28 Jul 2017: Scobie HM, Phares CR, Wannemuehler KA, Nyangoma E, Taylor EM, et al. (2017) Correction: Use of Oral Cholera Vaccine and Knowledge, Attitudes, and Practices Regarding Safe Water, Sanitation and Hygiene in a Long-Standing Refugee Camp, Thailand, 2012-2014. PLOS Neglected Tropical Diseases 11(7): e0005810. https://doi.org/10.1371/journal.pntd.0005810 View correction
Oral cholera vaccines (OCVs) are relatively new public health interventions, and limited data exist on the potential impact of OCV use on traditional cholera prevention and control measures—safe water, sanitation and hygiene (WaSH). To assess OCV acceptability and knowledge, attitudes, and practices (KAPs) regarding cholera and WaSH, we conducted cross-sectional surveys, 1 month before (baseline) and 3 and 12 months after (first and second follow-up) a preemptive OCV campaign in Maela, a long-standing refugee camp on the Thailand-Burma border. We randomly selected households for the surveys, and administered questionnaires to female heads of households. In total, 271 (77%), 187 (81%), and 199 (85%) households were included in the baseline, first and second follow-up surveys, respectively. Anticipated OCV acceptability was 97% at baseline, and 91% and 85% of household members were reported to have received 1 and 2 OCV doses at first follow-up. Compared with baseline, statistically significant differences (95% Wald confidence interval not overlapping zero) were noted at first and second follow-up among the proportions of respondents who correctly identified two or more means of cholera prevention (62% versus 78% and 80%), reported boiling or treating drinking water (19% versus 44% and 69%), and washing hands with soap (66% versus 77% and 85%); a significant difference was also observed in the proportion of households with soap available at handwashing areas (84% versus 90% and 95%), consistent with reported behaviors. No significant difference was noted in the proportion of households testing positive for Escherichia coli in stored household drinking water at second follow-up (39% versus 49% and 34%). Overall, we observed some positive, and no negative changes in cholera- and WaSH-related KAPs after an OCV campaign in Maela refugee camp. OCV campaigns may provide opportunities to reinforce beneficial WaSH-related KAPs for comprehensive cholera prevention and control.
Safe water, sanitation, and hygiene (WaSH) are the primary measures for cholera prevention and control. Since 2010, oral cholera vaccines (OCVs) have been recommended as an additional tool for endemic and epidemic cholera prevention and control. Given the relatively new use of OCVs in public health programs, there is limited information on the impact of OCV use on traditional WaSH activities, i.e., can they serve as complementary tools, or will OCV use have a negative impact on WaSH-related behaviors? This study reports the findings of knowledge, attitudes and practices (KAP) surveys conducted before and after a preventive OCV campaign (2013) in a long-standing refugee camp in Thailand, where frequent cholera outbreaks had occurred in recent years. The surveys demonstrated high acceptability of the OCV campaign and several modest improvements in cholera and WaSH KAPs among the camp population. OCV campaigns may be used as opportunities to reinforce cholera and WaSH-related messaging towards strengthening comprehensive cholera prevention and control.
Citation: Scobie HM, Phares CR, Wannemuehler KA, Nyangoma E, Taylor EM, Fulton A, et al. (2016) Use of Oral Cholera Vaccine and Knowledge, Attitudes, and Practices Regarding Safe Water, Sanitation and Hygiene in a Long-Standing Refugee Camp, Thailand, 2012-2014. PLoS Negl Trop Dis 10(12): e0005210. https://doi.org/10.1371/journal.pntd.0005210
Editor: Joseph M. Vinetz, University of California San Diego School of Medicine, UNITED STATES
Received: August 2, 2016; Accepted: November 25, 2016; Published: December 19, 2016
This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
Data Availability: Data cannot be made publicly available due to ethical restrictions and sensitivities. Deidentified survey data will be made available on request to Première Urgence Internationale (formerly Première Urgence-Aide Médicale Internationale) at email@example.com.
Funding: This work was funded by the Bill and Melinda Gates Foundation (OPP1058728; CRP and KD; www.gatesfoundation.org/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Cholera causes an estimated 2.9 million illnesses and 94,000 deaths annually, mostly in Asia and sub-Saharan Africa . Cholera is caused by ingestion of food or water contaminated with feces containing toxigenic strains of Vibrio cholerae serogroups O1 and O139, and the illness is characterized by profuse watery diarrhea, vomiting, and dehydration. Case-fatality rates can exceed 70%, but can be as low as <1% if rehydration treatment is instituted rapidly and effectively .
Safe water, sanitation, and hygiene (WaSH), and effective cholera treatment are the mainstay of cholera prevention and control. In addition, two safe and effective oral cholera vaccines (OCV) are available globally; both are 2-dose, killed whole-cell vaccines. Shanchol (Shantha Biotechnics, India; now Sanofi) is a bivalent OCV (O1 and O139) that was first licensed in 2009 and prequalified by WHO in 2011 and is cheaper and easier to administer (i.e., not requiring water for buffer) than the previously licensed monovalent (O1) OCV. Moderate-to-high vaccine efficacy and field effectiveness has been demonstrated in multiple settings, including 67% efficacy over 5 years in an endemic area and 86% effectiveness during an acute outbreak [3, 4]. Since 2010, OCVs have been recommended by the World Health Organization (WHO) as an additional tool for control of endemic and epidemic cholera . OCV campaigns have been conducted in multiple settings [6–14], including refugee camps in Uganda, South Sudan, and Tanzania [15–18].
In Maela, a long-standing refugee camp in Thailand, four cholera outbreaks occurred during 2005–2010, with an incidence of 0.7–10.7 cases per 1,000 refugees per year . Multiple partners have conducted outbreak response activities which have included enhanced surveillance with active case finding, case management, and WASH interventions, including hygiene promotion, and distribution of soap, chlorine and covered water containers (C. Deglise, personal communication). After the 2010 outbreak, a decision was made to use OCV in Maela to further reduce the risk of cholera outbreaks in the camp . During January–March 2013, a 2-dose OCV campaign with Shanchol was conducted, targeting all eligible 43,485 Maela residents (≥1 year of age and not pregnant) .
During 2010–2012, OCVs were a relatively new intervention, with limited data on the potential impact of vaccine use on WaSH measures, leading to concerns raised on the potential for OCV to detract from proven methods of cholera prevention and control . In 2012, a WHO Technical Working Group on Creation of an OCV Stockpile recommended evaluation of OCV acceptability and impact on WaSH activities and created specific guidance on conducting knowledge, attitudes and practice (KAP) surveys during OCV campaigns [22, 23]. To assess the short- and long-term impact of an OCV intervention campaign and associated messaging on WaSH KAPs among the Maela camp population, we conducted household surveys 1 month before, and 3 and 12 months after the OCV campaign. We evaluated anticipated OCV acceptability before the campaign, campaign awareness and OCV uptake after the campaign, changes over time in reported knowledge, beliefs, and behaviors regarding cholera, WaSH and immunization. We also assessed changes in observed WaSH practices and stored household drinking water quality.
Maela camp was established in 1984, under management of the Royal Thai Government’s Ministry of the Interior, and provides shelter for approximately 46,000 refugees from Burma, predominately of Karen ethnicity . Several essential services are provided by non-governmental organizations. At the time of the campaign and surveys, these organizations included The Border Consortium (TBC) (food and shelter rations), Première Urgence-Aide Médicale Internationale (PU-AMI) (clinical health services at two camp facilities, preventive care, public health, and outbreak response), and Solidarités International (SI) (WaSH services, including chlorinating and testing water sources, building latrines, and providing WaSH education and materials). Population density in the camp is high (11,500 persons per km2), and the existing infrastructure for improved water and sanitation is limited because of the intended temporary status of the camp . One-third of camp residents use water sources, such as natural springs, private water networks, and water sellers, which are known to be less safe . Mobility of the camp population is high .
OCV campaign and associated messaging.
The 2-dose OCV campaign in Maela camp was implemented by PU-AMI with technical assistance by the U.S. Centers for Disease Control and Prevention (CDC) in three rounds during January–March 2013, with support from the Thailand Ministry of Public Health (MOPH) and the Bill and Melinda Gates Foundation . Before the OCV campaign, barcoded vaccination cards with names were distributed to each camp resident. During the campaign, individual cards were scanned and manually date-stamped for each dose received; temporary cards were provided for anyone not bringing a vaccine card. A vaccination registry was created based on this documentation (18).
Immediately after the baseline KAP survey in December 2012, PU-AMI delivered information about the OCV campaign to camp leaders in meetings and to the community through posters, school presentations, loud-speaker announcements, and household visits, as described previously . Documentation of campaign-associated messaging was reviewed and found to include reference to information about OCV (e.g., 2-dose requirement, limited vaccine efficacy and duration of immunity), handwashing, and cholera prevention practices (other than handwashing posters, documentation of specific cholera prevention message content was unavailable). Routine provision of WaSH services by SI (the water and sanitation NGO) continued per their mandate, and no additional WaSH interventions were conducted before, during, or immediately after the OCV campaign. Between 3 and 12 months following the campaign, SI conducted additional WaSH educational activities, including dramatic performances on cholera prevention, hand washing campaigns, and screenings of “The Story of Cholera” film by the Global Health Media Project (F. Cavalazzi, personal communication), but the extent of these activities could not be determined.
We conducted cross-sectional household-level surveys 1 month before the OCV campaign during November–December 2012 (baseline), 3 months after the campaign during May–June 2013 (first follow-up), and 12 months after the campaign in March 2014 (second follow-up). A household was defined as all persons living under one roof and sharing a “ration book” used for obtaining camp rations. For each survey, households were selected by simple random sampling from the most recent camp census, representing approximately 8,000 households . All households living in the camp at least 1 month prior to the campaign were eligible for the survey. Households selected in the baseline or first follow-up survey remained eligible for selection in subsequent survey(s). Boarding houses for students were excluded from all surveys. Sample size was calculated using PASS 2008 (NCSS, Kaysville, UT) based on a Z-test (pooled variance) to detect a difference between two proportions as 350 households for the baseline and 200 households for both follow-up surveys, assuming a 50% baseline outcome and 15% change (α = 0.05, power = 89). Because non-response in the baseline survey was higher than expected (23% vs. 15%), the sample size of the follow-up surveys was revised to 233 households.
The survey was conducted by Maela refugees who were trained and working as PU-AMI community health workers (CHWs). Interviewers visited the household up to three times to attempt to enroll the female head of the household aged ≥18 years, or another adult if she was unavailable; non-responding households were not replaced. Interviews were conducted in Karen or Burmese language using a pre-tested, structured questionnaire including socio-demographic information, and KAPs regarding cholera, WaSH, immunization, and OCV acceptability; also included were observations about household characteristics, including water containers, handwashing stations, and latrines. OCV campaign vaccination status of all household members was first documented by recall of the household respondent and second, by review of available campaign vaccination cards.
This evaluation was determined to be a public health program evaluation activity according to the U.S. CDC’s human subjects’ procedures and approved by the Ethics Committee for Research in Human Subjects at the Thailand MOPH Department of Disease Control. Written informed consent was collected from all participants by signature or thumb print. Only adults aged ≥18 years were intended to be interviewed, but in some cases, interviewers mistakenly enrolled female heads of household aged <18 years. In Burma, the country of origin for survey interviewers and participants, the age of legal adulthood is 16 years, rather than 18 years, and most of the under-age respondents were ≥16 years old. While data on marital status was not collected during the survey, it is likely that these women, who self-identified themselves as female heads of households, were married women. In several countries including the United States, marriage is a special circumstance for minors to be considered as 'emancipated minors' (legally considered adults). Hence, no attempt was made to obtain consent from the parents of these women.
As an objective measure of drinking water quality, stored household drinking water was collected and tested for residual chlorine and fecal contamination on the day of the survey visit. Interviewers tested a 5 ml water sample for residual chlorine using N, N diethyl-p-phenylenediamine sulfate (LaMotte, Chestertown, MD) and collected a 100 ml water sample in a Whirl-Pak bag with sodium thiosulfate (Nasco, Fort Atkinson, WI), using sterile technique. The second sample was transported on ice (2‒8°C) for off-site microbial testing using Colisure media (IDEXX Laboratories, Westbrook, ME). After incubating for 24–48 hours at 35°C, samples were recorded as positive or negative for Escherichia coli, per the manufacturer’s protocol.
Data were analyzed using SAS version 9.3 (SAS Institute, Cary, NC). We performed a descriptive analysis of the baseline survey, including socio-demographic characteristics and cholera, WaSH, and immunization KAPs. The first and second follow-up surveys were each compared with baseline. For binary outcomes, we calculated absolute differences in proportions with 95% Wald asymptotic confidence intervals (CIs); differences were judged to be significant if their CIs did not overlap zero. For continuous outcomes, we used Wilcoxon two-sample tests. OCV coverage estimates and 95% Wilson CI were calculated using Taylor series linearization method to account for intra-household correlation. Definitions for constructed variables such as “knowing two or more means of cholera transmission” are given as footnotes in the tables.
Characteristics of the survey samples
A total of 271 (77%), 187 (81%) and 199 (85%) households were enrolled in the baseline, first follow-up and second follow-up surveys, respectively. Reasons for survey non-response are listed in Table 1. At baseline, median duration of camp residency was 8 years (range: 1–31), and median household size was 5 persons (range: 1–15). Among survey respondents, 206 (77%) were female with a median age of 39 years (range: 15–77 years); 213 (79%) were of Karen ethnicity, and 107 (40%) had never attended school. Overall, 44% of households had electricity, and most used squat or pour-flush toilets (74% and 16%, respectively) (Table 2).
No differences were observed between the baseline and first or second follow-up surveys in household demographic characteristics or ownership of most durable consumer goods (Table 2). The proportion of households owning a mobile phone increased 8% (95% CI: 1%–14%) between the baseline and first follow-up survey; because mobile phone ownership was not deemed to be a primary indicator of socio-economic status for a household, an adjusted analysis was not performed.
Cholera and WaSH knowledge
At baseline, 218 (81%) of 270 respondents had heard about cholera; of these, 114 (52%) mentioned watery diarrhea as a symptom of cholera. Overall, 133 (61%) of 218 respondents knew two or more vehicles of cholera transmission, and 136 (62%) knew two or more means of cholera prevention. Most respondents (97%) reported they would go to the camp clinic for cholera treatment; no respondents mentioned using oral rehydration solution (ORS). A total of 182 (83%) of 218 respondents reported having heard about cholera prevention and treatment from other people or the media; of those, most (77%) received the information from health workers visiting the home, and most (91%) received materials for protecting their household against cholera (Table 3).
Compared with baseline, the proportion of respondents in the first follow-up survey who knew two or more means of cholera prevention increased 15% (95% CI: 6%–24%), and those who knew about boiling or treating drinking water for cholera prevention increased 13% (95% CI: 3%–23%). The proportion who reported they would use ORS for cholera treatment increased 7% (95% CI: 3%–11%) (Table 3 and Fig 1). Though the proportion of respondents who reported hearing about cholera prevention and treatment from other people or the media was unchanged, reported receipt of materials to prevent cholera decreased, including receipt of chlorine solution (22% [95% CI: 13%–33%]), water containers (16% [95% CI: 8%–23%]), and printed education materials (8% [95% CI: 2%–13%]); reported receipt of soap was unchanged (Table 3).
Absolute differences in proportions for KAP responses in the first and second follow-up surveys compared to baseline were calculated; error bars depict 95% Wald asymptotic confidence interval (CI). Statistically significant differences (CI not overlapping zero) are shown in grey; non-significant differences are shown in white. Outcomes marked with * have directionality of difference switched from Tables 3 and 4, so that improvements are depicted in positive direction, and negative changes are depicted in negative direction.
In the second follow-up survey, changes in cholera and WaSH knowledge that were sustained from the first follow-up survey included a 17% (95% CI: 8%–26%) increase in the proportion of respondents who knew two or more means of cholera prevention; a 6% (95% CI: 2%–9%) increase in those reporting they would use ORS for cholera treatment; and a 17% (95% CI: 8%–26%) and 8% (95% CI: 0%–16%) decrease in reported receipt of chlorine solution and water containers compared to baseline, respectively. Changes observed in the second follow-up survey, but not in the first follow-up survey, included that 10% (95% CI: 4%–16%) more respondents reported having heard about cholera; 21% (95% CI: 12%–29%) more mentioned two or more vehicles of cholera transmission; 3% (95% CI: 1%–6%) more reported they would go to the clinic for cholera treatment; and 8% (95% CI: 2%–15%) more reported having heard about cholera prevention and treatment from other people or the media, with 20% (95% CI: 11%–28%) more reporting receipt of printed materials, compared with baseline (Table 3 and Fig 1).
At baseline, 180 (67%) of 270 respondents reported the camp public tap as their primary household drinking water source. Overall, 51 (19%) households reported boiling or treating drinking water to make it safer, and 32 (12%) reported doing so in the last 24 hours. For households that reported not boiling or treating their water, 89% reported that they believed that their “water source is safe and does not need treatment.” A total of 133 (49%) respondents reported washing hands on at least three types of occasions, and 178 (66%) reported using soap to wash hands; soap was observed at the place for handwashing in 227 (84%) households. Safe water containers, defined as covered water containers with spigots, were observed in 195 (73%) of 268 households. Among the 271 households surveyed, residual chlorine was detected in 22 (8%) households’ stored drinking water and E. coli contamination was detected in 106 (39%) (Table 3).
Compared with baseline, 10% (95% CI: 2%–19%) more respondents in the first follow-up survey reported using the camp public tap as their primary drinking water source. The proportion of households that reported boiling or treating drinking water increased 25% (95% CI: 17%–34%), and those that reported doing so in the last 24 hours increased 17% (95% CI: 9%–25%); however, a difference in translation for these questions between the baseline and follow-up surveys limits comparability. Reported use of soap to wash hands increased 11% (95% CI: 2%–19%), and observed soap at handwashing stations increased 6% (95% CI: 0%–12%). At first follow-up compared with baseline, safe water containers were observed in 10% (95% CI: 1%–18%) fewer households, and 10% (95% CI: 1%–19%) more households had E. coli contamination of stored drinking water (Table 3 and Fig 1). E. coli contamination of stored household drinking water was associated with a lack of safe water containers in the first follow-up survey (p = 0.006).
In the second follow-up survey, changes in WaSH knowledge and practices that were sustained from the first follow-up survey included a 50% (95% CI: 42%–58%) increase in the proportion who reported boiling or treating their drinking water and a 50% (95% CI: 41%–57%) increase in those who reported doing so in the last 24 hours (between the first and second follow-up surveys, where translation of these questions was comparable, increases of 24% [95% CI: 15–34%] and 32% [95% CI: 23–42%] were observed, respectively). Other sustained changes in the second follow-up survey, compared with baseline, were a 19% (95% CI: 12%–27%) increase in reported use of soap to wash hands and an 11% (95% CI: 6%–16%) increase in soap observed at handwashing stations. Changes observed in the second follow-up survey, but not in the first follow-up survey, included 18% (95% CI: 9%–27%) more respondents who reported washing hands on at least three types of occasions and 7% (95% CI: 3%–10%) fewer households with residual chlorine detected in stored drinking water samples, compared with baseline (Table 3 and Fig 1).
Vaccine knowledge, attitudes, and practices
At baseline, 135 (50%) of 271 respondents could name two or more diseases prevented by vaccines, and 107 (39%) respondents claimed to have heard of “cholera vaccine.” Overall, 11 (4%) respondents reported having any concerns about adults in the household receiving vaccines, and 17 (7%) reported concerns about children in the household receiving vaccines. In total, 231 (86%) of 271 respondents reported a household member receiving any vaccine; 220 (97%) and 217 (95%) of 228 respondents reported a child in the household receiving polio drops and a measles injection, respectively (Table 4).
Compared with baseline, the proportion of respondents in the first follow-up survey mentioning cholera as a disease they knew to be prevented by vaccine increased 19% (95% CI: 11%–26%), and those reporting they had heard of “cholera vaccine” increased 55% (95% CI: 48%–61%). In the second follow-up survey, changes in vaccine KAPs that were sustained from the first follow-up survey relative to baseline included a 27% (95% CI: 19%–35%) increase in the proportion of respondents who named cholera as a disease prevented by vaccine, and a 53% (95% CI: 47%–60%) increase in those who had heard of “cholera vaccine.” Changes observed in the second follow-up survey, but not in the first follow-up survey, included 19% (95% CI: 10%–27%) more respondents mentioning two or more diseases prevented by vaccines and 6% (95% CI: 2%–10%) fewer respondents reporting concerns about children in the household receiving vaccines, compared to baseline.
OCV acceptability and uptake.
At baseline, 262 (97%) of 271 respondents reported willingness to receive OCV, and 221 (97%) of 228 of respondents with children reported willingness to let their child receive OCV. At first follow-up, 184 (99%) of 187 respondents reporting awareness of the OCV campaign. The most commonly reported source of information about the campaign was health workers visiting the home (45%). When respondents were questioned about the duration and level of protection of OCV, 86 (49%) expected up to 2 years, and 23 (13%) expected 3–5 years of protection from cholera; 101 (54%) expected the vaccine would be “somewhat protective, with other protective measures needed” (Table 5).
Overall, 186 (99%) of respondents reported at least one household member receiving OCV during the campaign; 70 (38%) reported non-vaccination of at least one household member; and 35 (19%) reported at least one household member receiving only 1 dose. Absence from the camp was the most commonly reported reason both for non-vaccination (14%) and receipt of only 1 OCV dose (6%), besides non-eligibility. Few (1%) respondents reported a household member spitting out part of the vaccine. Overall, 17 (9%) of 187 respondents reported adverse events following campaign vaccination in a household member (Table 5).
Overall, OCV coverage by respondents’ recall was 91% (95% CI: 88%‒93%) for the first dose and 85% (95% CI: 81%‒89%) for the second dose, among the 1,102 individuals aged ≥1 year in households surveyed at first follow-up. Vaccination cards were available for 443 (40%) individuals. OCV coverage by card, among individuals with available documentation, was 93% (95% CI: 89%‒96%) for the first dose and 84% (95% CI: 78%‒89%) for the second dose (Table 6). Assuming that all 203 individuals in the 46 non-responding households were unvaccinated, OCV coverage in the camp overall could have been as low as 77% (95% CI: 72%‒82%) and 72% (95% CI: 67%‒77%) for the first and second dose, respectively.
To our knowledge, this was the first evaluation of the short and long-term impact of an OCV campaign and associated messaging on KAPs regarding cholera, WaSH, and OCV through inclusion of surveys at three time points (1 month before, and 3 and 12 months after the OCV campaign). It was also the first KAP evaluation of a Shanchol OCV campaign in a long-standing refugee camp. Despite repeated outbreaks and outbreak response efforts in Maela refugee camp during 2005–2010 , baseline cholera knowledge and safe water practices were generally low (45–70%). At first follow-up, our results showed modest improvements (6–15% increase) in knowledge of cholera prevention and treatment, as well as reported use and observation of soap for handwashing in the household, in the absence of a change in the reported receipt of soap for cholera prevention. These improvements were sustained at second follow-up, with additional positive and no negative long-term changes noted.
Several other cross-sectional evaluations conducted at single time points in endemic and epidemic cholera settings have similarly documented varying WaSH KAPs [24–26]. The improvements we observed at first follow-up survey after the OCV campaign were similar to that of a KAP evaluation in Haiti conducted before and 3 months after an OCV campaign in 2012, the only other pre- and post-campaign KAP evaluation . However, the improvements in cholera knowledge and WaSH behaviors noted in Haiti were more widespread and pronounced, which may be explained by a more robust cholera and WaSH educational component included in the Haiti OCV campaign than in the Maela campaign . A KAP study in the Solomon Islands also demonstrated high cholera prevention knowledge and behaviors after WaSH messaging delivered during a targeted OCV campaign .
In Maela, the modest KAP improvements at first follow-up generally correlated with the focus areas for campaign messaging—cholera prevention and handwashing. The majority of respondents received the proper messaging concerning the limited duration and protection of OCV, another focus of campaign messaging. More improvements in WaSH knowledge and practices were observed at second follow-up than first follow-up compared with baseline; likewise, reports of hearing about and receiving printed educational materials for cholera prevention increased. The contribution of the OCV campaign to improvements in WaSH KAPs occurring between the first and second follow-up surveys could not be evaluated relative to the WaSH educational activities documented to have been conducted by SI during this timeframe. It is possible that in Maela and similar settings with ongoing WaSH activities (e.g., home visits, dramas), high-profile OCV campaigns may provide increased visibility to cholera-related issues that may contribute to people remembering more after the campaign, thereby reinforcing repeated WaSH messaging.
The high anticipated acceptability (97%) and OCV campaign coverage (first dose: 91%; second dose: 85%) observed were similar to evaluations from other OCV campaigns [12, 14, 16, 18, 24, 29–33], but higher than previously published coverage estimates from the Maela OCV campaign based on a vaccination registry (first dose: 83%; second dose: 61%) . Although assessing vaccination history from recall may introduce bias , we observed similarly high coverage (first dose: 93%; second dose: 84%) among those retaining vaccination cards distributed before the campaign. Using the most recent census for our survey sampling frame, we had a high proportion of non-responding households (19%), who may have been more likely to miss campaign vaccination due to absence. Campaign coverage estimates from the vaccination registry were more similar to survey estimates calculated under a scenario where all members of non-responding households were considered as unvaccinated (first dose: 77%; second dose: 72%). Results highlight the challenge of working with mobile populations and suggest OCV campaign coverage among the population continuously residing in the camp may be higher than previously estimated.
We observed several temporary changes at the first follow-up survey not sustained at the second follow-up, including decreased observation of safe water containers, increased reported use of the camp tap as the primary drinking water source, and increased E. coli contamination of stored household drinking water. Fluctuations in availability of WaSH materials, such as safe water containers, can occur based on variations in the timing and frequency of their distribution within the camp. While increased fecal contamination of stored drinking water at first follow-up was correlated with decreased use of safe water containers in households, the temporary increase could alternatively reflect the shift to the rainy season during May–June that marks increased opportunities for water contamination and increased use of unsafe water sources in the camp (F. Cavalazzi, personal communication). E. coli contamination was moderately high and similar between baseline and second follow-up surveys (both occurring in the dry season), and the amount of residual chlorine detected in stored drinking water was low in all three surveys; these results suggest no long-term change in practices which has also been seen in other studies [35–38]. While conducting a KAP survey soon after the OCV campaign was important for assessing the temporality of changes, environmental factors and WaSH behaviors may be impacted by seasonal trends, making assessment of OCV campaign-associated changes difficult .
Our study had some limitations. WaSH KAPs are influenced by multiple factors, and a direct attribution of observed changes to the OCV campaign is not possible. Social desirability bias may have led to reporting favorable practices to interviewers who work as CHWs in the camp. Non-response bias, due to frequent absence and relocation of camp residents, may have affected outcomes in either direction. Accurate translation of the questionnaire into Burmese and Karen was made difficult by the existence of multiple dialects and the low education level among residents in the camp. Despite intensive translation efforts, we discovered one issue after the baseline survey where translation of the lead-in question “do you do anything to your drinking water to make it safer?” implied adding something to the water, which may have resulted in underestimation of water boiling at baseline. The words for “cholera” and “diarrhea” are similar in these languages, which may have led to some challenges with interpretation; however, analysis of responses to equivalent questions for diarrhea and cholera in the baseline survey suggested that respondents might have found the questions to be redundant rather than challenging to interpret.
This study demonstrates modest improvements in some reported WaSH-related KAPs and observed handwashing practices after an OCV campaign in a long-standing refugee camp in Thailand, both in the short- and long-term (3 and 12 months post-campaign). WaSH remains the mainstay of cholera prevention and control, but providing OCVs in conjunction with WaSH interventions may be particularly useful in settings with limited safe water and sanitation infrastructure, such as refugee camps. OCV use has expanded post-licensure, due in part to WHO initiating an OCV stockpile for epidemic response in 2012, and Gavi, the Vaccine Alliance providing a financial contribution in 2013 to enable use in low-income countries . Since OCV campaigns have the potential to be high-profile activities with high acceptability and uptake, we recommend planned integration of strong WaSH messaging towards achieving comprehensive cholera prevention and control in high-risk communities globally. Further pre- and post-evaluations of the impact of OCV campaigns on WaSH KAPs are needed from other settings . We recommend including household observations and other objective measures to distinguish changes in reported KAPs from actual behavior changes.
We are grateful to the many people who made these surveys possible: PU-AMI community health workers and translators for their skill and perseverance; PU-AMI staff, Thierry Gontier, Myriam Burger, Carole Deglise, Simon Trichot, Anaelle Libaud, Niamh de Loughry, Phar Too Chana Phoa Phooree, Matthew Schojan, Angelina Robinson, Vanvisa Warichit, Christophe Siutat, and Claude Bubendorff for their help in implementing and managing the project; Thailand Ministry of Public Health—U.S. Centers for Disease Control and Prevention Collaboration staff, Luis Ortega, Nuanchan Laisuphanwong, and Sutisa Rommaneeyapet for their logistical support, and Nartlada Chantharojwong and the data management team for making the survey database and entering the data; the Department of Enteric Diseases at the U.S. Army Material Command-Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS) for use of their bacterial incubator; TBC for sharing and allowing use of a 2012 household list as a sampling frame; Thomas Viger and Fabrizio Cavalazzi from SI for helpful discussion in interpreting our results; Ponchanok Rattanadilok Na Bhuket, Suratsawadee Klinchan, and Ponpet Saksirichaisilp from the Department of Disease Control at the Thailand Ministry of Public Health for their consultation; CDC staff Rob Quick, Jen Murphy, and Molly Patrick for advice on water testing, and Sue Chu, Kim Fox, and Abby Shefer for help with editing the manuscript.
Disclaimer: Use of trade names is for identification only and does not imply endorsement by the Public Health Service or by the U.S. Department of Health and Human Services. The findings and conclusions of this report are those of the authors and do not necessarily represent the official position of the U.S. Centers for Disease Control and Prevention.
- Conceptualization: HMS CRP KAW KD.
- Data curation: HMS EN.
- Formal analysis: HMS KAW EN.
- Funding acquisition: CP PT KD.
- Investigation: HMS EN EMT AF NW NRA.
- Methodology: HMS CRP KAW KD.
- Project administration: HMS CP EN NW NRA PT KD.
- Resources: PT.
- Supervision: HMS EN CP KD.
- Visualization: HMS EN KAW.
- Writing – original draft: HMS CRP KAW KD.
- Writing – review & editing: EN EMT AF NW NRA PT.
- 1. Ali M, Lopez AL, You YA, Kim YE, Sah B, Maskery B, et al. The global burden of cholera. Bulletin of the World Health Organization. 2012;90(3):209–18A. pmid:22461716
- 2. Harris JB, LaRocque RC, Qadri F, Ryan ET, Calderwood SB. Cholera. Lancet. 2012;379(9835):2466–76. pmid:22748592
- 3. Bhattacharya SK, Sur D, Ali M, Kanungo S, You YA, Manna B, et al. 5 year efficacy of a bivalent killed whole-cell oral cholera vaccine in Kolkata, India: a cluster-randomised, double-blind, placebo-controlled trial. The Lancet Infectious diseases. 2013;13(12):1050–6. pmid:24140390
- 4. Luquero FJ, Grout L, Ciglenecki I, Sakoba K, Traore B, Heile M, et al. Use of Vibrio cholerae vaccine in an outbreak in Guinea. The New England journal of medicine. 2014;370(22):2111–20. pmid:24869721
- 5. World Health Organization (WHO). Cholera vaccines: WHO position paper-Recommendations. Vaccine. 2010;28(30):4687–8. pmid:20483196
- 6. Cavailler P, Lucas M, Perroud V, McChesney M, Ampuero S, Guerin PJ, et al. Feasibility of a mass vaccination campaign using a two-dose oral cholera vaccine in an urban cholera-endemic setting in Mozambique. Vaccine. 2006;24(22):4890–5. pmid:16298025
- 7. Ciglenecki I, Sakoba K, Luquero FJ, Heile M, Itama C, Mengel M, et al. Feasibility of mass vaccination campaign with oral cholera vaccines in response to an outbreak in Guinea. PLoS medicine. 2013;10(9):e1001512. pmid:24058301
- 8. Kar SK, Sah B, Patnaik B, Kim YH, Kerketta AS, Shin S, et al. Mass vaccination with a new, less expensive oral cholera vaccine using public health infrastructure in India: the Odisha model. PLoS neglected tropical diseases. 2014;8(2):e2629. pmid:24516675
- 9. Khan IA, Saha A, Chowdhury F, Khan AI, Uddin MJ, Begum YA, et al. Coverage and cost of a large oral cholera vaccination program in a high-risk cholera endemic urban population in Dhaka, Bangladesh. Vaccine. 2013;31(51):6058–64. pmid:24161413
- 10. Khatib AM, Ali M, von Seidlein L, Kim DR, Hashim R, Reyburn R, et al. Effectiveness of an oral cholera vaccine in Zanzibar: findings from a mass vaccination campaign and observational cohort study. The Lancet Infectious diseases. 2012;12(11):837–44. pmid:22954655
- 11. Khiem HB, Huan le D, Phuong NT, Dang DH, Hoang DH, Phuong le T, et al. Mass psychogenic illness following oral cholera immunization in Ca Mau City, Vietnam. Vaccine. 2003;21(31):4527–31. pmid:14575763
- 12. Luquero FJ, Grout L, Ciglenecki I, Sakoba K, Traore B, Heile M, et al. First outbreak response using an oral cholera vaccine in Africa: vaccine coverage, acceptability and surveillance of adverse events, Guinea, 2012. PLoS neglected tropical diseases. 2013;7(10):e2465. pmid:24147164
- 13. Rouzier V, Severe K, Juste MA, Peck M, Perodin C, Severe P, et al. Cholera vaccination in urban Haiti. The American journal of tropical medicine and hygiene. 2013;89(4):671–81. pmid:24106194
- 14. Teng JE, Thomson DR, Lascher JS, Raymond M, Ivers LC. Using Mobile Health (mHealth) and geospatial mapping technology in a mass campaign for reactive oral cholera vaccination in rural Haiti. PLoS neglected tropical diseases. 2014;8(7):e3050. pmid:25078790
- 15. Dorlencourt F, Legros D, Paquet C, Neira M, Ivanoff B, Le Saout E. Effectiveness of mass vaccination with WC/rBS cholera vaccine during an epidemic in Adjumani district, Uganda. Bulletin of the World Health Organization. 1999;77(11):949–50. pmid:10612895
- 16. Legros D, Paquet C, Perea W, Marty I, Mugisha NK, Royer H, et al. Mass vaccination with a two-dose oral cholera vaccine in a refugee camp. Bulletin of the World Health Organization. 1999;77(10):837–42. pmid:10593032
- 17. Médecins Sans Frontières (MSF). Tanzania: MSF Vaccinates 130,000 Refugees Against Cholera [December 14, 2015]. http://www.doctorswithoutborders.org/article/tanzania-msf-vaccinates-130000-refugees-against-cholera.
- 18. Porta MI, Lenglet A, de Weerdt S, Crestani R, Sinke R, Jo Frawley M, et al. Feasibility of a preventive mass vaccination campaign with two doses of oral cholera vaccine during a humanitarian emergency in South Sudan. Transactions of the Royal Society of Tropical Medicine and Hygiene. 2014.
- 19. Phares CR, Date K, Travers P, Déglise C, Wongjindanon N, Ortega L, et al. Mass vaccination with a two-dose oral cholera vaccine in a long-standing refugee camp, Thailand. Vaccine. 2016;34:128–33. pmid:26549363
- 20. Phares CR, Ortega L. Crossing borders: one world, global health. Clinical infectious diseases: an official publication of the Infectious Diseases Society of America. 2014;58(1):iv–v.
- 21. Cyranoski D. Cholera vaccine plan splits experts. Nature. 2011;469(7330):273–4. pmid:21248807
- 22. Oral Cholera Vaccine Stockpile Monitoring and Evaluation Working Group. Knowledge, attitudes, and practices (KAP) surveys during cholera vacccination campaigns: guidance for oral cholera vaccine stockpile campaigns (June 2014) [April 27, 2015]. http://www.who.int/cholera/vaccines/kap_protocol.pdf.
- 23. World Health Organization. WHO Technical Working Group on creation of an oral cholera vaccine stockpile: meeting report, Geneva, 26–27 April 2012 [April 27, 2015]. http://apps.who.int/iris/bitstream/10665/75240/1/WHO_HSE_PED_2012_2_eng.pdf?ua=1.
- 24. Wahed T, Kaukab SS, Saha NC, Khan IA, Khanam F, Chowdhury F, et al. Knowledge of, attitudes toward, and preventive practices relating to cholera and oral cholera vaccine among urban high-risk groups: findings of a cross-sectional study in Dhaka, Bangladesh. BMC public health. 2013;13:242. pmid:23509860
- 25. Date K, Person B, Nygren B, Were V, Kola S, Ayers T, et al. Evaluation of a rapid cholera response activity—Nyanza Province, Kenya, 2008. J Infect Dis. 2013;208 Suppl 1:S62–8.
- 26. Merten S, Schaetti C, Manianga C, Lapika B, Hutubessy R, Chaignat CL, et al. Sociocultural determinants of anticipated vaccine acceptance for acute watery diarrhea in early childhood in Katanga Province, Democratic Republic of Congo. The American journal of tropical medicine and hygiene. 2013;89(3):419–25. pmid:23878187
- 27. Aibana O, Franke MF, Teng JE, Hilaire J, Raymond M, Ivers LC. Cholera vaccination campaign contributes to improved knowledge regarding cholera and improved practice relevant to waterborne disease in rural Haiti. PLoS neglected tropical diseases. 2013;7(11):e2576. pmid:24278498
- 28. Burnett E, Dalipanda T, Ogaoga D, Gaiofa J, Jilini G, Halpin A, et al. Knowledge, Attitudes, and Practices regarding Diarrhea and Cholera following an Oral Cholera Vaccination Campaign in the Solomon Islands. PLoS neglected tropical diseases. 2016;10(8):e0004937. pmid:27548678
- 29. Merten S, Schaetti C, Manianga C, Lapika B, Chaignat CL, Hutubessy R, et al. Local perceptions of cholera and anticipated vaccine acceptance in Katanga province, Democratic Republic of Congo. BMC public health. 2013;13:60. pmid:23339647
- 30. Schaetti C, Chaignat CL, Hutubessy R, Khatib AM, Ali SM, Schindler C, et al. Social and cultural determinants of anticipated acceptance of an oral cholera vaccine prior to a mass vaccination campaign in Zanzibar. Human vaccines. 2011;7(12):1299–308. pmid:22108036
- 31. Sundaram N, Schaetti C, Chaignat CL, Hutubessy R, Nyambedha EO, Mbonga LA, et al. Socio-cultural determinants of anticipated acceptance of an oral cholera vaccine in Western Kenya. Epidemiology and infection. 2013;141(3):639–50. pmid:22564277
- 32. Uddin MJ, Wahed T, Saha NC, Kaukab SS, Khan IA, Khan AI, et al. Coverage and acceptability of cholera vaccine among high-risk population of urban Dhaka, Bangladesh. Vaccine. 2014;32(43):5690–5. pmid:25149429
- 33. Abubakar A, Azman AS, Rumunu J, Ciglenecki I, Helderman T, West H, et al. The First Use of the Global Oral Cholera Vaccine Emergency Stockpile: Lessons from South Sudan. PLoS medicine. 2015;12(11):e1001901. pmid:26576044
- 34. Miles M, Ryman TK, Dietz V, Zell E, Luman ET. Validity of vaccination cards and parental recall to estimate vaccination coverage: a systematic review of the literature. Vaccine. 2013;31(12):1560–8. pmid:23196207
- 35. Abdelrahman AA, Eltahir YM. Bacteriological quality of drinking water in Nyala, South Darfur, Sudan. Environ Monit Assess. 2011;175(1–4):37–43. pmid:20480392
- 36. Clasen TF, Bastable A. Faecal contamination of drinking water during collection and household storage: the need to extend protection to the point of use. J Water Health. 2003;1(3):109–15. pmid:15384721
- 37. Gupta SK, Suantio A, Gray A, Widyastuti E, Jain N, Rolos R, et al. Factors associated with E. coli contamination of household drinking water among tsunami and earthquake survivors, Indonesia. The American journal of tropical medicine and hygiene. 2007;76(6):1158–62. pmid:17556629
- 38. Roberts L, Chartier Y, Chartier O, Malenga G, Toole M, Rodka H. Keeping clean water clean in a Malawi refugee camp: a randomized intervention trial. Bulletin of the World Health Organization. 2001;79(4):280–7. pmid:11357205
- 39. Martin S, Lopez AL, Bellos A, Deen J, Ali M, Alberti K, et al. Post-licensure deployment of oral cholera vaccines: a systematic review. Bulletin of the World Health Organization. 2014;92(12):881–93. pmid:25552772