The influence of health concern on travel plans with focus on the Zika virus in 2016.

Tourists consider many factors, including health, when choosing travel destinations. The potential for exposure to novel or foreign diseases alone can deter travelers from selecting high-risk locations for disease transmission. The 2015-2016 Zika Virus (ZIKV) outbreak in the Americas and Caribbean prompted the World Health Organization (WHO) to declare a Public Health Emergency of International Concern. This study investigated factors that may contribute to travel avoidance to areas experiencing ZIKV transmission while also considering different levels of health concern and awareness among groups with varying demographics. An online survey was administered February 10-12, 2016 to a sample of U.S. residents (n = 964). Demographics, information about travel behaviors, and levels of health concern were collected. Ordered logit models were employed to assess the impacts of the ZIKV outbreak on travel planning. Respondents giving higher levels of attention to general health were more likely to avoid travel to areas experiencing ZIKV transmission. It is anticipated that the findings of this study may be of interest to public health officials, healthcare providers, and government officials attempting to mitigate impacts of ZIKV. Disease outbreaks in regions of the world typically frequented by vacation or leisure travelers are particularly problematic due to the increased amount of exposure to disease in an immunologically naïve population that may then contribute to the outbreak through their travel plans. Avoiding travel to destinations experiencing outbreaks of disease due to health concerns may be interpreted positively by the public health community but can have negative economic consequences.

Introduction

Personal health has long been recognized as a consideration, or risk factor, for travelers. Concerns include increased exposure to common cold and flu viruses on public transportation or by staying in close quarters with large numbers of people, and locale-specific disease exposure which may not exist in one's home country or region. Depending on the specific destination, health impacts from disease vectors, like mosquitoes, may be a problem (or concern) for even experienced and educated travelers. And, perhaps least mentioned but widespread in impact, are concerns about maintaining physical fitness and obtaining regular exercise. Efforts to cater to health-conscious travels have driven investment in gyms, fitness equipment, and personal health services by many hotels, resorts, and even modes of transportation – like cruise ships.

According to the United Nations World Tourism Organization (UNWTO, 2015) tourism worldwide contributes 9% of the total GDP (including direct, indirect, and induced impacts). Over half of the total travel reported in 2014 was for the purpose of leisure, recreation, and holidays (UNWTO, 2015). The Americas was the fastest growing region for tourism in 2014 (UNWTO, 2015). “The Americas (+ 8%) saw the highest relative growth across all world regions in 2014, welcoming 13 million more international tourists, increasing the total to 181 million arrivals. International tourism receipts in the region reached US$ 274 billion in one year, an increase of 3% in real terms. The region increased its share of worldwide arrivals to 16%, while its share of receipts was 22%.” (UNWTO, 2015).

ZIKV in 2016

ZIKV was declared a Public Health Emergency of International Concern by the World Health Organization (WHO) in February 2016 following reports of a widespread epidemic in the Americas and Caribbean (Petersen et al., 2016). The mosquito-borne arbovirus was first isolated in Africa in 1947 (Dick et al., 1952), but ZIKV was not recognized as important in terms of human health impact until the ZIKV disease outbreak on Yap Island in the Federated States of Micronesia in 2007 (Duffy et al., 2009). Though most of the population of Yap were infected by ZIKV, only mild symptoms of disease were reported, primarily fever, headache, and rash (Duffy et al., 2009).

In 2013 a ZIKV outbreak occurred in French Polynesia that resulted in 29,000 suspected cases of disease (Ioos et al., 2014) and a subsequent increase in cases of an auto-immune disease, Guillain-Barré syndrome, which can cause temporary paralysis (Willison et al., 2016). ZIKV continued to spread to other Pacific Islands from 2013 to 2014 (Musso, 2015) and was first detected in Brazil in early 2015 (Campos et al., 2015). The majority of patients with ZIKV infections have no clinical signs of disease. When symptoms do manifest they are most commonly reported to be similar to signs of other arboviral infections, such as rash (90%), arthritis or arthralgia (65%), fever (65%), conjunctivitis (55%), myalgia (48%), headache (45%), and retro-orbital pain (39%) (Buathong et al., 2015). However, more severe clinical signs have been associated with the ZIKV epidemic in Brazil, notably a drastic increase in the number of microcephaly cases detected in fetuses and newborns (Broutet et al., 2016) as well as death of a limited number of patients (Arzuza-Ortega et al., 2016, Sarmiento-Ospina et al., 2016). It is speculated ZIKV induces brain injury in the fetus that results in cell death and brain shrinkage which ultimately results in the diagnosis of microcephaly, which may result in impaired cognitive development.

Health concerns and travel in 2016

The intersection between health concerns and travel is especially apparent during disease outbreaks. Disease outbreaks in regions of the world typically frequented by vacation or leisure travelers may be problematic from an economic standpoint if travel to such destinations is avoided, which is precisely what is recommended by public health officials. Most tourists visit destinations within their own region (UNWTO, 2015), making the Caribbean a sought after destination for visitors from the Americas. Arrivals in the Caribbean were up 6% overall where several locations, including Turks and Caicos Islands, Montserrat, Grenada, Haiti, and the Cayman Islands, all posted doubled-digit increases in arrival numbers (UNWTO, 2015). ZIKV remains a worldwide concern as people travel to/from popular destinations that are within impact zones; one recent example was concern over travel to the 2016 Olympic Games.

Health when traveling has been a long discussed topic which has received attention from the travel industry, health professionals, and marketers. In recent years the growth in travel across the Americas (and specifically in the Caribbean) has intersected the ZIKV outbreak currently being experienced. The objectives of this paper are to (1) examine levels of health concern and awareness across demographics, (2) measure ZIKV awareness across various groups of respondents, and (3) investigate factors that may contribute to travel avoidance to various locales experiencing ZIKV transmission. Improved understanding of the potential relationships between demographics and health concerns of travelers, perceptions of ZIKV, and impacts on travel plans are important for the economies of the Caribbean which depend on tourism, as well as health officials within and outside the region as they seek to address the ZIKV outbreak.

Data and methods

An online survey with two focus areas, health concern (assessed as an individual's stated level of concern about seven key health issues) and travel, was administered on February 10th through the 12th, 2016. Respondents were identified and contacted through the use of a large opt-in panel database maintained by Lightspeed, GMI. Respondents were targeted to be representative of the U.S. population in terms of gender, income, education, and geographical region of residence according to the U.S. Census (U.S. Census Bureau, 2014) and were required to be 18 years of age or older to participate. In total 964 respondents participated in the survey.

In addition to basic demographics, respondents were asked about their recent travel behaviors as well as their level of concern for seven areas of health. Specific to travel intentions, respondents were asked about their likelihood to avoid travel to Florida, Texas, Puerto Rico, and Caribbean Islands in the next 12 months. The Caribbean and Puerto Rico were selected for study based on their challenges with the recent ZIKV outbreak, while Florida and Texas were included given their proximity to the outbreak area and potential for eventual concern regarding ZIKV. The seven areas surrounding health concern investigated were physical fitness, heart health, mental health, cancer, flu, antibiotic resistant bacterial infection, and prenatal care. Precisely, respondents were asked, On a scale of one (I do not give any thought to this at all) to five (I think about this constantly), please rank the level of attention or thought you provide to the following aspects of health and well-being. Please select the number on the scale that best represents your level of attention. Three categories of health valuation were developed based on responses received, specifically “Does not think about often” represents respondents who gave a rank of 1 or 2, “Thinks about some of the time,” are those who gave a rank of 3 and “Thinks about often/constantly” represents those who gave a rank of 4 or 5.

Finally, given the intended focus of this analysis on the intersection of health and travel, the current ZIKV outbreak (2016) was a specific health focus of this analysis. Respondents were asked about their ZIKV awareness, knowledge about the virus and its symptoms, and the prevention measures taken by respondents' households.

Basic summary statistics to questions about respondent demographics, household behaviors surrounding travel, mosquito-borne disease transmission prevention measures, travel experiences, and concern about health factors were completed. Cross tabulations are employed in this analysis to analyze relationships between health concerns and travel.

Ordered logit model

Given the focus of this analysis on assessing the potential impacts of the ZIKV outbreak on travel planning, in particular to affected regions, four ordered logit models were estimated to identify factors related to stated intentions to avoid travel to four different locations: Florida, Texas, Puerto Rico, and the Caribbean. The models were based on the question At this point in time, how likely are you to avoid travel to the following locations in the coming 12 months due to concerns about the Zika virus on the provided scale of ONE to FIVE? An ordered logit uses the ranked categories of the Likert scale to create thresholds (Baum, 2006). In this instance the dependent variable y was established as an ordered categorical dependent variable, with the values of 1, 2, 3, 4, and 5 as the ranked (in order of likeliness to avoid, on a scale of one to five) categories. Using k to represent thresholds, a rank would be established in the following way If y∗ < k1 then y = 1 , If k1 < y∗ < k2 then y = 2 and so on until If k4 < y∗  then y = 5 and y⁎ is a latent variable (Baum, 2006). The probability of each rank outcome j can then be estimated Pr(y = j) = Pr (k < βX + u < k)  (Baum, 2006). This states that the probability of a particular outcome j being chosen is dependent on βX falling between threshold k and k for each individual (Baum, 2006). The coefficients from this estimate provide the direction of change and significance but not the magnitude.

A number of dummy variables (two value categorical variables) were incorporated as explanatory variables in the ordered logit models. Male was a dummy where (1) represents being male. Two of the three age groups, Age 18 to 34 and Age 35 to 54 were used in the model, while the third category Age 55 to 88 was the referent group. Region and income were treated similarly with dummy variables created for the Midwest, South, and North regions and the West being the referent. Low income, and High income were included in the logit model as dummy variables (both relative to Medium income which was the referent). Education was accounted for by the creation of a two category (dummy) variable which was (1) for those respondents having obtained a college degree and (0) for those who had not. Respondent's level of health concern (or thought devoted to health factors) was summed across the seven health categories investigated (physical fitness, heart health, mental health, cancer, flu, antibiotic resistant bacterial infection, and prenatal care) to create the only continuous explanatory variable in the model.1

Results and discussion

A total of 964 respondents were identified and contacted through the use of a large opt-in panel database between February 10th and 12th, 2016. Data on respondents' stated health concerns, travel behaviors, and travel intentions were collected. Summary statistics and demographics are presented in Table 1. The sample was comprised of approximately half male and half female respondents. Just under half of respondents had household incomes of less than $50,000 annually and 59% had obtained a college degree (or the equivalent). The majority of the sample have no children in the household. Given the heightened concern surrounding ZIKV for pregnant women, pregnancy intentions were requested from respondents. A total of 4% of respondents were pregnant at the time they responded to the survey while another 5% indicated a household member was currently pregnant.

Table 1

Respondent demographics (% of respondents; n = 964).

Variable description	% of respondents n = 964	% of those who have personally traveled more than five hours from home within the U.S. in the last 12 months n = 597
Gender
Male	47	49
Female	53	51
Age
18 to 34	28	36
35 to 54	38	36
55 to 88	34	28
Region
Midwest	23	22
South	35	35
West	23	24
Northeast	19	19
Income
Less than $50,000	48	35
$50,001–$75,000	19	21
$75,001 or more	33	44
Education
Has not obtained a college degree or the equivalent	41	33
Has obtained a college degree or the equivalent	59	67
Children in household: at least one of
Age 0 to 4 years	11	19
Age 5 to 10 years	19	36
Age 11 to 15 years	17	27
Age 16 to 18 years	08	13
Pregnancy intentions
I am currently pregnant	04
Someone else in my household is pregnant	05
There has been a pregnancy in my household in the last 3 years	05
Someone intends to become pregnant in the next 1 year	05
Someone intends to become pregnant in the next 2–3 years	06
Not applicable to me	80

The data for this analysis was collected via an online survey conducted by Purdue University taking place from February 10th–12th of 2016.

Given the focus of this analysis on the intersection of health (including perceptions of ZIKV) with participation in travel, Table 1 also presents demographics for the subsample of respondents who have personally traveled more than five hours from home within the U.S. in the last 12 months. Looking specifically at the subsample of travelers (n = 597), the youngest age bracket of respondents made up only 28% of the sample overall, but 36% of travelers. While households with income of less than $50,000 annually made up nearly 50% of the sample overall, they comprised only 35% of the travelers subset.

Reported health concerns and travel experience

Fig. 1 details responses by respondents across three categories, namely “does not think about often”, “thinks about some of the time”, and “thinks about often/constantly” as well as providing the mean value for each of the seven areas of health studied. In total, respondents reported that they think about often/constantly physical fitness and heart health, followed by mental health. Mean values across all respondents also highlighted these three areas of health as the most highly ranked in terms of attention paid to these areas by respondents. Given prenatal care is a concern for only a segment of the population, it is not surprising that this was the lowest mean category (68% of respondents did not think about it often) across the sample as a whole.

Fig. 1

Summary of respondents' reported levels of health concerns (n = 964, % of respondents). This summary is based on a five-point Likert scale question in which one was I do not give this any thought, and five was I think about this constantly. The lower options, 1 and 2 were combined into Does not thing about often, option 3 is things about some of the time, and the upper option, 4 and 5, were combined to Thinks about often/constantly. The data for this analysis was collected via an online survey conducted by Purdue University taking place from February 10th–12th of 2016.

In total 61.9% of the total sample of respondents had traveled > 5 h from home in the 12 months preceding the survey. In the year preceding the survey, 14% of respondents had traveled by cruise ship, 42% via domestic air travel (within the U.S.), 22% via international air travel (outside the U.S.), 47% on a “road trip” of > 5 h in a private vehicle, 20% via public bus, and 15% by train. Specifically looking at travel outside the U.S. in the 12 months before the survey, 28% of respondents indicated they had traveled outside the U.S., while 15% indicated another adult household member had, and 6% indicated a child household member had. In total, 68% of those sampled had not traveled nor had another adult or child in their household traveled outside the U.S. in the past 12 months. Given the focus on the Caribbean region, further analysis into modes of travel, including cruise ships, were conducted. Of those traveling by cruise ship in the past 12 months, 65.2% earn $75,001 or more annually, 80.7% have a college degree, and 57.0% have at least one child in the household. Looking specifically at those who have traveled by air internationally in the past year, 61.5% earn $75,001 or more annually, 87.2% have a college degree, and 56.7% have at least one child in the household.

A total of 22% of respondents had visited the Caribbean in the 2 years preceding the survey. Ten percent of households had an adult member of their household travel to the Caribbean in the 24 months leading up to the survey, while only 3% indicated a child household member had. Thus, 76% of those sampled had not traveled nor had another adult or child in their household traveled to the Caribbean in the past 24 months.

Of those who had visited the Caribbean in the past 2 years, 64.2% are male, 42.0% are 18 to 34 years of age, 63.7% earn more than $75,001 annually, 79.7% have a college degree, and 63.2% have at least one child living in the household. Of respondents who reportedly had a child household member visit the Caribbean in the past 24 months, most were under the age of 55 to 88 (56.7% were 18 to 34; 40.0% were 35 to 54; and only 3.3% were 55 to 88 years of age), 83.3% earn more than $75,001 annually, and 90.0% have a college degree.

Cross tabulations of levels of reported concern about each of the seven focused upon health areas and age, region, income, education, travel experience, and whether or not children were present in the household are presented in Table 2. Of those respondents who reported that they think about physical fitness often/constantly, 35.6% were 18 to 34 years of age, 68.6% have a college degree, 71.6% have traveled in the past year, 55.7% have no children living in the household, and 58.1% were female. Mental health concern tended to be less often reported in the older age bracket studied. Of those were who reported often/constant thought to mental health, 70.1% had traveled in the past year, and 56.1% had no children living in the household. Cancer, flu, antibiotic resistant bacterial infections, and prenatal care all continue to display similar trends in that > 65% of those reporting high levels of attention to these concerns have traveled in the past 12 months. Not surprisingly, of those reporting high attention to prenatal care, 76% had children in the household. Perhaps more surprisingly, of those thinking often about prenatal care 83.8% had traveled in the past 12 months. Given the risks for pregnant women with ZIKV, the overlap between prenatal care attention/concern and travel is of particular interest in this analysis.

Table 2

Cross tabulations of respondent demographics and responses to level of concern for personal health (% of respondents; n = 964).

	Age			Region				Income			Education		Traveled > 5 h from home in last 12 months		Children in the household
	18 to 34	35 to 54	55 to 88	Midwest	South	West	Northeast	Less than $50,000	$50,001–$75,000	$75,001 or more	No college degree	Obtained college degree	No	Yes	No	Yes
Physical fitness
Does not think about often	18.4a	39.9b	41.8b	27.8a	36.1ab	17.7b	18.4ab	64.6a	17.1b	18.4c	58.9a	41.4b	59.5a	40.5b	71.5a	28.5b
Thinks about often/constantly	35.6a	37.9b	26.4c	20.9a	34.3ab	24.3ab	20.5b	39.5a	21.3b	39.3b	31.4a	68.6b	28.4a	71.6b	55.7a	44.3b
Heart health
Does not think about often	34.6a	35.9ab	29.4b	24.2a	37.3a	18.3a	20.3a	60.8a	20.3a	19.0b	47.1a	52.9a	51.6a	48.4b	67.3a	32.7a
Thinks about often/constantly	27.8a	36.7a	35.5a	20.2a	35.5ab	23.8b	20.4b	41.6a	18.7a	39.7b	35.9a	64.1b	31.8a	68.2b	58.6a	52.4b
Mental health
Does not think about often	18.3a	37.9b	43.8b	23.7a	34.2a	21.9a	20.1a	54.3a	19.6ab	26.0b	42.9a	57.1a	47.5a	52.5b	75.8a	24.2b
Thinks about often/constantly	36.1a	36.3b	27.6c	20.6a	35.9ab	23.1ab	20.4b	44.6a	19.5ab	35.9b	38.0a	62.0a	29.9a	70.1b	56.1a	43.9b
Cancer
Does not think about often	26.4a	39.0a	34.7a	22.1a	37.4a	22.1a	18.4a	53.7a	19.3ab	27.0b	41.1a	58.9a	46.a	54.0b	67.2a	32.8a
Thinks about often/constantly	32.4a	34.6b	33ab	19.9a	34.9ab	23.9ab	21.4b	41.9a	16.2a	41.9b	37.6a	62.4a	31.2a	68.8b	54.7a	45.3b
Flu
Does not think about often	21.9a	38.2b	39.9b	23.3a	35.9a	23.3a	18.5a	53.7a	18.8ab	27.6b	40.9a	59.1a	44.7a	55.3b	73.6a	26.4b
Thinks about often/constantly	41.3a	36.6b	22.0c	17.3a	37.2bc	21.3ac	24.0b	39.0a	15.7a	45.3b	36.2a	63.8a	25.2a	74.8b	41.7a	58.3b
Antibiotic resistant bacterial infections
Does not think about often	24.5a	36.9ab	3.87b	24.5a	33.2a	24.5a	17.8a	54.9a	17.0b	28.1b	42.8a	57.2a	47.7a	52.3b	73.2a	26.8b
Thinks about constantly	36.9a	36.3b	26.8b	16.9a	38.6b	22.7ab	21.7b	40.7a	16.6a	42.7b	36.9a	63.1a	30.2a	69.8b	48.1a	51.9b
Prenatal care
Does not think about often	15.8a	38.5b	48.8c	25.6a	36.4ab	20.2c	17.9bc	53.9a	17.6b	28.5b	44.5a	55.5b	44.4a	55.6b	76.8a	23.2b
Thinks about often/constantly	59.8a	31.4b	6.1c	11.7a	31.8b	31.3c	25.1c	25.7a	20.7b	53.6c	24.6a	75.4b	16.2a	83.8b	24.0a	76.0b

Statistically, a is different from b and c, and b, from c and a, and c from b and a. The central health evaluation “Thinks about some of the time” has been omitted for brevity. Values for Female and Male were not provided because there was no significant differences except for in two case: Physical fitness “Thinks about some of the time”: Male 41.9% is different from 58.1% for Female and Prenatal Care “Thinks about often/constantly” 56.4% for male is different form 43.6% for female. No other difference existed between the two. The data for this analysis was collected via an online survey conducted by Purdue University taking place from February 10th–12th of 2016.

ZIKV outbreak information and impacts

Eighty-four percent of respondents were aware of the ZIKV outbreak at the time of the survey, but only 30% were aware of the CDC recommendation to postpone travel to places where transmission was taking place. Fig. 2 displays an infographic summarizing respondent's general knowledge about ZIKV and its symptoms, as well as the mosquito bite prevention steps being used. While nearly half of respondents reported using bug repellant spray, only 22% reported actively removing standing water around their homes. This may suggest a lack of awareness of prevention strategies that are necessary for control of vector-borne diseases such as ZIKV.

Fig. 2

Zika Awareness Infographic. The data for this analysis was collected via an online survey conducted by Purdue University taking place from February 10th–12th of 2016.

Table 3 displays ZIKV knowledge and awareness across different demographic groups. Of those who reported awareness of the outbreak, 62.9% had earned a college degree. Of those who reported knowing that ZIKV is spread by the same type of mosquitoes that spread Dengue and Chikungunya, 72.3% had a college degree, 71.3% had traveled, and 50.3% had at least one child in the household. More generally, those who responded as knowing that mosquitoes can spread viruses among humans more often than not (> 60%) had a college degree and had traveled.

Table 3

Cross tabulations of respondent demographics and reported Zika virus awareness in 2016 (% of respondents; n = 964).

	Age			Region				Income			Education		Traveled > 5 h from home in last 12 months		Children in the household
	18 to 34	35 to 54	55 to 88	Midwest	South	West	Northeast	Less than $50,000	$50,001–$75,000	$75,001 or more	No college degree	Obtained college degree	No	Yes	No	Yes
I am aware of the Zika virus outbreak	25.6a	36.2a	38.2b	22.5a	35.6a	23.3a	18.6a	45.0a	19.1b	35.9b	37.1a	62.9b	36.0a	64.0b	65.6a	34.4a
I am aware of the effect on pregnant women	26.4a	36.1a	37.4b	22.9a	35.0a	23.2a	18.9a	43.9a	19.3b	36.8b	36.6a	63.7b	36.0a	64.0b	64.0a	36.0a
Zika details awareness, percent of respondents reporting agreement that:
Approximately 1 in 5 people infected with Zika virus will develop Zika and become ill.	31.6a	33.0b	35.4ab	17.5a	37.5b	27.0b	17.9ab	34.0a	19.6b	46.3c	27.7a	72.3b	24.6a	75.4b	52.3a	47.7b
The incubation period for the Zika virus is not known, but is believed to be a few days to a week.	25.3a	33.3a	41.3b	20.7a	34.0a	26.0a	19.3a	39.0a	18.7ab	42.3b	32.7a	67.3b	32.3a	67.7b	59.0a	41.0b
The Zika virus illness is usually mild and lasts for several days to a week.	25.5a	32.0a	42.5b	21.5a	32.3a	25.2a	20.9a	35.7a	20.6b	43.7b	31.1a	68.9b	28.9a	71.1b	62.2a	37.8a
People sick with the Zika virus do not usually get sick enough to go to the hospital.	18.3a	34.8b	47.0c	25.4a	33.0a	21.5a	20.1a	41.9a	16.1a	41.9b	34.4a	65.6b	34.1a	65.9a	67.0a	33.0a
People rarely die of Zika	23.5a	32.6a	43.9b	22.5a	33.0a	22.5a	22.1a	39.6a	18.9ab	41.4b	32.3a	67.7b	28.4a	71.6b	68.4a	31.6a
The CDC in the US has recommended that pregnant women postpone travel to destinations where Zika virus transmission is taking place.	19.7a	34.9b	45.4c	24.0a	35.1a	23.1a	17.7a	45.8a	18.5a	35.7a	37.0a	63.0b	37.4a	62.6a	71.4a	28.6b
There has been at least one known case of sexual transmission of the Zika virus in the US.	15.8a	35.5b	48.8c	26.8a	33.7b	22.7ab	16.7b	47a	20.2a	32.8a	38.2a	61.8a	39.2a	60.8a	74.9a	25.1b
I am not familiar with any of these details.	32.7a	40.0a	27.3b	24.1a	38.6a	18.2a	19.1a	67.7a	12.7b	19.5b	61.4a	38.6b	50.0a	50.0b	70.0a	30.0b
Before survey I was aware
The Zika virus is spread by the same type of mosquitoes as spread Dengue and Chikungunya	35.3a	39.3b	25.4c	19.5a	35.5ab	24.9b	20.1ab	33.0a	21.8b	45.2b	27.7a	72.3b	28.7a	71.3b	49.7a	50.3b
The mosquito that spreads the Zika virus bites primarily during the daytime	34.3a	39.2a	26.5b	20.2a	35.8a	23.8a	20.2a	38.0a	21.1b	41.0b	31.9a	68.1b	31.3a	68.7b	51.2a	48.8b
Mosquitoes can spread viruses among humans	26.5a	37.7ab	35.8b	23.4ab	36.9b	22.0ab	17.6a	46.1a	19.7b	34.2ab	38.2a	61.8b	36.4a	63.6b	64.7a	35.3a

Statistically, a is different from b and c, and b, from c and a, and c from b and a. Prevention removed. Male and female removed for all rows and were significantly different for the following: I am aware of the Effect on Pregnant Women Male: 45.3a, Female: 54.7b; Approximately 1 in 5 people infected with Zika virus will develop Zika and become ill: Male:53.7a, Female: 46.3b; The Center for Disease Control in the United States has recommended that pregnant women postpone travel to destinations where Zika virus transmission is taking place: Male: 40.6a Female: 59.4b; I am not familiar with any of these details.: Male: 39.4a, Female: 60.6b; Fever: Male: 44.4a, Female: 55.6b; Rash: Male: 41.6a, Female: 58.4b; The Zika virus is spread by the same type of mosquitoes as spread Dengue and Chikungunya Male: 55.8a, Female: 44.2b; The mosquito that spreads the Zika virus bites primarily during the daytime Male: 53.3a, Female: 46.7b. The data for this analysis was collected via an online survey conducted by Purdue University taking place from February 10th–12th of 2016.

Implications of changing travel plans to the states of Florida and Texas, as well as to Puerto Rico and Caribbean Islands were investigated (Table 4). For both Florida and Texas, having at least one child in the household was associated with being more likely to avoid travel (to these locales) than if there were no children present. In addition, travel was more likely to be avoided if the respondent was from the Midwest region of the U.S. and less likely to be avoided if the respondent was from the South, compared to being from the Western U.S. Potentially most interesting, given the focus upon the intersection of health and travel, was the finding that travel was more likely to be avoided to both Florida and Texas as respondents placed increasing value/attention on their health.

Table 4

Likelihood of avoiding travel in the next 12 months due to concerns about Zika.

		The State of Florida			The State of Texas			Puerto Rico			Caribbean Islands
Variable	Description	Coefficient (SE)	Confidence interval		Coefficient (SE)	Confidence interval		Coefficient (SE)	Confidence interval		Coefficient (SE)	Confidence interval
			Lower	Upper		Lower	Upper		Lower	Upper		Lower	Upper
age18to34	1 = age 18 to 34	0.0319(0.1606)	− 0.2828	0.3467	0.0031(0.1605)	− 0.3115	0.3177	− 0.4343***(0.1639)	− 0.7557	− 0.1130	− 0.4238***(0.1649)	− 0.7471	− 0.1004
age35to54	1 = age 35 to 54	0.1698(0.1496)	− 0.1234	0.4632	0.0053(0.1507)	− 0.2900	0.3008	− 0.3206**(0.1537)	− 0.6218	− 0.0193	− 0.3411**(0.1550)	− 0.6449	− 0.0372
male	1 = male	− 0.0049(0.1172)	− 0.2348	0.2249	− 0.0279(0.1167)	− 0.2567	0.2008	− 0.2168*(0.1186)	− 0.4494	0.0157	− 0.1738(0.1193)	− 0.4077	0.0600
childdum	1 = has at least one child	0.5520***(0.1431)	0.2715	0.8325	0.4243***(0.1433)	0.1434	0.7052	0.2034(0.1448)	− 0.0804	0.4874	0.2120(0.1457)	− 0.0736	0.4976
MidwestSTdum	1 = from the Midwest	− 0.4197**(0.1742)	− 0.7613	− 0.0782	− 0.3240*(0.1726)	− 0.6624	0.0144	− 0.1383(0.1764)	− 0.4841	0.2074	− 0.1938(0.1764)	− 0.5398	0.1520
SouthSTdum	1 = from the South	− 0.5820***(0.1592)	− 0.8942	− 0.2698	− 0.5327***(0.1593)	− 0.8449	− 0.2204	− 0.2747*(0.1602)	− 0.5887	0.0393	− 0.1814(0.1606)	− 0.4963	0.1333
NortheastSTdum	1 = from the North East	− 0.2278(0.1791)	− 0.5789	0.1231	− 0.0513(0.1779)	− 0.4000	0.2973	− 0.1951(0.1812)	− 0.5504	0.1601	− 0.1410(0.1830)	− 0.4997	0.2177
Inclow	1 = income <$50,000	0.0144(0.1605)	− 0.3001	0.3290	0.0657(0.1617)	− 0.3827	0.2512	− 0.2032(0.1666)	− 0.5298	0.1232	− 0.0661(0.1688)	− 0.3970	0.2648
Inchigh	1 = income >$75,001	− 0.1757(0.1659)	− 0.5011	0.1495	− 0.1191(0.1659)	− 0.4443	0.2060	− 0.5581***(0.1702)	− 0.8918	− 0.2245	− 0.5442***(0.1705)	− 0.8783	− 0.2100
Degree	1 = has college degree	− 0.0024(0.1271)	− 0.2515	0.2466	− 0.0499(0.1276)	− 0.3002	0.2002	− 0.2238*(0.1309)	− 0.4804	0.0327	− 0.1640(0.1322)	− 0.4232	0.0951
HealthSum	Valuation of health	0.0824***(0.0159)	0.0512	0.1136	0.0744***(0.0158)	0.0433	0.1054	0.0621***(0.0158)	0.0311	0.0311	0.0814***(0.0159)	0.0501	0.1127
Cut one		− 0.4769(0.2342)			− 0.7376(0.2348)			− 2.0235(0.2454)			− 1.7848(0.2478)
Cut two		0.0812(0.2332)			− 0.1548(0.2336)			− 1.5495(0.2416)			− 1.3046(0.2439)
Cut three		0.9485(0.2351)			0.8696(0.2354)			− 0.6311(0.2379)			− 0.4022(0.2409)
Cut four		1.677(0.2399)			1.694(0.2402)			0.0854(0.2369)			0.2506(0.2407)
PsuedoR2Prob > Chi2Log likelihood		0.02750.0000 − 1462.2256			0.02160.0000 − 1483.7952			0.01390.0000 − 1416.0743			0.01690.0000 − 1386.8668

Significance is denoted at the 10% level by ⁎, at the 5% level by ⁎⁎, and at the 1% level by ⁎⁎⁎. The data for this analysis was collected via an online survey conducted by Purdue University taking place from February 10th–12th of 2016.

In addition to Florida and Texas, two other locations were investigated, namely Puerto Rico and Caribbean Islands, each in its own separate model. With respect to the outcomes of these two models, being from the two younger age brackets was associated with being less likely to avoid travel as was being from the higher income bracket (compared to middle income bracket) in this study. In addition, for both models (locations), just as was seen in the models for Florida and Texas, having higher levels of attention paid to health overall was associated with being more likely to avoid travel to these locations. In addition to these factors, three additional significant coefficients resulted from the model analyzing travel avoidance for Puerto Rico; being male was associated with being less likely to avoid travel (compared to being female), as was being from the South (relative to being from the West), and having a college degree (compared to not having a degree).

Conclusions and implications

Surprisingly few respondents were taking significant steps to reduce mosquito bites even though recognition of ZIKV and knowledge about the virus and transmission was reasonably high. From a public health perspective, this may indicate a failure to communicate appropriate disease prevention strategies to the U.S. population. Further work should be done to ensure awareness and implementation of vector-borne disease prevention strategies are being suitably employed. Overall travel avoidance to U.S. states for which ZIKV is a concern was increased for those with children, those from regions less likely to be impacted, and those more concerned about their health. Avoidance of travel to Caribbean Islands and Puerto Rico were similar in terms of the contribution of health; increased levels of concern for health were associated with increased levels/likelihood of avoidance of travel to these locations. While the factors contributing to travel avoidance are likely unsurprising, these findings are worrisome given earlier findings in this analysis highlighted that those who have traveled in the past year tended to be concerned about health (as well as have higher education, higher income, and often had children in the household). These findings suggest that travel avoidance is being influenced by precisely those factors which were associated with travelers. In particular, disease outbreaks in regions of the world typically frequented by vacation or leisure travelers may be problematic if travel to such destinations is avoided due to health concerns.

Conflict of interest

The authors declare there is no conflict of interest.

Variable description	% of respondents
Mosquito prevention
Yes: Bug spray or insect repellent	49.5
Yes: Clothing with long sleeves or pants specifically for insect bite control	21.2
Yes: Mosquito nets or other mechanisms	7.4
Yes: Actively remove standing water around our homes	21.9
Yes: Insect sprays, foggers, or other products to control mosquito populations in our yard or home	13.5
No active management	41.1
Awareness of Zika outbreak
I am aware of the Zika virus outbreak	83.6
I recall hearing of an outbreak, but do not recall the name of the illness	7.5
I am not aware of any outbreak	8.9
Awareness of effect on pregnant women
I am aware	81.2
I am not aware	18.8
Zika details awareness
Approximately 1 in 5 people infected with Zika virus will develop Zika and become ill.	29.6
The incubation period (the time from exposure to symptoms) for the Zika virus is not known, but is believed to be a few days to a week.	31.1
The Zika virus illness is usually mild and lasts for several days to a week.	33.7
People sick with the Zika virus do not usually get sick enough to go to the hospital.	28.9
People rarely die of Zika.	29.6
The Center for Disease Control in the United States has recommended that pregnant women postpone travel to destinations where Zika virus transmission is taking place.	29.6
There has been at least one known case of sexual transmission of the Zika virus in the United States.	42.1
I am not familiar with any of these details.	22.8
Awareness Zika symptoms
Fever	66.1
Joint pain	38.9
Rash	36.9
Conjunctivitis (red eyes)	22.8
Sneezing	16.5
Muscle pain	41.2
Headache	44.2
None of these symptoms are associated.	17.7
Before survey I was aware
The Zika virus is spread by the same type of mosquitoes as spread Dengue and Chikungunya	40.9
The mosquito that spreads the Zika virus bites primarily during the daytime	34.4
Mosquitoes can spread viruses among humans	80.6

The data for this analysis was collected via an online survey conducted by Purdue University taking place from February 10th–12th of 2016.