References
- Bauch JA, Gu JJ, Msellem M, Mårtensson A, Ali AS, Gosling R, Baltzell KA. 2013. Perception of malaria risk in a setting of reduced malaria transmission: A qualitative study in Zanzibar. Malar J. 12:75. doi:https://doi.org/10.1186/1475-2875-12-75.
- Benson K, Flory K, Humphreys KL, Lee SS. 2015. Misuse of stimulant medication among college students: A comprehensive review and meta-analysis. Clin Child Fam Psychol Rev. 18(1):50–76. doi:https://doi.org/10.1007/s10567-014-0177-z.
- Brugman S, Lobbestael J, Arntz A, Cima M, Schuhmann T, Dambacher F, Sack AT. 2015. Identifying cognitive predictors of reactive and proactive aggression. Aggress Behav. 41(1):51–64. doi:https://doi.org/10.1002/AB.21573.
- Carroll DM, Brame LS, Stephens LD, Wagener TL, Campbell JE, Beebe LA. 2018. Community-based study recruitment of American Indian cigarette smokers and electronic cigarette users. J Community Health. 43(1):186–192. doi:https://doi.org/10.1007/s10900-017-0401-0.
- Corrin T, Waddell L, Greig J, Young I, Hierlihy C, Mascarenhas M. 2017. Risk perceptions, attitudes, and knowledge of chikungunya among the public and health professionals: A systematic review. Trop Med Health. 45:21. doi:https://doi.org/10.1186/s41182-017-0061-x.
- DeGroote J, Mercer DR, Fisher J, Sugumaran R. 2007. Spatiotemporal investigation of adult mosquito (Diptera: culicidae) Populations in an Eastern Iowa County, USA. J Med Entomol. 44(6):1139–1150. doi:https://doi.org/10.1093/jmedent/44.6.1139.
- Dhar-Chowdhury P, Haque CE, Lindsay R, Hossain S. 2016. Socioeconomic and ecological factors influencing Aedes aegypti prevalence, abundance, and distribution in Dhaka, Bangladesh. Am J Trop Med Hyg. 94(6):1223–1233. doi:https://doi.org/10.4269/ajtmh.15-0639.
- Dunn Butterfoss FD, Kegler MC, Francisco VT. 2008. Mobilizing organizations for health promotion: theories of organizational change. In: Glanz K, Rimer BK, Viswanath K, editors. Health behavior and health education: theory, research, and practice. 4th ed. San Francisco: Jossey-Bass; p. 335–362.
- FEMA Disovery Report. 2015. Saline River Watershed, 05140204. Franklin, Gallatin, Hamilton, Hardin, Johnson, Pope, Saline, White, and Williamson Counties, Illinois.
- Ferrer R, Klein WM. 2015. Risk perceptions and health behavior. Curr Opin Psychol. 5::85–89. doi:https://doi.org/10.1016/j.copsyc.2015.03.012.
- Gerend MA, Aiken LS, West SG, Erchull MJ. 2004. Beyond medical risk: investigating the psychological factors underlying women’s perceptions of susceptibility to breast cancer, heart disease, and osteoporosis. Health Psycho. 23(3):247–258. doi:https://doi.org/10.1037/0278-6133.23.3.247.
- Grietens K, Xuan XN, Van Bortel W, Duc TN, Ribera JM, Ba Nhat T, Erhart A. 2010. Low perception of malaria risk among the Ra-glai ethnic minority in south-central Vietnam: implications for forest malaria control. Malar J. 9:23. doi:https://doi.org/10.1186/1475-2875-9-23.
- Haase CM, Silbereisen RK. 2011. Effects of positive affect on risk perceptions in adolescence and young adulthood. Journal of Adolescence. 34(1):29–37. doi:https://doi.org/10.1016/j.adolescence.2010.03.004.
- Haenchen SD, Hayden MH, Dickinson KL, Walker K, Jacobs EE, Brown HE, Ernst KC. 2016. Mosquito avoidance practices and knowledge of arboviral diseases in cities with differing recent history of disease. Am J Trop Med Hyg. 95(4):945–953. doi:https://doi.org/10.4269/ajtmh.15-0732.
- Hampson SE, Andrews JA, Barckley M, Lichtenstein E, Lee ME. 2000. Conscientiousness, perceived risk, and risk-reduction behaviors: A preliminary study. Health Psycho. 19(5):496–500. doi:https://doi.org/10.1037/0278-6133.19.5.496.
- Heitzinger K, Thoroughman DA, Porter KA. 2018. Knowledge, attitudes, and practices of women of childbearing age testing negative for Zika virus in Kentucky, 2016. Prev Med Rep. 10:20–23. doi:https://doi.org/10.1016/j.pmedr.2018.01.002.
- Kouabenan DR, Ngueutsa R, Mbaye S. 2015. Safety climate, perceived risk, and involvement in safety management. Saf Sci. 77:72–79. doi:https://doi.org/10.1016/j.ssci.2015.03.009.
- Miller JD, Lynam DR. 2006. Reactive and proactive aggression: similarities and differences. Pers Individ Dif. 41(8):1469–1480. doi:https://doi.org/10.1016/j.paid.2006.06.004.
- Moro ML, Gagliotti C, Silvi G, Angelini R, Sambri V, Rezza G, Massimiliani E, Mattivi A, Grilli E, Finarelli AC. 2010. Knowledge, attitudes and practices survey after an outbreak of chikungunya infections. Int Health. 2(3):223–227. doi:https://doi.org/10.1016/j.inhe.2010.07.003.
- Multi-harzard Mitigation Plan: Saline County, IL. 2012. https://www2.illinois.gov/iema/Mitigation/documents/CountyPlans/plan_SalineCounty.pdf.
- Nazareth T, Teodósio R, Porto G, Gonçalves L, Seixas G, Silva AC, Sousa CA. 2014. Strengthening the perception-assessment tools for dengue prevention: A cross-sectional survey in a temperate region (Madeira, Portugal). BMC Public Health. 14:39. doi:https://doi.org/10.1186/1471-2458-14-39.
- Nunnally JC, Bernstein IH. 1994. Psychometric theory. 3rd ed. New York (NY): McGraw-Hill.
- Patel AB, Rathod H, Shah P, Patel V, Garsondiya J, Sharma R. 2011. Perceptions regarding mosquito borne diseases in an urban area of Rajkot city. Natl J Med Res. 1(2):45–47.
- Prue CE, Roth JN Jr, Garcia-Williams A, Yoos A, Camperlengo L, DeWilde L, Hillman B. 2017. Awareness, beliefs, and actions concerning Zika virus among pregnant women and community members - U.S. Virgin Islands, November-December 2016. MMWR. 66(34):909–913. doi:https://doi.org/10.15585/mmwr.mm6634a4.
- R Core Team. 2017. R: A language and environment for statistical computing. Vienna (Austria): R Foundation for Statistical Computing. http://www.R-project.org/.
- Rader NE, May DC, Goodrum S. 2007. An empirical assessment of the “threat of victimization:” Considering fear of crime, perceived risk, avoidance, and defensive behaviors. Sociological Spectr. 27(5):475–505. doi:https://doi.org/10.1080/02732170701434591.
- Revelle W. 2017. psych: procedures for psychological, psychometric, and personality research (Version 1.7.5). http://cran.r-project.org/web/packages/psych/index.html.
- Rose A, Prager F, Chen Z, Chatterjee S, Wei D, Heatwole N, Warren E. 2017. Economic consequence analysis of disasters: The E-CAT Software Tool. Springer. doi:https://doi.org/10.1007/978-981-10-2567-9
- Schloerke B, Crowley J, Cook D, Hofmann H, Wickham H. 2017. ggally: R package that extends ggplot2 (Version 1.3.1). CRAN. https://cran.r-project.org/web/packages/GGally/index.html.
- Sedda L, Morley DW, Braks MAH, Simone LD, Benz D, Rogers DJ. 2014. Risk assessment of vector-borne diseases for public health governance. Public Health. 128(12):1049–1058. doi:https://doi.org/10.1016/j.puhe.2014.08.018.
- Setbon M, Raude J. 2009. Population response to the risk of vector-borne diseases: lessons learned from socio-behavioural research during large-scale outbreaks. Emerg Health Threats J. 2(1):7083. doi:https://doi.org/10.3402/ehtj.v2i0.7083.
- Skeem JL, Mulvey EP, Appelbaum P, Banks S, Grisso T, Silver E, Robbins PC. 2004. Identifying subtypes of civil psychiatric patients at high risk for violence. Crim Justice Behav. 31(4):392–437. doi:https://doi.org/10.1177/0093854803262585.
- Slovic P, Peters E. 2006. Risk perception and affect. Curr Dir Psychol Sci. 15(6):322–325. doi:https://doi.org/10.1111/j.1467-8721.2006.00461.x.
- Teese R, Bradley G. 2008. Predicting recklessness in emerging adults: A test of a psychosocial model. J Soc Psychol. 148(1):105–128. doi:https://doi.org/10.3200/SOCP.148.1.105-128.
- Terpstra T. 2011. Emotions, trust, and perceived risk: affective and cognitive routes to flood preparedness behavior. Risk Anal. 31(10):1658–1675. doi:https://doi.org/10.1111/j.1539-6924.2011.01616.x.
- U.S. Census Bureau. 2010. Annual estimates of the resident population for selected age groups by sex for the United States, States, Counties, and Puerto Rico Commonwealth and Municipios. https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=PEP_2016_PEPAGESEX&prodType=table.
- Walters GD. 2015. Proactive criminal thinking and the transmission of differential association: A cross-lagged multi-wave path analysis. Crim Justice Behav. 42(11):1128–1144. doi:https://doi.org/10.1177/0093854815582042.
- Wong LP, Alias H, Aghamohammadi N, I-ching S, AbuBakar S. 2017. Differences in perceived severity of Zika virus infection and Dengue fever and its influence on mosquito control practices in Malaysia. J Community Health. 42(5):854–864. doi:https://doi.org/10.1007/s10900-017-0326-7.
- Wu W-Y, Ke C-C. 2015. An online shopping behavior model integrating personality traits, perceived risk, and technology acceptance. Social Behavior & Personality: An International Journal. 43(1):85–97. doi:https://doi.org/10.2224/sbp.2015.43.1.85.
- Zielinski-Gutierrez EC, Hayden MH. 2006. A model for defining West Nile Virus risk perception based on ecology and proximity. EcoHealth. 3(1):28–34. doi:https://doi.org/10.1007/s10393-005-0001-9.
- Zimmerman GM. 2008. Beyond legal sanctions: the correlates of self-imposed and socially imposed extralegal risk perceptions. Deviant Behav. 29(2):157–190. doi:https://doi.org/10.1080/01639620701498844.