Abstract
Background
New vaccines that are initially approved in clinical trials are not completely free of risks. Systematic vaccine safety surveillance is required for ensuring safety of vaccines. This study aimed to provide a protocol for safety monitoring of COVID-19 vaccines, including Sputnik V, Sinopharm (BBIBP-CorV), COVIran Barekat, and AZD1222.
Methods
This is a prospective cohort study in accordance with a template provided by the World Health Organization. The target population includes citizens of seven cities in Iran who have received one of the available COVID-19 vaccines according to the national instruction on vaccination. The participants are followed for three months after they receive the second dose of the vaccine. For each type of vaccine, 30,000 people will be enrolled in the study of whom the first 1,000 participants are in the reactogenicity subgroup. The reactogenicity outcomes will be followed seven days after vaccination. Any hospitalization, COVID-19 disease, or other minor outcomes will be investigated in weekly follow-ups. The data are gathered through self-reporting of participants in a mobile application or phone calls to them. The study outcomes may be investigated for the third and fourth doses of vaccines. Other long-term outcomes may also be investigated after the expansion of the follow-up period. We have planned to complete data collection for the current objectives by the end 2022.
Discussion
The results of this study will be published in different articles. A live dashboard is also available for managers and policymakers. All data will be available on reasonable requests from the corresponding author.The use of the good and comprehensive guidelines provided by WHO, along with the accurate implementation of the protocol and continuous monitoring of the staff performance are the main strengths of this study which may be very useful for policymaking about COVID-19 vaccination.
Keywords: Cohort profile, COVID-19 vaccine, Iran, Vaccination, Safety
Background
Although there have been three influenza-related pandemics in the world in the last centuries [1], and the spread of the Corona virus will not be the last epidemic in the world [2], with the emergence of the Corona virus 2 (SARS- CoV-2), as a new acute respiratory syndrome, in late 2019, the world entered a health crisis it had never experienced before [3]. With the World Health Organization (WHO) declaring COVID-19 disease as an epidemic on March 11, 2020, joint international efforts to develop a vaccine were intensified [4]. The vaccines, as one of the best interventions developed to control the COVID-19 pandemic, have saved countless lives [5]. However, evaluation of the performance of COVID-19 vaccines in the real world has always been necessary to understand the risks and benefits of vaccination programs, especially regarding the acceptance of the vaccines by the general public, as well as health care providers [6, 7]. Under such circumstances, local health-oriented researches increased with calls from policymakers, officials, and health executives [8]. Numerous studies have examined the efficacy and effectiveness of the COVID-19 vaccines, as well as their short- and long-term side effects [5, 9–11].
To estimate the adverse events due to the vaccines, the WHO recommended designing and implementing prospective cohort studies. Such studies can follow up vaccinated individuals regularly and record the adverse events. Publishing study protocols, as well as informing the scientific community of the studies that have been done or are being done, helps to prevent duplication and results in better coordination of research efforts. On the other hand, making study protocols available to the public has the benefit of disseminating the most modern ideas with regard to study design and data analysis [12]. This study introduces the protocol of a national cohort study in Iran to monitor adverse events and also to detect safety signals after COVID-19 vaccination.
Methods
Study area and participant enrollment
This prospective cohort study, which is in accordance with the guidelines of the WHO [13] follows people who have received one of the COVID-19 vaccines in seven cities of Iran, namely Birjand, Kerman, Mashhad, Rasht, Sanandaj, Shahroud, and Zahedan (Fig. 1). The seven study sites were selected based on the availability of tertiary hospitals with the capacity to diagnose the AESIs, the commitment of local authorities, and the availability of eligible co-investigators around the country. Based on the vaccination program in Iran, at the beginning of the study, mainly health care workers, people over 50 years old, and those with underlying diseases were recruited. With the expansion of the vaccination program, all people over the age of five could participate in the study. Participation in this study is completely voluntary, and the recruitment is done after obtaining written informed consent from the participants. Samples of 1000 people for estimation of the incidence of local and systemic reactions and 30,000 people for other outcomes are planned to participate in each vaccine. In other words, for each vaccine, 30,000 people will be enrolled in the study, of whom the first 1,000 ones are in the reactogenicity subgroup. The Sinopharm vaccine has two subgroups of 30,000 people, one for the ones over 18 and the other for those under 18 years old. The sample size was calculated according to the guideline of the WHO to detect adverse events that occur in more than one case per 10,000 vaccinated individuals [13].
Informed consent
First, trained health personnel explain the objectives of the study and the method of implementation to the people who receive the first dose of COVID-19 vaccines. If individuals wish to participate in the study, they are given two sheets of the informed consent form. One sheet remains with the individual, and the other is archived after the participants sign it. Then, the demographic data of the participants are recorded as well as the contact information of themselves and their next of kin.
Data gathering and follow-up survey
The vaccination data including vaccine name and vaccine batch number, vaccinator name, and date and time of vaccination, are recorded in a specialized software program. The participants are also asked about systemic signs, including fever, nausea, chills, headache, joint pain, myalgia, malaise, and fatigue from three days before vaccination [13]. The first 1000 people for each vaccine (reactogenicity subgroup) will be under active surveillance on a daily basis for seven days after the vaccination for both the first and second doses. In the case of any local adverse effects (including pain, induration, swelling, warmness, redness, bruise, and itching at the injection site) or systemic adverse effects described above, the required data are recorded into the software. The severity of each reactogenicity adverse effect is also assessed by asking questions about the extent to which that adverse effect interferes (does not interfere, somewhat interferes, and considerably interferes) with the individuals’ daily activities (Table 1).
Table 1.
Participant Information | Reactogenicity (pre-vaccination) | Reactogenicity (post-vaccination) | Follow-up questionnaire |
---|---|---|---|
Study Site | Fever | Injection site Pain | Medical care |
Subject ID | Body temperature | Pain Severity | Hospitalization |
Subject Name | Nausea | Redness | Hospitalization date |
phone number | Nausea severity | Redness size | Discharge date |
Name of next kin | Malaise | Swelling | Hospitalization reason |
Phone number of next kin | Malaise severity | Swelling size | Hospitalization diagnostics |
Vaccine dose ID | Chills | Induration | Hospitalization report |
Vaccination date | Chills severity | Induration size | Hospital ID |
Vaccine brand | Headache | Bruise | COVID-19 |
Birth date | Headache severity | Bruise size | COVID-19-Test |
Marital Status | Pain | Warmness | COVID-19 Symptom Onset Date |
Sex | Pain severity | Warmness severity | ICU admission |
Pregnancy | Muscle pain | Muscle pain | ICU admission Date |
Lactation | Muscle pain Severity | Muscle pain Severity | Death |
Chronic respiratory disease | Tired (fatigued) | Tired (fatigued) | Death date |
Chronic heart disease | Tired Severity | Tired Severity | Reason of death |
Chronic liver disease | Chills | Pregnancy | |
Chronic renal disease | Chills severity | Abortion | |
Diabetes | Headache | Menstrual irregularities | |
Immunocompromised / Immunosuppressed | Headache severity | ||
Obesity | Fever | ||
Allergy | Body temperature | ||
Prior Covid | Nausea | ||
Date of Prior Covid | Nausea severity | ||
History of reaction to vaccination | Malaise | ||
Weight | Malaise severity | ||
Height |
To gather the above data, a web application has been designed for participants to record their own reports. This application is installed on their mobile phones on the day of vaccination, and people are asked to record possible reactions for seven days after each injection of the vaccine. If the self-report is not done through the mobile application by 16:00, they are contacted by phone up to twice on the same day. If no response is recorded from the participants and their next of kin by 23:59, the follow-up of that day is recorded as loss to follow up for that day.
The trained officers (interviewers or data collectors) contact the participants on a weekly basis for three months (13 weeks) for single-dose vaccines and four months (17 weeks) for COVIran Barekat, Sinopharm (BBIBP-CorV), and Sputnik V. For the AZD1222 vaccine, the follow-up period is 25 weeks due to the longer interval between the two doses of the vaccine. In this study, any overnight hospitalization or reported death is recorded as a Serious Adverse Event (SAE). In addition to the active surveillance described above, weekly reports are also prepared through self-reporting of participants using the mobile application.
After sending the data by the participants using the mobile application, the information is read instantly in the registration system and used in the live management dashboard. If a participant records an important event, the trained officers are notified immediately and contact the person, and further follow-up is done actively.
Patient and public involvement
Patients and the public are not involved in any way in this study.
Classification of adverse events of vaccination
All hospitalized participants and cases with SAE and Adverse Events of Special Interest (AESIs) are investigated by the classification committees in each study site (Table 2). The members of these committees include infectious disease specialists, immunologists, epidemiologists, internal medicine specialists, cardiologists, clinical pharmacologists, and other specialists, if necessary. The committee is responsible for the examination of the medical records and the attribution of adverse events to the COVID-19 vaccines.
Table 2.
No | Body system | AESI | Risk interval (Days after vaccination) |
---|---|---|---|
1 | Cardiac | Acute cardiovascular injury | D1-D42 |
2 | Dermatologic | Chilblain like lesions | D1-D42 |
3 | Dermatologic | Single organ cutaneous vasculitis | D1-D42 |
4 | Dermatologic | Erythema multiforme | D1-D42 |
5 | Endocrine | Pancreatitis | D1-14 |
6 | Endocrine | Subacute thyroiditis | D1-42 |
7 | Gastrointestinal | Acute liver injury | D1-D42 |
8 | Hematologic | Coagulation disorder (thromboembolism) | D1-D42 |
9 | Hematologic | Thrombocytopenia | D1-D42 |
10 | Immunologic | Vaccine-associated enhanced disease | Unknown |
11 |
Gastrointestinal Respiratory |
Anosmia, ageusia | Unknown |
12 | Immunologic | Anaphylaxis | D0-D7 |
13 | Musculoskeletal | Acute aseptic arthritis | D1-D42 |
14 | Musculoskeletal | Rhabdomyolysis | D1-D7 |
15 | Neurologic | Acute disseminated encephalomyelitis | D1-D42 |
16 | Neurologic | Bell’s palsy | D1-D42 |
17 | Neurologic | Generalized convulsion | D1-D42 |
18 | Neurologic | Guillain-Barré syndrome | D1-D42 |
19 | Neurologic | Meningoencephalitis | D1-D42 |
20 | Renal | Acute renal injury | D1-D42 |
21 | Respiratory | Acute respiratory distress syndrome | D1-D42 |
22 | Immunologic |
Multisystem inflammatory syndrome in children [Only for under 18 Y/O subgroup] |
D1-D42 |
aAdapted from WHO template (Reference No. [13])
If a participant becomes pregnant, the follow-up period will continue until delivery or the end of the pregnancy, and the pregnancy outcome is recorded.
Data analysis and outcomes
Descriptive statistics, including response rate; adverse events by vaccine brand, vaccine dose, age, and sex groups; and other demographic characteristics of participants will be provided. The incidence of SAE and AESI by vaccine brand and the time passed since vaccination dates will be reported. The incidence rate of COVID-19 infection, hospitalization, and death will be provided by calculating the total person/time since the vaccination dates. By considering the calendar time as the time scale, the Cox proportional-hazards model will be used to determine factors associated with COVID-19, infection, and hospitalization and compare different vaccine brands.
The reactogenicity effects will be presented based on vaccine brands, seven days after the vaccination. These reactions will be assessed by comparing the observed rate with the expected rate (obtained from the questionnaires filled three days before the vaccination).
Quality control, monitoring, and reporting
The required staff have been selected through interviews and trained in a four-hour workshop. The first 30 people recruited in each study site are considered in a pilot study and do not enter in the final analysis. The daily performance of the staff is monitored through direct observations and review of the data recording reports in the study software. In the case of any problems in the registration system, the problem is specified and corrected on the same day. Any secular trend is identified and followed through the live and interactive management dashboard (available at: http://shmu-ivss.ir:3838/sample-apps/IVSS).
The interim progress reports are performed weekly. The study software provides common reports. The interim analysis and related reports are provided at monthly intervals. If the recorded adverse events exceed the expected amount obtained in the clinical trial studies, the investigators immediately inform the national authorities. The final analysis and report will be prepared four weeks after the end of the study and will be provided to the national immunization managers.
Discussion
Findings to date
Until the last version of this protocol (May 29, 2022), 105,894 individuals have participated in the study. The mean age of participants is 40.4 ± 19.5 year (range: 5 to 105), and 54,959 (51.9%) of whom are male. Figure 2 shows the age distribution of participants. The number of participants and the percent of those who have received the second dose of vaccine (in parentheses) for each vaccine are 31,690 (96.9%) for Sinopharm, 20,195 (87.6%) for Sputnik V, 23,780 (90.0%) for AZD1222, 16,111 (51.6%) for Sinopharm in under 18 years old participants, and 14,118 (88.6%) for COVIran Barekat.
The number of incident cases of AESI, SAE, abortion, and mortality due to COVID-19 equals 12, 21, 48, and 57, respectively. The AESIs includes four cases with coagulation disorders, (three after AZD1222 and one after Sinopharm vaccination), as well as four cases of generalized convulsion after receiving Sinopharm, Sputnik, and AZD1222 (two cases) vaccines. In addition, four cases of Guillain–Barre syndrome, Diabetic ketoacidosis, Pericarditis and Sub-acute Thyroiditis were detected after receiving Sputnik V, Sinopharm, COVIran Barekat and Sputnik V respectively.
The SAEs diagnosed so far include severe allergy (two cases), abdominal pain (two cases), palpitation and cardiac arrhythmia (three cases), chest pain (five cases), high fever and agitation (two cases), vertigo and faint (three cases), and high blood pressure (two cases).
Sinopharm had higher rate of breakthrough infection than other vaccines. For hospitalization and death, all vaccines provided similar protection after 14 days from the second dose, while AZD1222 was superior to other vaccines in participants receiving only a single dose. Prior Covid-19 disease had a significant protective role on Covid-19 infection. Diabetes, respiratory, cardiac and renal diseases were comorbidities associated with a higher risk of COVID-19 infection.
After injection of the second dose of the vaccine, the incidence of local and systemic adverse effects for all four vaccines has been lower than the first dose. The most frequent local adverse effect has been the pain (in the injection site) while the most frequent systemic adverse effect has been fatigue. AZD1222 has resulted in the highest frequency of local and systemic adverse effects compared to other vaccines.
During the follow-up period, 6,681 cases of COVID-19 have been detected, about half of which have occurred before receiving the second dose. Among the participants with COVID-19, 647 patients have been hospitalized and 57 patients have died.
Further details
The main strengths of this study include its large sample size, investigation and comparison of four vaccines, active surveillance, weekly follow-ups, and investigation and classification of all hospitalized participants. However, virus variants could not be determined, and there is no control group for investigating vaccine effectiveness which can be considered a limitation of the current study.
Acknowledgements
The steering committee for COVID-19 vaccines studies at Iranian ministry of health and medical education provided many technical notes and had full supervision on this study. We really appreciate the efforts of Prof. Akbar Fotouhi, Dr. Bita Mesgarpoor, Prof. Ghobad Moradi, Prof. Farid Najafi, Prof. Masud Yunesian and Prof. Seyed Mohsen Zahraei.
Abbreviations
- WHO
World Health Organization
- AESI
Adverse Events of Special Interest
- SAE
Severe Adverse Event
Authors’ contributions
RA and MHE drafted the manuscript and contributed to conception and design of study and approved submitted manuscript. SM, ME, SSN, SN, MF (6th author), PMS, AAM, AH, FSS, MAM and HF contributed to conception of study and interpretation of results, critically revised the manuscript and gave final approval. MF (12th author), HK, ZE, and EB contributed to acquisition and analysis of data, critically revised the manuscript and gave final approval. All authors agree to be accountable for all aspects of work ensuring integrity and accuracy.
Funding
This study was supported by Shahroud University of Medical Sciences (Grant Number: 99135, 140068), Vice-chancellery at Iranian Ministry of Health and Medical Education (MOHME) (Grant Number: 2302) and World Heal Organization (WHO References: 2021/1169483–0 and 2022/1217943–1). The funders had no role in data collection, analysis and reporting the results.
Availability of data and materials
All data of this study can be provided at the request of the corresponding author (Prof. Mohammad Hassan Emamian, via emamian@shmu.ac.ir). All researchers around the world can send their proposed titles. After screening in a scientific committee, the new titles will be approved and the required data will be available for researchers. The new articles and reports then will be prepared by collaboration with researchers of this study.
Declarations
Ethics approval and consent to participate
The study protocol is approved by the Ethics Committee of Shahroud University of Medical Sciences (ethical code: IR.SHMU.REC.1399.136 and IR.SHMU.REC.1400.196). The study will be conducted in accordance with the Helsinki Declaration. The written informed consent from all participants or their parents / legal guardians, after they informed about the study is obtained.
Consent for publication
Not applicable.
Competing interests
The authors declare that there is no conflict of interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Kilbourne ED. Influenza Pandemics of the 20th Century. Emerg Infect Dis. 2006;12(1):9–14. doi: 10.3201/eid1201.051254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Sridhar D. Covid won’t be the last pandemic. Will we be better prepared for the next one? The Guardian. 2021 Mar 24. Available from: https://www.theguardian.com/commentisfree/2021/mar/24/covid-pandemic-prepared-investment-science. Accessed 2022 Mar 30.
- 3.United Nations Foundation. Global Health. Available from: https://unfoundation.org/what-we-do/issues/global-health/. Accessed 2022 Mar 30.
- 4.World Health Organization. Coronavirus disease (COVID-19): Vaccines. Available from: https://www.who.int/news-room/questions-and-answers/item/coronavirus-disease-(covid-19)-vaccines. Accessed 2022 Mar 30.
- 5.Saeed BQ, Al-Shahrabi R, Alhaj SS, Alkokhardi ZM, Adrees AO. Side effects and perceptions following Sinopharm COVID-19 vaccination. Int J Infect Dis. 2021;111:219–226. doi: 10.1016/j.ijid.2021.08.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Cascini F, Pantovic A, Al-Ajlouni Y, Failla G, Ricciardi W. Attitudes, acceptance and hesitancy among the general population worldwide to receive the COVID-19 vaccines and their contributing factors: A systematic review. EClinicalMedicine. 2021;40:101113. doi: 10.1016/j.eclinm.2021.101113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Solís Arce JS, Warren SS, Meriggi NF, Scacco A, McMurry N, Voors M, et al. COVID-19 vaccine acceptance and hesitancy in low- and middle-income countries. Nat Med. 2021;27(8):1385–1394. doi: 10.1038/s41591-021-01454-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Hanney SR, Gonzalez-Block MA, Buxton MJ, Kogan M. The utilisation of health research in policy-making: concepts, examples and methods of assessment. Health Res Policy Syst. 2003;1(1):2. doi: 10.1186/1478-4505-1-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Tang P, Hasan MR, Chemaitelly H, Yassine HM, Benslimane FM, Al Khatib HA, et al. BNT162b2 and mRNA-1273 COVID-19 vaccine effectiveness against the SARS-CoV-2 Delta variant in Qatar. Nat Med. 2021;27(12):2136–2143. doi: 10.1038/s41591-021-01583-4. [DOI] [PubMed] [Google Scholar]
- 10.Benenson S, Oster Y, Cohen MJ, Nir-Paz R. BNT162b2 mRNA Covid-19 Vaccine Effectiveness among Health Care Workers. N Engl J Med. 2021;384(18):1775–1777. doi: 10.1056/NEJMc2101951. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Simpson CR, Robertson C, Vasileiou E, McMenamin J, Gunson R, Ritchie LD, et al. Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II): protocol for an observational study using linked Scottish national data. BMJ Open. 2020;10(6):e039097. doi: 10.1136/bmjopen-2020-039097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ohtake PJ, Childs JD. Why Publish Study Protocols? Phys Ther. 2014;94(9):1208–1209. doi: 10.2522/ptj.2014.94.9.1208. [DOI] [PubMed] [Google Scholar]
- 13.World Health Organization. Protocol template to be used as template for observational study protocols for cohort event monitoring (CEM) for safety signal detection after vaccination with COVID-19 vaccines. Available from: https://www.who.int/publications-detail-redirect/9789240027398. Accessed 2022 Mar 30.
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data of this study can be provided at the request of the corresponding author (Prof. Mohammad Hassan Emamian, via emamian@shmu.ac.ir). All researchers around the world can send their proposed titles. After screening in a scientific committee, the new titles will be approved and the required data will be available for researchers. The new articles and reports then will be prepared by collaboration with researchers of this study.