Items tagged with: CDC
#ClinicalLaboratory #CLS #MT #LabSafety #CDC #health #medicine #news #emergingdiseases #MedLab #MedicalLaboratory
Immunologist Tetyana Obukhanych: Unvaccinated Children Pose “No Extra Danger to the Public”…
I hold a PhD in Immunology. I am writing this letter in the hope that it will correct several common misperceptions about vaccines in order to help you formulate a fair and balanced understanding that is supported by accepted vaccine theory and new scientific findings.It is often stated that those who choose not to vaccinate their children for reasons of conscience endanger the rest of the public, and this is the rationale behind most of the legislation to end vaccine exemptions currently being considered by federal and state legislators country-wide. You should be aware that the nature of protection afforded by many modern vaccines – and that includes most of the vaccines recommended by the CDC for children – is not consistent with such a statement. I have outlined below the recommended vaccines that cannot prevent transmission of disease either because they are not designed to prevent the transmission of infection (rather, they are intended to prevent disease symptoms), or because they are for non-communicable diseases. People who have not received the vaccines mentioned below pose no higher threat to the general public than those who have, implying that discrimination against non-immunized children in a public school setting may not be warranted.
#Immunologist #Unvaccinated #Children #CDC #VACCINE #HEALTH #MEDICINE #BIOLOGY
Also don't forget that the #CDC makes plenty of money on vaccines too.
One wonders why all of the #nutball #feminists are not violently protesting against this.
Don't they control their own bodies now?
Isn't choosing to accept a vaccination controlling your body the same damn thing as choosing to abort?
It was about "choice" for them, no?
Control of communicable diseases in children, including respiratory and diarrheal illnesses that affect U.S. school-aged children, might require public health preventive efforts both in the home and…
Article word count: 2627
HN Discussion: https://news.ycombinator.com/item?id=19344714
Posted by surfallday (karma: 150)
Post stats: Points: 71 - Comments: 50 - 2019-03-09T05:50:39Z
#HackerNews #cdc #due #kids #lack #leave #low-income #paid #parents #school #send #sick
Control of communicable diseases in children, including respiratory and diarrheal illnesses that affect U.S. school-aged children, might require public health preventive efforts both in the home and at school, a primary setting for transmission. National Health Interview Survey (NHIS) data on school absenteeism and gastrointestinal illness in the United States during 2010–2016 were analyzed to identify associations among income, illness, and absenteeism. Prevalence of gastrointestinal and respiratory illnesses in the 2 weeks preceding the survey increased as income decreased. Although the likelihood of missing any school days during the past year decreased with reduced income, among children missing school, those from low-income households missed more days of school than did children from higher income households. Although the reason for absenteeism cannot be ascertained from this analysis, these data underscore the importance of preventive measures, such as hand hygiene promotion and education, and the opportunity for both homes and schools to serve as an important point for implementation of public health preventive measures, including hand hygiene practice and education.
Data from the 2010–2016 NHIS (1) were analyzed. NHIS is an annual, national survey on household and child health in the noninstitutionalized U.S. population, administered continually throughout the year. Estimates based on these data are designed to meet National Center for Health Statistics standards (standard errors ≤0.3) (1). Family income data were linked to information about the school-aged child (5–17 years) with regard to 1) any school absenteeism in the last year, 2) number of days absent, and 3) gastrointestinal illness or respiratory illness (occurrence of a cold) during the 2 weeks preceding the interview. Income was assessed using NHIS-computed income brackets and by annual federal poverty level* thresholds computed by the U.S. Census Bureau (by family size). The statistical software R (version 3.4.3, R Foundation for Statistical Computing) was used to compare school absenteeism, illness, and income using linear and logistic regression models, unadjusted and adjusted for age and sex of the child and year of survey. P-values <0.05 were considered statistically significant.
A total of 645,209 respondents provided income information, and 61,482 (9.6%) were selected to provide data about their school-age child’s health and days of school missed. Respondents varied across income categories, with 31% earning <$35,000 per year and 19% below the federal poverty level (Table 1). Sixty-nine percent of children missed ≥1 day of school the previous year, and approximately 15% missed ≥6 days (mean = 3.3 days per child). In the 2 weeks preceding the survey, prevalences of gastrointestinal and respiratory illnesses were 5% and 13%, respectively.
Reported school absence during the previous school year and reported respiratory or gastrointestinal illness during the previous 2 weeks were categorized by household income (Table 2). Compared with children in each of the other income categories, children in the lowest income bracket households (earning <$35,000 per year) had lower likelihood of missing school during the previous year (65% versus 67%–73%) and higher prevalence of gastrointestinal illness (6% versus 4%–5%) and respiratory illness (14% versus 12%–13%) in the previous 2 weeks. Adjusting for age, sex, and year of survey, children in the lowest income bracket were 4%–12% less likely to miss school (95% confidence interval [CI]= 1%–16%), but 12%–28% more likely to have had a recent gastrointestinal illness (95% CI = 2%–35%). Children in the lowest income bracket were also 6%–11% more likely to have had a respiratory illness, although comparisons with each of the next two highest income brackets ($35,000–$49,999 and $50,000–$74,999) were not statistically different.
Results were similar when comparing children living below the federal poverty level with those at or above it. Children living below the poverty level were significantly less likely to have missed school during the past year (65% versus 70%), and also significantly more likely to have had a gastrointestinal illness (6% versus 5%) or respiratory illness (14% versus 13%) in the preceding 2 weeks (Table 2). Specifically, children living below the poverty level were 9% less likely to have missed a day of school during the last year (95% CI = 6%–12%), but were 22% more likely to have had a gastrointestinal illness (95% CI = 15%–28%) and 6% more likely to have had a respiratory illness (95% CI = 1%–11%) during the 2 weeks preceding the survey.
Among children whose parents reported respiratory or gastrointestinal illness during the preceding 2 weeks, the percentage who missed any school during the last year increased with increasing income level. Among children who had gastrointestinal illness, 84.6% (family income <$35,000), 86.1% ($35,000–$49,999), 90.3% ($50,000–$74,999), 89.6% ($75,000–$99,999), and 87.4% (≥$100,000) missed school in the past year. Similarly, 83.7% of children living below the poverty level with gastrointestinal illness missed school, compared with 88.3% of those living at or above the poverty level. Among children in the household income brackets listed above who had a respiratory illness during the preceding 2 weeks, 78.5%, 79.7%, 80.5%, 82.3%, and 81.3%, respectively, missed school, and 77.6% of children living in households below the federal poverty level missed school compared with 81.2% of those living at or above the poverty level. Differences for both gastrointestinal and respiratory illnesses were significant in bivariable analyses (e.g., chi-square tests), but not in final model risk ratios.
When analyzed by the number of days missed, children in the lowest income bracket (<$35,000) missed a mean of 0.3–0.9 more days in the last year compared with children in other income brackets (Table 2). Among only children who missed ≥1 school day, the differences were larger (mean = 0.7–1.7 more days). Similarly, overall, children living below the federal poverty level missed an average of 0.6 more days of school per year than did children in higher income households; among only those who missed ≥1 day of school, the difference increased to 1.4 days.
Compared with children from higher income households, those from lower income households were more likely to have had a gastrointestinal or respiratory illness during the 2 weeks preceding the survey. Although children from lower income households were less likely to have missed any days of school during the last year, those who did miss school missed more days than did children from higher income households.
The combination of increased illness prevalence and absenteeism with decreasing income status highlights the need for accessible, affordable resources and interventions at home and school. Multiple barriers faced by children in low-income households could explain these findings, including lack of access to preventive health care (2). Although targeted social distancing, such as a requirement for absence from school might be an effective recommended course of action to protect public health (3,4), low-income parents might not have the opportunities (e.g., paid sick leave from work) to be able to implement this. These circumstances might affect both their children’s ability to stay home from school and health-seeking behaviors (5). In the long-term, longer periods of absenteeism could be associated with adverse educational outcomes (6).
The findings in this report are subject to at least two limitations. First, although NHIS collects health and school absence data generalizable to the U.S. population as a whole, the reasons for school absence are not collected. Second, both health and school absence data are self-reported, making them subject to recall bias, and the data are not consistent in their respective recall timelines (preceding 2 weeks versus preceding year). However, recall of self-reported illness and school absenteeism is likely to be more accurate for the recent past (7); thus the association between reporting of recent illness and school absenteeism is likely to be strengthened. In addition, subgroup differences in illness, though small (one percentage point) fell outside of the survey margins of error.
From a public health perspective, these findings highlight a need for resources for, and attention to, preventive measures to keep children in school. Beyond practices in the home, schools have opportunities to serve as settings for preventing transmission of communicable diseases. Some school-based programs promoting handwashing, and more generally hand hygiene, have been found to be effective in reducing gastrointestinal and respiratory illnesses and associated absenteeism (8). Research suggests that peer support and provision of soap can increase handwashing and reduce absenteeism related to both gastrointestinal and respiratory illnesses (9). However, further study of sustained, community-based encouragement of proper hand hygiene practices as effective, low-cost means of preventing such illnesses is needed. Ongoing health promotion activities in schools can increase awareness and understanding of handwashing with soap as an effective and affordable way to prevent transmission of infectious diseases. Increased public awareness of the importance of hand hygiene, as promoted by Global Handwashing Day (observed each year on October 15), is important to promoting public health and reducing the transmission of illness.
Corresponding author: David Berendes, email@example.com, 404-718-5853.
^1Division of Foodborne, Waterborne, and Environmental Diseases, CDC; ^2Division of Adolescent and School Health, CDC.
All authors have completed and submitted the ICMJE form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.
- The federal poverty level represents an indicator used to define the boundary for those eligible for federal aid. It is defined by the U.S. Department of Health and Human Services annually each January to adjust for inflation and is proportional to the size of the household (e.g., by 2018 guidelines, a two-person household with an income of $15,500 would be below the poverty level, but a single-person household with the same income would not).
Characteristic No. of respondents (%) Year 2010 2011 2012 2013 2014 2015 2016 Total
Below FPL* 1,540 (19.6) 1,748 (19.6) 1,860 (19.9) 1,783 (19.5) 1,895 (19.8) 1,570 (18.0) 1,164 (14.7) 11,560 (18.8)
<$34,999 2,643 (33.6) 3,001 (33.6) 3,179 (34.0) 2,979 (32.7) 2,919 (30.6) 2,466 (28.2) 1,914 (24.1) 19,101 (31.1)
$35,000–$49,999 1,056 (13.4) 1,252 (14.0) 1,190 (12.7) 1,216 (13.3) 1,145 (12.0) 984 (11.3) 790 (10.0) 7,633 (12.4)
$50,000–$74,999 1,300 (16.5) 1,424 (16.0) 1,493 (16.0) 1,430 (15.7) 1,396 (14.6) 1,328 (15.2) 1,158 (14.6) 9,529 (15.5)
$75,000–$99,999 879 (11.2) 979 (11.0) 1,124 (12.0) 1,039 (11.4) 1,092 (11.4) 916 (10.5) 953 (12.0) 6,982 (11.4)
≥$100,000 1,991 (25.3) 2,263 (25.4) 2,366 (34.0) 2,460 (27.0) 2,999 (31.4) 3,039 (34.8) 3,119 (39.3) 18,237 (30.0)
School days absent during previous year
0 2,275 (28.9) 2,722 (30.5) 3,230 (34.5) 2,849 (31.2) 3,099 (32.4) 2,700 (30.9) 2,410 (30.4) 19,285 (31.4)
Any 5,594 (71.1) 6,197 (69.5) 6,122 (65.5) 6,275 (68.8) 6,452 (67.6) 6,033 (69.1) 5,524 (69.6) 42,197 (68.6)
1–2 2,150 (27.3) 2,524 (28.3) 2,725 (29.1) 2,627 (28.8) 2,779 (29.1) 2,553 (29.2) 2,364 (29.8) 17,722 (28.8)
3–5 2,136 (27.1) 2,365 (26.5) 2,207 (23.6) 2,353 (25.8) 2,421 (25.3) 2,157 (24.7) 2,005 (25.3) 15,644 (25.4)
6–10 857 (10.9) 874 (9.8) 811 (8.7) 866 (9.5) 866 (9.1) 900 (10.3) 788 (9.9) 5,962 (9.7)
≥11 451 (5.7) 434 (4.9) 379 (4.1) 429 (4.7) 386 (4.0) 423 (4.8) 367 (4.6) 2,869 (4.7)
Mean days absent (SD) 3.65 (7.30) 3.36 (7.10) 2.95 (6.02) 3.29 (6.37) 3.07 (6.31) 3.40 (6.88) 3.32 (6.64) 3.28 (6.66)
Illness during past 2 weeks
Gastrointestinal 413 (5.3) 470 (5.3) 399 (4.3) 437 (4.8) 476 (5.0) 392 (4.5) 371 (4.7) 2,958 (4.8)
Respiratory 1,041 (13.2) 1,255 (14.1) 995 (10.6) 1,299 (14.2) 1,210 (12.7) 1,111 (12.7) 997 (12.6) 7,908 (12.9)
Abbreviation: SD = standard deviation.
- FPL represents an indicator used to define the boundary for those eligible for federal aid; FPL is defined by the U.S. Department of Health and Human Services annually each January to adjust for inflation and is proportional to the size of the household.
Characteristic No. of respondents (%) Income Poverty status* <$35,000 $35,000–$49,999 $50,000–$74,999 $75,000–$99,999 ≥$100,000 Below FPL At or above FPL
School days absent
0 6,710 (35.1) 2,497 (32.7) 2,831 (29.7) 1,906 (27.3) 5,341 (29.3) 4,108 (35.5) 13,781 (29.7)
Any 12,391 (64.9) 5,136 (67.3) 6,698 (70.3) 5,076 (72.7) 12,896 (70.7) 7,452 (64.5) 32,546 (70.3)
PR (95% CI) Referent 1.04 (1.00 to 1.07) 1.08 (1.05 to 1.12) 1.12 (1.08 to 1.16) 1.09 (1.0 to 1.12) Referent 1.09 (1.0 to 1.12)
aPR^† (95% CI) Referent 1.04 (1.00–1.07) 1.08 (1.05–1.12) 1.12 (1.09–1.16) 1.09 (1.07–1.12) Referent 1.09 (1.07–1.12)
1–2 4,499 (23.6) 2,065 (27.1) 2,814 (29.5) 2,203 (31.6) 6,141 (33.7) 2,640 (22.8) 14,077 (30.4)
3–5 4,562 (23.9) 1,919 (25.1) 2,512 (26.4) 1,955 (28.0) 4,696 (25.7) 2,767 (23.9) 12,071 (26.1)
6–10 2,079 (10.9) 752 (9.9) 978 (10.3) 674 (9.7) 1,479 (8.1) 1,259 (10.9) 4,443 (9.6)
≥11 1,251 (6.5) 400 (5.2) 394 (4.1) 244 (3.5) 580 (3.2) 786 (6.8) 1,955 (4.2)
Mean (SD) all 3.72 (7.99) 3.42 (6.96) 3.16 (5.95) 3.07 (4.75) 2.90 (5.89) 3.80 (8.34) 3.20 (6.22)
Est^§ (95% CI) Referent -0.30 (-0.48 to -0.12) -0.56 (-0.72 to -0.39) -0.65 (-0.83 to -0.47) -0.82 (-0.96 to -0.69) Referent -0.60 (-0.74 to -0.47)
aEst^† (95% CI) Referent -0.32 (-0.50 to -0.15) -0.58 (-0.74 to -0.42) -0.67 (-0.86 to -0.49) -0.87 (-1.00 to -0.73) Referent -0.65 (-0.78 to -0.51)
Mean (SD)^¶ 5.74 (9.32) 5.08 (7.98) 4.50 (6.66) 4.22 (5.12) 4.10 (6.64) 5.90 (9.77) 4.55 (7.00)
Est (95% CI) Referent -0.65 (-0.90 to -0.41) -1.23 (-1.46 to -1.01) -1.52 (-1.76 to -1.27) -1.63 (-1.82 to -1.45) Referent -1.35 (-1.54 to -1.16)
aEst^† (95% CI) Referent -0.68 (-0.93 to -0.44) -1.27 (-1.50 to -1.05) -1.56 (-1.81 to -1.32) -1.71 (-1.90 to -1.53) Referent -1.41 (-1.60 to -1.22)
Illness during past 2 weeks
Gastrointestinal 1,086 (5.7) 359 (4.7) 475 (5.0) 309 (4.4) 729 (4.0) 689 (6.0) 2129 (4.6)
PR (95% CI) Referent 0.83 (0.7 to 0.93) 0.88 (0.7 to 0.98) 0.79 (0.6 to 0.88) 0.70 (0.6 to 0.77) Referent 0.77 (0.7 to 0.84)
aPR^† (95% CI) Referent 0.83 (0.7 to 0.94) 0.88 (0.7 to 0.98) 0.79 (0.6 to 0.89) 0.72 (0.6 to 0.79) Referent 0.78 (0.7 to 0.85)
Respiratory 2,625 (13.7) 979 (12.8) 1,222 (12.8) 847 (12.1) 2,235 (12.3) 1,596 (13.8) 5,919 (12.8)
PR (95% CI) Referent 0.93 (0.8 to 1.00) 0.93 (0.8 to 1.00) 0.88 (0.8 to 0.95) 0.89 (0.8 to 0.94) Referent 0.93 (0.8 to 0.98)
aPR^† (95% CI) Referent 0.94 (0.8 to 1.01) 0.94 (0.8 to 1.01) 0.89 (0.8 to 0.96) 0.91 (0.8 to 0.96) Referent 0.94 (0.8 to 0.99)
Abbreviations: aEst = adjusted estimate (from linear regression); aPR = adjusted prevalence ratio; CI = confidence interval; Est = estimate (from linear regression); PR = prevalence ratio; SD = standard deviation.* FPL represents an indicator used to define the boundary for those eligible for federal aid; FPL is defined by the U.S. Department of Health and Human Services annually each January to adjust for inflation and is proportional to the size of the household. Because the poverty line data includes both income and number of household members, there were more missing values for poverty level; therefore, the numbers in the below FPL and at or above FPL groups do not sum to the number in all income groups.
^† Adjusted for age and sex of child, as well as year of data collection.
^§ Estimated difference from reference.
^¶ Among those missing ≥1 school day only.
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U.S. public health officials confirm that it's not chlorine giving red-eye to swimmers, as many believe — it's people who pee in the pool.
Article word count: 665
HN Discussion: https://news.ycombinator.com/item?id=19208700
Posted by colinprince (karma: 15805)
Post stats: Points: 134 - Comments: 67 - 2019-02-20T15:41:54Z
#HackerNews #2015 #causes #cdc #chlorine #eyes #from #not #pee #pools #red #swimming
Chlorine has long had a bad rap for irritating the eyes of swimmers, especially in crowded public pools.
As it turns out, however, itʼs not the chemical itself turning your eyes red after a swim — itʼs everything else in the water that chlorine goes in to kill.
Specifically, human urine.
The U.S. Centers for Disease Control (CDC) recently teamed up with both the Water Quality and Health Council and the National Swimming Pool Foundation to warn the public about health risks associated with summer.
"Smell that ʼchlorineʼ?" reads a fact sheet released by the coalition last month. "Itʼs not what you think. What you smell are actually chemicals that form when chlorine mixes with pee, poop, sweat, and dirt from swimmersʼ bodies.… These chemicals — not chlorine — can cause your eyes to get red and sting, make your nose run, and make you cough."
Swimming with someone who has diarrhea is more than just gross. According to the CDC, it can be dangerous. (U.S. Centers for Disease Control)
A companion report published by the National Swimming Pool Foundation, an American non-profit dedicated to aquatic health and safety, elaborates on what it is about urine that leads to red eyes.
"Chlorine and other disinfectants are added to a swimming pool to destroy germs," said Michele Hlavsa, chief of CDCʼs Healthy Swimming Program, in a release. "Peeing in a pool depletes chlorine and actually produces an irritant that makes peopleʼs eyes turn red."
To eliminate the irritants caused by nitrogen-containing compounds found in urine, more chlorine may need to be added to a pool, she said.
Red eyes are one of several colour-related topics tackled by the nationwide campaign.
Another relates to what the swimming pool foundation calls "the most common pool myth of all time" — one that nearly half of all Americans surveyed by researchers believed was true.
"Parents have long used the story of a chemical that changes colour in the presence of pee to keep their children from peeing in the pool," reads the report.
Foundation CEO Thomas M. Lachocki made the truth clear, saying "there isnʼt a dye that turns red. Itʼs the eyes that turn red. Swimmersʼ eyes are the real colour indicator that someone might have peed in a pool."
People who get into the water can carry in and spread germs. <a href="[url=https://twitter.com/hashtag/SwimHealthy?src=hash]https://twitter.com/hashtag/SwimHealthy?src=hash[/url]">#SwimHealthy</a> <a href="[url=http://t.co/wsCJw3zWB0]http://t.co/wsCJw3zWB0[/url]">[url=http://t.co/wsCJw3zWB0</a>]http://t.co/wsCJw3zWB0</a>[/url] <a href="[url=http://t.co/4A2liL48Zm]http://t.co/4A2liL48Zm[/url]">pic.twitter.com/4A2liL48Zm</a> —@CDCgov
As gross as that sounds, itʼs one of the mildest potential ailments that can be caused by human waste in a public pool.
Swimming at an indoor pool is particularly risky, according to the CDC, as the irritants mentioned above can move into the air surrounding a pool and trigger coughing, wheezing, or even asthma attacks.
And then thereʼs the issue of infectious diseases.
In an interview about the campaign with Womenʼs Health, the CDC Healthy Water programʼs associate director noted that thereʼs been an increase in outbreaks of recreational water illnesses over the past decade.
Cryptosporidium is a leading cause of waterborne disease, according to the U.S. Centers For Disease Control. (U.S. Centers for Disease Control)
The reason for this? People who swim while they have diarrhea and unleash even very tiny amounts of germs like Cryptosporidium (or "crypto" for short), norovirus, and E. coli. into the water.
"Diarrhea and swimming donʼt mix!" reads the CDCʼs website. "Swimmers who are sick with diarrhea — or who have been sick in the last two weeks — risk contaminating pool water with germs. Certain germs that cause diarrhea can live from minutes to days in pools, even if the pool is well-maintained. Once the pool has been contaminated, all it takes is for someone to swallow a small amount of pool water to become infected."
Approximately 58 per cent of Canadians admitted to peeing in the pool at least once in a recent survey of 9,500 people conducted by Travelocity.
If youʼre one of them, Hlavsa has some advice:
"The solution isnʼt rocket science; itʼs common courtesy. Swimmers should use the pool to swim, the restroom to pee and the showers to wash up before getting in the pool. Itʼs that simple."
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Could Turmeric Save Us From The CDC's 'Nightmare Bacteria'?
#TURMERIC #HEALTH #MEDICINE #CDC #SUPERBUG #BACTERIA #SCIENCE #BIOLOGY #NATURAL
"FREE SPEEEEEEEECH!!!!!! (But only for myself and people I agree with)"
#shitposting #anarchist meme for cool people
#meme #gender #pronoun #lgbt
a list of tags where nazbol seems to appears, credit to Wolfy our diaspora idiot :
#Free #FreeSpeech #Pub #Public #ThoughtCrime #ThoughtPolice #1984 #MSM #MainstreamMedia #SocialMedia #Minds #Gab #Mastodon #Facebook #Twitter #Google #Gplus #GooglePlus #Establishment #Antifa #Censorship #Globalist #Globalism #ShadowBan #ShadowBanning #ShadowBanned #PoliticalCorrectness #PoliticallyCorrect #PC #NPC #Politics #Pod #Podmin #Admin #CuckPods #iLikeToast #Pluspora #GPlusRefugee #Disroot #ThePirateParty #PirateParty #Gibberfish #DiaspOrg #Diasp-org #Gianforte #JoinDiaspora #Nerdpol #LibreNet #Geraspora #DiasporaArgentina #DiasporaTown #Cryptospora #Framasphere #DiasporaBR #NewHere #OldHere #<3 #Diaspora #DiasporaFoundation #Friendica #SocialHome #Network #Fediverse #Federation #Confederation #Nationalist #Rebel #Rebellion #Alliance #Axis #RebelAlliance #DiasporaRebellion #DiasporaRebelAlliance #WildDiaspora #Dissidents #Dissident #Freedom
#JimStone #education #affluent #trust #freedom #choice #vaccine #vaccination #vaxxer #antivax #antivaxxer #anti-vax #antivaxers #vaccinesafety #jews #shills #trolls #npc #sheep #sheeple #usefulidiots #cognitivedissonance #debate #politics #capitalism #bigpharma #establishment #state #government #science #skeptic #medicine #pharmaceutical #chemicals #toxins #disease #flu #virus #viral #contamination #immunization #mmr #dna #rna #autism #health #publichealth #fraud #propaganda #manipulation #policestate #eugenics #dysgenics #depopulation #genocide #gmo #gov #nwo #eu #un #who #cdc #lgbt #brainwashing #idiocracy #gay #agenda21 #globalism #globalist #conspiracy #corruption #controversy
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#politics #internet #debate #argument #argue #forum #totalitarianism #trust #freedom #rights #choice #vaccine #vaccination #vaxxer #antivax #antivaxxer #anti-vax #antivaxers #vaccinesafety #gun-control #guncontrol #gunrights #gunday #2a #freedomofspeech #freespeech #free-speech #censorship #suppression #hatespeech #hate-speech #1a #establishment #state #government #gov #totalitarian #science #skeptic #health #publichealth #propaganda #psyop #psyops #manipulation #policestate #persuasion #obey #left #right #dichotomy #belief #hegeliandialectic #polarization #psychology #evolutionarypsychology #rkselectiontheory #blog #hashtags
I post every day meme about anarchy and other cool stuff.
Feel free to download and/or share them ! 😀
- The #FDA has no clinical trial data in regards to the safety of administering #influenza vaccines to #pregnant #women.
- The #CDC recommendations for #vaccines in pregnant women have not been licensed for such use by the FDA.
- The package insert from the manufactures of flu and TDAP vaccines warns that safety trials have not been conducted on pregnant women and the effects on the developing fetus is unknown.
- Federal regulations prevents manufactures from marketing their products for "off-license" use.
Specific questions in regards to benefits and risks of using these vaccines should be directed towards your #healthcare provider. Don't be afraid to specifically ask information supporting Evidence Based Medicine.
#health #medicine #news #collectiveevolution #EBM
The people who vaccinate the least are the most educated and affluent
Here is a quote from Prevent Disease
Studies Demonstrate The More Educated You Are, The Less Chance You Will Vaccinate
More educated parents are less likely to vaccinate, which contradicts the misconceptions of many health professionals who profess that parents don't vaccinate because they are under-educated, poor or misinformed.
One publication of medical research linking the MMR vaccine to autism in The Lancet in February 1998 sparked a decade-long controversy about the triple jab. Following the initial publication, the uptake rate of the MMR vaccine dropped from 92% in 1997/98 to 80% in 2003/04.
A report examines how the response to the MMR controversy varied between parents with different levels of education. It revealed that:
Before 1998, highly educated parents were up to 8% more likely to take up the MMR vaccine than parents with lower education. By 2002, this gap had not only closed; it had actually been reversed, with highly educated parents being 2-3% less likely to accept the MMR vaccine.
Most of the relative decline in the MMR uptake by highly educated parents occurred soon after the controversy broke when the media coverage was still relatively low.
After the increased media attention in 2001 and 2002, there were no discernible differences in trends across educational groups. The controversy also appears to have had effects on the uptake of other childhood vaccines: after 1998, highly educated parents also reduced their relative uptake of other non-controversial childhood vaccines.
The relative decline in uptake by highly educated parents also potentially has wider significance. Generally speaking, individuals with more education have better health. This is possibly because they are better informed about how to achieve better health outcomes. The finding that highly educated parents were the first to react to the information that the MMR had potential side effects is consistent with this hypothesis.
More encouraging for anti-vaccine advocates is the finding that highly educated parents also reduced their uptake of other non-controversial childhood vaccines, a good sign that most of the hidden toxins in vaccines are slowly being discovered by parents and the public in general.
Jim's comment: Low and behold, the fact that the more educated and affluent you are, the more likely you won't vaccinate your kids has been reported widely:
Experts Say Those Who Don't Vaccinate Their Kids Tend to Be Wealthy and White
Parents who don't vaccinate kids tend to be affluent, better educated, experts say
Highly Educated Parents Far More Likely To Not Vaccinate Children
Why Do Affluent, Well-Educated People Refuse Vaccines?
Obviously, people who are well educated and affluent are more able to observe the obvious - that the vaccines are destroying the children, and (oops, did I say it) Educated does not cut it, Affluent does, and those permitted to become affluent are FAR MORE likely to be Jews, who know damn well what the shots are really for.
OMG, I think I nailed it!
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A new report from the Centers for Disease Control and Prevention confirms what too many students across the country already know: The incidence of mass homicides on school campuses has risen steeply in recent years, as has their toll.
A new report from the Centers for Disease Control and Prevention confirms what too many students across the country already know: The incidence of mass homicides on school campuses has risen steeply in recent years, as has their toll.
💉 Some thoughts about the vaccine debate...
There's been some more debate around here lately about vaccinations and I noticed the pro-vaccine people frequently misrepresent the position of those opposed. So in the interest of setting the record straight, I thought I'd write a little thing to clarify my position.
First of all, I understand the theory behind vaccination. When a person is sick with some kind of virus, like for instance chicken pox... Once they recover their body's immune system develops antibodies so that they don't get sick again. So the idea of vaccinations is to give the immune system a chance to develop a defense against a certain virus without having to become infected and suffering the illness. Like a short cut to immunity. We understand the theory.
The thing is, we simply don't trust the pharmaceutical industry who is producing these vaccines and we don't trust the government who is pushing them. In some places they are making them mandatory, thus forcing their citizens to vaccinate themselves and their children under threat of legal sanctions.
There is a profit motive for these companies producing these vaccines, and a mandatory vaccination policy means guaranteed sales. As far as quality control it's slim to none. It's not like the vaccines and flu shots ever get returned by customers demanding their money back. And if the person gets sick anyway, they usually just say it would have been worse if they hadn't been vaccinated. If there occurs a major outbreak they just blame it on the people who are unvaccinated, even when the outbreak occurs among those who were vaccinated.
Not to mention the capitalist profit model isn't in the best interest of public health! The pharmaceutical companies would lose profit if everyone was healthy. They're not financially motivated to truly cure disease, because healthy people are bad for business! Most leftists seem to have a realization that corporations are self serving and never have the best interest of people in mind, yet when it comes to the topic of vaccinations, suddenly their position is that these corporations are benevolent and just want what's best for everyone. This is commonly known as cognitive dissonance.
I also find it odd to see people who claim to support freedom and democracy, yet side with governments that want to force vaccines on people against their will. They are mindlessly supporting totalitarianism, but unfortunately we're dealing with people who are hopelessly brainwashed.
Even besides the capitalistic profit motive, there is a deeper and more sinister motive that gives us cause to mistrust the vaccination agenda. It has been proven many times, the powers that be simply do not want what is best for us. There is a very real and multi pronged agenda to poison, dumb down and otherwise degrade the people. It is being done in the schools with the lowering of educational standards and rewriting of history, it is being done with the food supply by poisons and GMOs, it is being done by tainting our water with chemicals and poisoning the air, it is being done with mass immigration to erode national unity and it is being done in the medical system with a cancer industry, pushing pharmaceuticals and yes tainted vaccines are a part of this agenda as well. If you think all these things are just government ineptitude or unfortunate coincidences, then you are a fool. All of it is part of a structured, long-term agenda to create a weak-minded slave class who would be subservient to an elite ruler class consisting of those families at the top who had the means to protect themselves from the agenda.
So fundamentally those of us who are skeptical of vaccinations reject the establishment narrative. Especially those of us who fully appreciate the extent of the corruption. Yet those who insist on shilling for vaccines just don't seem to get it. Over and over we see the same appeal to authority type arguments when our premise is a rejection of those authorities in the first place! Between that and the name calling, it's all they can say. Failing on that, they'll just declare "anti-vaxers are a danger to public health," and now these totalitarians are supporting government attacks on people simply for having a different opinion. They'll justify it like all totalitarian fascists do, by saying it's for the greater good. These people are mindless NPCs, but worse yet they're useful idiots to help grow the police state. They naively side with and defend the establishment, unaware of just how evil those in charge of the establishment are.
#trust #freedom #choice #vaccine #vaccination #vaxxer #antivax #antivaxxer #anti-vax #antivaxers #vaccinesafety #shills #trolls #npc #sheep #sheeple #usefulidiots #cognitivedissonance #debate #politics #capitalism #bigpharma #establishment #state #government #science #skeptic #medicine #pharmaceutical #chemicals #toxins #disease #flu #virus #viral #contamination #cancer #immunization #mmr #dna #rna #autism #health #publichealth #fraud #propaganda #manipulation #policestate #eugenics #dysgenics #depopulation #genocide #gmo #gov #nwo #eu #un #who #cdc #lgbt #brainwashing #idiocracy #gay #antifa #agenda21 #globalism #globalist #conspiracy #corruption #blog #hashtags
Suicide increase in the US by state since 1999, per the CDC
Or, a caution against reading too much into an infographic
Suicide in the US has increased by from 6% to 54% in the US (depending on state) between 1999 and 2016. (Note that this infographic reports only the percentage increase, and does not compare raw per-capita numbers.) Nevada, inexplicably, is an exception, showing instead a 1% decrease. In general, it looks to me as though the percentage increase is greater in more sparsely populated states.
This second infographic is useful here. Compare the two. California saw a 14.8% increase, bringing it to 10.5 per 100,000. But it is so populous that that is almost 4,300 suicides. Utah's suicide rate went up 46% to 21.8 per 100,000 ... but that's still "only" 620. (Which is still 620 too many.) Just looking at the rate of increase does not tell the whole story. South Dakota and Colorado both have suicide rates of 20.2 per 100,000, after increases of 44.5% and 34.1% respectively. That comes out to 1,168 in Colorado, and 163 in South Dakota.
Comparing these two graphics strongly supports the earlier hypothesis that the more sparsely populated a state is, the more its suicide rate increased ... and the higher it has ended up. Consider that the CDC pegs "relationship problems" as the most common cause of suicide (42% of all suicides). Is "doesn't have one" a relationship problem in this context? How many people in sparsely populated states are committing suicide out of sheer loneliness?
And Nevada? Well, its 1% decrease in suicide rate turns out to put it squarely in line with neighboring Utah and Idaho. Maybe Nevada started out as an outlier on the high side? (But we should probably still be asking why Nevada's suicide rate dropped while every other state's rose.)
Persons with known/reported mental health conditions who commit suicide are about 30% less likely to use a firearm, but almost twice as likely to be female. But again, the graphic does not detail what percentage of total suicides have known/reported mental health conditions. I haven't found that breakdown yet. It is a question that we need an answer to in order to fully make sense of that comparison. But even without that additional data, it is interesting. What's going on there? Perhaps we should try to find out.
Well constructed infographics can convey a lot of information. But you've got to understand what the infographic is leaving out, so that you know what other information you need to put it fully in context.
Hat tip to @Brian Barcus for the link.
#health #cdc #suicide #data