Conceived and designed the experiments: PKR BMS EAB AMF SPL. Performed the experiments: MAD KJ MI KK EC BMS MA AMQR MR EAB. Analyzed the data: PKR MAD MR. Contributed reagents/materials/analysis tools: MR JY. Wrote the paper: PKR MAD KJ MI KK EC BMS MA AMQR MR JY WAB EAB AMF SPL.
There is little evidence for the efficacy of handwashing for prevention of influenza transmission in resource-poor settings. We tested the impact of intensive handwashing promotion on household transmission of influenza-like illness and influenza in rural Bangladesh.
In 2009–10, we identified index case-patients with influenza-like illness (fever with cough or sore throat) who were the only symptomatic person in their household. Household compounds of index case-patients were randomized to control or intervention (soap and daily handwashing promotion). We conducted daily surveillance and collected oropharyngeal specimens. Secondary attack ratios (SAR) were calculated for influenza and ILI in each arm. Among controls, we investigated individual risk factors for ILI among household contacts of index case-patients.
Among 377 index case-patients, the mean number of days between fever onset and study enrollment was 2.1 (SD 1.7) among the 184 controls and 2.6 (SD 2.9) among 193 intervention case-patients. Influenza infection was confirmed in 20% of controls and 12% of intervention index case-patients. The SAR for influenza-like illness among household contacts was 9.5% among intervention (158/1661) and 7.7% among control households (115/1498) (SAR ratio 1.24, 95% CI 0.92–1.65). The SAR ratio for influenza was 2.40 (95% CI 0.68–8.47). In the control arm, susceptible contacts <2 years old (RRadj 5.51, 95% CI 3.43–8.85), those living with an index case-patient enrolled ≤24 hours after symptom onset (RRadj 1.91, 95% CI 1.18–3.10), and those who reported multiple daily interactions with the index case-patient (RRadj 1.94, 95% CI 1.71–3.26) were at increased risk of influenza-like illness.
Handwashing promotion initiated after illness onset in a household member did not protect against influenza-like illness or influenza. Behavior may not have changed rapidly enough to curb transmission between household members. A reactive approach to reduce household influenza transmission through handwashing promotion may be ineffective in the context of rural Bangladesh.
ClinicalTrials.gov
Seasonal influenza has been increasingly recognized as an important cause of acute respiratory infection globally, estimated to cause 90 million new cases worldwide among young children in 2008,[
Among all of the contacts of a person infected with influenza virus in and out of the home, household members are likely to be at highest risk of exposure to the virus. In the United States, 13% of household contacts of patients with confirmed and probable influenza A(H1N1)pdm09 infection (2009 H1N1) developed respiratory symptoms during the 7 days following the onset of influenza symptoms in the index case-patient.[
High-income countries rely on a multi-pronged approach to seasonal and pandemic influenza prevention and control that includes vaccination, early use of antiviral drugs, and promotion of personal hygiene behaviors such as handwashing. The speed of progression of the 2009 H1N1 influenza pandemic to low- and middle-income countries worldwide clarified the importance of identifying strategies that can be applied quickly and effectively to prevent influenza virus transmission. Handwashing and other non-pharmaceutical interventions to prevent influenza transmission are recommended by the US Centers for Disease Control and Prevention as adjuncts to vaccination (
However, existing data on the efficacy of non-pharmaceutical interventions for prevention of influenza transmission to household contacts comes largely from settings that are typically wealthier and less crowded than Bangladesh[
We conducted this trial in Kishoregonj, a rural area in Bangladesh served by district health centers, numerous pharmacies, and a tertiary care hospital with a catchment population of 407,276 persons [
We recruited index case-patients in three phases in 2009 and 2010, with data collection beginning each year after the confirmation of influenza in patients visiting the tertiary care hospital; in each year, we ended recruitment after influenza was no longer being detected. In 2009 and 2010, we screened patients who sought outpatient care for respiratory symptoms at the Jahurul Islam Medical College Hospital (JIMCH), a non-government tertiary care hospital providing both outpatient and inpatient services to the population of Kishoregonj district. In 2010, in an effort to increase recruitment and meet the targeted sample size, study physicians also screened patients seeking outpatient care for respiratory symptoms at two government-operated district health centers, and six local pharmacies. The study physician completed a screening checklist to evaluate whether the patient’s symptoms were consistent with eligibility criteria described below. Upon obtaining written informed consent from the index case-patient or his/her adult guardian, a study physician (KKJ, MI, MA, or AMQR) obtained an oropharyngeal swab from each index case-patient for influenza testing.
The eligibility criteria used for index case-patients in each phase are specified in detail in
A data collector accompanied the index case-patient (and guardian) to his/her household compound. Typically, in rural Bangladesh, a compound encompasses several households occupied by joint or extended families, with a common courtyard, and often, shared latrine, water source, and cooking facilities; occasionally, families that are not related also live in such a set-up. The study was explained to the head of the compound as well as all compound members present. The head of the compound provided written informed consent for enrollment of the compound members and if they so wished, individual households or individual members within the compound could refuse to take part in the study.
Upon obtaining informed consent, the data collector enumerated all members of the index case-patient household, and each secondary household within the compound. For each compound member, we recorded whether the person typically slept in the same room as the index case-patient. We considered contacts that did not have fever within the 7 days preceding enrollment as “susceptible”.
We used a block randomization, with a block size of four, in order to promote random and even allocation of household compounds to the two treatment arms. The list of random assignments was generated by an investigator with no contact with the human subjects. Once baseline data collection was complete, the data collector notified the field research officer, who consulted the block randomization list to make the assignment of the household compound to intervention (intensive handwashing promotion) or control (standard practices). Given the provision of a handwashing station as part of the intervention, it was not possible to ensure blinding of participants, intervention staff, or data collectors.
We initiated intervention activities within 18 hours after enrollment, and continued daily intervention visits until 10 days following the resolution of the index case-patient’s symptoms. All members of the Intervention compound, including adults and children of both sexes, were invited to take part in each intervention session. The intervention was designed following constructs of Social Cognitive Theory and the Health Belief Model.[
A data collector visited the compound each day until the 10th day following the resolution of the index case-patient’s symptoms. For each contact (member of the household), the chief respondent (typically, the female head of household) was asked whether the contact had been present in the compound during the previous 24 hours and, if so, whether the contact had fever, cough, or sore throat. If a contact met the age-specific case-definition for influenza-like illness, the data collector phoned the medical officer to alert to the need for specimen collection for influenza testing. Study staff requested consent for specimen collection and testing from the susceptible contact meeting the case definition for influenza-like illness. When consent was obtained, then the medical officer obtained an oropharyngeal swab for testing for influenza.
All swabs were inserted into viral transport media vials and placed on ice packs in a cool box. At the end of each working day, all vials collected on that day were placed into the liquid nitrogen chamber, which was transported weekly to the Virology Laboratory at icddr,b, in Dhaka, where they were tested by polymerase chain reaction (PCR) for influenza A and B, with further subtyping of influenza A isolates.[
Index case-patients, or their guardians, and heads of household provided written informed consent for participation in this study. We obtained individual-level informed consent for all specimen collection.
The protocol for this investigation was reviewed and approved by the Research and Ethical Review Committees of the icddr,b. The trial was registered at
We performed sample size estimations to model the impact of intensive handwashing promotion on acquisition of influenza. We assumed 10 contacts per household (excluding the index case-patient). In previous studies, the secondary attack ratio of respiratory illness or influenza ranged from 8% to 17% among household contacts, with the 8% secondary attack ratio for influenza detected in a pilot study in Hong Kong of non-pharmaceutical interventions.[
We describe the effects of the intervention on two outcome measures of interest among susceptible contacts: influenza-like illness and laboratory-confirmed influenza infection.
First, we performed an intent-to-treat analysis to investigate the effects of randomization to the intervention arm on secondary transmission of influenza-like illness. We calculated the secondary attack risk (SAR) for each arm by dividing the number of susceptible contacts identified with influenza-like illness by the total number of susceptible contacts under surveillance. We calculated the SAR ratio of the intervention arm compared to control (SARintervention / SARcontrol), using log binomial regression and accounting for clustering at the household and compound levels. In multivariable analysis, we estimated the adjusted SAR ratio by including variables that differed between intervention and control arms at baseline; specifically, we tested the effects of categorical variables for which there was a 10 percentage point difference between the two groups, or continuous variables for which there was a relatively 10% difference between the two groups. Since influenza infection was of particular interest, we also tested its effect on the SAR ratio for influenza-like illness.
Among contacts of index case-patients with confirmed influenza infection, we modeled the SAR ratio of laboratory-confirmed influenza among susceptible members in the intervention arm compared to control. Next, we performed similar analyses among only those contacts residing in the same household as the index case-patient, since residents of the index case-patient household may have been more susceptible due to proximity. Given the evolution of our eligibility criteria for index case-patients and household compounds (
To examine patterns of soap use during the intervention period, we subtracted each day’s soap weight from the weight recorded on the previous day to reflect the soap consumed during the intervening period. We identified the maximum number of grams of soap consumed for each compound and identified the day on which the maximum soap consumption was recorded. We divided the number of grams of soap consumed by the number of persons living in the compound to develop a per capita estimate of daily soap consumption.
To describe the relationship between individual-level risk factors and influenza-like illness (or confirmed influenza), we analyzed data from susceptible contacts in the control arm only. In addition to demographic characteristics and smoking status of the index case-patient and susceptible contact, we also evaluated the following potential risk factors: index case-patient cough during illness, duration from fever onset to enrollment, and number of minutes that each susceptible contact typically spends in the cooking space. We described the association between frequent exposure to the index case-patient and influenza-like illness (or confirmed influenza) by the following: relationship to index case-patient, residence in the index case-patient household, sleeping in the same room as the index case-patient, and reported multiple interactions daily with the index case-patient. Information on whether the contact shared the index case-patient’s sleeping space was collected only among residents of the index case-patient household. Information on frequency of interactions with the index case-patient was collected only among 2010 participants. We performed bivariate analyses using log binomial regressions, accounting for possible clustering at the household and compound levels. We tested all variables associated with the outcome at p<.20 in bivariate analysis in multivariable models. For multivariable analyses, we again used log binomial regressions, and entered variables manually, each time retaining the exposure variables that were independently and significantly associated with the outcome, and dropping the variables not associated with the outcome (defined as p<.05).
We used SAS v.9 (Cary, NC) for all analyses.
Study physicians screened 5178 index case-patients for eligibility (
Compared to index case-patients in control compounds, intervention index case-patients were younger, had somewhat longer time from fever onset to study enrollment, and were less frequently identified with PCR-confirmed influenza infection (12% intervention and 20% control) (
| Characteristic | Intervention | Control |
|---|---|---|
| N = 193 | N = 184 | |
| Mean age in months (SD) | 121.2 (181.7) | 92.5 (141.0) |
| # (%) of index case-patients less than 5 years old | 119 (62%) | 125 (68%) |
| # (%) of index case-patients less than 2 years old | 64 (33%) | 71 (39%) |
| Male sex | 115 (60%) | 112 (61%) |
| Cough at the time of presentation | 119 (75%) | 114 (75%) |
| Sore throat at the time of presentation | 31 (20%) | 20 (13%) |
| Mean interval from fever onset to study enrollment in days (SD) | 2.6 (2.9) | 2.1 (1.7) |
| Mean number of days of fever after enrollment (SD) | 2.4 (2.5) | 2.6 (3.2) |
| PCR-confirmed influenza | 24 (12%) | 36 (20%) |
| N = 193 | N = 184 | |
| Mean number of households in compound (SD) | 2.0 (1.1) | 2.0 (1.0) |
| Mean number of persons living in the compound (SD) | 10.4 (5.2) | 9.7 (5.2) |
| Mean number of persons per sleeping room in index case-patient households (SD) | 3.3 (1.9) | 3.3 (1.4) |
| Electricity | 123 (64%) | 113 (61%) |
| Color television | 48 (25%) | 36 (20%) |
| Mobile phone | 135 (70%) | 129 (70%) |
| Watch | 116 (60%) | 85 (46%) |
| N = 1661 | N = 1498 | |
| Mean age in years (SD) | 24.9 (19.2) | 25.7 (19.6) |
| # (%) < 2 years old | 51 (3%) | 49 (3%) |
| # (%) < 5 years old | 175 (11%) | 160 (11%) |
| Male sex | 781 (47%) | 694 (46%) |
| Current smoker | 208 (13%) | 208 (14%) |
| Mean number of minutes spent in cooking area per day (SD) | 52 (73) | 53.0 (70.0) |
| Multiple interactions per day with index case-patient | 750 (80%) | 681 (77%) |
| Sleeps in the same room as index case-patient | 568 (66%) | 513 (71%) |
*Data not collected for 67 children, all of whom were under 5 years old and enrolled in 2009.
**Only queried in 2010; denominators were 934 for intervention arm and 890 for control arm.
***Only reported for members of index case-patient household; denominators were 863 in the intervention arm and 727 in the control group.
In the intent-to-treat analysis, 158 (9.5%) susceptible household members were identified with influenza-like illness in the intervention arm, compared to 115 (7.7%) in the control arm (
| Index case-patient symptom onset | Within 7 days preceding enrollment (i.e. all participants) | Within 48 hours preceding enrollment | ||||||
|---|---|---|---|---|---|---|---|---|
| Model | Intent-to-treat | Index case-patient household members only | Overall | Index case-patient household members only | ||||
| Intervention | Control | Intervention | Control | Intervention | Control | Intervention | Control | |
| 193 | 184 | 189 | 183 | 136 | 139 | 136 | 139 | |
| 1661 | 1498 | 863 | 727 | 1232 | 1168 | 617 | 567 | |
| 158/1661 (9.5%) | 115/1498 (7.7%) | 83/863 (9.6%) | 47 / 727 (6.5%) | 122 / 1232 (9.9%) | 105 / 1168 (9.0%) | 63 / 617 (10.2%) | 41 / 567 (7.2%) | |
| 1.24 (0.93–1.65) | 1.49 (1.01–2.19) | 1.10 (0.81–1.50) | 1.40 (0.91–2.16) | |||||
| .14 | .04 | .54 | .12 | |||||
| Intervention | Control | Intervention | Control | Intervention | Control | Intervention | Control | |
| 24 | 36 | 23 | 35 | 14 | 21 | 14 | 21 | |
| 177 | 250 | 96 | 117 | 102 | 133 | 64 | 78 | |
| 17 / 177 (9.6%) | 10 / 250 (4.0%) | 9/96 (9.4%) | 4 / 117 (3.4%) | 11 / 102 (10.8%) | 10/ 133 (7.5%) | 6 / 64 (9.4%) | 4/ 78 (5.1%) | |
| 2.40 (0.68–8.47) | 2.74 (0.69–10.96) | 1.43 (0.38–5.46) | 1.83 (0.40–8.38) | |||||
| .17 | .15 | .59 | .44 | |||||
*All susceptible contacts in both index case-patient and secondary households included.
**Confidence intervals and P-values generated using log binomial regression model with generalized estimating equations to estimate significance of ratio of secondary attack risks in treatment arms.
No episodes of influenza infection were confirmed among susceptible contacts of index case-patients with PCR-confirmed influenza in Phase 1. The SAR ratio for influenza transmission in Phase 2 was 8.33 (95% CI 1.05–50.0) and 1.49 in Phase 3 (0.38–6.25).
We tested the effect on the SAR ratio in separate multivariable models of several variables, which differed at baseline between intervention and control arms by 10 percentage points for categorical variables or by a relative difference of 10% for continuous variables (
| Characteristic | Intervention | Control | Adjusted Relative Risk (95% CI) |
|---|---|---|---|
| - | - | 1.24 (0.93–1.65) | |
| Mean index case-patient age | 121.2 (181.7) | 92.5 (141.0) | 1.25 (0.93–1.67) |
| Mean interval from fever onset to study enrollment in days (SD) | 2.6 (2.9) | 2.1 (1.7) | 1.24 (0.94–1.65) |
| Watch ownership | 116 (60%) | 85 (46%) | 1.29 (0.96–1.74) |
| PCR-confirmed influenza | 24 (12%) | 36 (20%) | 1.24 (0.93–1.65) |
We examined the presence or absence of soap and water at the handwashing station during each of the first 10 days of surveillance from 180 intervention household compounds. Soap was present at the handwashing station for at least 7 days in all 180 compounds and on all 10 days in 133 (74%). Soap and water together were present at the handwashing station for 7 or more of the first 10 days in 99% of household compounds, with water and soap observed together on all 10 days in 99 (55%) household compounds. We restricted soap use analysis to measurements of soap weight during the first 12 days of enrollment, since thereafter, data collection had stopped in 25% or more of intervention compounds based on the resolution of index case-patient symptoms. When examining the compound’s mean daily per capita soap use over the first 12 days, we found a median per capita soap consumption of 2.3 grams (interquartile range: 1.7 to 3.2 grams). Estimates of median daily per capita soap use for each day of measurement are shown in
In multivariable analysis of data from household members from the control arm, index case-patient illness onset occurring within the 24 hours prior to enrollment was significantly associated with influenza-like illness detection among susceptible contacts (
| Characteristic | Attack rate among exposed to characteristic | Attack rate among unexposed to characteristic | Attack rate ratio (95% CI, p-value) in bivariate analysis | Adjusted attack rate ratio (95% CI, p-value) in multivariable analysis |
|---|---|---|---|---|
| 47 / 598 (7.9%) | 68 / 900 (7.6%) | 1.04 (0.68–1.58) p = .85 | ||
| 88 / 1025 (8.6%) | 27 / 473 (5.7%) | 1.50 (0.80–2.84) p = .21 | ||
| 59 / 857 (6.9%) | 56 / 641 (8.7%) | 1.26 (0.82–1.96) p = .28 | ||
| 1 / 78 (1.3%) | 26 / 395 (6.6%) | 0.19 (0.03–1.50) p = .12 | ||
| 71 / 898 (7.9%) | 30 / 351 (8.6%) | 0.92 (0.56–1.53) p = .76 | ||
| 64 / 598 (10.7%) | 51 / 901 (5.7%) | 1.89 (1.25–2.86) p = .002 | 1.91 (1.18–3.10) p = .01 | |
| 15 / 49 (30.6%) | 100 / 1449 (6.9%) | 4.44 (2.74–7.19) p<.0001 | 5.51 (3.43–8.85) p<.0001 | |
| 39 / 160 (24.4%) | 76 / 1338 (5.7%) | 4.29 (2.83–6.52) p<.0001 | 4.88 (3.07–7.75) p<.0001 | |
| 56 / 694 (8.1%) | 59 / 745 (7.3%) | 0.90 (0.61–1.35) p = .64 | ||
| 18 / 268 (6.7%) | 81 / 935 (8.7%) | 0.78 (0.48–1.24) p = .29 | ||
| 47 / 727 (6.5%) | 68 / 771 (8.8%) | 0.73 (0.51–1.05) p = .09 | ||
| 72 / 681 (10.6%) | 12 / 209 (5.7%) | 1.84 (1.10 = 3.09) p = .02 | 1.94 (1.16–3.26) p = .01 | |
| 57 / 688 (8.3%) | 42 / 513 (8.2%) | 1.01 (0.68–1.51) p = .95 | ||
| 10 / 208 (4.8%) | 105 / 1290 (8.1%) | 0.59 (0.31–1.12) p = .11 | ||
| 72 / 925 (7.8%) | 43 / 573 (7.5%) | 1.04 (0.70–1.54) p = .86 | ||
| 26 / 406 (6.4%) | 89 / 1092 (8.2%) | 0.79 (0.52–1.19) p = .26 |
1 Attack rates for influenza-like illness calculated for susceptible members in the control arm who were exposed and unexposed to each characteristic at baseline. Attack rate ratios and confidence intervals generated using log binomial regression models, with generalized estimating equations to account for clustering among household members.
# multivariable model includes the following variables: contact < 2 years old (or contact < 5 years old); Index case-patient with fever onset 24 hours prior to enrollment; and contact interacts multiple times daily with index case-patient.
Among the 250 susceptible contacts of the index case-patients with laboratory-confirmed influenza in the control arm, 10 were confirmed to have influenza infection, all of whom were contacts of index case-patients whose fever had begun during the 48 hours before enrollment into the study. In bivariate analyses, risk factors for transmission of influenza to susceptible contacts of index case-patients with PCR-confirmed influenza infection were index case-patient fever onset during the 24 hours preceding enrollment (RR 5.58, 95% CI 0.84–37.0, p = .07), susceptible contact age < 2 years (RR 4.52, 95% CI 1.23–16.55, p = .02), and susceptible contact age < 5 years (RR 2.88, 95% CI 1.06–0.57, p = .06).
In this study in a low-income rural area of Bangladesh, intensive handwashing promotion begun after the index case patient sought care was not associated with lower rates of influenza-like illness or laboratory-confirmed influenza virus infection among compound or household members. The findings were similar when restricting the analysis to susceptible contacts exposed early during the course of the index case-patient’s illness (within 48 hours of illness onset). The handwashing intervention conferred no differential protective effect for individuals residing in the same household, sharing the same cooking pot and sleeping space, as the index case-patient, compared to those residing in other households within the compound.
Young children and those reporting frequent contact with the index case-patient were most susceptible to secondary transmission of respiratory pathogens. In addition, with surveillance beginning immediately upon enrollment of the index case-patient, we found that contacts were more likely to develop influenza-like illness and influenza early in the course of the index case-patient’s illness, compared with those who were surveyed after an index case-patient had been ill for more than one day. Our findings confirm prior work suggesting that transmission begins early in the course of the respiratory infection[
Does handwashing actually prevent transmission of influenza and other respiratory pathogens? In contrast to our findings, other studies support the protective effects of handwashing for prevention of influenza and other respiratory infections. Handwashing promotion and soap provision resulted in a significant reduction in pneumonia risk of 50% among children in a cluster-randomized community-based trial in communities in Karachi, Pakistan.[
Several trials have examined the effect of handwashing promotion on household secondary transmission.[
It is also possible that transmission of influenza in crowded Bangladeshi homes occurs principally as a result of aerosolized virus in droplets, rather than by direct contact[
Our findings in the secondary analysis of risk factors for transmission in the control arm may be explained if the period of peak exposure was early during the course of the illness, affirming the findings of Cowling and colleagues that handwashing promotion is particularly effective when applied soon after illness onset, rather than later in the course of illness[
Finally, it is possible that our interactive, compound-level approach to handwashing promotion may have inadvertently increased transmission in the intervention household compounds. Similar findings were noted in three similar trials evaluating the effects of hand hygiene and face mask interventions on ILI transmission in households.[
It is biologically plausible that handwashing with soap interrupts influenza and other respiratory pathogen transmission. However, we have failed to show benefit from attempting to increase handwashing rapidly once a case was already present in the household. To apply handwashing promotion effectively for prevention of influenza prevention, if may be more helpful to be proactive rather than reactive. Efforts aimed at changing the social norm of handwashing, particularly at times of possible respiratory pathogen transmission, may be more effective if they are ongoing in order to prevent transmission of a variety of diseases, including influenza.
As evident by the need to modify enrollment criteria repeatedly, our study faced several limitations. Low enrollment rates and new information from another household transmission study[
We completed data collection 10 days after the end of the index case-patient’s symptomatic period. Findings from early investigations of the 2009 H1N1 pandemic noted that the mean generation interval between onset of index case-patient symptoms and onset of the secondary case-patient’s symptoms was 2.6 days (95% CI 2.5 to 2.8 days), a 10-day interval following the conclusion of the index case-patient’s symptoms should have been sufficient to detect the bulk of secondary transmission. Secondary cases could certainly have contributed to tertiary cases and so on. The study design would not have captured the full extent of the intervention’s effects on tertiary transmission. Follow-up for longer than 10 days following index case-patient symptom resolution was beyond the logistical and funding scope of the project.
We relied on symptom reporting from the female head of the household compound in our surveillance of influenza-like illness; In this cultural context, where joint families live closely together, we judged that the female head of the compound would be most likely to be aware of symptoms among members of the compound. This approach was particularly relevant for individuals who were away from home at the time of the field worker’s visit to the compound. It is possible that individuals who were not at home at the time of surveillance were experiencing symptoms of which the female head of the compound was not aware and, hence, that these individuals were less likely to be counted as secondary cases. Findings from this study may be generalizable to other parts of rural South Asia, but may not be similarly applicable to less densely populated rural areas such as those often found in sub-Saharan Africa.
In conclusion, handwashing may reduce intra- and inter-household transmission of influenza and other respiratory pathogens but our findings indicate that a reactive approach to handwashing promotion, particularly several days after illness onset, may be ineffective in the context of rural Bangladesh.
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We are sincerely grateful for the willingness and patience of the individuals who took part in this study. This work would not have been possible without the dedication of a large field team, which remained patient and diligent through one pandemic, two influenza seasons, and various challenges. Our sincere gratitude goes to the reviewers of this protocol for their thoughtful external reviews and input into the study methods. As a disclaimer, we note that the findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.