Ono Recipe

We've had a big of mac nut collection from the front yard this season, as well as a few mangoes. The local fisherman still sells the days's catch from giant ice chests on the back of his truck a couple time a week. So, with a hat tip for the original recipe by Bev Gannon of Maui, here is a tasty recipe for cooking at home.

Mac Nut Rice Flour Crusted Ono

Use a cast iron skillet for frying and to hold baking fish.

Preheat oven to 425 degrees.


Fish: 2 lbs thick ono fillets


1/2 cup chopped fresh mango

1/2 cup white wine or grapes

1/3 cup sugar

1 tablespoon minced ginger

1/4 cup lime juice

Bring to a boil, add 1/4 cup sour cream and 1/4 cup butter, mix in blender.


Salt / pepper / garlic seasoning

1/2 cup macadamia nuts, whole or pieces

1 cup rice flour

1/2 cup fresh basil (or other green herb seasoning

Set seasoning aside for now. Grind nuts, flour, and herbs in blender until fully mixed.

COOKING 1: Coat fish with seasoning. Place ono skin side down in lightly oiled frying pan and lightly fry skin side.


1/2 cup good-quality mayonnaise

2 teaspoons Sriracha

Mix mayo and sriracha and spread on the skinless side of ono fillets.

Add rice flour mixture so that the spicy mayo sticks the flour mixture to the ono fillets.

COOKING 2: Flip ono flour side down in pan and brown flour side.

COOKING 3: Transfer to hot (425 degrees) oven and bake for 8
minutes, then shut off oven, vent, and allow fish to sit warmly in oven til time
to serve (will finish cooking during this time).

Serve flour side up with the sauce to ladle as a gravy.

Covid-19 Modeling for the Big Island

Extrapolations, anyone? Here are some of mine (see bottom for sources):

HERE, from Plos One, is a good discussion of why extrapolations such as the above are often very wrong, just published last week:



Forecasting the novel coronavirus COVID-19

Fotios Petropoulos ,Spyros Makridakis

Published: March 31, 2020https://doi.org/10.1371/journal.pone.0231236


What will be the global impact of the novel coronavirus (COVID-19)? Answering this question requires accurate forecasting the spread of confirmed cases as well as analysis of the number of deaths and recoveries. Forecasting, however, requires ample historical data. At the same time, no prediction is certain as the future rarely repeats itself in the same way as the past. Moreover, forecasts are influenced by the reliability of the data, vested interests, and what variables are being predicted. Also, psychological factors play a significant role in how people perceive and react to the danger from the disease and the fear that it may affect them personally. This paper introduces an objective approach to predicting the continuation of the COVID-19 using a simple, but powerful method to do so. Assuming that the data used is reliable and that the future will continue to follow the past pattern of the disease, our forecasts suggest a continuing increase in the confirmed COVID-19 cases with sizable associated uncertainty. The risks are far from symmetric as underestimating its spread like a pandemic and not doing enough to contain it is much more severe than overspending and being over careful when it will not be needed. This paper describes the timeline of a live forecasting exercise with massive potential implications for planning and decision making and provides objective forecasts for the confirmed cases of COVID-19.



The origin of the R0 of 0.1 in the curve above is based on the following analysis:

# Simplistic Julia extrapolation model to fit world data totals

using LsqFit

const K = 7_800_000_000  # approximate world population
const n0 = 27  # starting at day 0 with 27 Chinese cases

""" The model for logistic regression with a given r0 """
@. model(t, r) = (n0 * exp(r * t)) / (( 1 + n0 * (exp(r * t) - 1) / K))

# Source: https://ourworldindata.org/coronavirus#all-charts-preview
# Daily world totals, including China and all countries
ydata = [
27, 27, 27, 44, 44, 59, 59, 59, 59, 59, 59, 59, 59, 60, 60,
61, 61, 66, 83, 219, 239, 392, 534, 631, 897, 1350, 2023,
2820, 4587, 6067, 7823, 9826, 11946, 14554, 17372, 20615,
24522, 28273, 31491, 34933, 37552, 40540, 43105, 45177,
60328, 64543, 67103, 69265, 71332, 73327, 75191, 75723,
76719, 77804, 78812, 79339, 80132, 80995, 82101, 83365,
85203, 87024, 89068, 90664, 93077, 95316, 98172, 102133,
105824, 109695, 114232, 118610, 125497, 133852, 143227,
151367, 167418, 180096, 194836, 213150, 242364, 271106,
305117, 338133, 377918, 416845, 468049, 527767, 591704,
656866, 715353, 777796, 851308, 928436, 1000249, 1082054,
# The initial data is for 97 days starting with day 0 = 31 December 2019
tdata = collect(LinRange(0.0, 96, 97))

# starting approximation for r of 1/2
rparam = [0.5]

fit = curve_fit(model, tdata, ydata, rparam)

# Our answer for r given the world data and simplistic model
r = fit.param
println("The logistic r for the world data is: ", r)
println("The confidence interval at 5% significance is: ",
    confidence_interval(fit, 0.05))
println("Since R0 is about exp(G * r), and G is about 12, R0 ≈ ", exp(12r[1]))

# Output: 
# The logistic r for the world data is: [0.11230217572265622]
# The confidence interval at 5% significance is: [(0.11199074156706985, 0.11261360987824258)]
# Since R0 is about exp(G * r), and G is about 12, R0 ≈ 3.8482792820761063

Medical Isolationism in Hawaii

Hawaii puts all future entrants to the state on mandatory 14-day quarantine this season. This seems reasonable, as virtually all cases so far have been in visitors or, especially, residents who returned from trips away from the islands.


Plague Ship

The Big Island has had its first confirmed SARS-CoV-2 case confirmed today: rumor has it that it was one of two visitors who jumped ship from the ill fated Diamond Princess cruise ship when it docked in Hilo about two weeks ago.

LAVA: 24 seconds for hand washing

Who would have thought that the chorus to Lava would make a good handwashing timing song? For your hand washing entertainment, here.


The below is a translation of the official Italian document. Here is the original: Italian PDF

With current projections of the coronavirus epidemic (COVID-19) currently underway in some Italian regions, there are estimates of an increase in cases of acute respiratory failure in the next few weeks in many centers (with need for ICU admission) of such magnitude as to cause an enormous imbalance between the real clinical needs of the population and the actual availability of intensive resources.

It is a scenario where criteria for access to intensive care (and discharge) may be needed not only strictly according to clinical appropriateness and proportionality of care, but also inspired by shared criterions of distributive justice and appropriate allocation of resources under conditions of limited healthcare.

A scenario of this kind can be substantially assimilated to the field of "disaster medicine", for which ethical reflection has over time developed many concrete indications for doctors and doctors nurses engaged in difficult choices. As an extension of the principle of proportionality of care, allocation in a context of a serious shortage of health resources must aim at guaranteeing intensive treatments to patients with greater chances of therapeutic success: it is therefore a matter of privileging the "greatest life expectancy ".

The need for intensive care must therefore be integrated with other elements of "clinical suitability" to intensive care, thus including: the type and severity of the disease, the presence of comorbidities, the impairment of other organs and systems and their reversibility. This means not necessarily having to follow a criterion for access to intensive care like "first come, first served". It is understandable that the carers, by culture and training, are not accustomed to reasoning with criteria of maxi-emergency triage, as the current situation has exceptional characteristics. The availability of resources does not usually enter the decision-making process and the choices of the individual case, until resources become so scarce as to not allow to treat all patients who they could hypothetically benefit from a specific clinical treatment. It is implicit that the application of rationing criteria is justifiable only after all the subjects involved (in particular the "Crisis Units" and the governing bodies of hospital facilities) have made all possible efforts to increase the availability of resources available (in particular, Intensive Care beds) and after any possibility of transfer of the patients to centers with greater availability of resources.

It is important that a change in access policies should be shared as much as possible among the operators involved. Patients and their families interested in applying the criteria must be informed of the extraordinary nature of the measures in place, due to a question of duty of transparency and maintenance of trust in the public health service.

The purpose of the recommendations is also to:

(A) to relieve clinicians from a part of responsibility in choices, which can be emotionally burdensome, carried out in individual cases;

(B) to make the allocation criteria for healthcare resources explicit in a condition of their own extraordinary scarcity.

From the information available now, a substantial part of subjects diagnosed with infection from Covid-19 requires ventilatory support due to interstitial pneumonia characterized by severe hypoxemia. Interstitial disease is potentially reversible, but the acute phase can last many days. Unlike more familiar ARDS cadres, with the same hypoxemia, Covid-19 pneumonia appears to have slightly better lung compliance and respond better to recruitment, medium PEEP, pronation cycles, inhaled nitric oxide. As for the most well-known paintings of habitual ARDS, these patients require protective ventilation, with low driving pressure.

All this implies that the intensity of care can be high, as well as the use of human resources. From the data reported for the first two weeks in Italy, about one tenth of infected patients require intensive care treatment with assisted ventilation, invasive or non-invasive.


1. Extraordinary admission and discharge criteria are flexible and can be adapted locally the availability of resources, the real possibility of transferring patients, the number of accesses in progress or expected. The criteria apply to all intensive patients, not only to patients infected with Covid-19 infection.

2. Allocation is a complex and very delicate choice, also due to the fact that an excessive increase Extraordinary intensive beds would not ensure adequate care for individual patients and would distract resources, attention and energy to the remaining patients admitted to Intensive Care. It is to be considered also the foreseeable increase in mortality due to clinical conditions not linked to the ongoing epidemic, due to the reduction of surgical and outpatient elective activity and the scarcity of intensive resources.

3. It may be necessary to place an age limit on entry into ICU. It is not a question of making choices merely of value, but to reserve resources that could be very scarce first, for those who are primarily more likely to survive and second, for those who can have more years of life saved, with a view to maximizing of benefits for most people.

In a scenario of total saturation of intensive resources, to decide to keep a criterion of "First come, first served" would still amount to choosing not to treat any subsequent patients that would be excluded from Intensive Care.

4. The presence of comorbidities and functional status must be carefully evaluated, in addition to age registry. It is conceivable that a relatively short course in healthy people will potentially become longer and therefore more resource consuming on the health service in the case of elderly, frail or disabled patients or in those with severe comorbidity.

The specific and general clinical criteria which can be particularly useful for this purpose can be seen in the 2013 multi-company SIAARTI document on major end-stage organ failure (https://bit.ly/2Ifkphd). It is also appropriate to refer also to the SIAARTI document relating to the admission criteria in intensive care (Minerva Anestesiol 2003; 69 (3): 101–118)

5. Care should be taken as to the possible presence of a living will previously expressed by the patients through any DAT (advance treatment provisions) and, in particular, any end-of-life preferences that may have already been expressed (by patients and their caregivers) by people who are have already gone through care planning in the case of prior chronic disease.

6. For patients for whom access to an intensive course is deemed "inappropriate", the decision to set a ceiling of care should be motivated, communicated and documented. The ceiling of care placed before mechanical ventilation must not preclude intensity of inferior care.

7. Any judgment of inappropriateness in accessing intensive care based solely on criteria of distributive justice (extreme imbalance between demand and availability) should find justification in the extraordinary nature of the situation.

8. In the decision-making process, if situations of particular difficulty and uncertainty arise, it can be useful to have a "second opinion" (possibly even by phone) from interlocutors of particular experience (for example, through the Regional Coordination Center).

9. The criteria for access to Intensive Care should be discussed and defined for each patient in the most possible way possible early, ideally creating in time a list of patients who will be deemed worthy of Intensive Care at the moment in which the clinical deterioration occurred, provided that the availability at that moment allow it.

Any “do not intubate” instruction should be present in the medical record, ready for be used as a guide if clinical deterioration occurs precipitously and in the presence of caregivers who have not participated in the planning and who do not know the patient.

10. Palliative sedation in hypoxic patients with disease progression is considered necessary as an expression of good clinical practice, and must follow existing recommendations. If there is a need for provision for a not short agonic period, a transfer to a nonintensive environment must be provided.

11. All accesses to intensive care must however be considered and communicated as an "ICU trial" and therefore undergo daily reassessment of appropriateness, goals of care and proportionality of care. If it is considered that a patient, perhaps hospitalized with borderline criteria, does not respond to prolonged initial treatment or is severely complicated by a decision by "Therapeutic desistance" and remodulation of intensive to palliative care - in a scenario of exceptionally high influx of patients - should not be postponed.

12. The decision to limit intensive care should be discussed and shared as collegially as possible of the treating team and - as far as possible - in dialogue with the patient (and family members), but must be able to be timely. It is foreseeable that the need to make choices of this type repeatedly will pay off in each stronger ICU the decision-making process is better adaptable to the availability of resources.

13. ECMO support, as it is resource consuming compared to an ordinary ICU hospitalization, in conditions of extraordinary influx, should be reserved for extremely selected cases and with relatively rapid weaning forecast. It should ideally be reserved for hub centers at high volume, for which the patient in ECMO absorbs proportionately fewer resources than there are would absorb in a center with less expertise.

14. It is important to "network" through the aggregation and exchange of information between centers and individual professionals. When the working conditions allow it, at the end of the emergency, it will be important to dedicate time and resources to debriefing and monitoring any burnout professional and moral distress of operators.

15. Considerateness should be exercised for family members of those hospitalized in ICU with Covid-19, especially in cases in which the patient dies at the end of a total visit restriction period.

Friday music: Swift on the pandemic

From the 2020 album.