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Centers for Disease Control and Prevention |
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July 3, 2008: Investigation of Outbreak of Human Infections Caused by E. coli O157:H7 | E. coli CDC |
Get the latest CDC information on the recent infections from fresh spinach, and find out what you can do to protect yourself and your family. |
| safe internal temperature | 0.601179 |
| raw ground beef | 0.789995 |
| State health | 0.568132 |
| raw meat | 0.709913 |
| Molecular fingerprinting testing | 0.615294 |
| harmful bacteria | 0.597932 |
| Nebraska Beef Ltd. | 0.764791 |
| FSIS virtual representative | 0.612729 |
| ground beef patties | 0.754312 |
| local health jurisdictions | 0.632222 |
| ill persons | 0.568665 |
| foodborne disease surveillance | 0.60919 |
| additional cases | 0.561893 |
| multi-state outbreak | 0.59094 |
| hemolytic-uremic syndrome | 0.567671 |
| median age | 0.564222 |
| beef manufacturing trimmings | 0.694296 |
| Kroger® retail stores | 0.613965 |
| Escherichia coli O157 | 0.658593 |
| multi-state case-control study | 0.618301 |
| separate cutting boards | 0.598435 |
| public health agencies | 0.72203 |
| O157 illness | 0.564431 |
| Poultry Hotline 1-888-MPHotline | 0.615655 |
| health authorities | 0.565981 |
|
| good food safety | 0.611596 |
| toll-free USDA Meat | 0.621566 |
| Michigan Departments | 0.567112 |
| ground beef | 0.910561 |
| Ohio. CDC | 0.571788 |
| State departments | 0.564536 |
| E. coli | 0.761022 |
| outbreak strain | 0.57819 |
| ground beef samples | 0.719402 |
| Wash cutting boards | 0.603883 |
| H7 infections | 0.58636 |
| ground beef components | 0.714155 |
| soapy water | 0.622694 |
| food safety messages | 0.612305 |
| Kroger® Company stores | 0.611739 |
| Michigan | 0.580557 |
| food safety | 0.796764 |
| ground beef products | 0.710576 |
| national molecular subtyping | 0.615535 |
| United States Department | 0.727326 |
| AgricultureÂ’s Food Safety | 0.634338 |
| Kroger Consumer Hotline | 0.607615 |
| food safety questions | 0.613039 |
| molecular fingerprinting | 0.629161 |
|
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Centers for Disease Control and Prevention |
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Obesity and Overweight: Data and Statistics |
Public health surveillance is the ongoing systematic collection, analysis, and interpretation of outcome-specific data for use in planning, interpretation, and evaluation of public health practice. |
| Obesity Facts | 0.906099 |
| United States | 0.700971 |
| vegetable consumption | 0.552925 |
| environmental indicators | 0.551822 |
| navigation Skip | 0.713483 |
| ongoing systematic collection | 0.729752 |
| evaluation | 0.429661 |
| Public health surveillance | 0.750877 |
| children | 0.426263 |
| surveillance systems | 0.713575 |
| outcome-specific data | 0.573413 |
| Trends | 0.426443 |
| Childhood Obesity Facts | 0.905956 |
| obesity | 0.960842 |
| adult obesity | 0.90967 |
| list Skip | 0.714124 |
|
| maps | 0.479654 |
| Adult Obesity Facts | 0.90306 |
| page options Skip | 0.864524 |
| state indicator reports | 0.721826 |
| state indicator | 0.735466 |
| interactive database systems | 0.676694 |
| data collection systems | 0.661591 |
| analysis | 0.429961 |
| physical activity | 0.782134 |
| planning | 0.429761 |
| public health practice | 0.714297 |
| nutrition | 0.449594 |
| latest statistics | 0.710898 |
| interpretation | 0.463146 |
| information | 0.425425 |
|
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Centers for Disease Control and Prevention |
Html |
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Bartonella - Prevention |
Bartonella bacteria cause several diseases in humans. The three most common are cat scratch disease, caused by B. henselae; trench fever, caused by B. quintana; and Carrión's disease, caused by B. bacilliformis.
|
| rough play | 0.360428 |
| South America | 0.29738 |
| limited access | 0.296669 |
| list Skip | 0.555024 |
| cats indoors | 0.332442 |
| spot-on treatments | 0.324348 |
| page options Skip | 0.848871 |
| protective clothing | 0.28894 |
| body lice | 0.99146 |
|
| proper personal hygiene | 0.545946 |
| flea collar | 0.339849 |
| human body lice | 0.668875 |
| Treat cats | 0.333844 |
| navigation Skip | 0.55107 |
| limit outdoor activities | 0.543368 |
| cats | 0.529008 |
| sand fly bites | 0.561739 |
| Wash hands | 0.342752 |
|
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| 7806 |
Centers for Disease Control and Prevention |
Html |
en |
Natural Disasters - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Natural Disasters |
| floods | 0.427494 |
| local government | 0.51201 |
| natural disasters | 0.914994 |
| emergency | 0.421458 |
| community services | 0.529364 |
| disaster-relief agencies | 0.515668 |
| number | 0.422681 |
| safety | 0.46289 |
| rescue attempts | 0.537222 |
| injury | 0.446724 |
| family members | 0.510891 |
| Don | 0.45954 |
| tornadoes | 0.427877 |
| natural hazards | 0.538398 |
| psychological hazards | 0.525625 |
| utility companies | 0.515466 |
| hurricanes | 0.425479 |
| cleanup | 0.42592 |
| Berger family | 0.511578 |
| 8-year-old daughter | 0.526099 |
| local business | 0.511759 |
| tap water | 0.514649 |
| problems | 0.423056 |
| gas generator | 0.600551 |
| death | 0.44668 |
|
| United States | 0.526356 |
| precautions | 0.42723 |
| 6-month-old son | 0.515949 |
| Research | 0.422702 |
| earthquakes | 0.426094 |
| example | 0.421538 |
| Illinois city | 0.538638 |
| specific steps | 0.527124 |
| natural disaster | 0.747713 |
| prolonged power outage | 0.612537 |
| trouble | 0.421907 |
| tornado-related injuries | 0.540888 |
| event | 0.444525 |
| special steps | 0.657073 |
| illness | 0.448203 |
| crib | 0.423455 |
| health | 0.488588 |
| people | 0.554819 |
| environment | 0.423973 |
| carbon monoxide poisoning | 0.612801 |
| interruption | 0.429153 |
| risk | 0.447424 |
| information | 0.442931 |
| post-tornado activities | 0.538283 |
|
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Centers for Disease Control and Prevention |
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Drowsy Driving - 19 States and the District of Columbia,2009-2010 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| prevalence drowsy driving | 0.576512 |
| sleep specialist | 0.461032 |
| sleep module | 0.485428 |
| sleep duration | 0.534456 |
| data collection methods | 0.457249 |
| Letitia R. Presley-Cantrell | 0.450413 |
| fatal motor vehicle | 0.458717 |
| state health departments | 0.456485 |
| air conditioner | 0.451065 |
| untreated sleep disorders | 0.482383 |
| National Center | 0.47363 |
| sleep problems | 0.461047 |
| optional sleep questions | 0.491059 |
| insufficient sleep | 0.574108 |
| sleep-related crashes | 0.469189 |
| frequent yawning | 0.450211 |
| usual sleep duration | 0.483706 |
| sleep health objectives | 0.488098 |
| Behavioral Risk Factor | 0.454207 |
| drowsy driving | 0.922539 |
| drowsy drivers | 0.558575 |
| drowsy driving prevalence | 0.590544 |
| non-drowsy driving crashes | 0.54637 |
| shows age-adjusted prevalence | 0.458066 |
| drowsy driving countermeasures | 0.560006 |
|
| Short sleep duration | 0.53042 |
| U.S. survey respondents | 0.464868 |
| sleep | 0.608228 |
| Anne G. Wheaton | 0.498232 |
| sleep-related characteristics | 0.486653 |
| Traffic Safety Administration | 0.456767 |
| state-level self-reported prevalence | 0.471839 |
| public health | 0.452334 |
| obstructive sleep apnea | 0.529469 |
| sleep disorders | 0.524629 |
| random-digit–dialed telephone survey | 0.458048 |
| fatal crashes | 0.456761 |
| age-adjusted prevalence | 0.463705 |
| response rates | 0.454734 |
| public health importance | 0.450225 |
| self-reported falling asleep | 0.498899 |
| drowsy driving crashes | 0.590955 |
| Traffic Safety | 0.459184 |
| daily sleep duration | 0.530869 |
| Sleep Disorders Research/NHTSA | 0.480641 |
| longer drowsy | 0.514964 |
| optional sleep module | 0.479359 |
| motor vehicle crashes | 0.680258 |
| adequate sleep | 0.460627 |
|
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Centers for Disease Control and Prevention |
Html |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0208 |
CDC - Wide Page example description goes here |
| local application | 0.732481 |
| Duval County | 0.78131 |
| Salud Pública | 0.713406 |
| Bell D | 0.725705 |
| Youth Risk Behavior | 0.840013 |
| Bowles K | 0.730074 |
|
| Kane R | 0.730683 |
| condado duval | 0.974698 |
| Livingood WC | 0.732211 |
| Chronic Dis | 0.739717 |
| LaVine M | 0.73449 |
|
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Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease GIS Snapshot | Planning for the Strategic Recruitment of Barbershops for Blood Pressure Screening and Referral in the Mississippi Delta Region - CDC |
The 18-county Mississippi Delta region covers approximately 11,000 square miles of the northwest part of the state of Mississippi between the Mississippi and Yazoo rivers. In 2010, its population was 554,754; 49.7% of residents were black, and 46.9% were white (1). Heart disease and stroke are the second and fourth leading causes of death among black men in the region (2). In 2010, the heart disease death rate was 179.1 deaths per 100,000 in the United States (3), 251.1 deaths per 100,000 in Mississippi, and 259.4 deaths per 100,000 in the Mississippi Delta region (2). High blood pressure is a risk factor for heart disease and stroke and disproportionately affects black men (4); the prevalence of high blood pressure is higher among black men than among other racial/ethnic groups in the state (5). |
| heart disease mortality | 0.3749 |
| high rates | 0.35888 |
| disease death rates | 0.429117 |
| health insurance | 0.370959 |
| health care provider | 0.469423 |
| Mississippi Delta Health | 0.435784 |
| census block group | 0.432141 |
| age-adjusted death rates | 0.366482 |
| systolic blood pressure | 0.457968 |
| Vincent L. Mendy | 0.359359 |
| West Park Ave | 0.358782 |
| blood pressure screenings | 0.623615 |
| diastolic blood pressure | 0.457847 |
| local community-based organization | 0.362652 |
| health care providers | 0.462991 |
| 18-county Mississippi Delta | 0.389154 |
| large populations | 0.358297 |
| blood pressure | 0.935605 |
| overall health | 0.348235 |
| block group level | 0.433403 |
| disease death rate | 0.423734 |
| blood pressure screening | 0.410259 |
| Blood pressure readings | 0.39566 |
| mm Hg | 0.461699 |
|
| International Classification | 0.373871 |
| Mississippi State Department | 0.466637 |
| community health workers | 0.421211 |
| related chronic diseases | 0.363827 |
| heart disease death | 0.531813 |
| normal blood pressure | 0.43805 |
| Mississippi Delta region | 0.743337 |
| United States | 0.369471 |
| following International Classification | 0.360024 |
| federal Health Insurance | 0.370497 |
| high heart disease | 0.381645 |
| heart disease | 0.694321 |
| county heart disease | 0.374566 |
| public health professionals | 0.38954 |
| health care | 0.524568 |
| black men | 0.743354 |
| routine blood pressure | 0.391012 |
| potential partner barbershops | 0.481864 |
| health care coverage | 0.374014 |
| 5-year cooperative agreement | 0.365219 |
| Delta Health Collaborative | 0.427497 |
| local health care | 0.425755 |
| adult black men | 0.44045 |
| Heart disease deaths | 0.38039 |
|
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Centers for Disease Control and Prevention |
Html |
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Global Road Safety | CDC Features |
Learn to protect yourself and others from road traffic injuries when traveling. |
| huge economic burden | 0.522789 |
| safety advocacy platforms | 0.517179 |
| car seat | 0.488651 |
| post-crash care | 0.462581 |
| booster seat | 0.486634 |
| key outcome | 0.461606 |
| road safety programs | 0.543792 |
| program planning | 0.46184 |
| development assistance | 0.466112 |
| Action Plan | 0.459985 |
| violence-related targets | 0.46057 |
| road traffic crashes | 0.789043 |
| road infrastructure | 0.482536 |
| global number | 0.462062 |
| Sustainable Development Goals | 0.513758 |
| Safe International Road | 0.540564 |
| violence prevention | 0.506747 |
| middle-income countries | 0.588661 |
| civil society groups | 0.511506 |
| motor vehicles | 0.472941 |
| Injury Center | 0.467495 |
| stronger injury | 0.466814 |
| Tampere Declaration | 0.515228 |
| road traffic injury | 0.630979 |
| Evaluate surveillance systems | 0.507521 |
|
| Motor vehicle crashes | 0.551928 |
| social development | 0.473651 |
| seat belts | 0.484951 |
| United States | 0.539141 |
| World Injury Conference | 0.519916 |
| Obey speed limits | 0.518977 |
| young people | 0.469421 |
| cell phone | 0.463813 |
| road safety management | 0.541244 |
| direct technical assistance | 0.513036 |
| traffic injury surveillance | 0.527821 |
| non-governmental organizations | 0.460316 |
| surveillance systems | 0.518224 |
| public health concern | 0.519113 |
| top-heavy buses | 0.467541 |
| Learn tips | 0.475217 |
| global commitment | 0.45998 |
| Current trends | 0.463928 |
| traffic injury data | 0.531679 |
| road users | 0.485638 |
| road traffic injuries | 0.953258 |
| broader transport networks | 0.510212 |
| seat belt | 0.527869 |
| Global Decade | 0.461103 |
|
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Centers for Disease Control and Prevention |
Html |
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Protect Babies from Whooping Cough Infographic | Vaccines |
Protect Babies from Whooping Cough Infographic |
| doses | 0.411815 |
| half | 0.409183 |
| grandparents | 0.411571 |
| arrow | 0.410483 |
| Tdap shot | 0.463041 |
| home* | 0.408982 |
| whooping cough vaccine | 0.871734 |
| Human Services | 0.447895 |
| protection | 0.409086 |
| babies | 0.424489 |
| source | 0.409436 |
| office | 0.408549 |
| trouble breathing | 0.456684 |
| U.S. Department | 0.444496 |
| local health department | 0.484749 |
| Disease Control | 0.44779 |
| whooping cough vaccines | 0.673639 |
| pregnant woman | 0.499212 |
| whooping cough catch | 0.684225 |
| nurse | 0.42232 |
| friend | 0.408984 |
|
| newborn baby | 0.450331 |
| Children | 0.410819 |
| hospital | 0.419971 |
| Facebook | 0.411409 |
| sister | 0.409008 |
| infants | 0.410647 |
| www.cdc.gov/whoopingcough | 0.409146 |
| Whooping cough cases | 0.697047 |
| respiratory infection | 0.456145 |
| Mom | 0.410257 |
| picture | 0.462479 |
| doctor | 0.417585 |
| whooping cough | 0.994906 |
| childcare providers | 0.452144 |
| severe coughing | 0.459298 |
| baby | 0.489941 |
| Pinit | 0.40891 |
| young daughter | 0.448744 |
| time | 0.408683 |
| rise | 0.40951 |
| brother | 0.408618 |
|
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Centers for Disease Control and Prevention |
Html |
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HAN Archive - 00395|Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| drug overdose fatalities | 0.503045 |
| previous overdose | 0.409623 |
| fentanyl submissions | 0.616937 |
| drug overdose | 0.587084 |
| fentanyl-related overdose outbreaks | 0.517191 |
| fentanyl analogs | 0.743259 |
| fentanyl analog drug | 0.680583 |
| public health departments | 0.407871 |
| potent fentanyl analog | 0.672129 |
| fentanyl | 0.995118 |
| drug overdose scenes | 0.488098 |
| overdose event | 0.403201 |
| Morb Mortal Wkly | 0.497023 |
| health care professionals | 0.41704 |
| Orally-ingested counterfeit pills | 0.390746 |
| National Forensic Laboratory | 0.395675 |
| drug submissions | 0.431566 |
| opioid overdose deaths | 0.539087 |
| fentanyl seizures | 0.600968 |
| fentanyl overdose | 0.933351 |
| illicitly manufactured fentanyl | 0.857649 |
| United States | 0.44045 |
| diverted prescription pills | 0.387487 |
| fatal overdose | 0.437324 |
| acetyl fentanyl | 0.672074 |
|
| Fatal fentanyl | 0.591144 |
| MMWR Morb Mortal | 0.497043 |
| U.S. drug market | 0.42819 |
| Forensic Laboratory Information | 0.395663 |
| U.S. fentanyl | 0.584007 |
| counterfeit pills | 0.697841 |
| Mortal Wkly Rep | 0.484256 |
| furanyl fentanyl | 0.619115 |
| fentanyl-laced counterfeit pills | 0.488367 |
| public health | 0.424314 |
| fentanyl-related compounds | 0.627639 |
| drug overdose deaths | 0.46624 |
| fentanyl analog | 0.682113 |
| fentanyl-related overdose fatalities | 0.481987 |
| overdose fatalities | 0.511754 |
| Drug Enforcement Administration | 0.440886 |
| fentanyl doubling | 0.614588 |
| fentanyl screening | 0.593799 |
| non-pharmaceutical fentanyl | 0.666607 |
| Drug Overdose Health | 0.497207 |
| toxic fentanyl-related compounds | 0.498834 |
| opioid overdose cases | 0.497509 |
| opioid-related overdose | 0.429013 |
| drug overdose outbreaks | 0.500936 |
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