EQ
U
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Y
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A
RC
Leonid Timashev, Ph.D. (Associate) (212) 437-9931 [email protected] Gregory Renza, M.D. (Analyst) (212) 858-7065 [email protected] October 28, 2020Herd Immunity: Refining Our Model Based On Latest
Developments
See Potential For Herd Immunity By 1Q23, Best Case 2Q21; With
Vaccine By 3Q21
We
recently analyzed
the potential of reaching COVID-19 herd immunity through either
widespread infections and/or the common use of a vaccine. As we continue to await
vaccine data, and as case rates continue to rise to record levels, hospitalizations steadily
increase, and early signs of mortality also begin to inflect upwards since our last note
on 10/15, we take the opportunity to update our thinking and further refine our model
assumptions, shaped also by emerging scientific data.
We have also constructed an
interactive scenario analysis to explore base, best, and worst cases using a variety of
customizable inputs.
Our updated base case analysis indicates that without a vaccine,
the U.S. should achieve sufficient effective immunity to meaningfully slow transmission
and restore societal 'normalcy' by 1Q23, resulting in 660K COVID-19 related deaths (low
145K, high 1M). Assuming a higher proportion of individuals already immune and a lower
infection-related mortality rate, both of which may be very reasonable assumptions based
on evolving evidence, lowered spread would occur by 2H22 at the cost of 245K U.S. lives.
Should an effective vaccine become available over the next few months (first interim data
are imminent), our analysis indicates a meaningful slowing of transmission by 3Q21, with
up to an additional 140-340K COVID-related deaths occurring between now and then.
Herd immunity model with inputs and sensitivities available here.
Latest evolving understandings and trends:
Rising case rates: The 7-day moving average for positive COVID-19 cases in the U.S. has now reached record highs at 72K/day (Exhibit 1), and we are increasing our infection rate projections for the coming months accordingly to reflect these trends.
Testing up, but so are hospitalizations: In the early-summer wave the uptick in hospitalizations lagged the uptick in cases by about 2wks, and we see a similar effect in the current wave-- indicating that the spike in positive cases is reflecting a true increase in COVID-19 infections rather than solely due to better detection; after adjusting for that 2-week lag, it appears that the % increase in hospitalizations is tracking at least on par with the case uptick. However, while the ratio of total COVID-related hospitalizations as a function of new positive cases 14d prior has remained relatively constant (0.8) since August, suggestive of some equilibrium, it remains substantially lower than during the summer wave, and the hospitalization rate is far lower (half) than what was seen in the spring – indicating that there could be some contribution from detection of milder/asymptomatic cases and that hospitalization numbers may not substantially surpass prior waves despite higher positive tests (though this may also be due in part to more stringent hospitalization criteria). This suggests much better manageability vs. early in the pandemic, and shapes our assumptions particularly in our “optimistic base case 2.0.”
Death rate steady since mid-July; remains far lower than early in pandemic:
(cont. on next page)
(cont. from front page)
Death rates (continued): Since mid-July, the rate of reported COVID-related deaths relative to new positive cases 3wks prior (~15d diagnosis to death + ~7d median time to report death) has continued to hover between 1.6-2.0%, indicating mortality rates are generally steady and remain far lower than at the beginning of the pandemic.Accounting for the lag period, though, it does not appear that the death rates from COVID-19 will be substantially lower during this wave than in the mid-summer wave. With our estimate that there are actually 2.3x the number of daily infections vs. positive tests (discussed later), this case fatality rate corresponds roughly to our 0.7% estimated infection fatality rate. Despite some recent setbacks, including more mixed data for GILD’s remdesivir and failure of LLY’s bamlanivimab in hospitalized patients, we continue to model, optimistically, that with improving care and greater therapeutic options, death rates should still decline over time. With cases distributed more evenly throughout the country vs. early in the pandemic, as well as greater preparedness, we see less risk of regional healthcare systems being completely overrun (we estimate 78K beds could be occupied at peak vs. an estimated 302K available beds), though we will continue to monitor this given its potential to raise mortality rates.
Exhibit 1:Hospitalizations and deaths have risen consistent with positive cases, albeit with a lag period
Source: RBC Capital Markets estimates; COVID Tracking Project
Duration of immunity: Studies have shown immunity to other coronaviruses can last as long as 3-5 years, reinfections with COVID-19 have been very rare, and protective immunity with COVID-19 has been demonstrated to be at least several months. However, a large new study just published out of Imperial College London showed the proportion of people testing positive for COVID-19 antibodies declined by 27% over 3 months, and loss of antibodies was much greater in individuals with asymptomatic infection. There are many unknowns, including the degree that other forms of immunity like T-cells may still confer protection, and we note that undetectable levels of antibodies does not necessarily mean there are no memory B cells readily available to differentiate into plasma cells and prevent a second infection on stimulation with antigen, but nonetheless it does raise some questions about the extent and duration in which asymptomatic patients can contribute to herd immunity. To better account for this, we are introducing a very modest adjustment factor into our model to slightly reduce the proportion of durably immune patients by 0.3% each month in our base case.
Warm weather and transmission: Emerging evidence continues to suggest summer, and warmer weather, do not have a meaningful impact on the effective reproduction number for COVID-19, with a recent pre-print from Iran showing nearly no effect to a stable 2.5-2.6 Rt throughout a 10 degree Celsius range. As such, we maintain our transmission estimates constant for the Northern Hemisphere winter season.
Pre-existing T cells may protect against more severe disease, though not necessarily against transmission: Our recent review of relevant literature suggests pre-existing T cells may lessen severity of COVID-19 infection. However, they may have limited effect on transmission rates, and consequently, on herd immunity thresholds. We model a 2% reduction in the herd immunity threshold to account for the possibility of pre-existing immunity.
Increasing characterization of longer-term symptoms: A recent pre-print analyzed self-reported short- and long-term symptoms in a mostly mild COVID-19 cohort vs two control cohorts and found that 43% of COVID-19 patients had symptoms lasting more than 30d vs just 9% in the general untested population. Further, 24% of these mild COVID-19 patients still reported symptoms after 90d. It is difficult to know the degree to which milder patients may have any lingering effects that extend beyond weeks/months that could impact their quality of life more sustainably. Overall, we believe longer-term symptoms remain an important consideration, as many models look solely at hospitalizations and mortality but not at potential long-term morbidity.
Rationale for our assumptions:
Intrinsic Rt: The best estimate for the intrinsic reproductive number is currently 2.5 per the CDC, and we assume a best and worst case of 2.0 and 3.0, respectively.
Initial immunity: We see some debate on this variable; however, we continue to believe the totality of evidence to date on SARS-CoV-2 seroprevalence implies an average U.S. immunity rate of around 10% (15% in our base 2.0 case). We assume 14% and 8% for our best and worst case, respectively, for the proportion of the population previously infected with COVID-19.
Bar for herd immunity: Our estimated bar for herd immunity is roughly 43% of the population, which is based on a 60% threshold from the Rt of 2.5, less 15% to account for COVID-19's heterogeneous spread and impact of social behaviors, and 2% for pre-existing complete immunity. This threshold is 33% in our best case and 50% in our worst case scenarios. Our model continues to assume a balance of openings/closures and social distancing as it stands today; greater lockdowns may lower the effective herd immunity threshold, while reduced distancing and isolation behaviors would increase it.
Neutralizing cross-reactivity: Another topic of debate with data limitations is whether cross-reactivity from pre-COVID-19 coronaviruses can be neutralizing and/or protective. Though difficult to precisely estimate, we assume 2% of the population may have complete protection (equivalent to 4% with half-protection, etc.), with a best and worst case of 5% and 0.5%, respectively.
Reinfection: With fewer than a handful of cases of reinfections worldwide, we see the base case rate at 0.005% and the best case at 0%, with a worst case scenario of 0.01%, and these do not factor significantly in our modeled outcomes.
Initial detected / undetected ratio: We maintain our base case ratio of 2.3 (meaning there are actually 2.3x as many infections as positive tests), after back-calculating from multiple sources. However, we acknowledge this is a key variable, and if there are multiples more of the population getting infected - perhaps asymptomatically - than are showing up in testing, then
the path towards achieving herd immunity could be more rapid. Our best-case ratio of 4x would account for this effect and could certainly be realistic, in our view.
Vaccine efficacy: Putting a finer point on vaccine impact to herd immunity, we estimate base case vaccine efficacy to be in the 65% range, with a best case of 90% (similar to non-flu vaccines), and a worst case as the minimum efficacy bar set by the FDA at 50%. We are also nuancing the vaccine impact based on the potential timelines for availability, likely requirement for two doses, and several weeks to development of immunity after vaccination.
Infection fatality ratio (IFR): We base our 0.70% IFR (0.30% in our base 2.0 case) on estimates provided by several sources including the CDC and Johns Hopkins University, as well as our back-calculations from the steady lag-corrected U.S. death rate trends. Our best-case IFR rate of 0.30% would imply many more infections than being detected by tests; recent published statistical work correcting for demographics suggest this could be the case. Additionally, a new publication in Nature this week suggests the more predominant D614G mutation, while causing increased upper respiratory tract titers (and likely associated increased transmissibility), may be more susceptible to neutralization – perhaps contributing to improvements in mortality vs. very early in the pandemic.
IFR decay rate: Our IFR decay rate of 2% is based on assumptions surrounding improvements in care and availability of therapeutics. We model best- and worst-case rates of 3% and 0%.
Rapidity of herd immunity: We are also nuancing our model to better account for an expected decline in cases/transmission to begin rapidly (-70% per month) after achieving the herd immunity threshold, but cases not necessarily disappearing immediately.
Exhibit 2:Without a vaccine, we est. herd immunity could potentially be achieved in the U.S. around early 2023
Source: RBC Capital Markets estimates; based on data from Meteus et al Science (2020), Anand et al Lancet (2020), Poland et al Lancet (2020), Cirulli et al medRxiv (2020, pre-print), Plante et al Nature (2020), REACT-2 (gov.uk), IHME
0% 10% 20% 30% 40% 50% 60% 0 50 100 150 200 250 300 350 400 Im m u n e , e n d o f m o n th (%) P o p u lat ion (00 0 s)
Daily Infections Per Month Monthly Deaths % Immune
Exhibit 3:With a vaccine, we est. herd immunity could potentially be achieved in the U.S. by late-summer 2021
Source: RBC Capital Markets estimates; based on data from Meteus et al Science (2020), Anand et al Lancet (2020), Poland et al Lancet (2020), Cirulli et al medRxiv (2020, pre-print), Plante et al Nature (2020), REACT-2 (gov.uk), IHME
Exhibit 4:Table of scenario outcomes (including an “optimistic base 2.0” case – see footnote)
Note: Base 2.0 scenario is the same as Base scenario except starts at a 15% (vs 10%) current infection rate and lower 0.3% (vs 0.7%) IFR
Source: RBC Capital Markets estimates; based on data from Meteus et al Science (2020), Anand et al Lancet (2020), Poland et al Lancet (2020), Cirulli et al medRxiv (2020, pre-print), Plante et al Nature (2020), REACT-2 (gov.uk), IHME
0% 10% 20% 30% 40% 50% 60% 0 50 100 150 200 250 300 350 400 Im m u n e , e n d o f m o n th (%) P o p u lat ion (00 0 s)
Daily Infections Per Month Monthly Deaths % Immune
Worst
Base
Base 2.0
Best
Without a vaccine
Herd immunity reached
Never
Jan-'23
Aug-'22
Apr-'21
Total COVID-19 deaths (000s)
1,032
657
248
145
Total excess deaths (000s)
1,445
919
347
203
With a vaccine
Herd immunity reached
Never
Sep-'21
Aug-'21
Mar-'21
Total COVID-19 deaths (000s)
904
339
137
130
Total excess deaths (000s)
1,266
474
192
181
Difference (with vs without vaccine)
Herd immunity reached
Never
15 mo
12 mo
1 mo
Total COVID-19 deaths (000s)
128
318
111
16
Total excess deaths (000s)
179
445
155
22
Exhibit 5:Key Upcoming Clinical Trial Readouts for COVID-19
Source: RBC Capital Markets estimates; company reports, clinicaltrials.gov
Drug Company Stage Description Design Anticipated Readout NCT
COVID-19 treatments: small molecules
Galidesivir BCRX ph.Ib
Direct anti-viral blocking viral RdRp, IV administration.
66 moderate to severe pts across part A (dose ranging) & B (efficacy),
randomized double blind
4Q20 NCT03891420
Famotidine Generic Approved in alt. indication
H2 antagonist, MoA in COVID-19 unknown
1170 moderate to severe pts, randomized double blind, Fam + HCQ
vs HCQ alone
4Q20 NCT04370262
Ruxolitinib INCY/NOV Approved in
alt. indication JAK1/2 inhibitor
402 severe pts, randomized, double
blind Oct-'20 NCT04362137 Emtricitabine / Tenofovir GILD/ Generic Approved in alt. indication
HIV combo adenosine and aytosine analogues block
viral polymerase
4000 pts, randomized, double blind for
prophylaxis 4Q20 NCT04334928
Nitazoxanide Romark Approved in alt. indication
Broad spectrum anti-parasitic with anti-viral
properties
800 pts, randomized, double blind for
prophylaxis 2H20 NCT04359680
Molnupiravir (EIDD-2801)
MRK /
Ridgeback ph.II/III
Direct anti-viral blocking viral RdRp, oral
administration.
1300 pt trial of non-hospitalized COVID-19 patients, 1450 pt trial of
hospitalized
1H21 NCT04575597 NCT04575584
COVID-19 treatments: antibodies
REGN-COV2 REGN ph.III
Targets spike protein; two antibody cocktail ('10933
and '10987)
2000 asymptomatic healthy adults in
randomized, DB, pbo-controlled study end-'20/early-'21 NCT04452318
LY-CoV555 LLY ph.II Targets spike protein 800 mild/mod pts in randomized,
double-blinded, pbo-controlled study Jan-'21 NCT04427501 VIR-7831 VIR ph.II/III Targets RBD 1360 non-hospitalized, double-blinded,
pbo-controlled study Jan-'21 NCT04545060 AZD7442 AZN ph.I Two antibody cocktail
(AZD8895 and AZD1061) 48 health volunteers 4Q20 NCT04507256
COVID-19 vaccines
mRNA-1273 MRNA ph.II mRNA delivered by LNP
600 HV; two dose levels; two rounds of dosing 28d apart; two age groups
(18-54; 55+)
Late-'20 NCT04405076
CVnCoV vaccine GSK/CureVac ph.I mRNA delivered by LNP
168 HV; three dose levels; two rounds of dosing with 28d apart; one age
group (18-60)
Late-'20 NCT04449276
SCB-2019 Clover/GSK/D
VAX ph.I
Protein subunit with 2 types of adjuvants or
without adjuvant
150 HV; 3 dose levels; two rounds of dosing 21d apart; 2 age groups
(18-54; 55-75)
End-20 NCT04405908
AZD1222 AZN/Oxford ph.II/III (UK) ChAd vector-based
12,330 HV; one dose level; two dosing schedule (single or booster at wk4-6); five age groups (18+; 18-55;
5-12; 56-69; 70+)
Late-'20 NCT04400838
mRNA-1273 MRNA ph.III mRNA delivered by LNP
30,000 HV; one dose level - 100µg; two rounds of dosing 28d apart; one
age group (18+)
Nov-'20 NCT04470427
BNT162b2 PFE/BNTX ph.II/III mRNA encoding for Spike protein delivered by LNP
up to 30,000 HV; one dose level - 30µg; two rounds of dosing 21d apart;
two age groups (18-55; 65-85)
Late-'20 NCT04368728
SARS-CoV-2
vaccine SNY/GSK ph.I/II
Protein subunit with 2 types of adjuvants or
without adjuvant
440 HV; two formulations with two adjuvants; two dosing schedule (single
or booster 21d apart); two age groups (18-49; 50+)
Nov-'20 NCT04537208
AZD1222 AZN/Oxford ph.III mRNA delivered by LNP
30,000 HV; one dose level - 5*10^10 vp; two rounds of dosing 28d apart;
one age group (18+)
Dec-'20 NCT04516746
JNJ-78436735 JNJ ph.III Ad26 vector-based 60,000 HV; one dose level; one
Exhibit 6:Model Assumptions Without Vaccine
Source: RBC Capital Markets estimates; based on data from Meteus et al Science (2020), Anand et al Lancet (2020), Poland et al Lancet (2020), Cirulli et al medRxiv (2020, pre-print), Plante et al Nature (2020), REACT-2 (gov.uk), IHME
Vaccines? N
Case 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 26 38 50 62
Above threshold? FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE
HERD IMMUNITY Oct-20 Nov-20 Dec-20 Jan-21 Feb-21 Mar-21 Apr-21 May-21 Jun-21 Jul-21 Aug-21 Sep-21 Oct-21 Nov-21 Dec-21 Dec-22 Dec-23 Dec-24 Dec-25
U.S. population (M) 330 330 330 330 330 330 330 330 330 330 330 330 330 330 330 330 330 330 330
SARS-CoV-2 Intrinsic Rt 2.5
Intrinsic threshold needed 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60%
Behavioral modifications 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15%
Effective threshold needed 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45%
Needed to reach effective threshold (M) 149 149 149 149 149 149 149 149 149 149 149 149 149 149 149 149 149 149 149
Immune, beginning of month (%) 12% 13% 14% 16% 18% 19% 21% 22% 23% 25% 26% 27% 28% 30% 31% 44% 45% 43% 41%
Neutralizing Cross-reactivity 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2%
Vaccinated 0% 0% 1% 3% 7% 12% 17% 22% 27% 32% 37% 42% 47% 52% 52% 52% 52% 52% 52%
Newly Infected 1% 2% 2% 2% 2% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 0% 0% 0%
Reinfection 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% Immunity Loss 0.04% 0.04% 0.04% 0.05% 0.05% 0.06% 0.06% 0.07% 0.07% 0.07% 0.08% 0.08% 0.08% 0.09% 0.09% 0.13% 0.13% 0.13% 0.12%
Immune, end of month (%) 13% 14% 16% 18% 19% 21% 22% 23% 25% 26% 27% 28% 30% 31% 32% 45% 44% 43% 41%
Immune, end of month (M) 42 46 52 58 64 69 73 77 81 85 90 93 97 101 105 147 147 142 136
Daily reported rate of COVID infections 60.0 90.0 95.0 85.0 75.0 65.0 64.4 63.7 63.1 62.4 61.8 61.2 60.6 60.0 59.4 52.6 0.0 0.0 0.0 Daily rate of COVID infections, proj (000s) 138 207 219 196 173 150 148 147 145 144 142 141 139 138 137 121 0 0 0
Monthly COVID infections, proj (000s) 4,140 6,210 6,555 5,865 5,175 4,485 4,440 4,396 4,352 4,308 4,265 4,223 4,180 4,139 4,097 3,632 0 0 0 IFR 0.70% 0.69% 0.67% 0.66% 0.65% 0.63% 0.62% 0.61% 0.60% 0.58% 0.57% 0.56% 0.55% 0.54% 0.53% 0.41% 0.32% 0.25% 0.20%
Monthly Deaths, Directly COVID-19 Related 29 43 44 39 33 28 28 27 26 25 24 24 23 22 22 15 0 0 0
Undercount 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40%
Monthly Deaths, Excess (000s) 41 60 62 54 47 40 39 37 36 35 34 33 32 31 30 21 0 0 0
Total COVID-19 deaths (000s) 657
Exhibit 7:Model Assumptions With Vaccine
Source: RBC Capital Markets estimates; based on data from Meteus et al Science (2020), Anand et al Lancet (2020), Poland et al Lancet (2020), Cirulli et al medRxiv (2020, pre-print), Plante et al Nature (2020), REACT-2 (gov.uk), IHME
Vaccines? Y
Case 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 26 38 50 62
Above threshold? FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
HERD IMMUNITY Oct-20 Nov-20 Dec-20 Jan-21 Feb-21 Mar-21 Apr-21 May-21 Jun-21 Jul-21 Aug-21 Sep-21 Oct-21 Nov-21 Dec-21 Dec-22 Dec-23 Dec-24 Dec-25
U.S. population (M) 330 330 330 330 330 330 330 330 330 330 330 330 330 330 330 330 330 330 330
SARS-CoV-2 Intrinsic Rt 2.5
Intrinsic threshold needed 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60%
Behavioral modifications 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15% 15%
Effective threshold needed 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45% 45%
Needed to reach effective threshold (M) 149 149 149 149 149 149 149 149 149 149 149 149 149 149 149 149 149 149 149
Immune, beginning of month (%) 12% 13% 14% 16% 18% 20% 23% 27% 31% 35% 40% 44% 48% 52% 55% 59% 57% 55% 53%
Neutralizing Cross-reactivity 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2% 2%
Vaccinated 0% 0% 1% 3% 7% 12% 17% 22% 27% 32% 37% 42% 47% 52% 52% 52% 52% 52% 52%
Newly Infected 1% 2% 2% 2% 2% 1% 1% 1% 1% 1% 1% 0% 0% 0% 0% 0% 0% 0% 0%
Reinfection 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% 0.01% Immunity Loss 0.04% 0.04% 0.04% 0.05% 0.05% 0.06% 0.07% 0.08% 0.09% 0.11% 0.12% 0.13% 0.14% 0.15% 0.16% 0.18% 0.17% 0.16% 0.16%
Immune, end of month (%) 13% 14% 16% 18% 20% 23% 27% 31% 35% 40% 44% 48% 52% 55% 58% 59% 57% 55% 53%
Immune, end of month (M) 42 46 52 58 65 75 88 103 117 131 145 159 170 181 191 195 188 181 174
Daily reported rate of COVID infections 60.0 90.0 95.0 85.0 75.0 65.0 64.4 63.7 63.1 62.4 61.8 18.4 5.5 1.6 0.5 0.0 0.0 0.0 0.0
Daily rate of COVID infections, proj (000s) 138 207 219 196 172 147 141 135 129 123 117 33 10 3 1 0 0 0 0
Monthly COVID infections, proj (000s) 4,140 6,210 6,555 5,865 5,158 4,398 4,238 4,053 3,871 3,692 3,517 1,003 286 81 23 0 0 0 0 IFR 0.70% 0.69% 0.67% 0.66% 0.65% 0.63% 0.62% 0.61% 0.60% 0.58% 0.57% 0.56% 0.55% 0.54% 0.53% 0.41% 0.32% 0.25% 0.20%
Monthly Deaths, Directly COVID-19 Related 29 43 44 39 33 28 26 25 23 22 20 6 2 0 0 0 0 0 0
Undercount 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40%
Monthly Deaths, Excess (000s) 41 60 62 54 47 39 37 34 32 30 28 8 2 1 0 0 0 0 0
Total COVID-19 deaths (000s) 339
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Investment Banking Serv./Past 12 Mos.
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