Items tagged with: sick
Doctors’ bills play a role in 60 percent of personal-bankruptcy filings.
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Since Chamberlin Edmonds was offering only to help her find government insurance, for which Lockett did not qualify, the company wasn’t able to reduce her hospital bill or work out a payment plan. Lockett assumed this meant she was at a dead end with her nearly $30,000 in hospital bills. “They were saying that there was nothing that they could do,” she told me. She decided to put the bills aside and try to get to them after she found a job.
A year later, Lockett attended a meeting with representatives of Georgia Watch, a nonprofit group, as part of her volunteer work. When one of the Georgia Watch representatives mentioned that the organization has a guide for people who wish to negotiate down their hospital bills, Lockett grabbed a copy. She called the hospital back. This time, she says, they told her her entire bill had been wiped away.
Emory Healthcare told me it could not comment on individual patients, but added, “Patients will sometimes receive two bills for the same date of service: one bill for services rendered by the physician; the other for a hospital stay, supplies, services, and equipment provided. Emory Healthcare’s customer-service department works with patients to establish a mutually acceptable agreement for paying inpatient or outpatient bills.”
Read: Even the insured often can’t afford their medical bills
“The reality is that medical costs are not objective, real costs,” says Berneta L. Haynes, the director of equity and access at Georgia Watch. One day, an MRI can cost $19,000. The next, it can cost nothing.
Though she was still responsible for her reduced ambulance bill, Lockett was lucky. Others aren’t. Dana Peterman, a physical therapist in Forsyth, Georgia, owed more than $4,000, after insurance, when her son was rushed to the hospital with an anaphylactic peanut-allergy reaction in 2017. She tried to negotiate down her bill, but she says the hospital, the ambulance company, and the ER doctors did not give her a discount. She paid in full, not wanting the bills to affect her credit.
To negotiate with a hospital, consumer advocates I spoke with recommended asking about financial assistance, including charity care for the uninsured. If that fails, patients can ask whether they can pay whatever the hospital would have charged someone who was on Medicare—typically a lower rate. Hospitals and even collections agencies will often agree to payment plans, or a discount in exchange for a lump-sum payment.
Still, the current system requires people to independently negotiate on their own behalf with giant corporations over tens of thousands of dollars, often while recovering from a major illness. For those who haven’t done it before, the process can be confounding. “Maybe I didn’t say the right thing before,” Lockett told me.
If the patient fails to pay, a medical debt might be sent to a debt collector. Some patient advocates say small medical debts are now getting sold to debt buyers, companies that try to collect as much as they can on long-past-due debts. “Now we are seeing small-time medical practices get involved in selling their bad debts to debt buyers for pennies on the dollar,” says Sandoval-Moshenberg, of the Legal Aid Justice Center. Rather than medical records or a patient history, these buyers rely on little more than a list of debts in a spreadsheet, making it harder, Sandoval-Moshenberg and others argue, for patients to negotiate a deal or expunge an error. But this practice makes financial sense for doctors, given how many people are unable to pay their bills.
When everything fails, and the person is at imminent risk of having wages garnished because they’ve been sued for medical debt, it might be time to file for bankruptcy, says Sandoval-Moshenberg. The people who do become the tip of a very big debt iceberg.
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[IMG] Olga Khazan is a staff writer at The Atlantic.
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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…
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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, firstname.lastname@example.org, 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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As record rains have poured down on California’s coasts, sending thousands of gallons of runoff into the oceans and dumping debris and trash onto the beaches, dozens of sickened marine mammals have…
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The deep blue waters and crashing waves along the coast of California provide a picturesque backdrop to the state’s shores, but the sight has been marred of late.
As winter rains have poured down, trash has flowed onto area beaches. And amid the detritus has been an even more troubling discovery: scores of sickened or dead marine mammals.
Worse yet, the sick animals seem to be concentrated locally.
While Northern California and San Diego County have seen dozens of stranded sea lion pups, rescuers say the numbers are normal for this time of year for their areas.
But Orange County beaches have been inundated with sick seals, sea lions and other marine mammals, as well as dead dolphins.
Rescues of unhealthy marine mammals have nearly tripled for this time of year in Orange County, according to the Pacific Marine Mammal Center, which this week took in its 41st animal since the year began. The number of sick marine mammals becoming stranded in L.A. County beaches is slightly higher than usual, with 44 being cared for by the Marine Mammal Care Center Los Angeles, said veterinarian Lauren Palmer.
“It’s been a little bit of a whirlwind,” said Krysta Higuchi, a spokeswoman for the Pacific Marine Mammal Center in Laguna Beach. “We’re going through fish, funds and medical supplies faster than we expected. It is a strain on all of us here.”
The center says it’s normal for the number of stranded animals to go up near the end of March, but this year the organization has rescued three elephant seals and a large number of sea lions much earlier than usual, and most are 8-month-old pups.
Sea lion pups are typically beached either because their mothers are unhealthy and cannot properly feed them, or they were strong enough to wean early and then are unable to find food on their own, said Sharon Melin, a wildlife biologist with the National Oceanic and Atmospheric Administration.
The rescued pups have been dry, malnourished and emaciated, weighing half as much as they should, the center said.
Though the exact reason for the increase in the number of strandings this year is unknown, Higuchi said it could be tied to warmer ocean waters caused by an El Niño weather pattern or excess stormwater runoff from this winter’s rains.
For an El Niño to be declared, a certain atmospheric circulation pattern has to form over warm ocean-surface temperatures. The ocean temperatures have been elevated for months, but the circulation pattern hadn’t caught on until last month, said Michelle L’Heureux, a meteorologist with the National Weather Services’ Climate Prediction Center.
Warm waters often reduce the amount of bait fish in the ocean, such as sardines and anchovies, which larger marine mammals eat. The smaller forage fish tend to swim in cold water, so during an El Niño event the fish may be diving deeper or farther out than usual — out of the reach of young sea lions, said Melin, who studies the overall population of sea lions in the state.
She recently returned from a trip to the Channel Islands and found a strong population of healthy sea lion mothers, which seems to indicate the newly weaned pups aren’t finding enough food, leading to their strandings.
Sick and malnourished sea lion pups rest in a rehabilitation room at the Pacific Marine Mammal Center in Laguna Beach.
Sick and malnourished sea lion pups rest in a rehabilitation room at the Pacific Marine Mammal Center in Laguna Beach. (Allen J. Schaben / Los Angeles Times)
In addition to the higher-than-normal pinniped rescues, researchers are seeing an increase in the number of stranded dolphins.
The Pacific Marine Mammal Center recently enlisted the help of NOAA and several universities to help determine why so many dolphins have washed up along the state’s beaches.
Last month, 20 dead dolphins were found along the California coast, a much higher number than experts have seen compared with previous years, said Justin Viezbicke, a stranding coordinator with NOAA. That’s higher than the total number of dead dolphins found statewide in 2017 and 2018 combined.
In Orange County, 10 dolphins have been found dead or dying since the beginning of the year — four in the last week. In Los Angeles County, two dying dolphins were found stranded on beaches, a “very unusual” count for the area so early in the year, according to the Marine Mammal Care Center Los Angeles.
Necropsy results have yet to come in, but Viezbicke thinks the dolphin beachings have something to do with this year’s rain, which has pounded the state in recent months with a series of atmospheric river-fueled fronts.
It’s possible the storm runoff that washes waste into the ocean has caused a stronger bloom of poisonous algae, which produce a toxin responsible for neurological disorders, Higuchi said. Sickness caused by the algae blooms can cause seizures, which affected three of the dolphins found recently in Southern California.
“They were flailing around” when rescuers arrived, Higuchi said. “It was a very heartbreaking experience. These dolphins are such majestic creatures. To see them suffering was very difficult.”
Whale-watching groups have reported an unusually high number of dolphins along the coast this season. Rather than any unusual illnesses, it’s possible onshore winds and waves from strong storms could be washing the carcasses ashore, making the dead animals more visible, Viezbicke said.
But as to why there are so many stranded sea lions this winter, the answers are less clear.
“It’s getting hard to give good answers because the ocean is getting more unpredictable,” said Douglas McCauley, a professor of marine biology at UC Santa Barbara. “The ocean is just getting weirder. So much is changing” in terms of climate.
Although the El Niño conditions are weak, McCauley says the weather pattern may be throwing the ocean temperatures off just enough to affect marine life.
The Orange and Los Angeles county coasts tend to see stranded sea lion pups sooner than other parts of California because the animals breed at the nearby Channel Islands, Melin said.
During the same two-month span in 2018, the Pacific Marine Mammal Center rescued 15 animals, compared with 41 from this year, said Peter Chang, the center’s chief executive. In 2017, the group had rescued 18 pinnipeds by this time of the year.
The Sausalito-based Marine Mammal Center — a separate entity from the Pacific Marine Mammal Center that rescues animals on 600 miles of beaches between Mendocino and San Luis Obispo counties — has not seen an uptick in rescues this winter, spokesman Giancarlo Rulli said. The organization is currently housing 18 marine mammals, a normal number for this time of year, he said.
“There’s been nothing out of the ordinary, but things could change,” Rulli said. “That could mean something could head up the coast. We’re keeping a close eye on things.”
To the south, SeaWorld in San Diego has also seen an average number of rescues, with a total of 45 sea lions, spokesman David Koontz said.
The last time California had a major increase in stranded sea lions was between 2013 and 2016, when a strong El Niño caused what experts called an “unusual mortality event.”
In 2015, the Pacific Marine Mammal Center rescued nearly 600 animals, while the Marine Mammal Center in Northern California rescued 1,800.
After 2016, the sea lion population began to recover, but Melin said she expects there will be more large mortality events, given the changing climate.
Though El Niño leads to temporary shifts in marine mammals’ movements and population, general ocean warming is causing more permanent damage to all sorts of sea creatures.
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- #images #photos #foto #photo #photography #photograph #photographs #newsphotography #worldnews
- #images #photos #foto #photo #photography #photograph #photographs #newsphotography #worldnews
Christian Preaching is a Crime in the U.K.
I do not, but most Christians believe they are obligated by their faith to preach the Good News of Jesus Christ to passers-by on street corners. In the U.K. this is a crime.
Watch as this poor black man is arrested for speaking.
#UK #Christ #Christianity #Evangelism #Religion #Politics #Crime #Islam #Muslim #NWO
#Wind #farms are everywhere around here. There was a very sweet deal done with the Ontario Government to make these behemoths pay handsomely for those who built them, with Ontario Hydro users paying for the higher energy cost. You hear of people getting #sick. I saw one lady holding a fluorescent bulb outside her house at night and it lights up without being connected to any power source. She was in despair, for her home near wind #turbines made her family so sick they could not in good conscience sell it to anyone, nor could they live in it. There is no recompense, and nothing you can do if these are built next door to you.
Can wind turbines make you sick?
Here is a news report out of Ontario, Canada regarding the plight of victims suffering from industrial wind turbines too close to their homes. This story repeats itself all over the world, from Maine to Australia and everywhere else.
Fall River’s District Fire Chief Michael Clark said the man’s grandfather was a dentist and he got old #fillings from him. Apparently, the man tried melting the fillings a couple of weeks ago, got #sick and has been hospitalized since Jan. 28....and yet the #ADA says this stuff is safe to put in your mouth...
According to the Fall River Fire Department, a man tried to melt #dental #fillings, thinking they were #silver. Actually, they were #mercury. (Courtesy WPRI)
On Saturday, the man’s girlfriend notified the fire department. In the meantime, a dog and two cats died.
A 17-year-old girl who live in the building tested positive for mercury. Two people are now hospitalized and the entire apartment building is #unlivable.
Here’s a follow-up to my post about the Thieves and other cleaners science experiment. My friend that did the same experiment had extra Petri dishes, so when one of her kids spiked a 102 degrees #fever, she decided to do a nose swab and test Lysol spray, Clorox cleaner with #bleach, and Thieves essential oil. This is the result at the 4 day mark.#lysol #clorox #thieves #essential oil. #wellness #sick #experiment
~Vanessa Neely Wallace
it is very painful – how sick mankind has become – and – with how many idiots (ignorant, stupid, lack of consciousness) i have to share this planet with. (unkown German philosopher)
#philosophy #philosophie #MutZurWahrheit #SystemPhilosophy #SystemPhilosophie #sick #mankind #idiots
Originally posted at: https://declaration-of-happyness.org/sometimes/
"...PROGRAMMED by luciferian forces...Facts of Jewish Media Control...gives this small minority the power to mold our minds to suit their own Talmudic interests, interests which as we have demonstrated are diametrically opposed to the interests of our people."
#prejudice #hate #antisemitism #sick