF0.544429
PPT0.837268
DOC0.733754
CLICK HERE
14351 Centers for Disease Control and Prevention Html en "Well-Being in All Policies": Promoting Cross-SectoralCollaboration to Improve People's Lives Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.
health care spending0.421959
state health surveys0.382044
health plans0.375677
World Health Organisation0.366344
health care policy0.63
social determinants0.386121
health outcomes0.396273
Community Health Plans0.370274
Health Communities Model0.384137
life satisfaction0.387122
health policy makers0.414369
health care organization0.444727
well-being0.638341
self-reported health0.408306
World Health Organization0.481121
population health0.376784
subjective well-being0.573736
health care circles0.476006
Consuming Health Care.0.393781
health determinants0.40536
National Health0.384828
health problems0.366736
health care organizations0.45105
social well-being0.490326
health fields0.366954
Health care costs0.390959
self-reported health ratings0.379473
United States0.374637
well-being goals0.389557
community well-being0.392169
health promotion0.37918
National Public Health0.397676
health policy0.523949
health care0.769839
public health0.476855
fewest health limitations0.374509
health care systems0.395201
total health0.370647
poor self-reported health0.380157
positive mental health0.365939
complete mental health0.382218
health0.926142
activities increase well-being0.385143
greater well-being0.401899
Occup Environ Med0.376171
health care sector0.455434
nonprofit integrated health0.366456
health plan programs0.365593
overall well-being0.37038
CLICK HERE
15912 Centers for Disease Control and Prevention Html en Notes from the Field | MMWR The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).
public health requests0.435083
public locations0.368627
County Health Department0.778102
hospital security videos0.341097
uncertain vaccination history0.355475
C. Age range0.3449
tertiary care hospital0.349955
Shelby County0.706607
health care facility0.429971
measles virus0.625623
epidemiologic link0.367126
Shelby County Health0.663904
measles diagnosis0.442077
Regional Health Department0.40558
3Shelby County Health0.398678
recent international travel0.348586
rapid public health0.418765
daily active monitoring0.335703
public health officials0.897097
initial measles0.458993
2-dose MMR vaccination0.518385
high 2-dose MMR0.498048
public health response0.534143
health care settings0.420866
effective public health0.444027
recent measles cases0.514241
United States0.353119
intramuscular immune globulin0.335835
unidentified epidemiologic link0.354909
Measles Response Team0.496524
previous measles outbreaks0.529622
MMR vaccination coverage0.518358
health care workers0.723698
measles vaccine0.475577
public health0.994802
health care0.804048
polymerase chain reaction0.353665
health care systems0.433432
international travel0.349235
potentially exposed persons0.35669
measles patients0.483723
local public health0.475015
positive measles IgM0.58878
Public Health Preparedness0.415502
close contacts0.424664
measles IgM testing0.521769
rash onset0.374666
measles0.711161
public health vaccination0.459833
CLICK HERE
16228 Centers for Disease Control and Prevention Html en Principles of Epidemiology: Lesson 1, Section 6|Self-Study Course SS1978 null
data0.817907
10-year age groups0.64123
public health interventions0.620916
lower socioeconomic status0.641831
all-terrain vehicle crashes0.618868
health officials0.622731
lower socioeconomic areas0.630513
lung cancer0.691409
number0.733045
World Trade Center0.705445
disease occurrence0.851521
different age groups0.717596
West Nile0.623047
influenza vaccination campaign0.62482
farm tractor fatalities0.684417
diseases0.653917
age groups0.791609
graph0.643737
exposure0.625474
person data0.657946
low socioeconomic status0.643876
time periods0.637094
relevant time scale0.643843
differences0.632867
Seasonality. Disease occurrence0.681431
description0.63951
higher socioeconomic status0.698012
epidemiologists0.637842
graphs0.618075
5-year age groups0.701997
lung cancer rates0.67126
lower socioeconomic strata0.629341
bar chart0.701981
displays SARS data0.633735
epidemic curve0.652012
place0.618908
public health0.686423
Time data0.625327
disease0.923764
cases0.69889
monitoring disease occurrence0.686163
standard 5-year age0.630459
5-year age group0.629133
Figure0.711031
lung cancer deaths0.666383
public health problem0.630567
shorter time periods0.633186
time0.821768
adverse health conditions0.677288
CLICK HERE

 

 

 

Terms of Use | Privacy Policy
©2017 ARCHES Technology. All Rights Reserved.