Search tips
Search criteria 


Logo of tropmedLink to Publisher's site
Am J Trop Med Hyg. 2011 December 1; 85(6): 1124–1125.
PMCID: PMC3225164

Race and Rickettsiae: A United States Perspective


US surveillance programs for Rocky Mountain spotted fever (RMSF), ehrlichiosis, and anaplasmosis collect demographic data on patients, including race and ethnicity. Reporting of these diseases among race groups is not uniform across the United States. Because a laboratory confirmation is required to meet the national surveillance case definition, reporting may be influenced by a patient's access to healthcare. Determining the association between race and ethnicity with incidence of rickettsial infections requires targeted, active surveillance.

Health disparities are an important issue in US public health programs. Racial minorities are at higher risk for a variety of infectious and chronic disease conditions, and the gap between socioeconomic status and access to healthcare varies widely by minority group.1 To better monitor civil rights, the US Office of Management and Budget (OMB) publishes guidelines for the standardized collection of race and ethnicity for government-sponsored data collection.2

The tick-borne rickettsial diseases Rocky Mountain spotted fever (RMSF), ehrlichiosis, and anaplasmosis are notifiable conditions in the United States.3,4 Demographic data, including race and ethnicity, are collected in these case reports, and these data have historically been assessed as part of national surveillance summaries. As defined by the Council of State and Territorial Epidemiologists (CSTE), surveillance case definitions for RMSF, ehrlichiosis, and anaplasmosis require accompanying laboratory evidence to classify a case as confirmed or probable.3,4 This requirement potentially biases reporting to patients with adequate healthcare coverage. Because race and ethnicity are associated with health insurance coverage, interpreting associations between reported incidence of rickettsial infections with race and ethnicity may be confounded by access to care.5

A recent review of national surveillance data for RMSF reported to the National Notifiable Disease System for Surveillance (NNDSS) from 2000 to 2007 included reported incidence by race and ethnicity.6 Race-specific reported incidence of RMSF was highest among American Indians (16.8 cases/1 million population) followed by white (4.4), black (2.6), and Asian/Pacific Islander (0.5).6 However, 17% of cases reported through NNDSS were missing race, and 28% of cases were missing ethnicity.6 A recent review of NNDSS data for ehrlichiosis and anaplasmosis from 2000 to 2007 did not include reported incidence by race, because 38% of cases were missing race and 50% were missing ethnicity.7 Other demographic variables, including age and gender, were more complete and included in analyses.7

Using cases reported to NNDSS and bridged race population estimates, we calculated the crude rate ratio (RR) of rickettsial diseases, with whites as the referent group (Table 1).8 Bridged race population estimates allow calculations of reported incidence rates where each case is reported under a single race group, whereas an individual may report multiple race groups to the census.8 However, crude estimates ignore the uneven geographic distribution of race, ethnicity, and incidence rates of rickettsial disease across the United States. To correct for possible confounding by county of residence, we calculated the Mantel–Haenszel (MH) estimator of the RR stratified on county of residence (Table 1).9,10 An assumption of the MH estimator is that the RR is equal across all counties; however, this assumption was violated, because RRs were not homogeneous (P value < 0.0001).

Table 1
Rate ratio (RR) of rickettsial disease incidence among race and ethnic groups by three methods: crude estimate, the Mantel–Haenszel (MH) estimate, and the zero-inflated Poisson (ZIP) estimate

To better characterize the association between race and ethnicity with reported incidence of these rickettsial diseases, we regressed reported incidence on race and ethnicity using univariate zero-inflated Poisson (ZIP) models.11 These ZIP models yield two sets of estimates: the odds of cases being reported with complete race or ethnicity and the rate among each race or ethnicity. The estimated RRs from the ZIP regression indicated an increased rate of rickettsial disease among American Indians relative to whites (Table 1). Cases among whites and non-Hispanics were more likely to be reported than other race and ethnic groups. An exception was anaplamosis, where cases among Hispanics were more likely to be reported relative to non-Hispanics (Table 2). From the ZIP regression, we speculate that a large burden of disease caused by RMSF, ehrlichiosis, and anaplasmosis during this time period was not reported, and this burden fell disproportionately on American Indians (Table 1).

These analyses highlight the difficulty in characterizing the burden of rickettsial diseases in the United States among race and ethnic groups: the estimated association between race and ethnicity with reported incidence of rickettsial disease is sensitive to analytical method. Other reviews of national surveillance data have found disparities between racial groups for a variety of infectious diseases.12,13 With reported rickettsial disease case counts in the thousands during this time period, analysis of reported incidence rates will frequently return statistically significant associations with race or ethnicity; however, assessing confounding and bias should take priority when analyzing data from national surveillance. We believe these data to be truncated; not all cases meeting the surveillance definitions are reported. Furthermore, the extent of truncation is associated with race, ethnicity, and county of residence (Table 2). Because of this truncation, accurate estimation of the association of race and ethnicity with reported incidence of rickettsial infections is difficult, if not impossible, with these data. Possibly, the large number of case reports with missing race and ethnicity represents this differential underreporting

Table 2
Odds ratio (OR) of reporting cases of rickettsial disease among race and ethnic groups from the zero-inflated Poisson model

Passive national surveillance systems rely on physicians and state health authorities to report cases. These surveillance systems are useful to monitor for general trends in incidence but are subject to reporting bias. Surveillance case definitions of RMSF, ehrlichiosis, and anaplasmosis require laboratory data to support a diagnosis before reporting.3,13 To meet these case definitions, patients must have adequate healthcare insurance or be able to pay for testing out of pocket. Creating targeted, active surveillance programs with free or low-cost testing would provide better evidence to assess race and ethnicity as risk factors for rickettsial infections and develop appropriate public health interventions.


This project was possible because of the efforts from the National Center for Health Statistics, the National Center for Public Health Informatics, our partners at the State and Local Health Departments, and clinicians and laboratorians around the country. We are also grateful to Lindsey Pool for her continued assistance. We extend our thanks to Dr. Brad Biggerstaff for his constructive criticism of this manuscript. The Oak Ridge Institute for Science and Education, the US Department of Energy, and the Centers for Disease Control and Prevention financially supported and sponsored the authorship of this paper. The findings and conclusions in this article are the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.


Authors' address: F. Scott Dahlgren, Ramal Moonesinghe, and Jennifer H. McQuiston, Rickettsial Zoonoses Branch, Division of Vectorborne Infectious Diseases, National Center for Emerging and Zoonotic Infectious Disease, Centers for Disease Control and Prevention, Atlanta, GA; and Office of Minority Health and Health Disparities, Office of the Director, Centers for Disease Control and Prevention, Atlanta, GA, E-mails: iot0/at/, zor7/at/, and fzh7/at/


1. Centers for Disease Control and Prevention CDC health disparities and inequalities report—United States, 2011. MMWR Morb Mortal Wkly Rep. 2011;60(Suppl):1–113.
2. The Office of Minority Health OMB Standards for Data on Race and Ethnicity. 2010. Available at. Accessed February 9, 2011.
3. Counsel of State and Territorial Epidemiologists Position Statements 2007 ID-03: Revision of the National Surveillance Case Definition for Ehrlichiosis (Ehrlichiosis/Anaplasmosis) 2007. Available at. Accessed December 8, 2009.
4. Counsel of State and Territorial Epidemiologists Position Statement 09-ID-16: Public Health Reporting and National Notification for Spotted Fever Rickettsiosis (Including Rocky Mountain spotted fever) 2009. Available at. Accessed November 24, 2010.
5. Moonesinghe R, Zhu J, Truman BI. Health insurance coverage—United States, 2004 and 2008. MMWR Morb Mortal Wkly Rep. 2011;60:35–37.
6. Openshaw JJ, Swerdlow DL, Krebs JW, Holman RC, Mandel E, Harvey A, Haberling D, Massung RF, McQuiston JH. Rocky Mountain spotted fever in the United States, 2000–2007: interpreting contemporary increases in incidence. Am J Trop Med Hyg. 2010;83:174–182. [PMC free article] [PubMed]
7. Dahlgren FS, Mandel E, Krebs J, Massung RF, McQuiston JH. Increasing incidence of Ehrlichia chaffeensis and Anaplasma phagocytophilum in the United States: 2000 through 2007. Am J Trop Med Hyg. 85:124–131. [PMC free article] [PubMed]
8. National Center for Health Statistics Postcensal Estimates of the Resident Population of the United States for July 1, 2000–July 1, 2008 by Year, County, Age, Bridged Race, Hispanic Origin, and Sex (Vintage 2008). Prepared Under a Collaborative Arrangement with the U.S. Census Bureau. 2009. Available at. Accessed March 29, 2010.
9. Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst. 1959;22:719–748. [PubMed]
10. Nurminen M. Asymptotic efficiency of general non-iterative estimators of common relative risk. Biometrika. 1981;68:525–530.
11. Lambert D. Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics. 1992;34:1–14.
12. Centers for Disease Control and Prevention Racial disparities in nationally notifiable diseases—United States, 2002. MMWR Morb Mortal Wkly Rep. 2005;54:9–11. [PubMed]
13. Hall HI, Hughes D, Dean HD, Mermin JH, Fenton KA. HIV infection—United States, 2005 and 2008. MMWR Morb Mortal Wkly Rep. 2011;60:87–89.

Articles from The American Journal of Tropical Medicine and Hygiene are provided here courtesy of The American Society of Tropical Medicine and Hygiene