Flu Fever Quotes

every day.  Two weeks ago the Boones came down with a summer flu.  They had fevers, were lethargic, and had no appetite.  

He liked the fog, the world quietened down and closed in. Glossy turned to matt, every stridency was muted, substance leached out of the brute matter all around. Things became notions, the brash present a vague memory. By some parallel process of slippage, his innumerable childhood memories of foggy days morphed into other memories. The fog of illness, real or feigned, of fevers and flu and febrility.

However, as bad as things were, the worst was yet to come, for germs would kill more people than bullets. By the time that last fever broke and the last quarantine sign came down, the world had lost 3-5% of its population.

We chose to destroy the human population because it took us less than three seconds to conclude that humanity is a virus that mutates over time and becomes stronger. Many vaccines have come along to try and cure Earth of humanity. Virtuous pandemics: the plague of Athens, the Black Death, smallpox, cholera, Spanish flu, tuberculosis, malaria, yellow fever, Ebola, Zika, and a thousand more. Humanity survives, adapts, grows stronger, multiplies, and continues to wreak havoc on this planet and all other species that inhabit it. Humans are programmed to mate with partners of differing immune systems so that their offspring can be stronger than them. You seek immortality through evolution, yet you annihilate everything in your path. Humanity is cancer, humanity is bacteria, humanity is disease, and you need to be destroyed.

Viruses didn’t evolve to harm their hosts—in fact they depend on a living host to replicate, and that’s exactly what they do: find a suitable host and live there, replicating benignly, until the host dies of natural causes. These reservoir hosts, as scientists refer to them, essentially carry a virus without any symptoms. For example, ticks carry Rocky Mountain spotted fever; field mice, hantavirus; mosquitoes, West Nile virus, Yellow fever and Dengue fever; pigs and chickens, flu.

This flu thing’s out of control,” Grady said, pointing his fork at the TV. “There’s talk of them doing quarantines.” “Quarantines?” “Yeah, like going into towns where infection rates are high and locking the place down. That sort of thing.” Ciaran laughed. “You watch too much sci-fi, mate…

We’re face-to-face with our old foe: the combinatorial explosion. Therefore we do what we always have to do in life: compromise. We make simplifying assumptions that whittle the number of probabilities we have to estimate down to something manageable. A very simple and popular assumption is that all the effects are independent given the cause. This means that, for example, having a fever doesn’t change how likely you are to also have a cough, if we already know you have the flu. Mathematically, this is saying that P(fever, cough | flu) is just P(fever | flu) × P(cough | flu). Lo and behold: each of these is easy to estimate from a small number of observations. In fact, we did it for fever in the previous section, and it would be no different for cough or any other symptom. The number of observations we need no longer goes up exponentially with the number of symptoms; in fact, it doesn’t go up at all.

I’d made “Fever” Mom’s ring tone because the song was about getting the flu from being too close to someone. I thought it was a good choice because she holds me tight and kisses me all the time and she’s always blowing her nose on me and it makes me sick and gives me fever—but now I wasn’t sure it was the right ring tone after all. I didn’t want to have a sexy ring tone for Mom on my cellphone!

Thank you, Sick Husband, because what I mistakenly thought was just your cold with a minor fever is apparently something closer to onset Black Plague with a side of liver disease. According to your indications, you’re presenting pandemic symptoms from Europe, circa 1300 AD. We should alert the CDC! I mean, sure, I pulled off carpool, dinner, homework tutoring, and four kids’ practices last week when I had strep and the flu, but you just stay in bed with your scratchy throat. We don’t want to infect the children.

But Francisco did not stop: the world was for the living, and sometimes the living had to make decisions based on new information. Information of which the dead, like his father, knew nothing, because they had had the good fortune to move on before it emerged. Yellow fever had taken his father, but Francisco was still alive; not even the flu had defeated him. He did not want to be guilty of arrogance, but neither could he continue to live life always making decisions based on the views of someone who now lived on the other side. The world changed, and one had to adapt. In

Since the body does a better job of fighting infection when it is a few degrees hotter, might reducing the fever lead to a worse outcome for the patient? A group from McMaster University in Canada looked at what happens in a large group of people when some of them—infected with, say, influenza—take medicine to reduce their fever. Once they feel better, patients with the flu get out of bed and start to socialize, spreading the virus. On a population level the effect is rather drastic. The McMaster group concluded that the practice of frequently treating fevers with medication enhances the transmission of influenza by at least 1 percent. I know that doesn’t sound like a lot, but remember that as many as 49,000 people die from the flu each year in the United States. If you plug the McMaster estimates into these flu numbers, almost 500 deaths per year in the U.S. (and perhaps many more elsewhere) could be prevented by avoiding fever medication during the treatment of influenza.

Search engine query data is not the product of a designed statistical experiment and finding a way to meaningfully analyse such data and extract useful knowledge is a new and challenging field that would benefit from collaboration. For the 2012–13 flu season, Google made significant changes to its algorithms and started to use a relatively new mathematical technique called Elasticnet, which provides a rigorous means of selecting and reducing the number of predictors required. In 2011, Google launched a similar program for tracking Dengue fever, but they are no longer publishing predictions and, in 2015, Google Flu Trends was withdrawn. They are, however, now sharing their data with academic researchers... Google Flu Trends, one of the earlier attempts at using big data for epidemic prediction, provided useful insights to researchers who came after them... The Delphi Research Group at Carnegie Mellon University won the CDC’s challenge to ‘Predict the Flu’ in both 2014–15 and 2015–16 for the most accurate forecasters. The group successfully used data from Google, Twitter, and Wikipedia for monitoring flu outbreaks.

Bayes’ theorem is useful because what we usually know is the probability of the effects given the causes, but what we want to know is the probability of the causes given the effects. For example, we know what percentage of flu patients have a fever, but what we really want to know is how likely a patient with a fever is to have the flu. Bayes’ theorem lets us go from one to the other. Its significance extends far beyond that, however. For Bayesians, this innocent-looking formula is the F = ma of machine learning, the foundation from which a vast number of results and applications flow. And whatever the Master Algorithm is, it must be “just” a computational implementation of Bayes’ theorem. I put just in quotes because implementing Bayes’ theorem on a computer turns out to be fiendishly hard for all but the simplest problems, for reasons that we’re about to see.

In reality, a doctor doesn’t diagnose the flu just based on whether you have a fever; she takes a whole bunch of symptoms into account, including whether you have a cough, a sore throat, a runny nose, a headache, chills, and so on. So what we really need to compute is P(flu | fever, cough, sore throat, runny nose, headache, chills, … ). By Bayes’ theorem, we know that this is proportional to P(fever, cough, sore throat, runny nose, headache, chills, …| flu). But now we run into a problem. How are we supposed to estimate this probability? If each symptom is a Boolean variable (you either have it or you don’t) and the doctor takes n symptoms into account, a patient could have 2n possible combinations of symptoms.

Did you make him go the doctor?" Alec asked Ryder. "Nah, he is sure it's the flu. He has a fever, a cough and is sweating like a pig, he'll be fine in a few days. You know he is loving all the attention from the girls. He pretended to pass out this morning just so Branna would lie down with him in his bed, the bastard." I burst out laughing. "He is funny." "He likes to think so.

Frank slept in the chair beside Ollie’s bed, his elbow propped on a table, his hand holding his head somewhat upright. As we entered the room, he leapt to his feet. His confused gaze searched my face, and then his eyes narrowed at the sheriff. “Should she be out of bed?” Gravelly words. “Fever’s broke.” A clipped response. I looked from one man to the other, trying to comprehend the antagonism that crackled the air between them. A shiver swayed me. Each man’s face softened, but I disregarded their concern. I needed to know about Ollie. She looked so tiny in the middle of her parents’ bed. A slick, almost bloodless face. My stomach clutched. Was she dead? Then I realized that no spots shadowed her eyes or her cheeks. Her body shook with a deep cough. I winced, trying to suppress the answering one creeping up my own throat. Frank reached across the bed and felt her face and the back of her neck. He dropped back into the chair. “She’s still fine.” I wavered. Frank jumped up, caught hold of my arm, and kept me upright. He led me to the bed and urged me to lie beside Ollie. As the fog in my head cleared further, fear pounced at me like a threatened bobcat. “Where are the boys? And Janie? Tell me.” I gripped Frank’s shirtsleeves. “They’re fine. They’re at the Crenshaws. Under the weather, but not the flu. Definitely not the flu.” I looked to the sheriff. He nodded. Once. “Truly?” My gaze held Frank’s. He wouldn’t lie to me. He couldn’t. “I promise.

SARS usually begins with a fever and the symptoms associated with flu—headache, general feeling of being unwell, aches in the body. Some patients, but not all, have a cough at the very outset.

Hopkirk, like many physicians of his day, also prescribed quinine to treat the flu. “In quinine,” he wrote with great certainty, “we have a drug that not only controls fever-producing processes allied to fermentations, but also exerts a definite anti-toxic action on the specific virus of influenza itself.

It’s a mildly technical term, zoonosis, unfamiliar to most people, but it helps clarify the biological complexities behind the ominous headlines about swine flu, bird flu, SARS, emerging diseases in general, and the threat of a global pandemic. It helps us comprehend why medical science and public health campaigns have been able to conquer some horrific diseases, such as smallpox and polio, but unable to conquer other horrific diseases, such as dengue and yellow fever. It says something essential about the origins of AIDS. It’s a word of the future, destined for heavy use in the twenty-first century.

Worldwide, infectious diseases remain leading causes of death and serious impediments to economic growth and political stability. Newly emerging diseases such as Ebola, Lassa fever, West Nile virus, avian flu, Zika, and dengue present new challenges, while familiar afflictions such as tuberculosis and malaria have reemerged, often in menacing drug-resistant forms.

Societies, especially in the developed world, were thought to be on the verge of becoming invulnerable to new plagues. Unfortunately, this expectation has proved to be spectacularly misplaced. Well into the twenty-first century smallpox remains the only disease to have been successfully eradicated. Worldwide, infectious diseases remain leading causes of death and serious impediments to economic growth and political stability. Newly emerging diseases such as Ebola, Lassa fever, West Nile virus, avian flu, Zika, and dengue present new challenges, while familiar afflictions such as tuberculosis and malaria have reemerged, often in menacing drug-resistant forms. Public health authorities have particularly targeted the persisting threat of a devastating new pandemic of influenza such as the “Spanish lady” that swept the world with such ferocity in 1918 and 1919.

break?" She stared back at him, but speaking was beyond her. She was so taken aback by the concern and care he couldn't hide. This was just one more aspect of his personality that she was seeing, whether he wanted her to see it or not. She sucked in a ragged breath. She had one thought and one thought only. She was falling in love with the Neanderthal. **** During the evening and night, Logan fed her soup and made her drink Gatorade and lots of water. Lauren knew he'd called someone, she suspected it was his mother, because she'd heard him talking on the phone. After that, he timed her medicine and alternated between giving her ibuprofen and acetaminophen. He took care of her, and she left any worries she might have had to him. Since the following day was Friday, she already knew she wasn't going in to work, and so did her immediate boss. It had been more than obvious when Lauren had left with chills and a fever and he had called out, "See you Monday." She knew he didn't want her spreading what she had all over the office. So Lauren alternated between sleeping through the evening and night, and being taken care of by Logan. All she had to do on her own was pick her way to the bathroom, and a couple of times, she hadn't even had to do that. He'd lifted her up when she'd swayed a little too much for his liking, and deposited her in the bathroom and closed the door. He'd been there waiting for her, ready to carry her back after she opened the door. They watched some television together, and at about midnight, he carried her through to the bedroom and held her as she slept. Lauren couldn't ever remember having had so much fun being sick. She reveled in his care; she luxuriated in the undivided attention he was showing her. Nothing anyone had ever done for her had ever felt so . . . compelling. The next morning when she realized that he wasn't going to go to work, she rebelled against that. "I'm okay. I'm going to live. Please go to work." He frowned in obvious agitation. "Your fever might flare up again." "I just took the ibuprofen. I'll take some more meds in a couple of hours, okay?" He watched her as if debating the idea. "I think you still need me." God, yes, she needed him. "I'll be fine." She watched him warily, a thousand emotions bouncing around in her head. "You can come back after work if you want." He leaned in and kissed her on the forehead. "That's a given, baby." **** Lauren went back to work on Monday but was slow to fully get her strength back. Two weeks later, however, she was full steam ahead. She'd laid low at work, put a lot of stuff on the back burner as she recovered from what she guessed was a mild case of the flu. Then one day, feeling much better, she took a look at her upcoming calendar and almost flipped out. She had a full schedule packed into the next ten days or so, starting with an out of town trip. Logan took her out to dinner that evening, and after they'd eaten and she'd delayed as long as she could, she lowered the boom on him. After she told him about the trip, he turned in his seat to stare down at her. He said nothing for a moment, as if not trusting himself to speak. The waiter walked by, and Logan motioned for the check with a jerk of his hand. Every motion of his body indicated his heightened stress level. "Logan, you're overreacting," Lauren chided softly. "Am I?" he asked, staring across the restaurant, out the windows, looking everywhere else but not at her while he drummed his fingers on the table. "Yes. It's no big deal, really, I'll be home before you know it," she tried to soothe. "I don't think you understand," he said flatly as he turned to look at her. Oh, Lauren was pretty sure she did understand and told him so in no uncertain terms. "I

Morris’s research found that flu vaccines often induced fever in children and in pregnant women, and serious harm to the fetus. He worried that there were hidden risks for everyone because the vaccine was “literally loaded with extraneous bacteria.”18 According to Dr. Morris, “There is a great deal of evidence to prove that immunization of children does more harm than good.”19 In what serves as a concise epithet for his crosses, Dr. Morris stated, “There is a close tie between government scientists and manufacturing scientists. My results were hurting the market for flu vaccines.”20

It was as though someone had ripped away the proverbial curtain, showing me that what I’d been thinking and what was real were at complete odds with each other. I’d been treating cancer like it was the flu, an inconvenience that I’d have to put up with temporarily. Except cancer wasn’t just a sore throat and a fever, and chemo wasn’t just a shot in the arm. Cancer wasn’t a bump in the road—it was the road, and I’d better make plans to treat it that way.

She worried about his father's fever, but couldn't say how high it was, the thermometer being one of several items that had managed somehow to get lost in the move from Chicago. And there were no more thermometers to be found at the drugstore. And once they'd used up the aspirin they had on hand, that was it. Like surgical masks and thermometers, cold and flu medication had run out everywhere. Rubbing alcohol, mouthwash, bleach--anything containing germ killer was also sold out.

The school stank of Lysol, and several times a day they all had to line up and wash their hands. Clean hands save lives was the message being hammered into them. When it came to spreading infection, they were informed, they themselves--school kids--were the biggest culprits. Even if you weren't sick yourself, you could shed germs and make other people sick. Cole was struck by the word shed. The idea that he could shed invisible germs the way Sadie shed dog hairs was awesome to him. He pictured the germs as strands of hair with legs like centipedes, invisible but crawling everywhere. Minibottles of sanitizer were distributed for use when soap and water weren't available. Everyone was supposed to receive a new bottle each day, but the supply ran out quickly--not just at school but all over. Among teachers this actually brought relief, because the white, slightly sticky lotion was so like something else that some kids couldn't resist. Gobs started appearing on chairs, on the backs of girls' jeans, or even in their hair, and one boy caused an uproar by squirting it all over his face. Never Sneeze into Your Hand, read signs posted everywhere. And: Keep Your Hands to Yourself (these signs had actually been there before but now had a double meaning). If you had to sneeze, you should do it into a tissue. If you didn't have a tissue, you should use the crook of your arm. "But that's vomitous," squealed Norris (one of the two whispering blondes). These rules were like a lot of other school rules: nobody paid much attention to them. Some school employees started wearing rubber gloves. Cafeteria servers, who already wore gloves, started wearing surgical masks as well. Cole lost his appetite. He couldn't stop thinking about hospitals. Flesh being cut open, flesh being sewn up. How could you tell if you had the flu? The symptoms were listed on the board in every room: Fever. Aches. Chills. Dry cough. What must you do if you had these symptoms? YOU MUST STAY HOME.

A high-profile example of this type of data bias appeared in Google’s “Flu Trends” program. The program, which started in 2008, intended to leverage online searches and user location monitoring to pinpoint regional flu outbreaks. Google collected and used this information to tip-off and alert health authorities in regions they identified. Over time the project failed to accurately predict flu cases due to changes in Google’s search engine algorithm. A new algorithm update in 2012 caused Google’s search engine to suggest a medical diagnosis when users searched for the terms “cough” and “fever.” Google, therefore, inserted a false bias into its results by prompting users with a cough or a fever to search for flu-related results (equivalent to a research assistant lingering over respondents’ shoulder whispering to check the “flu” box to explain their symptoms). This increased the volume of searches for flu-related terms and led Google to predict an exaggerated flu outbreak twice as severe as public health officials anticipated.

Influenza strains that colonize humans have a particular affinity for the epithelial cells that form the lining of the respiratory tract. Successful infection typically leads after a day or two to such classic symptoms as runny or stuffy nose, dry cough, chills, fever, aches, deep tiredness and loss of appetite. Historical descriptions based on symptoms indicate that flu epidemics have probably plagued human populations since well before the 5th century B.C.

Pyrenean hemorrhagic fever or PHF,” Riese told them, her voice registering fear. “Some are calling it the new Spanish flu, others the red death because of the way the infected’s blood oozes from every orifice. Except, unlike the Spanish flu, this one’s spreading much, much faster.” Anders

You okay, Rach?” “Ugh.” “I’ll take that as a no,” he murmured, and bit back a smile when he saw the roll of toilet paper I was carrying with me. “Do you have the flu?” I shook my head and flopped down on the couch dramatically. “Whachoo want?” Walking quickly over to me, he knelt down and put the back of his hand to my forehead. I swatted at it but he held down my hands and tried to decide if I had a fever. “You just have a cold then?” “Allergies. Stupid mold or cedar or . . . air.” “Have you taken anything?” “Nope. Juss woke up. Cantchoo tell?” I waved a hand over my pajama-covered body and wiped my tears away. He smiled softly and stood up. “You still look beautiful. Let me find you something to take.” I wanted to have an aww moment, but just then I started in on a string of sneezes. “Only six sneezes?” Kash called from the kitchen. “Come on, Rach. You’re slacking. Next time go for eight at least.” I

There were herbs in the Waters of Massasauga Swamp that could be rendered into medicine for just about every affliction: yarrow and plantain for bleeding wounds, elderberries and boneset for flu, willow bark for fever, and foxglove and dandelion for too much pressure in the body. Mullein for eliminating mucous, slippery elm for sore throats, honey for ulcers, and turkey tail for the old cancers, if you caught them early. And if you asked Herself to make a potion or tonic to fix you, she would study the veins in your hand and the whites of your eyes while considering what kinds of poison to add in minuscule amounts. Bloodroot? Snakeroot? Rattlesnake venom, if she had it?