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Volume 31, Number 9—September 2025

CME ACTIVITY - Research

Rickettsioses as Underrecognized Cause of Hospitalization for Febrile Illness, Uganda

Paul W. BlairComments to Author , Sultanah Alharthi, Andrés F. Londoño, Abdullah Wailagala, Yukari C. Manabe, J. Stephen Dumler, and the Acute Febrile Illness and Sepsis in Uganda Study Teams1
Author affiliation: Vanderbilt University Medical Center, Nashville, Tennessee, USA (P.W. Blair, S. Alharthi); Uniformed Services University, Bethesda, Maryland, USA (A.F. Londoño, J.S. Dumler); Makerere University, Kampala, Uganda (A. Wailagala); Johns Hopkins University School of Medicine, Baltimore, Maryland, USA (Y.C. Manabe)

Main Article

Figure 1

Alluvial plots of baseline acute serum samples from study of rickettsioses as an underrecognized cause of hospitalization for febrile illness, Uganda. A) Spotted fever group rickettsiae; B) typhus group rickettsiae. Immunofluorescence assay IgG seroprevalence is shown for different sites and different titer cutoffs. Participant samples were from referral hospital clinical study sites in Arua (in yellow; 7.6% of participants), Mubende (in red, 20.6% of participants), and in Fort Portal (in blue, 71.8%). Distribution of the colored lines across the graph shows a comparison of positive or negative samples among the sites. Green is the total percentage of negative samples. Orange is the total percentage of positive samples. Neg, negative; pos, positive.

Figure 1. Alluvial plots of baseline acute serum samples from study of rickettsioses as an underrecognized cause of hospitalization for febrile illness, Uganda. A) Spotted fever group rickettsiae; B) typhus group rickettsiae. Immunofluorescence assay IgG seroprevalence is shown for different sites and different titer cutoffs. Participant samples were from referral hospital clinical study sites in Arua (in yellow; 7.6% of participants), Mubende (in red, 20.6% of participants), and in Fort Portal (in blue, 71.8%). Distribution of the colored lines across the graph shows a comparison of positive or negative samples among the sites. Green is the total percentage of negative samples. Orange is the total percentage of positive samples. Neg, negative; pos, positive.

Main Article

1Members are listed at the end of this article.

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Page updated: August 22, 2025
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