<!DOCTYPE article
PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.3 20210610//EN" "JATS-archivearticle1-3-mathml3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="brief-report"><?properties open_access?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-ta">Emerg Infect Dis</journal-id><journal-id journal-id-type="iso-abbrev">Emerg Infect Dis</journal-id><journal-id journal-id-type="publisher-id">EID</journal-id><journal-title-group><journal-title>Emerging Infectious Diseases</journal-title></journal-title-group><issn pub-type="ppub">1080-6040</issn><issn pub-type="epub">1080-6059</issn><publisher><publisher-name>Centers for Disease Control and Prevention</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">37347821</article-id><article-id pub-id-type="pmc">10310371</article-id><article-id pub-id-type="publisher-id">23-0037</article-id><article-id pub-id-type="doi">10.3201/eid2907.230037</article-id><article-categories><subj-group subj-group-type="heading"><subject>Dispatch</subject></subj-group><subj-group subj-group-type="article-type"><subject>Dispatch</subject></subj-group><subj-group subj-group-type="TOC-title"><subject>Nonnegligible Seroprevalence and Predictors of Murine Typhus, Japan</subject></subj-group></article-categories><title-group><article-title>Nonnegligible Seroprevalence and Predictors of Murine Typhus, Japan</article-title><alt-title alt-title-type="running-head">Seroprevalence and Predictors of Murine Typhus</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Aita</surname><given-names>Tetsuro</given-names></name></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Sando</surname><given-names>Eiichiro</given-names></name></contrib><contrib contrib-type="author"><name><surname>Katoh</surname><given-names>Shungo</given-names></name></contrib><contrib contrib-type="author"><name><surname>Hamaguchi</surname><given-names>Sugihiro</given-names></name></contrib><contrib contrib-type="author"><name><surname>Fujita</surname><given-names>Hiromi</given-names></name></contrib><contrib contrib-type="author"><name><surname>Kurita</surname><given-names>Noriaki</given-names></name></contrib><aff id="aff1">Fukushima Medical University, Fukushima, Japan (T. Aita, E. Sando, S. Katoh, S. Hamaguchi, N. Kurita); </aff><aff id="aff2">Kita-Fukushima Medical Center, Fukushima (E. Sando, S. Katoh, H. Fujita)</aff></contrib-group><author-notes><corresp id="cor1">Address for correspondence: Eiichiro Sando, Department of General Internal Medicine and Clinical Infectious Diseases, Fukushima Medical University, 1 Hikarigaoka, Fukushima city, Fukushima, 960-1295, Japan; email: <email xlink:href="e-sando@fmu.ac.jp">e-sando@fmu.ac.jp</email></corresp></author-notes><pub-date pub-type="ppub"><month>7</month><year>2023</year></pub-date><volume>29</volume><issue>7</issue><fpage>1438</fpage><lpage>1442</lpage><permissions><copyright-year>2023</copyright-year><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" specific-use="textmining" content-type="ccbylicense">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.</license-p></license></permissions><abstract><p>To elucidate the epidemiology of murine typhus, which is infrequently reported in Japan, we conducted a cross-sectional study involving 2,382 residents of rickettsiosis-endemic areas in Honshu Island during August&#x02013;November 2020. <italic>Rickettsia typhi</italic> seroprevalence rate was higher than that of <italic>Orientia tsutsugamushi</italic>, indicating that murine typhus is a neglected disease.</p></abstract><kwd-group kwd-group-type="author"><title>Keywords: </title><kwd>murine typhus</kwd><kwd>seroepidemiological studies</kwd><kwd>cross-sectional studies</kwd><kwd><italic>Rickettsia typhi</italic></kwd><kwd>typhus</kwd><kwd>flea borne</kwd><kwd>scrub typhus</kwd><kwd><italic>Orientia tsutsugamushi</italic></kwd><kwd>Japanese spotted fever</kwd><kwd><italic>Rickettsia japonica</italic></kwd><kwd>spotted fever group rickettsiosis</kwd><kwd>rickettsia</kwd><kwd>vector-borne infections</kwd><kwd>Japan</kwd><kwd>bacteria</kwd></kwd-group></article-meta></front><body><p>Murine typhus (MT), a fleaborne rickettsiosis caused by the bacterium <italic>Rickettsia typhi</italic>, is a ubiquitous but clinically less recognizable disease than scrub typhus or spotted fever group rickettsioses (<xref rid="R1" ref-type="bibr"><italic>1</italic></xref>). Limited testing because of the infection&#x02019;s nonspecific symptoms and the need for expert laboratories for serodiagnosis makes MT an underrecognized infection. MT occurs worldwide and is endemic to warm urban or coastal regions where the climate is favorable for rats, which can serve as the reservoir of <italic>R. typhi</italic>. However, epidemiologic characteristics and risk factors often vary by region (<xref rid="R1" ref-type="bibr"><italic>1</italic></xref>&#x02013;<xref rid="R3" ref-type="bibr"><italic>3</italic></xref>). Therefore, accumulating specific and local evidence from each region is required to elucidate the complete picture of MT epidemiology.</p><p>In Japan, MT with <italic>Xenopsylla cheopis</italic> fleas as the vector and <italic>Rattus rattus</italic> or <italic>R. norvegicus</italic> rats as the reservoir was endemic before the 1950s (<xref rid="R4" ref-type="bibr"><italic>4</italic></xref>), but the disease has not been notifiable; only a few cases have been reported since then (<xref rid="R5" ref-type="bibr"><italic>5</italic></xref>). As a consequence, the epidemiologic characteristics remain unknown, rendering MT an underrecognized and neglected infection. Clarifying the epidemiologic features of MT in Japan will help clinicians recognize the disease and provide early treatment. We estimate the seroprevalence of rickettsia, primarily of <italic>R. typhi</italic>, in rickettsia-endemic areas of Honshu Island (the largest island of Japan) and characterize the risk factors for MT.</p><sec sec-type="other1"><title>The Study</title><p>We conducted a cross-sectional study in 3 sites in the southeastern part of Honshu (Boso Peninsula), endemic areas for scrub typhus and Japanese spotted fever (<xref rid="R6" ref-type="bibr"><italic>6</italic></xref>). We included persons who underwent regular checkups during August&#x02013;November 2020 (<xref rid="SD1" ref-type="supplementary-material">Appendix</xref>). Questionnaires were distributed during checkups, and the following data were collected: medical history of rickettsioses; environmental exposure to mountains, agriculture, and bushes; and residential addresses. The respondents were asked through questionnaires whether they resided in or had visited mountainous areas, had visited areas with small trees and weeds, or engaged in agricultural work. In addition, we measured the population density and area of each land use (coasts, forests, farmland, rivers or lakes, and wilderness) within a 500-meter radius of the participant&#x02019;s address (<xref rid="SD1" ref-type="supplementary-material">Appendix</xref>). The study was approved by the Institutional Review Boards of Nagasaki University and Fukushima Medical University (approval nos. 200305230-2 and 2022-190). Written consent was obtained from all participants.</p><p>The primary outcomes were <italic>R. typhi</italic> seroprevalence and ratio of <italic>R. typhi to Orientia tsutsugamushi</italic> seroprevalence. <italic>O. tsutsugamushi</italic> was selected as the comparator outcome because scrub typhus is a notifiable disease and the rickettsiosis most endemic to Japan. Furthermore, we evaluated the seroprevalence of <italic>R. japonica</italic>, the pathogen of Japanese spotted fever, to determine the possibility of an apparently high seroprevalence of <italic>R. typhi</italic> because of cross-reactivity in the genus <italic>Rickettsia</italic> (<xref rid="R7" ref-type="bibr"><italic>7</italic></xref>) (<xref rid="SD1" ref-type="supplementary-material">Appendix</xref>). We defined seropositivity as a ratio of <underline>&#x0003e;</underline>1:40 and defined <italic>O. tsutsugamushi</italic> seropositivity as a positive result for any of the <italic>O. tsutsugamushi</italic> serotypes. The sensitivity analyses estimated the seroprevalences at cutoff titers of 1:80 and 1:160.</p><p>Because the seropositivity rates of <italic>R. typhi</italic> and <italic>O. tsutsugamushi</italic> were regarded as paired binomial data, we tested the difference in their prevalence by using the McNemar test (<xref rid="R8" ref-type="bibr"><italic>8</italic></xref>) and estimated it using conditional Poisson regression (<xref rid="SD1" ref-type="supplementary-material">Appendix</xref>). To explore the factors associated with <italic>R. typhi</italic> seropositivity, we fitted a logistic regression model by using the candidate risk factors. We assessed whether there were differences in the seroprevalence ratios across study sites and conducted the imputation of missing values (<xref rid="SD1" ref-type="supplementary-material">Appendix</xref>).</p><p>The median age of all participants was 67 years. <italic>R. typhi</italic>&#x02013;seropositive participants exhibited a lower population density than <italic>R. typhi</italic>&#x02013;seronegative participants, showing a similar trend to <italic>O. tsutsugamushi</italic> (<xref rid="T1" ref-type="table">Table 1</xref>; <xref rid="SD1" ref-type="supplementary-material">Appendix</xref>
<xref rid="T1" ref-type="table">Table 1</xref>). The residential locations of <italic>R. typhi</italic>&#x02013;seropositive participants were distributed throughout the Boso Peninsula, and a similar distribution was observed for <italic>O. tsutsugamushi</italic>&#x02013;seropositive participants (<xref rid="SD1" ref-type="supplementary-material">Appendix</xref>
<xref rid="F1" ref-type="fig">Figures 1</xref>, <xref rid="F2" ref-type="fig">2</xref>). Although &#x02248;60% of <italic>R. typhi</italic>&#x02013;seropositive participants had titers of <underline>&#x0003c;</underline>160, 20 participants had titers of <underline>&#x0003e;</underline>1,280, and 4 had titers of <underline>&#x0003e;</underline>40,960 (<xref rid="T2" ref-type="table">Table 2</xref>). Most <italic>O. tsutsugamushi</italic>&#x02013;seropositive participants had lower titers, although some exhibited notably high titers (<xref rid="SD1" ref-type="supplementary-material">Appendix</xref>
<xref rid="T2" ref-type="table">Table 2</xref>).</p><table-wrap position="float" id="T1"><label>Table 1</label><caption><title>Characteristics and residential geographic features for participants in study of seroprevalence and predictors of murine typhus, by <italic>Rickettsia typhi</italic> IgG seropositivity status, Japan*</title></caption><table frame="hsides" rules="groups"><col width="171" span="1"/><col width="103" span="1"/><col width="108" span="1"/><col width="99" span="1"/><thead><tr><th valign="top" align="left" scope="col" rowspan="1" colspan="1">Characteristic</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1"><italic>R. typhi</italic>&#x02013;positive, n = 269</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1"><italic>R. typhi</italic>&#x02013;negative, n = 2,113</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">Total, n = 2,382</th></tr></thead><tbody><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Sex</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> F</td><td valign="top" align="center" rowspan="1" colspan="1">123 (45.7)</td><td valign="top" align="center" rowspan="1" colspan="1">1,080 (51.1)</td><td valign="top" align="center" rowspan="1" colspan="1">1,203 (50.5)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> M<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">146 (54.3)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">1,033 (48.9)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">1,179 (49.5)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Age group, y</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">
<underline>&#x0003c;</underline>40</td><td valign="top" align="center" rowspan="1" colspan="1">2 (0.7)</td><td valign="top" align="center" rowspan="1" colspan="1">109 (5.2)</td><td valign="top" align="center" rowspan="1" colspan="1">111 (4.6)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 41&#x02013;50</td><td valign="top" align="center" rowspan="1" colspan="1">11 (4.1)</td><td valign="top" align="center" rowspan="1" colspan="1">269 (12.7)</td><td valign="top" align="center" rowspan="1" colspan="1">280 (11.8)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 51&#x02013;60</td><td valign="top" align="center" rowspan="1" colspan="1">15 (5.6)</td><td valign="top" align="center" rowspan="1" colspan="1">350 (16.6)</td><td valign="top" align="center" rowspan="1" colspan="1">365 (15.3)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 61&#x02013;70</td><td valign="top" align="center" rowspan="1" colspan="1">71 (26.4)</td><td valign="top" align="center" rowspan="1" colspan="1">695 (32.9)</td><td valign="top" align="center" rowspan="1" colspan="1">766 (32.2)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 71&#x02013;80</td><td valign="top" align="center" rowspan="1" colspan="1">113 (42)</td><td valign="top" align="center" rowspan="1" colspan="1">576 (27.2)</td><td valign="top" align="center" rowspan="1" colspan="1">689 (28.9)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">
<underline>&#x0003e;</underline>81<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">57 (21.2)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">114 (5.4)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">171 (7.2)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Site </td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Otaki</td><td valign="top" align="center" rowspan="1" colspan="1">180 (66.9)</td><td valign="top" align="center" rowspan="1" colspan="1">891 (42.2)</td><td valign="top" align="center" rowspan="1" colspan="1">1,071 (45)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Katsuura</td><td valign="top" align="center" rowspan="1" colspan="1">42 (15.6)</td><td valign="top" align="center" rowspan="1" colspan="1">250 (11.8)</td><td valign="top" align="center" rowspan="1" colspan="1">292 (12.2)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Kameda<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">47 (17.5)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">972 (46)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">1,019 (42.8)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Medical history</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> None</td><td valign="top" align="center" rowspan="1" colspan="1">227 (84.4)</td><td valign="top" align="center" rowspan="1" colspan="1">1,787 (85)</td><td valign="top" align="center" rowspan="1" colspan="1">2,014 (84.9)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Scrub typhus</td><td valign="top" align="center" rowspan="1" colspan="1">8 (3.0)</td><td valign="top" align="center" rowspan="1" colspan="1">32 (1.5)</td><td valign="top" align="center" rowspan="1" colspan="1">40 (1.7)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Japanese spotted fever</td><td valign="top" align="center" rowspan="1" colspan="1">2 (0.7)</td><td valign="top" align="center" rowspan="1" colspan="1">0</td><td valign="top" align="center" rowspan="1" colspan="1">2 (0.1)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Both</td><td valign="top" align="center" rowspan="1" colspan="1">0</td><td valign="top" align="center" rowspan="1" colspan="1">1 (0.1)</td><td valign="top" align="center" rowspan="1" colspan="1">1 (0)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Unknown</td><td valign="top" align="center" rowspan="1" colspan="1">32 (11.9)</td><td valign="top" align="center" rowspan="1" colspan="1">283 (13.5)</td><td valign="top" align="center" rowspan="1" colspan="1">315 (13.3)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Missing <hr/></td><td valign="top" align="center" rowspan="1" colspan="1">0<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">10<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">10<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Environmental exposure history</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Mountains</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Yes</td><td valign="top" align="center" rowspan="1" colspan="1">70 (26)</td><td valign="top" align="center" rowspan="1" colspan="1">456 (21.6)</td><td valign="top" align="center" rowspan="1" colspan="1">526 (22.1)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> No</td><td valign="top" align="center" rowspan="1" colspan="1">199 (74)</td><td valign="top" align="center" rowspan="1" colspan="1">1,657 (78.4)</td><td valign="top" align="center" rowspan="1" colspan="1">1,856 (77.9)</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Agriculture</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Yes</td><td valign="top" align="center" rowspan="1" colspan="1">135 (50.2)</td><td valign="top" align="center" rowspan="1" colspan="1">766 (36.3)</td><td valign="top" align="center" rowspan="1" colspan="1">901 (37.8)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> No</td><td valign="top" align="center" rowspan="1" colspan="1">134 (49.8)</td><td valign="top" align="center" rowspan="1" colspan="1">1,347 (63.7)</td><td valign="top" align="center" rowspan="1" colspan="1">1,481 (62.2)</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Bushes&#x02020;</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Yes</td><td valign="top" align="center" rowspan="1" colspan="1">141 (52.4)</td><td valign="top" align="center" rowspan="1" colspan="1">856 (40.5)</td><td valign="top" align="center" rowspan="1" colspan="1">997 (41.9)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> No<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">128 (47.6)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">1,257 (59.5)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">1,385 (58.1)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Environment surrounding the residence</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Population density, persons/km<sup>2</sup> &#x02028; (5th&#x02013;95th percentile)</td><td valign="top" align="center" rowspan="1" colspan="1">244 (32&#x02013;1,207)</td><td valign="top" align="center" rowspan="1" colspan="1">356 (45&#x02013;3,354)</td><td valign="top" align="center" rowspan="1" colspan="1">306 (44&#x02013;3,148)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Missing</td><td valign="top" align="center" rowspan="1" colspan="1">3</td><td valign="top" align="center" rowspan="1" colspan="1">26</td><td valign="top" align="center" rowspan="1" colspan="1">29</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Coasts, m<sup>2</sup> (5th&#x02013;95th percentile)</td><td valign="top" align="center" rowspan="1" colspan="1">0 (0&#x02013;235,132)</td><td valign="top" align="center" rowspan="1" colspan="1">0 (0&#x02013;232,102)</td><td valign="top" align="center" rowspan="1" colspan="1">0 (0&#x02013;233,502)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Missing</td><td valign="top" align="center" rowspan="1" colspan="1">0</td><td valign="top" align="center" rowspan="1" colspan="1">3</td><td valign="top" align="center" rowspan="1" colspan="1">3</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Forests, m<sup>2</sup> (5th&#x02013;95th percentile)</td><td valign="top" align="center" rowspan="1" colspan="1">307,376 (76,276&#x02013;664,633)</td><td valign="top" align="center" rowspan="1" colspan="1">269,342 (6,023&#x02013;616,031)</td><td valign="top" align="center" rowspan="1" colspan="1">273,757 (7,231&#x02013;621,401)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Missing</td><td valign="top" align="center" rowspan="1" colspan="1">0</td><td valign="top" align="center" rowspan="1" colspan="1">3</td><td valign="top" align="center" rowspan="1" colspan="1">3</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Farmland, m<sup>2</sup> (5th&#x02013;95th percentile)</td><td valign="top" align="center" rowspan="1" colspan="1">236,624 (14,833&#x02013;458,114)</td><td valign="top" align="center" rowspan="1" colspan="1">233,350 (0&#x02013;486,875)</td><td valign="top" align="center" rowspan="1" colspan="1">233,414 (0&#x02013;483,051)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Missing </td><td valign="top" align="center" rowspan="1" colspan="1">0</td><td valign="top" align="center" rowspan="1" colspan="1">3</td><td valign="top" align="center" rowspan="1" colspan="1">3</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Rivers and lakes, m<sup>2</sup> (5th&#x02013;95th percentile)</td><td valign="top" align="center" rowspan="1" colspan="1">17,596 (0&#x02013;101,103)</td><td valign="top" align="center" rowspan="1" colspan="1">13,917 (0&#x02013;84,788)</td><td valign="top" align="center" rowspan="1" colspan="1">14,279 (0&#x02013;86,124)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Missing </td><td valign="top" align="center" rowspan="1" colspan="1">0</td><td valign="top" align="center" rowspan="1" colspan="1">3</td><td valign="top" align="center" rowspan="1" colspan="1">3</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Wilderness, m<sup>2</sup> (5th&#x02013;95th percentile)</td><td valign="top" align="center" rowspan="1" colspan="1">0 (0&#x02013;27,181)</td><td valign="top" align="center" rowspan="1" colspan="1">0 (0&#x02013;25,095)</td><td valign="top" align="center" rowspan="1" colspan="1">0 (0&#x02013;25,391)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Missing </td><td valign="top" align="center" rowspan="1" colspan="1">0</td><td valign="top" align="center" rowspan="1" colspan="1">3</td><td valign="top" align="center" rowspan="1" colspan="1">3</td></tr></tbody></table><table-wrap-foot><p>*Values are no. (%) except as indicated. Continuous and categorical variable data are presented as median (5th&#x02013;95th percentile) and frequency (%).
&#x02020;Bushes refer to areas with small trees and weeds.</p></table-wrap-foot></table-wrap><fig position="float" id="F1" fig-type="figure"><label>Figure 1</label><caption><p>Seroprevalence rates of <italic>Rickettsia typhi</italic> and <italic>Orientia tsutsugamushi</italic> in study of seroprevalence and predictors of murine typhus, Japan. <italic>R. typhi</italic> IgG was detected in 11.3% (95% CI 10.0&#x02013;12.6) of participants and <italic>O. tsutsugamushi</italic> IgG was detected in 7.9% (95% CI 6.9&#x02013;9.1) of all participants. The seroprevalence of both infections was compared using the McNemar test. The estimated seropositivity ratio was 1.42 (95% CI 1.20&#x02013;1.68).</p></caption><graphic xlink:href="23-0037-F1" position="float"/></fig><fig position="float" id="F2" fig-type="figure"><label>Figure 2</label><caption><p>Predictors of <italic>Rickettsia typhi</italic> IgG seropositivity in study of seroprevalence and predictors of murine typhus, Japan. Shown are adjusted odds ratios for age per 10-year increase; population density increase; residential geographic features, such as coasts, forests, farmland, and rivers and lakes; and wilderness per 10-hectare increase. Bushes refer to areas with small trees and weeds.</p></caption><graphic xlink:href="23-0037-F2" position="float"/></fig><table-wrap position="float" id="T2"><label>Table 2</label><caption><title>Distribution of antibody titers in <italic>Rickettsia typhi</italic> IgG&#x02013;positive persons in study of seroprevalence and predictors of murine typhus, Japan</title></caption><table frame="hsides" rules="groups"><col width="81" span="1"/><col width="156" span="1"/><thead><tr><th valign="bottom" align="left" scope="col" rowspan="1" colspan="1">Antibody titer</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Seropositive participants, no. (%), n = 269 </th></tr></thead><tbody><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">1:40</td><td valign="top" align="center" rowspan="1" colspan="1">53 (19.7)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">1:80</td><td valign="top" align="center" rowspan="1" colspan="1">33 (12.3)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">1:160</td><td valign="top" align="center" rowspan="1" colspan="1">80 (29.7)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">1:320</td><td valign="top" align="center" rowspan="1" colspan="1">37 (13.7)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">1:640</td><td valign="top" align="center" rowspan="1" colspan="1">46 (17.1)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">1:1,280</td><td valign="top" align="center" rowspan="1" colspan="1">5 (1.9)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">1:2,560</td><td valign="top" align="center" rowspan="1" colspan="1">8 (3.0)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">1:5,120</td><td valign="top" align="center" rowspan="1" colspan="1">2 (0.7)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">1:10,240</td><td valign="top" align="center" rowspan="1" colspan="1">1 (0.4)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">1:20,480</td><td valign="top" align="center" rowspan="1" colspan="1">0 </td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"><underline>&#x0003e;</underline>1:40,960</td><td valign="top" align="center" rowspan="1" colspan="1">4 (1.5)</td></tr></tbody></table></table-wrap><p><italic>R. typhi</italic> seroprevalence was 11.3% higher than that of <italic>O. tsutsugamushi</italic> (7.9%) (ratio of seropositivity 1.42; 95% CI 1.20&#x02013;1.68) (<xref rid="F1" ref-type="fig">Figure 1</xref>). Of the 2,382 residents, 204 were <italic>R. japonica</italic> seropositive, for a seroprevalence of 8.6%, lower than that of <italic>R. typhi</italic>. Furthermore, the antibody titer for <italic>R. typhi</italic> was higher than that for <italic>R. japonica</italic> in participants who were seropositive for both <italic>R. typhi</italic> and <italic>R. japonica</italic> (<xref rid="SD1" ref-type="supplementary-material">Appendix</xref> Table 3). Results of the sensitivity analyses did not show any changes to the predominance of the <italic>R. typhi</italic> seroprevalence over the <italic>O. tsutsugamushi</italic> seroprevalence (<xref rid="SD1" ref-type="supplementary-material">Appendix</xref> Table 4). </p><p>According to the multivariate analysis (<xref rid="F2" ref-type="fig">Figure 2</xref>), the factors associated with <italic>R. typhi</italic> seropositivity were age (per 10-year increase; adjusted odds ratio [aOR] 2.09 [95% CI 1.80&#x02013;2.42]), low population density (per 1,000 persons/km<sup>2</sup> increase; aOR 0.59 [95% CI 0.40&#x02013;0.86]), and history of bush exposure (aOR 1.39 [95% CI 1.01&#x02013;1.92]) (<xref rid="SD1" ref-type="supplementary-material">Appendix</xref>).</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>We demonstrated robust findings of the predominance of <italic>R. typhi</italic> seroprevalence over <italic>O. tsutsugamushi</italic> seroprevalence in rickettsia-endemic areas in Japan. Previously, in those study areas, an epidemiologic study was conducted using now antiquated serologic methods, such as the Weil&#x02013;Felix test (<xref rid="R4" ref-type="bibr"><italic>4</italic></xref>), which provided unreliable MT and scrub typhus seroepidemiologic data (<xref rid="R9" ref-type="bibr"><italic>9</italic></xref>). Contrary to the previous study&#x02019;s findings, we were able to estimate rickettsiosis seroprevalence and confirm the predominance of MT more precisely using the standard diagnostic test.</p><p>This study illustrated that MT is a prevalent and possibly reemerging infection in Japan. Recently, in the United States (<xref rid="R10" ref-type="bibr"><italic>10</italic></xref>), Greece (<xref rid="R11" ref-type="bibr"><italic>11</italic></xref>), and Spain (<xref rid="R12" ref-type="bibr"><italic>12</italic></xref>), the incidence of MT has increased, partly because of improved disease recognition (<xref rid="R10" ref-type="bibr"><italic>10</italic></xref>) and a change in the transmission route (<xref rid="R13" ref-type="bibr"><italic>13</italic></xref>). Thus, given the high seroprevalence of <italic>R. typhi</italic> in Japan, case accumulation is crucial to clarify the possibility of a unique transmission cycle.</p><p>The risk factors for <italic>R. typhi</italic> seropositivity in this study differed from those in previous studies. The increase in <italic>R. typhi</italic> seroprevalence with decrease in residential population density contradicts the findings of previous studies that showed urban environment as a risk factor (<xref rid="R2" ref-type="bibr"><italic>2</italic></xref>,<xref rid="R14" ref-type="bibr"><italic>14</italic></xref>). In addition, exposure to weeded areas was identified as a risk factor, but residential environments, including those near coasts, rivers, and lakes, which have been reported as risk factors (<xref rid="R2" ref-type="bibr"><italic>2</italic></xref>,<xref rid="R3" ref-type="bibr"><italic>3</italic></xref>), were not correlated. The differences in risk factors between this study and previous studies might reflect differences in factors related to contact with vectors and reservoirs at each study site.</p><p>The first limitation of our study is that seropositivity to <italic>R. typhi</italic> could indicate cross-reactivity to <italic>R. japonica</italic>. However, because <italic>R. typhi</italic> seropositivity was higher than <italic>R. japonica</italic> seropositivity and the cross-reactivity rate to <italic>R. typhi</italic> in confirmed Japanese spotted fever patients is &#x02248;20% (<xref rid="R15" ref-type="bibr"><italic>15</italic></xref>), most patients with <italic>R. typhi</italic> seropositivity have a true MT infection. Second, we did not consider cross-reactivity within the same group (spotted fever or typhus group) in the genus <italic>Rickettsia</italic>. However, other diseases caused by this genus have been reported infrequently, except for Japanese spotted fever and MT in domestic infection cases. Third, this study was conducted in persons undergoing routine checkups and might not represent seroprevalence in the general population.</p><p>In summary, <italic>R. typhi</italic> seroprevalence was higher than that of <italic>O. tsutsugamushi</italic> in rickettsia-endemic areas of Japan, indicating that MT is a neglected and underrecognized condition. This study highlights the need to include MT in the differential diagnosis when examining patients with nonspecific infectious symptoms who are residing in rickettsia-endemic areas. Clinicians should consider comprehensive examinations for rickettsial infections, including MT testing, especially in those with a history of residence in sparsely populated areas or exposure to bushes.</p></sec><sec sec-type="supplementary-material"><supplementary-material id="SD1" position="float" content-type="local-data"><caption><title>Appendix</title><p>Additional information about nonnegligible seroprevalence and predictors of murine typhus, Japan</p></caption><media xlink:href="23-0037-Techapp-s1.pdf" id="d64e916" position="anchor"/></supplementary-material></sec></body><back><ack><title>Acknowledgments</title><p>We thank the staff of the municipal offices in Otaki and Katsuura and Kameda Medical Center for collecting questionnaires and blood samples. We also thank Dr. Fujita, who made great efforts to conduct this research but died before its publication.</p><p>This work was supported by JSPS KAKENHI (grant no. JP 19K23972).</p></ack><fn-group><fn fn-type="other"><p><italic>Suggested citation for this article</italic>: Aita T, Sando E, Katoh S, Hamaguchi S, Fujita H, Kurita N. Nonnegligible seroprevalence and predictors of murine typhus, Japan. Emerg Infect Dis. 2023 Jul [<italic>date cited</italic>]. <ext-link xlink:href="https://doi.org/10.3201/eid2907.230037" ext-link-type="uri">https://doi.org/10.3201/eid2907.230037</ext-link></p></fn></fn-group><bio id="d64e931"><p>Dr. Aita is an internist specializing in general internal medicine and clinical epidemiology. He belongs to the Department of General Internal Medicine, Fukushima Medical University as a teaching/research associate, and conducts research on the epidemiology of diseases, diagnostic accuracy, and infections, such as rickettsioses.</p></bio><ref-list><title>References</title><ref id="R1"><label>1. </label><mixed-citation publication-type="journal"><string-name><surname>Civen</surname>
<given-names>R</given-names></string-name>, <string-name><surname>Ngo</surname>
<given-names>V</given-names></string-name>. <article-title>Murine typhus: an unrecognized suburban vectorborne disease.</article-title>
<source>Clin Infect Dis</source>. <year>2008</year>;<volume>46</volume>:<fpage>913</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1086/527443</pub-id><pub-id pub-id-type="pmid">18260783</pub-id></mixed-citation></ref><ref id="R2"><label>2. </label><mixed-citation publication-type="journal"><string-name><surname>Azad</surname>
<given-names>AF</given-names></string-name>. <article-title>Epidemiology of murine typhus.</article-title>
<source>Annu Rev Entomol</source>. <year>1990</year>;<volume>35</volume>:<fpage>553</fpage>&#x02013;<lpage>69</lpage>. <pub-id pub-id-type="doi">10.1146/annurev.en.35.010190.003005</pub-id><pub-id pub-id-type="pmid">2105686</pub-id></mixed-citation></ref><ref id="R3"><label>3. </label><mixed-citation publication-type="journal"><string-name><surname>Devamani</surname>
<given-names>CS</given-names></string-name>, <string-name><surname>Schmidt</surname>
<given-names>WP</given-names></string-name>, <string-name><surname>Ariyoshi</surname>
<given-names>K</given-names></string-name>, <string-name><surname>Anitha</surname>
<given-names>A</given-names></string-name>, <string-name><surname>Kalaimani</surname>
<given-names>S</given-names></string-name>, <string-name><surname>Prakash</surname>
<given-names>JAJ</given-names></string-name>. <article-title>Risk factors for scrub typhus, murine typhus, and spotted fever seropositivity in urban areas, rural plains, and peri-forest hill villages in South India: a cross-sectional study.</article-title>
<source>Am J Trop Med Hyg</source>. <year>2020</year>;<volume>103</volume>:<fpage>238</fpage>&#x02013;<lpage>48</lpage>. <pub-id pub-id-type="doi">10.4269/ajtmh.19-0642</pub-id><pub-id pub-id-type="pmid">32458785</pub-id></mixed-citation></ref><ref id="R4"><label>4. </label><mixed-citation publication-type="book"><string-name><surname>Tamiya</surname>
<given-names>T</given-names></string-name>. Recent advances in studies of tsutsugamushi disease in Japan. Tokyo: Medical Culture, Inc.; <year>1962</year>. p. 53&#x02013;54.</mixed-citation></ref><ref id="R5"><label>5. </label><mixed-citation publication-type="journal"><string-name><surname>Sakaguchi</surname>
<given-names>S</given-names></string-name>, <string-name><surname>Sato</surname>
<given-names>I</given-names></string-name>, <string-name><surname>Muguruma</surname>
<given-names>H</given-names></string-name>, <string-name><surname>Kawano</surname>
<given-names>H</given-names></string-name>, <string-name><surname>Kusuhara</surname>
<given-names>Y</given-names></string-name>, <string-name><surname>Yano</surname>
<given-names>S</given-names></string-name>, <etal>et al.</etal>
<article-title>Reemerging murine typhus, Japan.</article-title>
<source>Emerg Infect Dis</source>. <year>2004</year>;<volume>10</volume>:<fpage>964</fpage>&#x02013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.3201/eid1005.030697</pub-id><pub-id pub-id-type="pmid">15216852</pub-id></mixed-citation></ref><ref id="R6"><label>6. </label><mixed-citation publication-type="journal"><string-name><surname>Sando</surname>
<given-names>E</given-names></string-name>, <string-name><surname>Suzuki</surname>
<given-names>M</given-names></string-name>, <string-name><surname>Katoh</surname>
<given-names>S</given-names></string-name>, <string-name><surname>Fujita</surname>
<given-names>H</given-names></string-name>, <string-name><surname>Taira</surname>
<given-names>M</given-names></string-name>, <string-name><surname>Yaegashi</surname>
<given-names>M</given-names></string-name>, <etal>et al.</etal>
<article-title>Distinguishing Japanese spotted fever and scrub typhus.</article-title>
<source>Emerg Infect Dis</source>. <year>2018</year>;<volume>24</volume>:<fpage>1633</fpage>&#x02013;<lpage>41</lpage>. <pub-id pub-id-type="doi">10.3201/eid2409.171436</pub-id><pub-id pub-id-type="pmid">30124190</pub-id></mixed-citation></ref><ref id="R7"><label>7. </label><mixed-citation publication-type="journal"><string-name><surname>Uchiyama</surname>
<given-names>T</given-names></string-name>, <string-name><surname>Zhao</surname>
<given-names>L</given-names></string-name>, <string-name><surname>Yan</surname>
<given-names>Y</given-names></string-name>, <string-name><surname>Uchida</surname>
<given-names>T</given-names></string-name>. <article-title>Cross-reactivity of <italic>Rickettsia japonica</italic> and <italic>Rickettsia typhi</italic> demonstrated by immunofluorescence and Western immunoblotting.</article-title>
<source>Microbiol Immunol</source>. <year>1995</year>;<volume>39</volume>:<fpage>951</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1111/j.1348-0421.1995.tb03298.x</pub-id><pub-id pub-id-type="pmid">8789054</pub-id></mixed-citation></ref><ref id="R8"><label>8. </label><mixed-citation publication-type="journal"><string-name><surname>Pembury Smith</surname>
<given-names>MQR</given-names></string-name>, <string-name><surname>Ruxton</surname>
<given-names>GD</given-names></string-name>. <article-title>Effective use of the McNemar test.</article-title>
<source>Behav Ecol Sociobiol</source>. <year>2020</year>;<volume>74</volume>:<fpage>133</fpage>. <pub-id pub-id-type="doi">10.1007/s00265-020-02916-y</pub-id></mixed-citation></ref><ref id="R9"><label>9. </label><mixed-citation publication-type="journal"><string-name><surname>Stewart</surname>
<given-names>AG</given-names></string-name>, <string-name><surname>Stewart</surname>
<given-names>AGA</given-names></string-name>. <article-title>An update on the laboratory diagnosis of rickettsia spp. infection.</article-title>
<source>Pathogens</source>. <year>2021</year>;<volume>10</volume>:<fpage>1319</fpage>. <pub-id pub-id-type="doi">10.3390/pathogens10101319</pub-id><pub-id pub-id-type="pmid">34684267</pub-id></mixed-citation></ref><ref id="R10"><label>10. </label><mixed-citation publication-type="journal"><string-name><surname>Ruiz</surname>
<given-names>K</given-names></string-name>, <string-name><surname>Valcin</surname>
<given-names>R</given-names></string-name>, <string-name><surname>Keiser</surname>
<given-names>P</given-names></string-name>, <string-name><surname>Blanton</surname>
<given-names>LS</given-names></string-name>. <article-title>Rise in murine typhus in Galveston County, Texas, USA, 2018.</article-title>
<source>Emerg Infect Dis</source>. <year>2020</year>;<volume>26</volume>:<fpage>1044</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.3201/eid2605.191505</pub-id><pub-id pub-id-type="pmid">32310080</pub-id></mixed-citation></ref><ref id="R11"><label>11. </label><mixed-citation publication-type="journal"><string-name><surname>Labropoulou</surname>
<given-names>S</given-names></string-name>, <string-name><surname>Charvalos</surname>
<given-names>E</given-names></string-name>, <string-name><surname>Chatzipanagiotou</surname>
<given-names>S</given-names></string-name>, <string-name><surname>Ioannidis</surname>
<given-names>A</given-names></string-name>, <string-name><surname>Sylignakis</surname>
<given-names>P</given-names></string-name>, <string-name><surname>&#x003a4;aka</surname>
<given-names>S</given-names></string-name>, <etal>et al.</etal>
<article-title>Sunbathing, a possible risk factor of murine typhus infection in Greece.</article-title>
<source>PLoS Negl Trop Dis</source>. <year>2021</year>;<volume>15</volume>:<elocation-id>e0009186</elocation-id>. <pub-id pub-id-type="doi">10.1371/journal.pntd.0009186</pub-id><pub-id pub-id-type="pmid">33711035</pub-id></mixed-citation></ref><ref id="R12"><label>12. </label><mixed-citation publication-type="journal"><string-name><surname>Rodr&#x000ed;guez-Alonso</surname>
<given-names>B</given-names></string-name>, <string-name><surname>Almeida</surname>
<given-names>H</given-names></string-name>, <string-name><surname>Alonso-Sard&#x000f3;n</surname>
<given-names>M</given-names></string-name>, <string-name><surname>Velasco-Tirado</surname>
<given-names>V</given-names></string-name>, <string-name><surname>Robaina Bord&#x000f3;n</surname>
<given-names>JM</given-names></string-name>, <string-name><surname>Carranza Rodr&#x000ed;guez</surname>
<given-names>C</given-names></string-name>, <etal>et al.</etal>
<article-title>Murine typhus. How does it affect us in the 21st century? The epidemiology of inpatients in Spain (1997-2015).</article-title>
<source>Int J Infect Dis</source>. <year>2020</year>;<volume>96</volume>:<fpage>165</fpage>&#x02013;<lpage>71</lpage>. <pub-id pub-id-type="doi">10.1016/j.ijid.2020.04.054</pub-id><pub-id pub-id-type="pmid">32353550</pub-id></mixed-citation></ref><ref id="R13"><label>13. </label><mixed-citation publication-type="journal"><string-name><surname>Penicks</surname>
<given-names>A</given-names></string-name>, <string-name><surname>Krueger</surname>
<given-names>L</given-names></string-name>, <string-name><surname>Morgan</surname>
<given-names>T</given-names></string-name>, <string-name><surname>Nguyen</surname>
<given-names>K</given-names></string-name>, <string-name><surname>Campbell</surname>
<given-names>J</given-names></string-name>, <string-name><surname>Fogarty</surname>
<given-names>C</given-names></string-name>, <etal>et al.</etal>
<article-title>Jumping into the future: an analysis of 50 years of flea data from mammalian wildlife collected during three flea-borne rickettsioses surveys in Orange County, 1967&#x02013;2017.</article-title>
<source>Proc Pap Annu Conf Mosq Vector Control Assoc Calif</source>. <year>2019</year>;<volume>87</volume>:<fpage>1</fpage>.</mixed-citation></ref><ref id="R14"><label>14. </label><mixed-citation publication-type="journal"><string-name><surname>Yao</surname>
<given-names>Z</given-names></string-name>, <string-name><surname>Tang</surname>
<given-names>J</given-names></string-name>, <string-name><surname>Zhan</surname>
<given-names>FB</given-names></string-name>. <article-title>Detection of arbitrarily-shaped clusters using a neighbor-expanding approach: a case study on murine typhus in south Texas.</article-title>
<source>Int J Health Geogr</source>. <year>2011</year>;<volume>10</volume>:<fpage>23</fpage>. <pub-id pub-id-type="doi">10.1186/1476-072X-10-23</pub-id><pub-id pub-id-type="pmid">21453514</pub-id></mixed-citation></ref><ref id="R15"><label>15. </label><mixed-citation publication-type="journal"><string-name><surname>Aita</surname>
<given-names>T</given-names></string-name>, <string-name><surname>Sando</surname>
<given-names>E</given-names></string-name>, <string-name><surname>Katoh</surname>
<given-names>S</given-names></string-name>, <string-name><surname>Hamaguchi</surname>
<given-names>S</given-names></string-name>, <string-name><surname>Fujita</surname>
<given-names>H</given-names></string-name>, <string-name><surname>Kurita</surname>
<given-names>N</given-names></string-name>. <article-title>Serological cross-reactivity between spotted fever and typhus groups of rickettsia infection in Japan.</article-title>
<source>Int J Infect Dis</source>. <year>2023</year>;<volume>130</volume>:<fpage>178</fpage>&#x02013;<lpage>81</lpage>. <pub-id pub-id-type="doi">10.1016/j.ijid.2023.03.012</pub-id><pub-id pub-id-type="pmid">36907548</pub-id></mixed-citation></ref></ref-list></back></article>