CSTE Applied Epidemiology Fellow

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Presentation transcript:

CSTE Applied Epidemiology Fellow Demographic and travel characteristics of Travel-associated Zika virus infection cases in San Diego County, California, January 1 2016 to march 31 2017 Gabriela Escutia, MPH CSTE Applied Epidemiology Fellow CSTE 2017 Conference June 5, 2017

Disclaimer The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention or County of San Diego Health and Human Services Agency.

background What is Zika Virus? Flavivirus spread to people primarily through the bite of an infected Aedes species mosquito (Ae. aegypti and Ae. albopictus) Sexual and congenital transmission 80% have no symptoms Symptoms usually mild Linked to birth defects (microcephaly) and Guillain-Barré syndrome No treatment or licensed vaccines

Continental US States with ZIKV Cases, 2015-2017 ~ 527 78 Total as of 5/17/2017: US States = 4,949 Total as of 3/31/2017: San Diego County = 78 Sources: CDC, CDPH. Downloaded 5/17/17 from: https://www.cdc.gov/zika/reporting/2017-case-counts.html https://archive.cdph.ca.gov/HealthInfo/discond/Pages/Zika.aspx

ZIKV Epidemiological Surveillance ZIKV infection: A NATIONAL reportable condition ArboNET: National surveillance system for arboviral diseases in the United States Demographic and travel information collected: Age, gender, race/ethnicity, country of birth, country of travel Information not collected: Language, reason for travel, and travel duration Information is needed to guide culturally and linguistically targeted public health interventions

Objectives To describe demographics, travel patterns, and other characteristics among travel-associated Zika virus (ZIKV) infection cases in San Diego County To compare San Diego County travel-associated ZIKV cases by reason of travel

San Diego County Epidemiology Program Methods San Diego County Epidemiology Program As of February 2016, enhanced completeness of demographic variables for travel-associated ZIKV cases Added questions to surveillance form: travel duration and reason for travel (tourism, visiting friends and relatives (VFRs), business or study) Trained epidemiology staff Weekly database quality assurance for completeness

Analysis Confirmed* and probable* San Diego County travel-associated ZIKV cases were reviewed by country of travel information Episode month**: January 1, 2016 to March 31, 2017 Univariate analysis Bivariate analysis*** by: Race/Ethnicity Gender Country of birth Purpose of travel SPSS Version 24 * CSTE case definitions ** Episode month: the month of symptom on set or earliest available date (specimen collection month or month case was reported) *** χ2 test and Freeman-Halton Exact Test

San Diego County ZikV cases Results San Diego County ZikV cases by episode month (n=78) *Cases extracted from system March 31 2017( Last episode month for confirmed and probable cases was January 31 2017)

ZIKV CASES BY SEX AND RACE/ETHNICITY (N=78) Results ZIKV CASES BY SEX AND RACE/ETHNICITY (N=78)

results Percentage of ZikV Cases by Race/Ethnicity compared to San Diego County population* (N=78)

ZIKV CASES BY race/ethnicity AND Language of the interview (n=78) Results ZIKV CASES BY race/ethnicity AND Language of the interview (n=78)

results Percentage of ZikV cases by Gender and selected Race/ethnicity Compared to san Diego county population*

women (n=43) by pregnancy status Pregnant Women by Race/ Ethnicity Results women (n=43) by pregnancy status Pregnant Women by Race/ Ethnicity Group n Hispanic 4 Asian 2 Total 6

Results foreign-born (n=26) ZiKV cases versus San Diego County Foreign-born population* ‡ ‡ p-value=0.039 *U.S. Census Bureau, 2015 American Community Survey 1-Year Estimates

ZIKV cases by region of birth Results ZIKV cases by region of birth and Region of travel Region of travel Mexico Central America South America Caribbean Other US-born 13 15 2 4 14 1 3 Region of birth

ZIKV cases by reason for travel Results ZIKV cases by reason for travel

ZIKV cases by Ethnicity, nativity and purpose of travel results ZIKV cases by Ethnicity, nativity and purpose of travel Nativity Purpose of Travel Ethnicity Foreign-born** n(%) US-Born VFRs** Non-VFRs Hispanic 22 (56) 17(44) 20(51) 22(49) Non-Hispanic 4 (12) 30(88) 8(23) 28(77) ** P-value < 0.05

Median Travel duration (days) by purpose of travel (N=73) Results Median Travel duration (days) by purpose of travel (N=73) 8 days 1 2 3 4 5 6 7 8 10 days Non-VFRs* 1 2 3 4 5 6 7 8 9 10 VFRs* *p-value=0.03 Note: 3 cases with missing data; 2 cases excluded (cases resided outside US before diagnosis)

Limitations Information on travel frequency and patterns among the San Diego County resident population was unavailable for this analysis and thus no assessment of ZIVK infection risk can be inferred from this study Results might be different in other US geographical areas due to differences in population demographics and travel patterns Surveillance data used may not be representative of all infected travelers, as not all seek medical care or are tested for ZIKV infection

Discussion The majority ZIKV cases in San Diego County were in Hispanics, particularly Hispanic women Hispanic ZIKV cases were more likely to be foreign-born, VFR travelers and travel to their region of origin ZIKV cases were more likely to be foreign-born than US-born when compared to overall foreign-born population Enhanced collection and analysis of demographics and travel-associated information is needed to identify populations at need for targeted public health interventions Continuous culturally and linguistically appropriate outreach and education is needed for Hispanic travelers in San Diego County

Alfonso Rodriguez Lainz, PhD Co-authors Acknowledgments Eric McDonald, MD, MPH Alfonso Rodriguez Lainz, PhD Jessica Healy, PhD I would like to express my gratitude to Kristen Angel, MPH, for her contribution to the review of cases and the San Diego County Epidemiology program staff for their assistance on enhancing data collection. This project was supported, in part by an appointment to the CSTE Applied Epidemiology Fellowship program, administered by the Council of State and Territorial Epidemiologists (CSTE) and funded by the Centers for Disease Control and Prevention (CDC) Cooperative Agreement Number 1U38OT000143-03.

Open discussion THANK YOU