Breaking Study on 51 Million-Person: COVID-19 VACCINES Hugely Increased Risk of Respiratory Infections (+ 559 %)

Breaking Study on 51 Million-Person: COVID-19 VACCINES Hugely Increased Risk of Respiratory Infections (+ 559 %)

by Carlo Domenico Cristofori

VERSIONE IN ITALIANO

«We aimed to investigate nationwide trends in respiratory infections during and after the COVID-19 pandemic and to evaluate the risk according to the COVID-19 vaccine dose».

This is the Objectives declared in the Abstract of the new international research “Incidence of Respiratory Infections after the COVID-19 Pandemic (2023–2024) and Its Association of Vaccination Among Entire Populations in Korea” just published on the Journal of Infectious Diseases by Jihun Song1,2Seogsong Jeong1Asaph Young Chun3Jaehun Jung4Sun Jae Park5Sang Min Park5,6

  1. Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea
  2. Biomedical Research Center, Korea University Guro Hospital, Seoul, Republic of Korea
  3. Institute for Pandemic Sciences AI.celerator, Seoul National University, Republic of Korea
  4. Department of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea
  5. Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
  6. Department of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea
The cover of the nwe Korean Stydy (link in the sources)

The bitter conclusion is that COVID-19 “Vaccines” Increase Risk of Respiratory Infections by up to 559% as already warned by an important paper published by Chinese Medical Universities on October, 2020, before the before the release of experimental mRNA and mDNA gene sera onto the market…

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«Using the database, which integrates the insurance claims and vaccination records for the entire Korean population (N=51,645,564), trends were assessed using SARIMAX models. We assessed associations between the doses that have been received until June 1, 2023, and the onset of respiratory infections, using Cox hazard and Fine-Gray models» the researchers explained their methods in the new study.

«Compared with pre-pandemic levels (2017–2019), influenza like illness (ILI) and pneumonia incidences dropped by over 90% during 2020–2021, followed by a resurgence of upper respiratory tract infection (URI) and common cold in 2023–2024. Pertussis incidence rose 46-fold above expected levels in late 2023. Individuals (≥4th dose) had lower risks of ILI (adjusted hazard ratio: 0.55 [95% CI: 0.54–0.57]) and pertussis (0.06 [0.04–0.08]), but higher risks of URI (1.32 [1.32–1.33]) and common cold (1.63 [1.62–1.64]), compared with unvaccinated or partially vaccinated» these are the results highlighted in the Abstract.

Then these are the bitter conclusions:

«With changes in respiratory infection patterns, COVID-19 vaccination may be differentially associated with respiratory infections in the post-pandemic era, reflecting shifts in population-level immunity and highlighting the need for adaptive public health strategies».

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«Across an entire national dataset, each additional COVID-19 “vaccine” dose corresponded to a higher probability of non-COVID respiratory infection — most severely among children. Because the “control” group included single-dose recipients, the true increase relative to the completely unvaccinated population is likely even greater than reported».

The American epidemiologist Nicolas Huscher pointed out in its detailed analysis of the Korean paper.

«This study reveals that COVID-19 “vaccines” have eroded immune function across an entire country — and likely the entire globe» he added in its medical article which you can read below.

Carlo Domenico Cristofori


COVID-19 “Vaccines” Increase Risk of Respiratory Infections by up to 559%

Originally published by Nicolas Hulscher, MPH on his Substack Focal Points – Courageous Discourse

All links to previous Gospa News have been added in the aftermath

An enormous landmark study published in the International Journal of Infectious Diseases, covering every single resident in South Korea — all 51.6 million people — has delivered a striking population-level signal suggestive of vaccine-acquired immunodeficiency syndrome (VAIDS).

This massive dataset shows a consistent dose-dependent pattern: the more COVID-19 “vaccines” a person received, the higher their risk of developing the common cold and upper-respiratory infections. Increases in pneumonia and tuberculosis were identified in stratified analyses by age and infection status. Children ages 0-19 suffered the most.

Study Overview

  • Population: Entire national cohort of South Korea (N = 51,645,564).
  • Analytic cohort: 39,447,030 individuals with complete vaccination + infection records.
  • Observation period: June 1 2023 – September 30 2024.
  • Exposure: Total number of COVID-19 doses.
  • Outcomes: Seven major respiratory diseases — upper-respiratory infection (URI), pneumonia, influenza-like illness (ILI), common cold, scarlet fever, pertussis, and tuberculosis.
  • Covariate adjustments: age, sex, income level, Charlson comorbidity index, prior COVID-19 infection and severity, epidemic phase, and time since last vaccination.

Critical note: the “unvaccinated” reference group included individuals who had received one dose, inflating its infection rate and making the true vaccine-associated risk likely far higher than reported.


Common Cold

Children (ages 0–19) showed the strongest dose-response pattern:

  • After the second dose, risk increased by 299 % (aHR 3.99 [3.78–4.21]).
  • After the third dose, risk increased by 391 % (aHR 4.91 [4.62–5.22]).
  • After the fourth dose or more, risk increased by 559 % (aHR 6.59 [6.00–7.23]).

Older adults (≥ 65 years) followed the same trend:

  • Second dose → +9 % (aHR 1.09 [1.06–1.12]).
  • Third dose → +33 % (aHR 1.33 [1.29–1.37]).
  • Fourth or more doses → +58 % (aHR 1.58 [1.53–1.64]).

Among COVID-positive participants, the same pattern held:

  • Second dose → +5 % (aHR 1.05 [1.03–1.06]);
  • Third dose → +12 % (aHR 1.12 [1.10–1.14]);
  • Fourth or more doses → +36 % (aHR 1.36 [1.34–1.39]).

Even in the pooled population-wide model, common cold incidence rose sharply with each additional dose (aHR 1.23 [1.21–1.25] after the third dose and 1.65 [1.56–1.75] after the fourth or more), confirming the trend across the entire cohort.

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Interpretation: Across every analytic layer—pooled, pediatric, geriatric, and COVID-positive—common-cold incidence climbed steadily from dose 2 through dose 4+, showing a clear, monotonic relationship between cumulative vaccination and ordinary viral infection risk.


Upper-Respiratory Tract Infections

Children (0–19 yrs):

  • Second dose → +62 % (aHR 1.62 [1.58–1.66]).
  • Third dose → +67 % (aHR 1.67 [1.62–1.71]).
  • Fourth or more doses → +83 % (aHR 1.83 [1.75–1.92]).

Older adults (≥ 65 yrs):

  • Second dose → +7 % (aHR 1.07 [1.06–1.09]).
  • Third dose → +32 % (aHR 1.32 [1.30–1.34]).
  • Fourth or more doses → +57 % (aHR 1.57 [1.54–1.59]).

COVID-positive subgroup:

  • Second dose → +2 % (aHR 1.02 [1.01–1.03]);
  • Third dose → +12 % (aHR 1.12 [1.11–1.13]);
  • Fourth or more doses → +32 % (aHR 1.32 [1.30–1.34]).

The pooled model also showed a consistent upward trend—aHR 1.14 after the second dose and 1.48 after the third—indicating that the dose-dependent rise in upper-respiratory infection risk persists even without stratification.

Interpretation: the rise was consistent across all groups and persisted even after adjustment for age, sex, income level, comorbidities, prior infection severity, infection phase, and time since last vaccination.


Tuberculosis

  • General population: overall aHRs hovered near 1.0 (no significant change) across all dose groups.
  • COVID-positive subset: clear upward trend with dose number:
    • Second dose → aHR 1.24 (1.01–1.52) (+24 % risk).
    • Fourth or more doses → aHR 1.35 (1.02–1.77) (+35 % risk).

Interpretation: a measurable increase in post-infection or reactivation tuberculosis among those previously infected with SARS-CoV-2 who went on to receive multiple boosters.

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Pneumonia

Among COVID-negative participants, pneumonia incidence rose consistently with additional vaccine doses:

  • Second dose → +34 % (aHR 1.34 [1.31–1.38])
  • Fourth or more doses → +91 % (aHR 1.91 [1.84–1.99])

Interpretation: This clear dose-response pattern suggests impaired respiratory defense or susceptibility to secondary bacterial infection following repeated mRNA exposure.

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Influenza-Like Illness (ILI) and Pertussis — the “Protective” Mirage

Regression models appeared to show lower adjusted hazard ratios for these two conditions—approximately 0.55 for ILI and 0.06 for pertussis after the fourth or later dose—which would suggest a protective effect.

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In context, however, these apparent reductions are almost certainly statistical artifacts driven by healthy-user bias, diagnostic-coding overlap, and case misclassification. Many mild respiratory infections that might have been coded as influenza-like illness or pertussis before 2020 were likely recorded as “COVID-19” during the post-vaccine era, artificially deflating their apparent incidence in vaccinated groups.

Crucially, the study’s national ARIMAX time-series revealed a 46-fold surge in confirmed pertussis cases across Korea during 2023, directly contradicting any notion of real-world protection.

When both the main and supplementary analyses are considered together, the dose-dependent increases are clear for the common cold and upper-respiratory infections across nearly all age and infection strata, with smaller but directionally similar trends for pneumonia and tuberculosis. From the second dose onward, risk ratios rise almost linearly through the fourth and higher doses, revealing a consistent pattern of heightened susceptibility to non-COVID respiratory infections.

While the pooled models already showed increases for upper-respiratory infections and the common cold, the full extent of risk—including the rises in pneumonia and tuberculosis—only becomes clear in the stratified analyses presented in the supplementary tables. By averaging across all ages and infection groups, the main text effectively diluted these signals—creating the impression of neutrality.

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This pattern represents a serious population-level signal suggestive of VAIDS. Clinically, such immune dysregulation may present as a heightened incidence of upper respiratory infections and common colds, in clear dose-dependent correlation with repeated mRNA vaccination.

We are now advancing a landmark investigation into VAIDS using thousands of real-world patient records to evaluate long-term immune function across four key exposure groups—vaccinated/infected, vaccinated/uninfected, unvaccinated/infected, and unvaccinated/uninfected controls. These data allow precise comparison of lymphocyte profiles, antibody class switching, and T-cell exhaustion markers to determine how repeated mRNA vaccination and SARS-CoV-2 infection have reshaped human immunity. Preliminary signals point to immune exhaustion, IgG4 dominance, and secondary immunodeficiency, consistent with the observed surge in chronic infections and dose-dependent vulnerability to common respiratory illness.

CONCLUSION

Across an entire national dataset, each additional COVID-19 “vaccine” dose corresponded to a higher probability of non-COVID respiratory infection — most severely among children.

Because the “control” group included single-dose recipients, the true increase relative to the completely unvaccinated population is likely even greater than reported.

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This study reveals that COVID-19 “vaccines” have eroded immune function across an entire country — and likely the entire globe.

Originally published by Nicolas Hulscher, MPH on his Substack Focal Points – Courageous Discourse

Nicolas Hulscher, MPH – Epidemiologist and Foundation Administrator, McCullough Foundation.

Support the mission: mcculloughfnd.org


MAIN SOURCE

Journal of Infectious Diseases – Incidence of Respiratory Infections after the COVID-19 Pandemic (2023–2024) and Its Association of Vaccination Among Entire Populations in Korea

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Carlo Domenico Cristofori

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