| Literature DB >> 34181273 |
Parris Diaz1,2, Pritika Reddy3, Reshna Ramasahayam3, Manish Kuchakulla3, Ranjith Ramasamy3.
Abstract
The Emergency Use Authorization (EUA) of the COVID-19 vaccine on December 11, 2020 has been met with hesitancy for uptake with some citing potential impacts on future fertility. We hypothesised that irrespective of sex, fertility-related queries would markedly increase during the 48 days following EUA of the coronavirus vaccine. We sought to objectively identify trends in internet search queries on public concerns regarding COVID-19 vaccine side effects on fertility that might impact vaccine uptake. We used Google Trends to investigate queries in Google's Search Engine relating to the coronavirus vaccine and fertility between 10/24/2020 and 1/27/2021. The five most queried terms were identified as: 'COVID Vaccine Fertility', 'COVID Vaccine and Infertility', 'COVID Vaccine Infertility', 'COVID Vaccine Fertility CDC', and 'COVID 19 Vaccine Infertility' with an increase of 710.47%, 207.56%, 264.35%, 2,943.7%, and 529.26%, respectively, all p < .001. This study indicates that there was an increase in online COVID-19 vaccine-related queries regarding fertility side effects coinciding with the Emergency Use Authorization (EUA) on December 11, 2020. Our results objectively evidence the increased concern regarding the vaccine and likely demonstrate a major cause for hesitancy in vaccine uptake. Future studies and counselling with patients should be undertaken to help mitigate these concerns.Entities:
Keywords: COVID-19; Google Trends; fertility; infertility; vaccine
Mesh:
Substances:
Year: 2021 PMID: 34181273 PMCID: PMC8420403 DOI: 10.1111/and.14156
Source DB: PubMed Journal: Andrologia ISSN: 0303-4569 Impact factor: 2.532
Results of paired t‐test & Descriptive Statistics for Mean Google Trends search volume index 48 days before and after Emergency Use Authorization (EUA) of the Pfizer‐BioNTech COVID‐19 vaccine
| Keyword | Time period relative to EUA | Mean (SVI) | Std. Deviation | Std. Error Mean | Lower 95% CI | Upper 95% CI | % Change | t stat. | t crit. |
|
|
|---|---|---|---|---|---|---|---|---|---|---|---|
| COVID vaccine fertility | 48 days before | 5.98 | 13.47 | 13.33 | 2.07 | 9.89 | +710.47 | −11.26 | 2.01 | 47 | <0.001 |
| 48 days after | 48.46 | 20.41 | 20.19 | 42.53 | 54.38 | ||||||
| COVID vaccine and infertility | 48 days before | 7.44 | 19.93 | 19.73 | 1.65 | 13.22 | +207.56 | −3.25 | 2.01 | 47 | <0.001 |
| 48 days after | 22.87 | 21.90 | 21.67 | 16.51 | 29.23 | ||||||
| COVID 19 vaccine infertility | 48 days before | 11.27 | 28.13 | 27.84 | 3.10 | 19.44 | +264.35 | −5.66 | 2.01 | 47 | <0.001 |
| 48 days after | 41.06 | 19.98 | 19.77 | 35.26 | 46.86 | ||||||
| COVID vaccine fertility CDC | 48 days before | 0 | – | – | – | – | +2,943.70 | −7.64 | 2.01 | 47 | <0.001 |
| 48 days after | 30.44 | 27.58 | 27.29 | 22.43 | 38.47 | ||||||
| COVID 19 vaccine infertility | 48 days before | 3.71 | 10.39 | 10.29 | 0.69 | 6.73 | +529.26 | −4.58 | 2.01 | 47 | <0.001 |
| 48 days after | 23.33 | 26.05 | 25.78 | 15.77 | 30.90 |
Results of Mean Google Trends search volume index by geographic region 48 days after Emergency Use Authorization (EUA) of the Pfizer‐BioNTech COVID‐19 vaccine
| Keyword | US State (SVI) | Metropolitan Area (SVI) | Country (SVI) |
|---|---|---|---|
|
| 1. South Dakota (100) | 1. Sioux Falls (Mitchell), | 1. United Kingdom (100) |
| 2. Nebraska (50) | 2. Lincoln & Hastings‐Kearney, NE (98) | 2. Ireland (74) | |
| 3. Maine (39) | 3. Dayton, OH (92) | 3. United States(47) | |
| 4. Connecticut (32) | 4. Des Moines‐Ames, IA (82) | 4. United Arab Emirates (29) | |
| 5. Montana (26) | 5. Champaign & Springfield‐Decatur, IL (71) | 5. Canada (26) | |
|
| 1. Nebraska (100) | 1. St. Louis, MO (100) | 1. United States (100) |
| 2. Wisconsin (83) | 2. Hartford & New Haven, CT (75) | 2. Ireland (50) | |
| 3. Indiana (77) | 3. Indianapolis, IN (49) | 3. United Kingdom (44) | |
| 4. Iowa (67) | 4. Boston, MA‐Manchester, NH (41) | 4. Canada (31) | |
| 5. Ohio (62) | 5. Cleveland‐Akron(Canton), OH (36) | N/A | |
|
| 1. North Dakota (100) | 1. Sioux Falls(Mitchell), | 1. United States (100) |
| 2. Nebraska (99) | 2. Wichita‐Hutchinson, KS (99) | 2. Ireland (63) | |
| 3. Vermont (90) | 3. Omaha, NE (87) | 3. United Kingdom (56) | |
| 4. Delaware(70) | 4. Cedar Rapids‐Waterloo‐Iowa City & Dubuque, IA (67) | 4. Canada (30) | |
| 5. New Hampshire (62) | 5. Little Rock‐Pine Bluff, AR(62) | 5. Australia (8) | |
|
| 1. New York (100) | 1. Philadelphia, PA(100) | 1. United States (100) |
| 2. North Caroline (74) | 2. Chicago, IL (82) | 2. United Kingdom (33) | |
| 3. Ohio (69) | 3. Atlanta, GA (79) | 3. Canada (23) | |
| 4. Colorado (65) | 4. Boston, MA‐Manchester, NH (74) | N/A | |
| 5. Virginia (63) | 5. Denver, CO (73) | N/A | |
|
| 1. Pennsylvania (100) | 1. New York, NY (100) | 1. Slovenia (100) |
| 2. New York (91) | 2. Los Angeles, CA (55) | 2. United States (33) | |
| 3. Illinois (64) | N/A | 3. United Kingdom (17) | |
| 4. California (43) | N/A | 4. Canada (9) | |
| 5. Ohio (37) | N/A | N/A |