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Megan M Sheehan, Anita J Reddy, Michael B Rothberg, Reinfection Rates Among Patients Who Previously Tested Positive for Coronavirus Disease 2019: A Retrospective Cohort Study, Clinical Infectious Diseases, Volume 73, Issue 10, 15 November 2021, Pages 1882–1886, https://doi.org/10.1093/cid/ciab234
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Abstract
Protection afforded from prior disease among patients with coronavirus disease 2019 (COVID-19) infection is unknown. If infection provides substantial long-lasting immunity, it may be appropriate to reconsider vaccination distribution.
This retrospective cohort study of 1 health system included 150 325 patients tested for COVID-19 infection via polymerase chain reaction from 12 March 2020 to 30 August 2020. Testing performed up to 24 February 2021 in these patients was included. The main outcome was reinfection, defined as infection ≥90 days after initial testing. Secondary outcomes were symptomatic infection and protection of prior infection against reinfection.
Of 150 325 patients, 8845 (5.9%) tested positive and 141 480 (94.1%) tested negative before 30 August. A total of 1278 (14.4%) positive patients were retested after 90 days, and 62 had possible reinfection. Of those, 31 (50%) were symptomatic. Of those with initial negative testing, 5449 (3.9%) were subsequently positive and 3191 of those (58.5%) were symptomatic. Protection offered from prior infection was 81.8% (95% confidence interval [CI], 76.6–85.8) and against symptomatic infection was 84.5% (95% CI, 77.9–89.1). This protection increased over time.
Prior infection in patients with COVID-19 was highly protective against reinfection and symptomatic disease. This protection increased over time, suggesting that viral shedding or ongoing immune response may persist beyond 90 days and may not represent true reinfection. As vaccine supply is limited, patients with known history of COVID-19 could delay early vaccination to allow for the most vulnerable to access the vaccine and slow transmission.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected more than 28 million Americans and more than 117 million individuals worldwide as of 7 March 2021. This number is likely underestimated due to limited testing and lack of surveillance for asymptomatic infections [1]. The protection afforded by SARS-CoV-2 infection remains unknown. There are several reports of reinfection with phylogenetically distinct variants of SARS-CoV-2, including in the United States, but these are rare [2–4]. Studies of patients infected during the SARS pandemic of 2003 suggest that antibody response from infection persists for 2 years [5]. In contrast, infection with common seasonal strains of human coronavirus does not confer lasting protection against reinfection, although reinfection within 6 months is uncommon [6].
There are now several vaccines that have been licensed in various countries. Vaccine efficacy ranges from 62% to 95% [7, 8]. Due to shortages in vaccine supply, almost all countries have created prioritization schemes to ensure that those at highest risk from the virus (ie, elderly patients and those with comorbidities) and front-line healthcare workers receive the vaccine first. However, demand remains high, and additional strategies, such as administering only 1 dose of the 2-dose regimen, have been proposed [9, 10].
Given the widespread nature of the pandemic and the lack of available testing, it is likely that a substantial portion of the population has already been infected with coronavirus disease 2019 (COVID-19). If such infection offers long-term protection, then vaccination of previously infected persons could be delayed until there is sufficient supply to vaccinate the entire population. Unfortunately, information on the long-term immunity conferred by infection with SARS-CoV-2 is scant. Current Centers for Disease Control and Prevention (CDC) guidelines make no exceptions for persons with prior history of SARS-CoV-2 infection [11]. However, if infection provides substantial long-lasting immunity, it may be appropriate to reconsider this recommendation. In order to help answer this question, we examined reinfection rates among a large number of patients with documented COVID-19 infection.
METHODS
Patients and Outcomes
Patients tested for COVID-19 infection via polymerase chain reaction (PCR) at 1 health system in Ohio and Florida from 12 March 2020 to 24 February 2021 were included. Health system employees were excluded due to privacy concerns. Initial infection status was based on tests performed prior to 30 August 2020. The primary outcome was a positive PCR test following the initial test. Per CDC definition, retesting and reinfection are defined as occurring ≥90 days after initial testing [12]. Therefore, for patients who initially tested positive, we considered any positive test >90 days after the initial infection to be a reinfection and ignored any repeat positive test within 90 days. To avoid bias, patients with baseline negative status who tested positive within 90 days of their initial test were excluded. Reinfections were reviewed to determine symptoms and severity. Each test had an indication and presence of symptoms recorded by the ordering provider, which was used to determine if the patient was symptomatic.
Data Analyses
For each group of patients, we determined the reinfection rate using the total number of patients in that group as the denominator. Infection rates were determined for distinct periods following the initial test: 4–5 months, 6–7 months, and ≥8 months. Protection offered by prior infection was calculated as 1 minus the ratio of infection rate for positive patients divided by the infection rate for negative patients. We determined the protectiveness in each period and overall. We then repeated the analysis including only symptomatic infections in the numerator. Analyses were conducted using R v.4.02 (R Core Team, Vienna). The Cleveland Clinic Institutional Review Board approved this work.
RESULTS
During the study period, 612 611 tests were collected from 386 336 individuals (average age, 51.4 ± 22.4 years; 54.5% female), with a 9.9% overall positivity rate. Median tests per patient was 1 (interquartile range, 1–2), and 150 325 (38.9%) patients had tests performed before 30 August. Of those, 8845 (5.9%) individuals tested positive and 141 480 (94.1%) tested negative (Table 1). After at least 90 days, 1278 (14.4%) of the positive patients were retested, and 63 of those (4.9%) were reviewed for possible reinfection. One patient had an immediate negative test result and was excluded due to a presumed false-positive test result.
Characteristics of Patients With Initial Positive Tests Compared With Those With Initial Negative Tests
Characteristic . | Initial Positive Test . | Initial Negative Test . |
---|---|---|
Number of patients | 8845 | 141 480 |
Age ± SD, y | 52.3 ± 21.8 | 54.8 ± 21.4 |
Sex female (%) | 4605 (52.1) | 78 202 (55.1) |
Number who were retested (%) | 1278 (14.4) | 39 487 (27.9) |
Age ± SD, y | 55.9 ± 20.4 | 57.0 ± 20.4 |
Sex female (%) | 700 (54.8) | 22 091 (55.9) |
Retest positive, any (%) | 62 (0.7) | 5449 (3.9) |
Time to positive retest ± SD, d | 138.9 ± 46.3 | 180.6 ± 51.2 |
Retest positive, symptomatic (%) | 31 (0.4) | 3191 (2.3) |
Any infection | Symptomatic infection | |
Effectivenessa | 81.8% | 84.5% |
90–150 d | 60.0% | 71.0% |
151–210 d | 90.6% | 90.0% |
After 210 d | 93.9% | 91.5% |
Characteristic . | Initial Positive Test . | Initial Negative Test . |
---|---|---|
Number of patients | 8845 | 141 480 |
Age ± SD, y | 52.3 ± 21.8 | 54.8 ± 21.4 |
Sex female (%) | 4605 (52.1) | 78 202 (55.1) |
Number who were retested (%) | 1278 (14.4) | 39 487 (27.9) |
Age ± SD, y | 55.9 ± 20.4 | 57.0 ± 20.4 |
Sex female (%) | 700 (54.8) | 22 091 (55.9) |
Retest positive, any (%) | 62 (0.7) | 5449 (3.9) |
Time to positive retest ± SD, d | 138.9 ± 46.3 | 180.6 ± 51.2 |
Retest positive, symptomatic (%) | 31 (0.4) | 3191 (2.3) |
Any infection | Symptomatic infection | |
Effectivenessa | 81.8% | 84.5% |
90–150 d | 60.0% | 71.0% |
151–210 d | 90.6% | 90.0% |
After 210 d | 93.9% | 91.5% |
Abbreviation: SD, standard deviation.
aEffectiveness = 1 – ((62/8845)/(5449/141 480))
Characteristics of Patients With Initial Positive Tests Compared With Those With Initial Negative Tests
Characteristic . | Initial Positive Test . | Initial Negative Test . |
---|---|---|
Number of patients | 8845 | 141 480 |
Age ± SD, y | 52.3 ± 21.8 | 54.8 ± 21.4 |
Sex female (%) | 4605 (52.1) | 78 202 (55.1) |
Number who were retested (%) | 1278 (14.4) | 39 487 (27.9) |
Age ± SD, y | 55.9 ± 20.4 | 57.0 ± 20.4 |
Sex female (%) | 700 (54.8) | 22 091 (55.9) |
Retest positive, any (%) | 62 (0.7) | 5449 (3.9) |
Time to positive retest ± SD, d | 138.9 ± 46.3 | 180.6 ± 51.2 |
Retest positive, symptomatic (%) | 31 (0.4) | 3191 (2.3) |
Any infection | Symptomatic infection | |
Effectivenessa | 81.8% | 84.5% |
90–150 d | 60.0% | 71.0% |
151–210 d | 90.6% | 90.0% |
After 210 d | 93.9% | 91.5% |
Characteristic . | Initial Positive Test . | Initial Negative Test . |
---|---|---|
Number of patients | 8845 | 141 480 |
Age ± SD, y | 52.3 ± 21.8 | 54.8 ± 21.4 |
Sex female (%) | 4605 (52.1) | 78 202 (55.1) |
Number who were retested (%) | 1278 (14.4) | 39 487 (27.9) |
Age ± SD, y | 55.9 ± 20.4 | 57.0 ± 20.4 |
Sex female (%) | 700 (54.8) | 22 091 (55.9) |
Retest positive, any (%) | 62 (0.7) | 5449 (3.9) |
Time to positive retest ± SD, d | 138.9 ± 46.3 | 180.6 ± 51.2 |
Retest positive, symptomatic (%) | 31 (0.4) | 3191 (2.3) |
Any infection | Symptomatic infection | |
Effectivenessa | 81.8% | 84.5% |
90–150 d | 60.0% | 71.0% |
151–210 d | 90.6% | 90.0% |
After 210 d | 93.9% | 91.5% |
Abbreviation: SD, standard deviation.
aEffectiveness = 1 – ((62/8845)/(5449/141 480))
Of the 62 reinfections, 31 were symptomatic; shortness of breath was the most common symptom and, interestingly, no patient lost the sense of smell (Figure 1). Eighteen symptomatic patients were hospitalized within 30 days of the positive test, 5 with symptoms considered possibly related to COVID-19. Of those 5, none required intensive care or needed mechanical ventilation. Many reinfections occurred close to 90 days after the initial infection, and the average time to reinfection was 138.9 ± 46.3 days (range, 90.2–294.9 days; Figure 2).

Symptoms of 31 patients with reinfection. Abbreviation: COVID-19, coronavirus disease 2019.

Of those with negative initial tests, 27.9% (39 487/141 480) were retested and 5449 of those (13.8%) were positive; 2258 (41.4%) positive tests were performed for preprocedural screening or had an asymptomatic indication. The protection of prior infection against reinfection was 81.8% (95% confidence interval [CI], 76.6–85.8). Protection against symptomatic infection was 84.5% (95% CI, 77.9–89.1). Risk of reinfection was greatest just after 90 days and declined thereafter (Figure 3). Consequently, protection against reinfection was lowest in months 4 and 5 and increased for up to 8 months after infection.

Discussion
In this retrospective cohort, patients who initially tested positive for COVID-19 were less likely to be subsequently tested or to test positive than those who initially tested negative during the same time period. Most reinfected patients were asymptomatic. Protection of prior infection against symptomatic disease was 85%; even when asymptomatic cases were included, protection offered against reinfection was 82%. Few patients were hospitalized following reinfection, and none with COVID-related symptoms required intensive care, suggesting a high level of protection against severe disease. Six months after infection, protection against symptomatic disease exceeded 90%.
Others have estimated similar protectiveness of prior infection. Among healthcare workers in the United Kingdom, the presence of antibodies was associated with 91% reduced risk of symptomatic reinfection in the following 6 months [13]. In the Moderna vaccine study, previous infection afforded 76% protection in the placebo arm, although the numbers were exceedingly small (only 1 case of reinfection) and the confidence intervals were exceptionally wide [8]. In a retrospective observational study of the population of Austria, infection during the first wave was associated with a 91% reduction for odds of reinfection compared with the general population [14].
Our measure of reinfection may have overestimated the actual reinfection rate. Because some patients may continue to shed virus for many months, it can be difficult to differentiate between reinfection and persistent shedding. One cohort study found that 5.3% of participants were still positive at 90 days, which is substantially higher than what we observed, though most patients in our study were not retested [15]. Patients with symptoms may be more likely to represent true reinfection, but the symptoms of COVID-19 that we observed were generally nonspecific and could have represented exacerbations of other chronic diseases. For example, patients hospitalized for congestive heart failure and shortness of breath were considered to be symptomatic. Interestingly, the one specific symptom of COVID-19 infection, loss of smell, was not observed in any cases. Moreover, protectiveness increased over time, which was unexpected. This could be explained by persistent shedding, particularly in those with positive tests close to 90 days after infection. If some reinfections were actually just persistent shedding, then protection against reinfection would be higher than what we report. Another cohort study of patients with index antibody tests found that risk of subsequent infection in patients with positive index antibody tests decreased over time, suggesting that early positive testing represents prolonged viral shedding [16].
There are other reasons to believe that immunity will be long-lasting. A study of 705 participants in the United Kingdom with sequential blood sample draws found that 87.8% remained seropositive for at least 6 months after initial infection [17]. Surprisingly, only 5 participants in that study became negative within 3 months of initial infection. Another study assessed immunological memory in samples from COVID-19 cases and found that 95% of patients had immune memory 6 months after infection, including antibody or T-cell responses [18]. Memory B cells were present for more than 6 months in another study [19]. This suggests that immunity persists beyond the 90-day time period. In healthcare workers with previous infection based on serology testing, antibody titer responses to single doses of mRNA vaccines were 36 times higher than those without previous infection, indicating that protective immunity may allow for an altered vaccination strategy in these patients, such as single-dose vaccines or delayed vaccination [20].
Persistent shedding may be characterized by low viral loads or ongoing immune response rather than being a transmissible state. Because asymptomatic transmission is an important means of viral spread, it is crucial to differentiate between asymptomatic reinfection and post-symptomatic viral shedding. If previous infection does not prevent asymptomatic infection, it is possible that previously infected patients could spread the virus, even if they experience no symptoms themselves. Several observational cohorts suggest that this is not the case. One study that consisted of mainly nonhospitalized individuals found that 14.3% of participants were repeatedly positive after recovery. There was no transmission among 757 close contacts of these post-symptomatic carriers [15]. Another study of 285 patients with positive PCR detected after recovery found that no new cases attributed to those patients occurred in 790 close contacts [21].
Our study is limited by lack of access to testing results occurring outside of our health system. It is possible that patients were tested for COVID-19 outside the health system, especially if they were asymptomatic, since the Cleveland Clinic did not test asymptomatic patients unless they were admitted to the hospital or underwent a procedure/surgery. It is also possible that asymptomatic patients were not retested at all. This would result in an underestimate of the reinfection rate. However, there is no reason to suspect that previously positive patients would be more likely to be retested outside the system than would previously negative patients, which is one reason we included the comparison group. Repeat positive tests could have represented persistent shedding, in which case our estimates of protective effectiveness against true reinfection are too low. Further studies are needed to determine if other SARS-CoV-2 lineages, such as those found in Brazil, South Africa, and the United Kingdom, are susceptible to immunity generated from previous infection or vaccination. Sequencing was not routinely performed in our community during this study period, so we were unable to determine whether possible reinfections represent unique viral strains. Changes in behavior following infection may have also contributed to the observed decrease in infection incidence. It is not known whether prior infection is associated with subsequent changes in behavior, including social distancing, mask wearing, and test seeking. It is possible that following infection, individuals become more cautious or they may feel that they have some protection and therefore be less cautious. The former would tend to reduce detected disease incidence, while the latter would increase it.
In this study of patients in 1 health system, previous infection appears to offer high levels of protection against symptomatic infection, as well as severe disease, for at least 8 months. In light of these findings, as well as other evidence of the persistence of immunity after infection, the CDC may wish to revisit its recommendation to immediately vaccinate previously infected individuals. Based on this study, patients with known history of infection could consider delaying vaccination for at least 8 months, freeing up vaccine to protect the most vulnerable.
Note
Potential conflicts of interest. All authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest.
References
Department of Health and Social Care.