Serveur d'exploration SRAS

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Evaluation of Border Entry Screening for Infectious Diseases in Humans

Identifieur interne : 001757 ( Pmc/Corpus ); précédent : 001756; suivant : 001758

Evaluation of Border Entry Screening for Infectious Diseases in Humans

Auteurs : Linda A. Selvey ; Catarina Antão ; Robert Hall

Source :

RBID : PMC:4313627

Abstract

Outbreak-associated communications for travelers and clinicians may be a more effective approach to the international control of communicable diseases.


Url:
DOI: 10.3201/eid2102.131610
PubMed: 25625224
PubMed Central: 4313627

Links to Exploration step

PMC:4313627

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Evaluation of Border Entry Screening for Infectious Diseases in Humans</title>
<author>
<name sortKey="Selvey, Linda A" sort="Selvey, Linda A" uniqKey="Selvey L" first="Linda A." last="Selvey">Linda A. Selvey</name>
</author>
<author>
<name sortKey="Antao, Catarina" sort="Antao, Catarina" uniqKey="Antao C" first="Catarina" last="Antão">Catarina Antão</name>
</author>
<author>
<name sortKey="Hall, Robert" sort="Hall, Robert" uniqKey="Hall R" first="Robert" last="Hall">Robert Hall</name>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">25625224</idno>
<idno type="pmc">4313627</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4313627</idno>
<idno type="RBID">PMC:4313627</idno>
<idno type="doi">10.3201/eid2102.131610</idno>
<date when="2015">2015</date>
<idno type="wicri:Area/Pmc/Corpus">001757</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001757</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">Evaluation of Border Entry Screening for Infectious Diseases in Humans</title>
<author>
<name sortKey="Selvey, Linda A" sort="Selvey, Linda A" uniqKey="Selvey L" first="Linda A." last="Selvey">Linda A. Selvey</name>
</author>
<author>
<name sortKey="Antao, Catarina" sort="Antao, Catarina" uniqKey="Antao C" first="Catarina" last="Antão">Catarina Antão</name>
</author>
<author>
<name sortKey="Hall, Robert" sort="Hall, Robert" uniqKey="Hall R" first="Robert" last="Hall">Robert Hall</name>
</author>
</analytic>
<series>
<title level="j">Emerging Infectious Diseases</title>
<idno type="ISSN">1080-6040</idno>
<idno type="eISSN">1080-6059</idno>
<imprint>
<date when="2015">2015</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>Outbreak-associated communications for travelers and clinicians may be a more effective approach to the international control of communicable diseases.</p>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="review-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Emerg Infect Dis</journal-id>
<journal-id journal-id-type="iso-abbrev">Emerging 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">25625224</article-id>
<article-id pub-id-type="pmc">4313627</article-id>
<article-id pub-id-type="publisher-id">13-1610</article-id>
<article-id pub-id-type="doi">10.3201/eid2102.131610</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Perspective</subject>
</subj-group>
<subj-group subj-group-type="article-type">
<subject>Perspective</subject>
</subj-group>
<subj-group subj-group-type="TOC-title">
<subject>Evaluation of Border Entry Screening for Infectious Diseases in Humans</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Evaluation of Border Entry Screening for Infectious Diseases in Humans</article-title>
<alt-title alt-title-type="running-head">Border Entry Screening for Infectious Diseases</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Selvey</surname>
<given-names>Linda A.</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Antão</surname>
<given-names>Catarina</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hall</surname>
<given-names>Robert</given-names>
</name>
</contrib>
<aff id="aff1">Curtin University, Perth, Western Australia, Australia (L.A. Selvey, C. Antão);</aff>
<aff id="aff2">Monash University, Melbourne, Victoria, Australia (R. Hall)</aff>
</contrib-group>
<author-notes>
<corresp id="cor1">Address for correspondence: Linda A. Selvey, Curtin University, GPO Box U1987, Perth, Western Australia, 6845, Australia; email:
<email xlink:href="linda.selvey@curtin.edu.au">linda.selvey@curtin.edu.au</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>2</month>
<year>2015</year>
</pub-date>
<volume>21</volume>
<issue>2</issue>
<fpage>197</fpage>
<lpage>201</lpage>
<abstract abstract-type="toc">
<p>Outbreak-associated communications for travelers and clinicians may be a more effective approach to the international control of communicable diseases.</p>
</abstract>
<abstract>
<p>In response to the severe acute respiratory syndrome (SARS) pandemic of 2003 and the influenza pandemic of 2009, many countries instituted border measures as a means of stopping or slowing the spread of disease. The measures, usually consisting of a combination of border entry/exit screening, quarantine, isolation, and communications, were resource intensive, and modeling and observational studies indicate that border screening is not effective at detecting infectious persons. Moreover, border screening has high opportunity costs, financially and in terms of the use of scarce public health staff resources during a time of high need. We discuss the border-screening experiences with SARS and influenza and propose an approach to decision-making for future pandemics. We conclude that outbreak-associated communications for travelers at border entry points, together with effective communication with clinicians and more effective disease control measures in the community, may be a more effective approach to the international control of communicable diseases.</p>
</abstract>
<kwd-group kwd-group-type="author">
<title>Keywords: </title>
<kwd>influenza</kwd>
<kwd>2009 influenza pandemic</kwd>
<kwd>influenza A(H1N1)pdm09</kwd>
<kwd>humans</kwd>
<kwd>SARS virus</kwd>
<kwd>severe acute respiratory syndrome</kwd>
<kwd>quarantine</kwd>
<kwd>patient isolation</kwd>
<kwd>border crossing</kwd>
<kwd>border entry</kwd>
<kwd>mass screening</kwd>
<kwd>pandemic</kwd>
<kwd>disease transmission</kwd>
<kwd>infectious</kwd>
<kwd>communicable diseases</kwd>
<kwd>disease control strategies</kwd>
<kwd>viruses</kwd>
<kwd>health communication</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<p>Many countries instituted border screening in response to the severe acute respiratory syndrome (SARS) pandemic of 2003 and the influenza A(H1N1)pdm09 virus pandemic of 2009, and although not formally evaluated, the experiences of several countries have been documented (
<xref rid="R1" ref-type="bibr">
<italic>1</italic>
</xref>
<xref rid="R11" ref-type="bibr">
<italic>11</italic>
</xref>
). Given the recent emergence of the influenza A(H7N9) virus in many parts of China (
<xref rid="R12" ref-type="bibr">
<italic>12</italic>
</xref>
), Middle East respiratory syndrome coronavirus in Saudi Arabia (
<xref rid="R13" ref-type="bibr">
<italic>13</italic>
</xref>
), and the current, most widespread Ebola outbreak in Africa (
<xref rid="R14" ref-type="bibr">
<italic>14</italic>
</xref>
), it seems timely to consider the costs and the effectiveness of border screening, as shown by recent experiences. Herein, we discuss the use of border-screening measures instituted during the 2003 SARS pandemic and the 2009 influenza pandemic.</p>
<p>Border screening, together with isolation of persons identified with suspected cases of disease and quarantine of their contacts, is implemented to delay or prevent the entry of infected persons to a country/geographic area or to prevent the global spread of a disease from a source country. The intent of border screening is to detect possibly infectious persons at the border, either on entry to or exit from a country, so that they can be placed in isolation or prevented from traveling and spreading the disease elsewhere; however, this strategy is useful only if the intended goal is successfully achieved. Other potential benefits of border screening relate to increasing public awareness about and confidence in protection from the disease in question, but the scope of this article does not allow for a discussion of these benefits.</p>
<p>During the 2009 influenza A(H1N1)pdm09 virus pandemic, the World Health Organization advised persons who were ill with influenza to delay travel (
<xref rid="R15" ref-type="bibr">
<italic>15</italic>
</xref>
). Early during the SARS pandemic and in August 2014 during the Ebola virus epidemic, the World Health Organization recommended border exit screening of travelers from affected countries (
<xref rid="R16" ref-type="bibr">
<italic>16</italic>
</xref>
,
<xref rid="R17" ref-type="bibr">
<italic>17</italic>
</xref>
). Border screening can be undertaken through self-identification by means of health declaration cards, airline/transit agency notification to health authorities of sick passengers, visual inspection of travelers, and/or fever screening of travelers implemented through the use of infrared thermal image scanners (ITISs). Three key questions are the following: How effective have these measures been at detecting ill travelers? Are there situations in which border screening is likely to be effective? If border screening is not effective, are there any other measures that could be implemented to prevent the spread of disease beyond the source country? To explore these questions, we examined border-screening experiences during the influenza A(H1N1)pdm09 virus pandemic and the SARS pandemic. Questions relating to the effectiveness of border screening are relevant regardless of the situation in which they are applied, including limited screening from one part of the world or screening on isolated island countries, because the experiences relate to the effectiveness of the measure itself in detecting cases at the border.</p>
<sec>
<title>Border Screening and the Influenza A(H1N1)pdm09 Virus Pandemic</title>
<p>Because of a short incubation period and consequent short serial interval (i.e., time between the onset of the first case and the onset of subsequent case[s]), influenza virus causes explosive outbreaks despite its relatively low infectivity. Influenza A(H1N1)pdm09 virus, which spread rapidly throughout the world in 2009, was most likely established in Australia (
<xref rid="R18" ref-type="bibr">
<italic>18</italic>
</xref>
) and Japan (
<xref rid="R19" ref-type="bibr">
<italic>19</italic>
</xref>
) before border screening was initiated in those countries. Border screening to detect influenza-infected travelers is likely to be unsuccessful because persons with asymptomatic cases can be infectious, and fever is not a consistent symptom of influenza (
<xref rid="R20" ref-type="bibr">
<italic>20</italic>
</xref>
). This means that screening sensitivity is low and a substantial proportion of infectious persons will not be detected at the border, and those that are detected may well have transmitted the virus to other persons before being isolated. This was the experience of several countries during the influenza A(H1N1)pdm09 virus pandemic. For example, in Singapore, of the first 116 influenza A(H1N1)pdm09 virus–infected persons identified with a history of recent international travel, only 15 (12.9%) were identified through screening at the airport (
<xref rid="R2" ref-type="bibr">
<italic>2</italic>
</xref>
). In Japan, intensive border screening was in place at the main international airport during April 28–June18, 2009. Of 151 influenza cases that might have been acquired during travel overseas, only 10 (6.6%) were detected as a result of border screening in Japan (
<xref rid="R4" ref-type="bibr">
<italic>4</italic>
</xref>
). During the same period in New South Wales, Australia, an estimated 6.7% (3/45) of imported cases were detected at the border (
<xref rid="R9" ref-type="bibr">
<italic>9</italic>
</xref>
), and in Auckland, New Zealand, 5.8% (4/69) of the cases were detected at the airport (
<xref rid="R10" ref-type="bibr">
<italic>10</italic>
</xref>
). Singapore, Japan, and Australia, but not New Zealand, used ITISs to screen for fevers at their borders, even though the sensitivity of this screening was similarly low at the sites.</p>
<p>Before the influenza A(H1N1)pdm09 virus pandemic, a modeling study suggested that the use of thermal scanners at airports/entry points to screen incoming passengers or at exit points from countries where influenza virus is circulating could reduce the number of cases that would otherwise occur during a pandemic (
<xref rid="R21" ref-type="bibr">
<italic>21</italic>
</xref>
). However, the study assumed a 50% detection rate for all incoming infected persons, including those with asymptomatic cases and those incubating the virus (
<xref rid="R21" ref-type="bibr">
<italic>21</italic>
</xref>
). In practice, detection was substantially lower than that.</p>
<p>ITISs were used in many countries to detect febrile passengers. A review of hospital-based studies examining the efficacy of ITISs in detecting fever found that the sensitivity of fever detection ranged from 4% to 89.6%, and the positive predictive value with a 1% prevalence of fever ranged from 3.5% to 65.4% (
<xref rid="R22" ref-type="bibr">
<italic>22</italic>
</xref>
). A more recent study involving airline travelers estimated a positive predictive value of ITIS for fever detection of 0.9%–4.1% for detecting fever of any cause and a positive predictive value of fever for influenza of 2.0%–2.8% for detecting influenza-associated fever (
<xref rid="R3" ref-type="bibr">
<italic>3</italic>
</xref>
). Therefore, many persons with possible fever would have to be identified before a case of influenza was detected, and screening for fever is unlikely to be sensitive enough to detect sufficient numbers of influenza cases to prevent or slow the importation of a pandemic strain.</p>
<p>Several other models have assessed the role of travel restrictions on the international spread of influenza (
<xref rid="R23" ref-type="bibr">
<italic>23</italic>
</xref>
<xref rid="R25" ref-type="bibr">
<italic>25</italic>
</xref>
). These models concluded that unless travel restrictions prevented >99% of travel, they would, at best, delay the introduction of pandemic influenza by 2–3 weeks, and because of the explosive nature of the epidemic, would have no overall effect on the total number of cases (
<xref rid="R23" ref-type="bibr">
<italic>23</italic>
</xref>
<xref rid="R25" ref-type="bibr">
<italic>25</italic>
</xref>
). The results are effectively the same whether travel restrictions are used (as in these models) or screening and isolation/quarantine are used to limit the movement of possibly infectious persons. However, the conclusion from these models (i.e., that allowing only a small number of cases to enter a country would result in an epidemic of the same size as if travel restrictions were not in place) is applicable to screening. It is probable that entry screening with a low rate of detection of incoming cases would also be unlikely to significantly delay the commencement of an epidemic or reduce the total number of cases. The models had also not been validated using data from an influenza pandemic (
<xref rid="R26" ref-type="bibr">
<italic>26</italic>
</xref>
). Now that data from the influenza A(H1N1)pdm09 virus pandemic are available, there is an opportunity to validate the models examine the efficacy of border measures.</p>
<p>A substantial amount of resources were expended on border-screening measures in several countries, including Australia. At a time when clinical and public health services were stretched in responding to the pandemic, there were major opportunity costs resulting from the application of border screening (
<xref rid="R4" ref-type="bibr">
<italic>4</italic>
</xref>
,
<xref rid="R9" ref-type="bibr">
<italic>9</italic>
</xref>
). In New South Wales, it was estimated that the cost of staffing airport clinics was $50,000AUD/case detected (
<xref rid="R9" ref-type="bibr">
<italic>9</italic>
</xref>
).</p>
</sec>
<sec>
<title>Border Screening and the SARS Pandemic</title>
<p>More than 10 years have elapsed since the SARS virus emerged in China. From its emergence in November 2002 through July 2003, the virus, which has an incubation period of 2–12 days (mean 4–5), infected >8,000 persons across 30 countries (
<xref rid="R27" ref-type="bibr">
<italic>27</italic>
</xref>
). Despite the lack of antimicrobial drugs or a vaccine, the epidemic was controlled worldwide through a combination of early isolation of case-patients, quarantine of contacts, and strict infection control measures (
<xref rid="R20" ref-type="bibr">
<italic>20</italic>
</xref>
,
<xref rid="R27" ref-type="bibr">
<italic>27</italic>
</xref>
).</p>
<p>Fraser et al. (
<xref rid="R20" ref-type="bibr">
<italic>20</italic>
</xref>
) modeled the control of communicable diseases according to the diseases’ characteristics of infectiousness during the incubation period and in asymptomatic infections. According to this model, public health measures are likely to be effective if persons are infectious only when symptomatic, particularly if infectivity peaks after the onset of symptoms. This means that infected persons are not infectious during the incubation period or during asymptomatic infection. During SARS virus infection, peak viremia (and assumed infectivity) occurs 10 days after symptom onset (
<xref rid="R28" ref-type="bibr">
<italic>28</italic>
</xref>
), and this timing coincides with the severity of symptoms. Persons with asymptomatic infection and persons in the incubation period do not appear to be infectious (
<xref rid="R27" ref-type="bibr">
<italic>27</italic>
</xref>
,
<xref rid="R28" ref-type="bibr">
<italic>28</italic>
</xref>
). Therefore if case-patients are isolated within 2–3 days of infection, transmission will be limited (
<xref rid="R29" ref-type="bibr">
<italic>29</italic>
</xref>
). If contacts are quarantined until beyond the incubation period, this will also limit further transmission. High fever (>38°C) is a common symptom among persons seeking medical care for SARS, but case-patients with fever of <38°C or who were afebrile have been described and have been implicated in the transmission of SARS in a health care setting (
<xref rid="R30" ref-type="bibr">
<italic>30</italic>
</xref>
<xref rid="R33" ref-type="bibr">
<italic>33</italic>
</xref>
). This information suggests that active case finding, isolation, strict infection control, and contact tracing will limit the spread of SARS, and modeling suggests that the combination of these measures would be the most effective control strategy (
<xref rid="R20" ref-type="bibr">
<italic>20</italic>
</xref>
,
<xref rid="R29" ref-type="bibr">
<italic>29</italic>
</xref>
). This information also suggests that border measures that involve effective case detection (i.e., a high proportion of cases detected), especially if associated with opportunities for effective contact tracing (i.e., contacts quarantined within 2 days of case-patient contact), could be useful strategies for delaying the entry of SARS into a country and limiting opportunities for the virus to spread. However, the long SARS incubation period means that cases of imported disease could easily occur through the border entry of infectious, asymptomatic persons.</p>
<p>During the SARS epidemic, several countries instituted border measures, including travel warnings, educational information for travelers, and border screening. In Australia, Canada, and Singapore, a combination of border screening measures was instituted, yet no confirmed SARS cases were detected in any of the 3 countries (
<xref rid="R5" ref-type="bibr">
<italic>5</italic>
</xref>
<xref rid="R7" ref-type="bibr">
<italic>7</italic>
</xref>
). In Australia, where ITISs were not used, 4 suspected/probable SARS cases were detected at the border. Those 4 cases represented 13.8% of the 29 persons detected in Australia with suspected/probable SARS during the screening period who were symptomatic at the time of arrival in the country (
<xref rid="R5" ref-type="bibr">
<italic>5</italic>
</xref>
). Five suspected/probable SARS case-patients arrived in Canada during the screening period; symptoms developed in all 5 patients after arrival, and none of the cases were detected at the border (
<xref rid="R6" ref-type="bibr">
<italic>6</italic>
</xref>
). The authors concluded that because of the very low prevalence of infection among travelers, the positive predictive value of any border screening would be effectively zero (
<xref rid="R6" ref-type="bibr">
<italic>6</italic>
</xref>
).</p>
<p>Two independent modeling studies (
<xref rid="R29" ref-type="bibr">
<italic>29</italic>
</xref>
,
<xref rid="R34" ref-type="bibr">
<italic>34</italic>
</xref>
) modeled the effect of entry screening for SARS on SARS importation and subsequent spread. Glass and Becker (
<xref rid="R29" ref-type="bibr">
<italic>29</italic>
</xref>
) concluded that entry screening for SARS would not reduce the probability of an outbreak of 100 cases by >7%; this conclusion is based on the assumption of screening effectiveness equivalent to that estimated based on the Australian experience. Goubar et al. (
<xref rid="R34" ref-type="bibr">
<italic>34</italic>
</xref>
) also concluded that entry screening would play a minimal role in reducing the number of imported cases, on the basis that border screening would miss infected travelers who are currently incubating the infection (
<xref rid="R34" ref-type="bibr">
<italic>34</italic>
</xref>
). Both studies concluded that SARS transmission within a country could be more effectively limited by gearing-up health services to enable early detection and isolation of case-patients than by investing in border screening (
<xref rid="R29" ref-type="bibr">
<italic>29</italic>
</xref>
,
<xref rid="R34" ref-type="bibr">
<italic>34</italic>
</xref>
).</p>
</sec>
<sec>
<title>To Screen or Not To Screen</title>
<p>We do not recommend border screening at any time during the evolution of an influenza pandemic because the sensitivity and specificity of influenza screening are low, regardless of the method (e.g., self-identification, thermal scanning, and/or visual inspection). Border screening is resource intensive, and there is a significant opportunity cost for other public health measures if border screening is in place. For example, in Australia during May 2009 (i.e., during the influenza pandemic), an average of 28,685 persons arrived at 8 airports via international air flights (
<xref rid="R1" ref-type="bibr">
<italic>1</italic>
</xref>
). Entry screening was in place at the time, and each screening point with an ITIS required 1–2 operators at all times when flights were arriving. Trained nurses were required to be present at each airport at all times when there were incoming flights to provide follow-up for any passengers identified through ITIS screening or who self-identified as being unwell. An additional person was employed at each airport at all times when flights were arriving to assist with administrative activities. During April 28, 2009–June 1, 2009, a total of 15,457 (≈1.5%) airline travelers arriving at airports across Australia were identified as being unwell. Most (84%) of these persons self-identified as being unwell on health declaration cards; only 0.5% were identified by the use of an ITIS (
<xref rid="R1" ref-type="bibr">
<italic>1</italic>
</xref>
). Of these 15,457 persons, only 154 were subsequently treated as if they were infected with the pandemic influenza virus.</p>
<p>Influenza outbreaks are difficult to control without the use of vaccines and antiviral drugs. The public health response should focus on early identification and treatment of cases at risk of becoming severe; social-distancing measures applied at the community level; infection control measures; vaccination (when a vaccine becomes available); and in some cases, antiviral prophylaxis. Focusing on these measures instead of border screening will be more fruitful.</p>
<p>Compared with influenza, SARS is more amenable to border screening because fever is a more consistent symptom and infected persons are not infectious when asymptomatic or during the incubation period. However, persons who are incubating the SARS virus will not be detected by screening, and, given the low prevalence of infection even in source countries, the positive predictive value of screening will be very low. Therefore, we also do not recommend border screening for SARS. SARS is, however, amenable to control through the use of a combination of measures: early isolation of confirmed case-patients, quarantine of case-patient contacts, and strict infection control (
<xref rid="R20" ref-type="bibr">
<italic>20</italic>
</xref>
,
<xref rid="R27" ref-type="bibr">
<italic>27</italic>
</xref>
). Measures that will enable the early detection and isolation of case-patients and quarantine of contacts should be the focus of resource allocation.</p>
</sec>
<sec>
<title>Communication as a Border Measure</title>
<p>Communication with incoming travelers was a key component of border activity during the SARS and influenza A(H1N1)pdm09 virus pandemics and during other disease outbreaks (
<xref rid="R8" ref-type="bibr">
<italic>8</italic>
</xref>
,
<xref rid="R35" ref-type="bibr">
<italic>35</italic>
</xref>
,
<xref rid="R36" ref-type="bibr">
<italic>36</italic>
</xref>
). Communication can take many forms, including informational videos, posters, signs, in-flight announcements, flyers, and health alert notices (HANs) (
<xref rid="R36" ref-type="bibr">
<italic>36</italic>
</xref>
). During the 2009 influenza pandemic, 44% and 84% of travelers identified as unwell on arrival in Singapore (
<xref rid="R2" ref-type="bibr">
<italic>2</italic>
</xref>
) and Australia (
<xref rid="R1" ref-type="bibr">
<italic>1</italic>
</xref>
), respectively, self-identified as being ill; this finding suggests that communication to incoming travelers can be a useful mechanism to encourage self-reporting. However, the evidence of the effectiveness of communication measures at borders is limited (
<xref rid="R6" ref-type="bibr">
<italic>6</italic>
</xref>
,
<xref rid="R36" ref-type="bibr">
<italic>36</italic>
</xref>
). Travel HANS (T-HANs) have been used in the United States by the Centers for Disease Control and Prevention (Atlanta, GA) since the 1970s as a communication tool directed to incoming travelers. T-HANs provide travelers with information about a current disease outbreak, symptoms of the disease, and advice about seeking medical care should symptoms occur. T-HANs also include clinical guidance and resources for physicians. Selent et al. (
<xref rid="R35" ref-type="bibr">
<italic>35</italic>
</xref>
) evaluated the effectiveness of T-HANs in encouraging the self-identification and health care–seeking behavior of incoming travelers from Haiti during the cholera epidemic in that country in 2010. The evaluation suggested that the T-HANs provided a small positive influence on health care–seeking behavior among incoming travelers (
<xref rid="R35" ref-type="bibr">
<italic>35</italic>
</xref>
). The use of current communication technologies (e.g., the Internet or short text messages to mobile phones) could also be investigated. SMS (short message service) messages, for example, have been used successfully in other areas of public health (
<xref rid="R37" ref-type="bibr">
<italic>37</italic>
</xref>
).</p>
<p>The use of T-HANs and other communication methods is a potentially worthwhile border measure that could assist with the early identification and appropriate management of incoming passengers with a disease of interest. Such measures need to be accompanied by the provision of appropriate health care for travelers who are deemed ill, and must be easily understandable. As with any health communication endeavor, effective communication requires multiple modes of communication and tailored messages (
<xref rid="R38" ref-type="bibr">
<italic>38</italic>
</xref>
).</p>
<p>Although the provision of consistent and repeated early warnings and information about infectious disease outbreaks to local clinicians is not a border measure, it can be highly effective in supporting the rapid recognition and isolation of possibly infectious incoming travelers. This fact is exemplified by the experience of SARS in Canada, where alert clinicians in Vancouver, British Columbia, isolated a patient with SARS within 15 minutes of his/her arrival at the clinic and used appropriate respiratory protection, but clinicians in Toronto, Ontario, did not quickly isolate a patient with SARS or use adequate respiratory protection when treating the patient. Both case-patients sought care at a hospital on the same day during a time when significant SARS transmission was ongoing in Ontario but not in Vancouver. Subsequent investigation identified well-communicated and repeated warnings about SARS to local clinicians as being an important factor in limiting further spread of SARS in Vancouver (
<xref rid="R39" ref-type="bibr">
<italic>39</italic>
</xref>
).</p>
</sec>
<sec sec-type="conclusions">
<title>Conclusions</title>
<p>Historically, most attempts at border screening have been ineffectual, as demonstrated by the pandemic spread of SARS and influenza A(H1N1)pdm09 to many countries despite the use of border screening. Modeling and observational studies have indicated that border screening is likely to be unsuccessful in preventing or delaying the entry of such diseases into a country. Border screening generally has high opportunity costs, both financially and in terms of the use of scarce public health staff resources at a time of high need. We conclude that border screening should not be used. Instead, the less costly measure of providing information to arriving travelers is recommended, together with effective communication with local clinicians and more effective disease control measures in the community.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="citation">
<p>
<italic>Suggested citation for this article</italic>
: Selvey LA, Antão C, Hall R. Evaluation of border entry screening for infectious diseases in humans. Emerg Infect Dis. 2015 Feb [
<italic>date cited</italic>
].
<ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.3201/eid2102.131610">http://dx.doi.org/10.3201/eid2102.131610</ext-link>
</p>
</fn>
</fn-group>
<bio id="d35e467">
<p>Dr Selvey is Director of Epidemiology and Biostatistics at the Curtin University School of Public Health. Her research interests include the epidemiology and control of communicable diseases.</p>
</bio>
<bio id="d35e470">
<p>This work was funded by the Australian Government Department of Health</p>
</bio>
<bio id="d35e473">
<p>The views expressed in this paper are not necessarily shared by the Australian Government Department of Health.</p>
</bio>
<ref-list>
<title>References</title>
<ref id="R1">
<label>1. </label>
<mixed-citation publication-type="webpage">
<collab>Department of Health and Ageing</collab>
. Australia's health sector response to pandemic (H1N1)
<year>2009</year>
: lessons identified [cited 2013 Sep 1].
<ext-link ext-link-type="uri" xlink:href="http://www.flupandemic.gov.au/internet/panflu/publishing.nsf/Content/review-2011/$File/lessons%20identified-oct11.pdf">http://www.flupandemic.gov.au/internet/panflu/publishing.nsf/Content/review-2011/$File/lessons%20identified-oct11.pdf</ext-link>
</mixed-citation>
</ref>
<ref id="R2">
<label>2. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Mukherjee</surname>
<given-names>P</given-names>
</string-name>
,
<string-name>
<surname>Lim</surname>
<given-names>PL</given-names>
</string-name>
,
<string-name>
<surname>Chow</surname>
<given-names>A</given-names>
</string-name>
,
<string-name>
<surname>Barkham</surname>
<given-names>T</given-names>
</string-name>
,
<string-name>
<surname>Seow</surname>
<given-names>E</given-names>
</string-name>
,
<string-name>
<surname>Win</surname>
<given-names>MK</given-names>
</string-name>
,
<etal></etal>
<article-title>Epidemiology of travel-associated pandemic (H1N1) 2009 infection in 116 patients, Singapore.</article-title>
<source>Emerg Infect Dis</source>
.
<year>2010</year>
;
<volume>16</volume>
:
<fpage>21</fpage>
<lpage>6</lpage>
.
<pub-id pub-id-type="doi">10.3201/eid1512.091376</pub-id>
<pub-id pub-id-type="pmid">20031038</pub-id>
</mixed-citation>
</ref>
<ref id="R3">
<label>3. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Priest</surname>
<given-names>PC</given-names>
</string-name>
,
<string-name>
<surname>Duncan</surname>
<given-names>AR</given-names>
</string-name>
,
<string-name>
<surname>Jennings</surname>
<given-names>LC</given-names>
</string-name>
,
<string-name>
<surname>Baker</surname>
<given-names>MG</given-names>
</string-name>
.
<article-title>Thermal image scanning for influenza border screening: results of an airport screening study.</article-title>
<source>PLoS ONE</source>
.
<year>2011</year>
;
<volume>6</volume>
:
<fpage>e14490</fpage>
.
<pub-id pub-id-type="doi">10.1371/journal.pone.0014490</pub-id>
<pub-id pub-id-type="pmid">21245928</pub-id>
</mixed-citation>
</ref>
<ref id="R4">
<label>4. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Sakaguchi</surname>
<given-names>H</given-names>
</string-name>
,
<string-name>
<surname>Tsunoda</surname>
<given-names>M</given-names>
</string-name>
,
<string-name>
<surname>Wada</surname>
<given-names>K</given-names>
</string-name>
,
<string-name>
<surname>Ohta</surname>
<given-names>H</given-names>
</string-name>
,
<string-name>
<surname>Kawashima</surname>
<given-names>M</given-names>
</string-name>
,
<string-name>
<surname>Yoshino</surname>
<given-names>Y</given-names>
</string-name>
,
<etal></etal>
<article-title>Assessment of border control measures and community containment measures used in Japan during the early stages of pandemic (H1N1) 2009.</article-title>
<source>PLoS ONE</source>
.
<year>2012</year>
;
<volume>7</volume>
:
<fpage>e31289</fpage>
.
<pub-id pub-id-type="doi">10.1371/journal.pone.0031289</pub-id>
<pub-id pub-id-type="pmid">22355354</pub-id>
</mixed-citation>
</ref>
<ref id="R5">
<label>5. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Samaan</surname>
<given-names>G</given-names>
</string-name>
,
<string-name>
<surname>Patel</surname>
<given-names>M</given-names>
</string-name>
,
<string-name>
<surname>Spencer</surname>
<given-names>J</given-names>
</string-name>
,
<string-name>
<surname>Roberts</surname>
<given-names>L</given-names>
</string-name>
.
<article-title>Border screening for SARS in Australia: what has been learnt?</article-title>
<source>Med J Aust</source>
.
<year>2004</year>
;
<volume>180</volume>
:
<fpage>220</fpage>
<lpage>3</lpage>
.
<pub-id pub-id-type="pmid">14984341</pub-id>
</mixed-citation>
</ref>
<ref id="R6">
<label>6. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>St John</surname>
<given-names>RK</given-names>
</string-name>
,
<string-name>
<surname>King</surname>
<given-names>A</given-names>
</string-name>
,
<string-name>
<surname>de Jong</surname>
<given-names>D</given-names>
</string-name>
,
<string-name>
<surname>Bodie-Collins</surname>
<given-names>M</given-names>
</string-name>
,
<string-name>
<surname>Squires</surname>
<given-names>SG</given-names>
</string-name>
,
<string-name>
<surname>Tam</surname>
<given-names>TW</given-names>
</string-name>
.
<article-title>Border screening for SARS.</article-title>
<source>Emerg Infect Dis</source>
.
<year>2005</year>
;
<volume>11</volume>
:
<fpage>6</fpage>
<lpage>10</lpage>
.
<pub-id pub-id-type="doi">10.3201/eid1101.040835</pub-id>
<pub-id pub-id-type="pmid">15705315</pub-id>
</mixed-citation>
</ref>
<ref id="R7">
<label>7. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Wilder-Smith</surname>
<given-names>A</given-names>
</string-name>
,
<string-name>
<surname>Goh Kee</surname>
<given-names>T</given-names>
</string-name>
,
<string-name>
<surname>Paton</surname>
<given-names>NI</given-names>
</string-name>
.
<article-title>Experience of severe acute respiratory syndrome in Singapore: importation of cases, and defense strategies at the airport.</article-title>
<source>J Travel Med</source>
.
<year>2003</year>
;
<volume>10</volume>
:
<fpage>259</fpage>
<lpage>62</lpage>
.
<pub-id pub-id-type="doi">10.2310/7060.2003.2676</pub-id>
<pub-id pub-id-type="pmid">14531977</pub-id>
</mixed-citation>
</ref>
<ref id="R8">
<label>8. </label>
<mixed-citation publication-type="journal">
<collab>World Health Organization</collab>
.
<article-title>Public health measures taken at international borders during early stages of pandemic influenza A (H1N1) 2009: preliminary results.</article-title>
<source>Wkly Epidemiol Rec</source>
.
<year>2010</year>
;
<volume>85</volume>
:
<fpage>186</fpage>
<lpage>95</lpage>
.
<pub-id pub-id-type="pmid">20514732</pub-id>
</mixed-citation>
</ref>
<ref id="R9">
<label>9. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Gunaratnam</surname>
<given-names>PJ</given-names>
</string-name>
,
<string-name>
<surname>Tobin</surname>
<given-names>S</given-names>
</string-name>
,
<string-name>
<surname>Seale</surname>
<given-names>H</given-names>
</string-name>
,
<string-name>
<surname>Marich</surname>
<given-names>A</given-names>
</string-name>
,
<string-name>
<surname>McAnulty</surname>
<given-names>J</given-names>
</string-name>
.
<article-title>Airport arrivals screening during pandemic (H1N1) 2009 influenza in New South Wales, Australia.</article-title>
<source>Med J Aust</source>
.
<year>2014</year>
;
<volume>200</volume>
:
<fpage>290</fpage>
<lpage>2</lpage>
.
<pub-id pub-id-type="doi">10.5694/mja13.10832</pub-id>
<pub-id pub-id-type="pmid">24641156</pub-id>
</mixed-citation>
</ref>
<ref id="R10">
<label>10. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Hale</surname>
<given-names>MJ</given-names>
</string-name>
,
<string-name>
<surname>Hoskins</surname>
<given-names>RS</given-names>
</string-name>
,
<string-name>
<surname>Baker</surname>
<given-names>MG</given-names>
</string-name>
.
<article-title>Screening for influenza A(H1N1)pdm09, Auckland International Airport, New Zealand.</article-title>
<source>Emerg Infect Dis</source>
.
<year>2012</year>
;
<volume>18</volume>
:
<fpage>866</fpage>
<lpage>8</lpage>
.
<pub-id pub-id-type="doi">10.3201/eid1805.111080</pub-id>
<pub-id pub-id-type="pmid">22516105</pub-id>
</mixed-citation>
</ref>
<ref id="R11">
<label>11. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Bell</surname>
<given-names>DM</given-names>
</string-name>
;
<collab>World Health Organization Working Group on International and Community Transmission of SARS</collab>
.
<article-title>Public health interventions and SARS spread, 2003.</article-title>
<source>Emerg Infect Dis</source>
.
<year>2004</year>
;
<volume>10</volume>
:
<fpage>1900</fpage>
<lpage>6</lpage>
.
<pub-id pub-id-type="doi">10.3201/eid1011.040729</pub-id>
<pub-id pub-id-type="pmid">15550198</pub-id>
</mixed-citation>
</ref>
<ref id="R12">
<label>12. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Xu</surname>
<given-names>C</given-names>
</string-name>
,
<string-name>
<surname>Havers</surname>
<given-names>F</given-names>
</string-name>
,
<string-name>
<surname>Wang</surname>
<given-names>L</given-names>
</string-name>
,
<string-name>
<surname>Chen</surname>
<given-names>T</given-names>
</string-name>
,
<string-name>
<surname>Shi</surname>
<given-names>J</given-names>
</string-name>
,
<string-name>
<surname>Wang</surname>
<given-names>D</given-names>
</string-name>
,
<etal></etal>
<article-title>Monitoring avian influenza A(H7N9) virus through national influenza-like illness surveillance, China.</article-title>
<source>Emerg Infect Dis</source>
.
<year>2013</year>
;
<volume>19</volume>
:
<fpage>1289</fpage>
<lpage>92</lpage>
.
<pub-id pub-id-type="doi">10.3201/eid1907.130662</pub-id>
<pub-id pub-id-type="pmid">23879887</pub-id>
</mixed-citation>
</ref>
<ref id="R13">
<label>13. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Penttinen</surname>
<given-names>PM</given-names>
</string-name>
,
<string-name>
<surname>Kaasik-Aaslav</surname>
<given-names>K</given-names>
</string-name>
,
<string-name>
<surname>Friaux</surname>
<given-names>A</given-names>
</string-name>
,
<string-name>
<surname>Donachie</surname>
<given-names>A</given-names>
</string-name>
,
<string-name>
<surname>Sudre</surname>
<given-names>B</given-names>
</string-name>
,
<string-name>
<surname>Amato-Gauci</surname>
<given-names>AJ</given-names>
</string-name>
,
<etal></etal>
<article-title>Taking stock of the first 133 MERS coronavirus cases globally—is the epidemic changing?</article-title>
<source>Euro Surveill</source>
.
<year>2013</year>
;
<volume>18</volume>
:
<fpage>11</fpage>
<lpage>5</lpage>
.
<pub-id pub-id-type="pmid">24094061</pub-id>
</mixed-citation>
</ref>
<ref id="R14">
<label>14. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Stephenson</surname>
<given-names>J</given-names>
</string-name>
.
<article-title>Largest-ever Ebola outbreak still simmering in West Africa.</article-title>
<source>JAMA</source>
.
<year>2014</year>
;
<volume>312</volume>
:
<fpage>476</fpage>
.
<pub-id pub-id-type="doi">10.1001/jama.2014.9757</pub-id>
<pub-id pub-id-type="pmid">25096676</pub-id>
</mixed-citation>
</ref>
<ref id="R15">
<label>15. </label>
<mixed-citation publication-type="webpage">
<collab>World Health Organization</collab>
. Alert and Response. Influenza A(H1N1)—update 18.
<year>2009</year>
May 6 [cited 29 April 2014].
<ext-link ext-link-type="uri" xlink:href="http://www.who.int/csr/don/2009_05_06d/en">http://www.who.int/csr/don/2009_05_06d/en</ext-link>
</mixed-citation>
</ref>
<ref id="R16">
<label>16. </label>
<mixed-citation publication-type="webpage">
<collab>World Health Organization</collab>
. Global Alert and Response. Update 11—WHO recommends new measures to prevent travel-related spread of SARS.
<year>2003</year>
Mar 27 [cited 29 April 2014].
<ext-link ext-link-type="uri" xlink:href="http://www.who.int/csr/sars/archive/2003_03_27/en/">http://www.who.int/csr/sars/archive/2003_03_27/en/</ext-link>
</mixed-citation>
</ref>
<ref id="R17">
<label>17. </label>
<mixed-citation publication-type="other">
<collab>World Health Organization</collab>
. Ebola response roadmap. Geneva: the Organization
<year>2014</year>
.</mixed-citation>
</ref>
<ref id="R18">
<label>18. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Kelly</surname>
<given-names>HA</given-names>
</string-name>
,
<string-name>
<surname>Priest</surname>
<given-names>PC</given-names>
</string-name>
,
<string-name>
<surname>Mercer</surname>
<given-names>GN</given-names>
</string-name>
,
<string-name>
<surname>Dowse</surname>
<given-names>GK</given-names>
</string-name>
.
<article-title>We should not be complacent about our population-based public health response to the first influenza pandemic of the 21st century.</article-title>
<source>BMC Public Health</source>
.
<year>2011</year>
;
<volume>11</volume>
:
<fpage>78</fpage>
.
<pub-id pub-id-type="doi">10.1186/1471-2458-11-78</pub-id>
<pub-id pub-id-type="pmid">21291568</pub-id>
</mixed-citation>
</ref>
<ref id="R19">
<label>19. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Shimada</surname>
<given-names>T</given-names>
</string-name>
,
<string-name>
<surname>Gu</surname>
<given-names>Y</given-names>
</string-name>
,
<string-name>
<surname>Kamiya</surname>
<given-names>H</given-names>
</string-name>
,
<string-name>
<surname>Komiya</surname>
<given-names>N</given-names>
</string-name>
,
<string-name>
<surname>Odaira</surname>
<given-names>F</given-names>
</string-name>
,
<string-name>
<surname>Sunagawa</surname>
<given-names>T</given-names>
</string-name>
,
<etal></etal>
<article-title>Epidemiology of influenza A(H1N1)v virus infection in Japan, May-June 2009.</article-title>
<source>Euro Surveill</source>
.
<year>2009</year>
;
<volume>14</volume>
:
<fpage>19244</fpage>
.
<pub-id pub-id-type="pmid">19555600</pub-id>
</mixed-citation>
</ref>
<ref id="R20">
<label>20. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Fraser</surname>
<given-names>C</given-names>
</string-name>
,
<string-name>
<surname>Riley</surname>
<given-names>S</given-names>
</string-name>
,
<string-name>
<surname>Anderson</surname>
<given-names>RM</given-names>
</string-name>
,
<string-name>
<surname>Ferguson</surname>
<given-names>NM</given-names>
</string-name>
.
<article-title>Factors that make an infectious disease outbreak controllable.</article-title>
<source>Proc Natl Acad Sci U S A</source>
.
<year>2004</year>
;
<volume>101</volume>
:
<fpage>6146</fpage>
<lpage>51</lpage>
.
<pub-id pub-id-type="doi">10.1073/pnas.0307506101</pub-id>
<pub-id pub-id-type="pmid">15071187</pub-id>
</mixed-citation>
</ref>
<ref id="R21">
<label>21. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Malone</surname>
<given-names>JD</given-names>
</string-name>
,
<string-name>
<surname>Brigantic</surname>
<given-names>R</given-names>
</string-name>
,
<string-name>
<surname>Muller</surname>
<given-names>GA</given-names>
</string-name>
,
<string-name>
<surname>Gadgil</surname>
<given-names>A</given-names>
</string-name>
,
<string-name>
<surname>Delp</surname>
<given-names>W</given-names>
</string-name>
,
<string-name>
<surname>McMahon</surname>
<given-names>BH</given-names>
</string-name>
,
<etal></etal>
<article-title>U.S. airport entry screening in response to pandemic influenza: modeling and analysis.</article-title>
<source>Travel Med Infect Dis</source>
.
<year>2009</year>
;
<volume>7</volume>
:
<fpage>181</fpage>
<lpage>91</lpage>
.
<pub-id pub-id-type="doi">10.1016/j.tmaid.2009.02.006</pub-id>
<pub-id pub-id-type="pmid">19717097</pub-id>
</mixed-citation>
</ref>
<ref id="R22">
<label>22. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Bitar</surname>
<given-names>D</given-names>
</string-name>
,
<string-name>
<surname>Goubar</surname>
<given-names>A</given-names>
</string-name>
,
<string-name>
<surname>Desenclos</surname>
<given-names>JC</given-names>
</string-name>
.
<article-title>International travels and fever screening during epidemics: a literature review on the effectiveness and potential use of non-contact infrared thermometers.</article-title>
<source>Euro Surveill</source>
.
<year>2009</year>
;
<volume>14</volume>
:
<fpage>19115</fpage>
.
<pub-id pub-id-type="pmid">19215720</pub-id>
</mixed-citation>
</ref>
<ref id="R23">
<label>23. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Colizza</surname>
<given-names>V</given-names>
</string-name>
,
<string-name>
<surname>Barrat</surname>
<given-names>A</given-names>
</string-name>
,
<string-name>
<surname>Barthelemy</surname>
<given-names>M</given-names>
</string-name>
,
<string-name>
<surname>Valleron</surname>
<given-names>AJ</given-names>
</string-name>
,
<string-name>
<surname>Vespignani</surname>
<given-names>A</given-names>
</string-name>
.
<article-title>Modeling the worldwide spread of pandemic influenza: baseline case and containment interventions.</article-title>
<source>PLoS Med</source>
.
<year>2007</year>
;
<volume>4</volume>
:
<fpage>e13</fpage>
.
<pub-id pub-id-type="doi">10.1371/journal.pmed.0040013</pub-id>
<pub-id pub-id-type="pmid">17253899</pub-id>
</mixed-citation>
</ref>
<ref id="R24">
<label>24. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Cooper</surname>
<given-names>BS</given-names>
</string-name>
,
<string-name>
<surname>Pitman</surname>
<given-names>RJ</given-names>
</string-name>
,
<string-name>
<surname>Edmunds</surname>
<given-names>WJ</given-names>
</string-name>
,
<string-name>
<surname>Gay</surname>
<given-names>NJ</given-names>
</string-name>
.
<article-title>Delaying the international spread of pandemic influenza.</article-title>
<source>PLoS Med</source>
.
<year>2006</year>
;
<volume>3</volume>
:
<fpage>e212</fpage>
.
<pub-id pub-id-type="doi">10.1371/journal.pmed.0030212</pub-id>
<pub-id pub-id-type="pmid">16640458</pub-id>
</mixed-citation>
</ref>
<ref id="R25">
<label>25. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Ferguson</surname>
<given-names>NM</given-names>
</string-name>
,
<string-name>
<surname>Cummings</surname>
<given-names>DAT</given-names>
</string-name>
,
<string-name>
<surname>Fraser</surname>
<given-names>C</given-names>
</string-name>
,
<string-name>
<surname>Cajka</surname>
<given-names>JC</given-names>
</string-name>
,
<string-name>
<surname>Cooley</surname>
<given-names>PC</given-names>
</string-name>
,
<string-name>
<surname>Burke</surname>
<given-names>DS</given-names>
</string-name>
.
<article-title>Strategies for mitigating an influenza pandemic.</article-title>
<source>Nature</source>
.
<year>2006</year>
;
<volume>442</volume>
:
<fpage>448</fpage>
<lpage>52</lpage>
.
<pub-id pub-id-type="doi">10.1038/nature04795</pub-id>
<pub-id pub-id-type="pmid">16642006</pub-id>
</mixed-citation>
</ref>
<ref id="R26">
<label>26. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Carrasco</surname>
<given-names>LR</given-names>
</string-name>
,
<string-name>
<surname>Jit</surname>
<given-names>M</given-names>
</string-name>
,
<string-name>
<surname>Chen</surname>
<given-names>MI</given-names>
</string-name>
,
<string-name>
<surname>Lee</surname>
<given-names>VJ</given-names>
</string-name>
,
<string-name>
<surname>Milne</surname>
<given-names>GJ</given-names>
</string-name>
,
<string-name>
<surname>Cook</surname>
<given-names>AR</given-names>
</string-name>
.
<article-title>Trends in parameterization, economics and host behaviour in influenza pandemic modelling: a review and reporting protocol.</article-title>
<source>Emerg Themes Epidemiol</source>
.
<year>2013</year>
;
<volume>10</volume>
:
<fpage>3</fpage>
.
<pub-id pub-id-type="doi">10.1186/1742-7622-10-3</pub-id>
<pub-id pub-id-type="pmid">23651557</pub-id>
</mixed-citation>
</ref>
<ref id="R27">
<label>27. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Anderson</surname>
<given-names>RM</given-names>
</string-name>
,
<string-name>
<surname>Fraser</surname>
<given-names>C</given-names>
</string-name>
,
<string-name>
<surname>Ghani</surname>
<given-names>AC</given-names>
</string-name>
,
<string-name>
<surname>Donnelly</surname>
<given-names>CA</given-names>
</string-name>
,
<string-name>
<surname>Riley</surname>
<given-names>S</given-names>
</string-name>
,
<string-name>
<surname>Ferguson</surname>
<given-names>NM</given-names>
</string-name>
,
<etal></etal>
<article-title>Epidemiology, transmission dynamics and control of SARS: the 2002–2003 epidemic.</article-title>
<source>Philos Trans R Soc Lond B Biol Sci</source>
.
<year>2004</year>
;
<volume>359</volume>
:
<fpage>1091</fpage>
<lpage>105</lpage>
.
<pub-id pub-id-type="doi">10.1098/rstb.2004.1490</pub-id>
<pub-id pub-id-type="pmid">15306395</pub-id>
</mixed-citation>
</ref>
<ref id="R28">
<label>28. </label>
<mixed-citation publication-type="book">
<string-name>
<surname>Heymann</surname>
<given-names>DL</given-names>
</string-name>
. Control of communicable diseases manual. 19th ed. Washington, DC: American Public Health Association;
<year>2008</year>
.</mixed-citation>
</ref>
<ref id="R29">
<label>29. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Glass</surname>
<given-names>K</given-names>
</string-name>
,
<string-name>
<surname>Becker</surname>
<given-names>NG</given-names>
</string-name>
.
<article-title>Evaluation of measures to reduce international spread of SARS.</article-title>
<source>Epidemiol Infect</source>
.
<year>2006</year>
;
<volume>134</volume>
:
<fpage>1092</fpage>
<lpage>101</lpage>
.
<pub-id pub-id-type="doi">10.1017/S0950268806005863</pub-id>
<pub-id pub-id-type="pmid">16476169</pub-id>
</mixed-citation>
</ref>
<ref id="R30">
<label>30. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Fisher</surname>
<given-names>DA</given-names>
</string-name>
,
<string-name>
<surname>Lim</surname>
<given-names>TK</given-names>
</string-name>
,
<string-name>
<surname>Lim</surname>
<given-names>YT</given-names>
</string-name>
,
<string-name>
<surname>Singh</surname>
<given-names>KS</given-names>
</string-name>
,
<string-name>
<surname>Tambyah</surname>
<given-names>PA</given-names>
</string-name>
.
<article-title>Atypical presentations of SARS.</article-title>
<source>Lancet</source>
.
<year>2003</year>
;
<volume>361</volume>
:
<fpage>1740</fpage>
.
<pub-id pub-id-type="doi">10.1016/S0140-6736(03)13336-3</pub-id>
<pub-id pub-id-type="pmid">12767755</pub-id>
</mixed-citation>
</ref>
<ref id="R31">
<label>31. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Li</surname>
<given-names>G</given-names>
</string-name>
,
<string-name>
<surname>Zhao</surname>
<given-names>Z</given-names>
</string-name>
,
<string-name>
<surname>Chen</surname>
<given-names>L</given-names>
</string-name>
,
<string-name>
<surname>Zhou</surname>
<given-names>Y</given-names>
</string-name>
.
<article-title>Mild severe acute respiratory syndrome.</article-title>
<source>Emerg Infect Dis</source>
.
<year>2003</year>
;
<volume>9</volume>
:
<fpage>1182</fpage>
<lpage>3</lpage>
.
<pub-id pub-id-type="doi">10.3201/eid0909.030461</pub-id>
<pub-id pub-id-type="pmid">14531381</pub-id>
</mixed-citation>
</ref>
<ref id="R32">
<label>32. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Peiris</surname>
<given-names>JSM</given-names>
</string-name>
,
<string-name>
<surname>Yuen</surname>
<given-names>KY</given-names>
</string-name>
,
<string-name>
<surname>Osterhaus</surname>
<given-names>ADME</given-names>
</string-name>
,
<string-name>
<surname>Stöhr</surname>
<given-names>K</given-names>
</string-name>
.
<article-title>The severe acute respiratory syndrome.</article-title>
<source>N Engl J Med</source>
.
<year>2003</year>
;
<volume>349</volume>
:
<fpage>2431</fpage>
<lpage>41</lpage>
.
<pub-id pub-id-type="doi">10.1056/NEJMra032498</pub-id>
<pub-id pub-id-type="pmid">14681510</pub-id>
</mixed-citation>
</ref>
<ref id="R33">
<label>33. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Donnelly</surname>
<given-names>CA</given-names>
</string-name>
,
<string-name>
<surname>Ghani</surname>
<given-names>AC</given-names>
</string-name>
,
<string-name>
<surname>Leung</surname>
<given-names>GM</given-names>
</string-name>
,
<string-name>
<surname>Hedley</surname>
<given-names>AJ</given-names>
</string-name>
,
<string-name>
<surname>Fraser</surname>
<given-names>C</given-names>
</string-name>
,
<string-name>
<surname>Riley</surname>
<given-names>S</given-names>
</string-name>
,
<etal></etal>
<article-title>Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong.</article-title>
<source>Lancet</source>
.
<year>2003</year>
;
<volume>361</volume>
:
<fpage>1761</fpage>
<lpage>6</lpage>
.
<pub-id pub-id-type="doi">10.1016/S0140-6736(03)13410-1</pub-id>
<pub-id pub-id-type="pmid">12781533</pub-id>
</mixed-citation>
</ref>
<ref id="R34">
<label>34. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Goubar</surname>
<given-names>A</given-names>
</string-name>
,
<string-name>
<surname>Bitar</surname>
<given-names>D</given-names>
</string-name>
,
<string-name>
<surname>Cao</surname>
<given-names>WC</given-names>
</string-name>
,
<string-name>
<surname>Feng</surname>
<given-names>D</given-names>
</string-name>
,
<string-name>
<surname>Fang</surname>
<given-names>LQ</given-names>
</string-name>
,
<string-name>
<surname>Desenclos</surname>
<given-names>JC</given-names>
</string-name>
.
<article-title>An approach to estimate the number of SARS cases imported by international air travel.</article-title>
<source>Epidemiol Infect</source>
.
<year>2009</year>
;
<volume>137</volume>
:
<fpage>1019</fpage>
<lpage>31</lpage>
.
<pub-id pub-id-type="doi">10.1017/S0950268808001635</pub-id>
<pub-id pub-id-type="pmid">19079846</pub-id>
</mixed-citation>
</ref>
<ref id="R35">
<label>35. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Selent</surname>
<given-names>MU</given-names>
</string-name>
,
<string-name>
<surname>McWhorter</surname>
<given-names>A</given-names>
</string-name>
,
<string-name>
<surname>De Rochars</surname>
<given-names>VM</given-names>
</string-name>
,
<string-name>
<surname>Myers</surname>
<given-names>R</given-names>
</string-name>
,
<string-name>
<surname>Hunter</surname>
<given-names>DW</given-names>
</string-name>
,
<string-name>
<surname>Brown</surname>
<given-names>CM</given-names>
</string-name>
,
<etal></etal>
<article-title>Travel Health Alert Notices and Haiti cholera outbreak, Florida, USA, 2011.</article-title>
<source>Emerg Infect Dis</source>
.
<year>2011</year>
;
<volume>17</volume>
:
<fpage>2169</fpage>
<lpage>71</lpage>
.
<pub-id pub-id-type="doi">10.3201/eid1711.110721</pub-id>
<pub-id pub-id-type="pmid">22204040</pub-id>
</mixed-citation>
</ref>
<ref id="R36">
<label>36. </label>
<mixed-citation publication-type="journal">
<collab>World Health Organization Writing Group</collab>
.
<article-title>Nonpharmaceutical interventions for pandemic influenza, international measures.</article-title>
<source>Emerg Infect Dis</source>
.
<year>2006</year>
;
<volume>12</volume>
:
<fpage>81</fpage>
<lpage>7</lpage>
.
<pub-id pub-id-type="doi">10.3201/eid1201.051370</pub-id>
<pub-id pub-id-type="pmid">16494722</pub-id>
</mixed-citation>
</ref>
<ref id="R37">
<label>37. </label>
<mixed-citation publication-type="journal">
<string-name>
<surname>Bastawrous</surname>
<given-names>A</given-names>
</string-name>
,
<string-name>
<surname>Armstrong</surname>
<given-names>MJ</given-names>
</string-name>
.
<article-title>Mobile health use in low- and high-income countries: an overview of the peer-reviewed literature.</article-title>
<source>J R Soc Med</source>
.
<year>2013</year>
;
<volume>106</volume>
:
<fpage>130</fpage>
<lpage>42</lpage>
.
<pub-id pub-id-type="doi">10.1177/0141076812472620</pub-id>
<pub-id pub-id-type="pmid">23564897</pub-id>
</mixed-citation>
</ref>
<ref id="R38">
<label>38. </label>
<mixed-citation publication-type="webpage">
<collab>Centers for Disease Control and Prevention</collab>
. Gateway to health communication and social marketing practice [cited 29 April 2013].
<ext-link ext-link-type="uri" xlink:href="http://www.cdc.gov/healthcommunication/">http://www.cdc.gov/healthcommunication/</ext-link>
</mixed-citation>
</ref>
<ref id="R39">
<label>39. </label>
<mixed-citation publication-type="webpage">
<collab>The SARS Commission</collab>
. Volume 2. The spring of fear: final report [cited 2013 Sep 1].
<ext-link ext-link-type="uri" xlink:href="http://www.archives.gov.on.ca/en/e_records/sars/report/v2-pdf/Volume2.pdf">http://www.archives.gov.on.ca/en/e_records/sars/report/v2-pdf/Volume2.pdf</ext-link>
</mixed-citation>
</ref>
</ref-list>
</back>
</pmc>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SrasV1/Data/Pmc/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001757 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd -nk 001757 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    SrasV1
   |flux=    Pmc
   |étape=   Corpus
   |type=    RBID
   |clé=     PMC:4313627
   |texte=   Evaluation of Border Entry Screening for Infectious Diseases in Humans
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/RBID.i   -Sk "pubmed:25625224" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd   \
       | NlmPubMed2Wicri -a SrasV1 

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Tue Apr 28 14:49:16 2020. Site generation: Sat Mar 27 22:06:49 2021