| 524 |
Centers for Disease Control and Prevention |
Html |
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The Dangers of Hookah Smoking |
Hookah Smoking Just as Toxic as Cigarettes |
| 1-hour-long hookah smoking | 0.738656 |
| Health organizations | 0.373195 |
| Future survey | 0.368836 |
| specially made tobacco | 0.421419 |
| periodontal disease | 0.369415 |
| cessation interventions | 0.362715 |
| lung cancer | 0.36439 |
| harmful health effects | 0.431483 |
| strong health warnings | 0.4159 |
| longer period | 0.362689 |
| cancer-causing chemicals | 0.367491 |
| Study Group | 0.363292 |
| hookah smoke | 0.634049 |
| health professionals | 0.371454 |
| typical hookah session | 0.636702 |
| hookah tobacco | 0.624447 |
| different names | 0.370959 |
| comprehensive tobacco control | 0.453157 |
| World Health Organization | 0.431728 |
| carbon monoxide | 0.365063 |
| average cigarette | 0.402689 |
| tobacco products | 0.435323 |
| harmful toxins | 0.375546 |
| 12th grade students | 0.430081 |
| hookah smoking session | 0.853413 |
|
| Chronic Disease | 0.366137 |
| smoking session—hookah smokers | 0.532522 |
| Policy Interventions | 0.364081 |
| United States | 0.501394 |
| water pipes | 0.372332 |
| high levels | 0.365816 |
| cigarette smoke | 0.491407 |
| cigarette smoking | 0.579248 |
| hookah smokers | 0.703285 |
| tobacco smoking | 0.494595 |
| public health initiatives | 0.420173 |
| college students | 0.373818 |
| tobacco-related disease | 0.370924 |
| hookah smoking | 0.966861 |
| Youth Hookah Smoking | 0.730175 |
| middle school students | 0.427734 |
| addictive drug nicotine | 0.438321 |
| Current hookah | 0.603515 |
| high school students | 0.512498 |
| National Youth Tobacco | 0.471265 |
| potential health hazard | 0.424637 |
| health risks | 0.435949 |
| low birth weight | 0.421788 |
| high potential levels | 0.412047 |
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| 4809 |
Centers for Disease Control and Prevention |
Html |
en |
Cardiovascular risk according to plasma apolipoprotein and lipid profiles in a Canadian First Nation |
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| HDL profile | 0.274538 |
| particle size | 0.403982 |
| positive linear trend | 0.275584 |
| plasma HDL levels | 0.371804 |
| plasma triglyceride levels | 0.288068 |
| cardiovascular risk factors | 0.658305 |
| plasma HDL cholesterol | 0.411472 |
| higher cardiovascular risk | 0.31347 |
| total cholesterol | 0.275906 |
| apoB | 0.321276 |
| traditional cardiovascular risk | 0.316371 |
| diastolic blood pressure | 0.412903 |
| lipoprotein particle size | 0.37861 |
| lower apoA1 levels | 0.300604 |
| small HDL particles | 0.428969 |
| dense HDL particles | 0.383378 |
| cardiovascular disease risk | 0.36236 |
| large HDL particles | 0.52862 |
| study community | 0.298184 |
| HDL cholesterol levels | 0.910827 |
| HDL particle size | 0.322962 |
| lower HDL cholesterol | 0.393424 |
| aboriginal people | 0.362012 |
| LDL cholesterol levels | 0.486617 |
| low hdl cholesterol | 0.53094 |
|
| plasma LDL cholesterol | 0.31468 |
| women | 0.345865 |
| study | 0.307774 |
| higher HDL cholesterol | 0.405999 |
| beneficial large HDL | 0.316579 |
| Canadian Aboriginal people | 0.296102 |
| high-density lipoprotein levels | 0.304578 |
| high diabetes rates | 0.304193 |
| significantly higher apoA1 | 0.275712 |
| apoA1 ratio | 0.382722 |
| high triglyceride levels | 0.294151 |
| cardiovascular risk | 0.885696 |
| insulin resistance | 0.605458 |
| Nation community | 0.345707 |
| cardiovascular disease | 0.610123 |
| high cardiovascular risk | 0.311086 |
| plasma lipid levels | 0.351437 |
| cardiovascular risk factor | 0.310521 |
| HDL cholesterol concentrations | 0.389016 |
| lipoprotein cholesterol measurements | 0.31502 |
| Manitoba Health Research | 0.283045 |
| coronary heart disease | 0.28387 |
| triglyceride levels | 0.344847 |
| diabetes | 0.439368 |
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Centers for Disease Control and Prevention |
Html |
null |
Lymphatic Filariasis in the Americas |
Lymphatic filariasis (LF) is a disabling parasitic disease caused by worms that are spread from person-to-person by the bite of infected mosquitoes. |
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| 7871 |
Centers for Disease Control and Prevention |
Html |
en |
Malaria and International Travel - Health Communication |
Malaria and International Travel - Gateway to Health Communication - CDC |
| South America | 0.559986 |
| Insect repellents | 0.549816 |
| high school | 0.54369 |
| graduation present | 0.546918 |
| health care provider | 0.683632 |
| longer length | 0.539362 |
| extensive testing | 0.546865 |
| malaria-risk area | 0.679982 |
| antimalarial drugs | 0.585499 |
| Indian subcontinent | 0.564138 |
| malaria-risk areas | 0.575952 |
| cerebral malaria | 0.770167 |
| malaria drug | 0.791604 |
| DEET concentration | 0.570947 |
| prompt medical attention | 0.673631 |
| life-threatening infectious disease | 0.722754 |
| infected female Anopheles | 0.738693 |
| protective immunity | 0.581071 |
| Time-release products | 0.548151 |
| Malaria symptoms | 0.867712 |
| Yes. Malaria | 0.803557 |
| new cases | 0.561564 |
| North Americans | 0.555911 |
| Early diagnosis | 0.551041 |
| malaria causes | 0.822469 |
|
| United States | 0.737111 |
| kidney failure | 0.56564 |
| long-sleeved shirts | 0.542584 |
| malaria | 0.97225 |
| Untreated malaria | 0.855641 |
| repeated attacks | 0.557503 |
| Middle East | 0.559472 |
| initial onset | 0.564107 |
| sub-Saharan Africa | 0.562819 |
| Southeast Asia | 0.55772 |
| medical attention | 0.689145 |
| muscle aches | 0.58577 |
| clinic physician | 0.545327 |
| flu-like symptoms | 0.605393 |
| modern housing | 0.541446 |
| health insurance plans | 0.678919 |
| malaria transmission | 0.807359 |
| international travelers | 0.590415 |
| antimalarial drug | 0.581504 |
| risk area | 0.55949 |
| Indira | 0.56044 |
| window screens | 0.537909 |
| mosquito net | 0.583287 |
| sub-tropical countries | 0.570136 |
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| 8054 |
Centers for Disease Control and Prevention |
Html |
en |
Preconception Care, Show Your Love Campaign - Buttons, Press Releases, E-Cards, Strategies |
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| CDC Foundation | 0.574681 |
| best way | 0.568552 |
| iOS | 0.363726 |
| body | 0.351064 |
| web address | 0.555317 |
| Insert your organization | 0.531557 |
| number | 0.354391 |
| priorities | 0.356626 |
| pages | 0.345875 |
| awareness | 0.354428 |
| app | 0.356016 |
| press release | 0.718478 |
| images | 0.383281 |
| web site | 0.557179 |
| campaign logo | 0.558357 |
| Pregnancy Important | 0.539129 |
| main messages | 0.543015 |
| couples | 0.347845 |
| Android | 0.359003 |
| materials | 0.410181 |
| Future Health | 0.527716 |
| women | 0.97292 |
| checklists | 0.404654 |
| code | 0.388196 |
|
| Anthem | 0.354861 |
| paste | 0.403507 |
| printable formats | 0.551322 |
| button | 0.501925 |
| Pregnancy Benefits Moms | 0.723695 |
| local community | 0.527416 |
| trifold version | 0.846706 |
| target specific groups | 0.835111 |
| preconception health | 0.575923 |
| Love campaign | 0.549628 |
| Talking Points | 0.542969 |
| web page | 0.735323 |
| resources | 0.354367 |
| photo | 0.34776 |
| people | 0.348353 |
| doctor | 0.346303 |
| simple steps | 0.568339 |
| healthcare provider | 0.55681 |
| partners | 0.401841 |
| organization’s goals | 0.569223 |
| Women’s Health | 0.555818 |
| time | 0.351192 |
| health plan | 0.549537 |
| family | 0.353098 |
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| 8851 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Using Geographic Information Systems to Compare Municipal, County, and Commercial Parks Data - CDC |
Parks are an integral part of a favorable built environment, and several studies have found a positive association between a favorable built environment and physical activity. |
| North Carolina | 0.868901 |
| municipal/county parks data | 0.608124 |
| commercial parks data | 0.660381 |
| municipal/county data | 0.712583 |
| commercial data source | 0.512617 |
| Internet searches | 0.542171 |
| parks | 0.986204 |
| Maryland parks | 0.552724 |
| Prev Med | 0.503507 |
| sq mi | 0.728326 |
| parks data | 0.714689 |
| data sources | 0.940405 |
| mobile home parks | 0.589366 |
| absolute proportion difference | 0.496501 |
| local parks data | 0.584687 |
| commercial sources | 0.571926 |
| municipal/county park data | 0.541568 |
| York study area | 0.497976 |
| New York study | 0.498475 |
| commercial data sources | 0.644029 |
| private parks | 0.551072 |
| state parks | 0.52833 |
| municipal/county GIS data | 0.504323 |
| commercial park data | 0.530856 |
| telephone inquiries | 0.522857 |
|
| Maryland study area | 0.497086 |
| different parks | 0.523029 |
| national parks | 0.528914 |
| favorable built environment | 0.514456 |
| large metropolitan areas | 0.494121 |
| secondary parks data | 0.612961 |
| study | 0.537338 |
| study area | 0.528025 |
| comprehensive parks | 0.521374 |
| municipal/county sources | 0.579317 |
| municipal/county data sources | 0.699217 |
| private neighborhood parks | 0.566758 |
| commercial source | 0.510189 |
| public health | 0.491164 |
| New York | 0.795475 |
| regional parks | 0.532724 |
| commercial data | 0.679537 |
| North Carolina parks | 0.586301 |
| physical activity | 0.834555 |
| New York parks | 0.604277 |
| Introduction
Parks | 0.546592 |
| park data sources | 0.533538 |
| facilities | 0.49105 |
| new parks | 0.554188 |
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| 10113 |
Centers for Disease Control and Prevention |
Html |
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CDC Global Health - South Africa - Associate Professor Before 29 Years |
null |
| Nigerian community newspaper | 0.670628 |
| HIV pathogenesis | 0.63661 |
| Professor Thandi Puoane | 0.626906 |
| National Merit Certificate | 0.62611 |
| fewer new HIV | 0.704303 |
| chronic lifelong disease | 0.623607 |
| South Africa.To follow | 0.681683 |
| Public Health degree | 0.675348 |
| Disease Control | 0.636834 |
| Ehimario Uche Igumbor | 0.680931 |
| Ehimario Igumbor | 0.653635 |
| Nigerian Voice Newspaper | 0.815805 |
| Masters Degree course | 0.647339 |
| university academic career | 0.673641 |
| Zimbabwe Medical School | 0.634004 |
| African higher education | 0.628668 |
| Associate Professor | 0.690244 |
| academic excellence | 0.633515 |
| Western Cape | 0.642708 |
| Ehimario U. Igumbor | 0.680111 |
| South African institutions | 0.662631 |
| Strategic Information Branch | 0.640596 |
| prestigious competitive contests | 0.631476 |
| Nigerian High Commission | 0.704655 |
| masters degree | 0.648729 |
|
| Extraordinary Associate Professor | 0.642596 |
| South Africa | 0.966283 |
| South African AIDS | 0.678506 |
| Nigerian National Mathematical | 0.692548 |
| challenges public health | 0.64911 |
| Best Overall Academic | 0.643591 |
| Golden Key International | 0.627812 |
| Best Honors Research | 0.63842 |
| Nigerian Independence Celebrations | 0.694326 |
| increasingly HIV | 0.64705 |
| formidable health challenges | 0.637143 |
| currently mooted AIDS | 0.642871 |
| eligible infected patients | 0.630995 |
| chronic manageable disease | 0.627413 |
| public health | 0.814013 |
| on-going research projects | 0.626191 |
| University Book Prize | 0.641896 |
| Mr. Sam Igumbor | 0.624369 |
| Emeritus Professor David | 0.625678 |
| relevant HIV vaccines | 0.69146 |
| various sub-population groups | 0.620715 |
| HIV deaths | 0.645419 |
| Nigerian Community Award | 0.70663 |
| Professor Eunice Igumbor | 0.644289 |
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Centers for Disease Control and Prevention |
Html |
en |
Using AMD methods to track polio |
To explore the inner-workings of the polio virus and track its spread, CDC is using advanced molecular detection (AMD) methods. |
| substantial support | 0.493181 |
| Horn | 0.368034 |
| Cameroon | 0.336838 |
| CDC | 0.966385 |
| poliovirus changes | 0.469927 |
| funded work | 0.504856 |
| health officials | 0.630412 |
| resolution | 0.333112 |
| Syria | 0.372135 |
| far-reaching effort | 0.520048 |
| Melinda Gates Foundation | 0.653335 |
| polio worldwide | 0.595779 |
| wider window | 0.477331 |
| Global Polio Eradication | 0.779882 |
| Rotary International | 0.493858 |
| infectious disease outbreaks | 0.681068 |
| national governments | 0.490299 |
| Africa | 0.364388 |
| wily virus | 0.638122 |
| UNICEF | 0.339367 |
| Previous methods | 0.472488 |
| virus changes | 0.596019 |
| Action | 0.335368 |
| Advanced Molecular Detection | 0.61028 |
| wild virus | 0.612185 |
|
| bioinformatics capabilities | 0.50715 |
| virus | 0.801926 |
| worldwide eradication | 0.506545 |
| times | 0.332502 |
| technological innovations | 0.477078 |
| inner-workings | 0.346257 |
| laboratory technicians | 0.477419 |
| genetic sequencing methods | 0.708963 |
| laboratory methods | 0.484147 |
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| CDC scientists | 0.805801 |
| broader range | 0.478064 |
| identifiable molecular clock | 0.626653 |
| public health workers | 0.621558 |
| GPEI | 0.332811 |
| sequence larger segments | 0.614686 |
| AMD funding | 0.560973 |
| World Health Assembly | 0.96697 |
| polio virus | 0.69495 |
| significant leap | 0.508051 |
| clear understanding | 0.474011 |
| AMD program | 0.571771 |
| responses | 0.332478 |
| upper hand | 0.480536 |
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| 11338 |
Centers for Disease Control and Prevention |
Html |
en |
Newport Infections Linked to Organic Sprouted Chia Powder (Final Update) |
Epi Curve Multistate Outbreak of Salmonella Newport Infections Linked to Organic Sprouted Chia Powder |
| average | 0.823049 |
| Illnesses | 0.784543 |
| Salmonella Newport | 0.740337 |
| person | 0.743937 |
| Persons | 0.256387 |
|
| ill | 0.774024 |
| information | 0.731178 |
| time | 0.661522 |
| outbreak strain | 0.751508 |
| illness | 0.9567 |
|
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Centers for Disease Control and Prevention |
Html |
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Julia's Biography | Real Stories | Tips From Former Smokers |
Julia smoked and got colorectal cancer. Her full story and her videos are part of CDC's Tips From Former Smokers campaign.
|
| brothers | 0.530586 |
| cigarettes—her energy | 0.640965 |
| singing voice | 0.638215 |
| danger | 0.532372 |
| chemotherapy | 0.532409 |
| tiny camera | 0.655643 |
| strong voice | 0.631534 |
| ostomy bag | 0.655503 |
| healing process | 0.645144 |
| church choir | 0.640592 |
| narrow tube | 0.654367 |
| vomiting | 0.535478 |
| family members | 0.769472 |
| simple exam | 0.656372 |
| curiosity | 0.538465 |
| diarrhea | 0.535185 |
| pack | 0.534394 |
| young son | 0.65208 |
| adventure | 0.533571 |
| symptoms | 0.531114 |
| puff | 0.538316 |
| Mississippi | 0.533591 |
| child | 0.529536 |
| early twenties | 0.684057 |
| abdomen | 0.537574 |
|
| smokers | 0.533335 |
| life | 0.635544 |
| niece | 0.534708 |
| smoking | 0.558666 |
| gas | 0.531088 |
| hospital | 0.562376 |
| colonoscopy | 0.5377 |
| New York | 0.676414 |
| mind | 0.535659 |
| Mississippi—raising | 0.530687 |
| pain | 0.529395 |
| colostomy | 0.534933 |
| large family | 0.667083 |
| colon cancer | 0.809523 |
| sisters | 0.530611 |
| opportunities | 0.533557 |
| Julia | 0.965244 |
| doctor | 0.530446 |
| hole | 0.529207 |
| tumor | 0.565041 |
| intestines | 0.540612 |
| cramps | 0.537937 |
| age | 0.531338 |
| surgery | 0.529771 |
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