A major new study from world-renowned scientists at Johns Hopkins University has confirmed that Covid “vaccines” are reducing human populations by lowering birth rates.

The peer-reviewed study, led by Dr. Kunchok Dorjee, is the most comprehensive evaluation to date of the association between Covid “vaccination” and reproductive disturbances.

The massive investigation included a staggering 1.9 million women from around the world.

The team of researchers analyzed 17 individual global studies related to birth rates and menstrual cycles among women who had received mRNA injections.

The study warns of “significant risks” to women’s fertility and birth rates following Covid “vaccination,” aligning with previous warnings of “reproductive destruction” caused by the injections.

The findings of the study were published in PLOS ONE journal.

During the study, the researchers reviewed literature from January 2021 to November 2023, across Medline, Embase, and Web of Science.

They selected 17 studies meeting stringent inclusion criteria.

Outcomes assessed included changes in menstrual cycle length, heavier flow, intermenstrual bleeding, and post-menopausal bleeding.

A fixed-effects meta-analysis was conducted with Shore’s adjusted confidence intervals to account for heterogeneity.

The study included a total of 1,911,755 participants, with 7 prospective cohorts, 4 retrospective cohorts, and 5 cross-sectional.

The “vaccine” brands included were Pfizer, Moderna, Janssen (J&J), and AstraZeneca.

The women included in the study were mostly menstruating, non-pregnant, non-lactating women ages 18–50.

The researcher also included three studies involving post-menopausal women.

The study found a 19% higher relative risk of increased menstrual cycle length following Covid “vaccination” (standardized risk ratio [sRR]: 1.19; 95% CI: 1.11–1.26).

On average, the first vaccine dose was associated with a 0.34-day increase in cycle length.

The second dose is with a 0.62-day increase.

However, this effect was resolved by the second cycle post-vaccination, suggesting the change was temporary.

When analyzed by vaccine brand, Pfizer and Moderna were associated with a 15% increased risk of cycle lengthening (sRR: 1.15), AstraZeneca with a 27% increase (sRR: 1.27), and Janssen with a 69% increase (sRR: 1.69), though the latter was based on a relatively small sample (n = 751).

The study also evaluated changes in menstrual bleeding patterns.

Risk for heavier flow was not statistically significant.

Post-menopausal bleeding showed a 7% increase (sRR: 1.07) following both doses.

Intermenstrual bleeding increased by 16% after the first dose and 41% after the second.

While absolute increases in cycle length were under a day, the relative risk signals are consistent and brand-dependent, with higher risk following Janssen and AstraZeneca vaccines.

Notably, cycle disruptions appeared dose-responsive—more pronounced after the second dose—and transient, fading by the second menstrual cycle.

However, these results should not be dismissed as merely anecdotal.

The inclusion of over 1.3 million post-menopausal women and the observed uptick in post-menopausal bleeding, however slight, raises flags about broader immunological or endocrine effects.

Further, the study hints at a possible cumulative effect—one that doesn’t follow a linear dose-response model but suggests a threshold phenomenon, especially when multiple doses are given in a single cycle.

The news comes amid an explosive warning from Spain after a group of leading researchers confirmed that miscarriages are surging among Covid “vaccinated” women.

A recent peer-reviewed study, led by Professor Noelia Rodríguez-Blanco of the Universidad Europea de Valencia SLU, has found that Covid-vaccinated women had a higher rate of miscarriage if they had also contracted COVID-19.

Alarmingly, however, these findings were buried in the data of the study.

The main “Results” section of the study’s paper only chronicled how the “vaccinated” moms had fewer cold-like symptoms.

The researchers retrospectively examined a sample of 156 pregnant women who tested positive for COVID-19 during pregnancy between 2020 and 2022.

Of these, 45 women had received at least one Covid “vaccine” dose.

Among the vaccinated group, six women (13.3%) had miscarriages.

Five of the miscarriages occurred in women who were vaccinated in the first or second trimester of pregnancy.

Another five miscarriages were recorded among the larger group (111) of unvaccinated women, resulting in a miscarriage rate of 4.5%.

While downplaying the increased rate of child deaths, the study championed the Covid injection for successfully reducing the rates of pneumonia, vomiting, and headache.

However, the unexpectedly high miscarriage risk reported among early-pregnancy infections in “vaccinated” women cannot be dismissed.

Another recent study documented how Covid “vaccines” are reducing women’s lifelong egg supply, leading to infertility.

Although that study was compiled using Covid-vaccinated rats, experts warn that the same impact among humans is also likely.

In the “Conclusions” section, the study said:

“Our findings suggest that both mRNA and inactivated COVID-19 vaccines may detrimentally impact ovarian reserve in rats, primarily through accelerated follicular loss and alterations in apoptotic pathways during folliculogenesis.

“Given these observations in a rat model, further investigations into the vaccines’ effects on human ovarian reserve are needed.”

Similar findings, coined “reproductive destruction,” were found in government data and reported on by Naomi Wolf and Amy Kelly of Daily Clout.

The growing body of evidence continues to show that the mass global “vaccination” campaign has led to reduced birth rates.

At the same time, global excess death rates have been skyrocketing over the past four years.

As experts have been warning, the human race may now be on the verge of a depopulation crisis.

In fact, it may have already begun.

Source:  https://slaynews.com/news/johns-hopkins-study-1-9-million-women-confirms-covid-vaccine-depopulate/

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