Evaluating Hospital-Based Surveillance for Outbreak Detection in Bangladesh: Analysis of Healthcare Utilization Data.
Identifieur interne : 001225 ( PubMed/Corpus ); précédent : 001224; suivant : 001226Evaluating Hospital-Based Surveillance for Outbreak Detection in Bangladesh: Analysis of Healthcare Utilization Data.
Auteurs : Birgit Nikolay ; Henrik Salje ; Katharine Sturm-Ramirez ; Eduardo Azziz-Baumgartner ; Nusrat Homaira ; Makhdum Ahmed ; A Danielle Iuliano ; Repon C. Paul ; Mahmudur Rahman ; M Jahangir Hossain ; Stephen P. Luby ; Simon Cauchemez ; Emily S. GurleySource :
- PLoS medicine [ 1549-1676 ] ; 2017.
English descriptors
- KwdEn :
- Bangladesh (epidemiology), Central Nervous System Infections (epidemiology), Disease Outbreaks (prevention & control), Hospitalization (statistics & numerical data), Hospitals (utilization), Humans, Population Surveillance (methods), Respiratory Tract Infections (epidemiology), Sensitivity and Specificity.
- MESH :
- epidemiology : Bangladesh, Central Nervous System Infections, Respiratory Tract Infections.
- methods : Population Surveillance.
- prevention & control : Disease Outbreaks.
- statistics & numerical data : Hospitalization.
- utilization : Hospitals.
- Humans, Sensitivity and Specificity.
Abstract
The International Health Regulations outline core requirements to ensure the detection of public health threats of international concern. Assessing the capacity of surveillance systems to detect these threats is crucial for evaluating a country's ability to meet these requirements.
DOI: 10.1371/journal.pmed.1002218
PubMed: 28095468
Links to Exploration step
pubmed:28095468Le document en format XML
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Paul</name><affiliation><nlm:affiliation>Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.</nlm:affiliation></affiliation></author><author><name sortKey="Rahman, Mahmudur" sort="Rahman, Mahmudur" uniqKey="Rahman M" first="Mahmudur" last="Rahman">Mahmudur Rahman</name><affiliation><nlm:affiliation>Institute of Epidemiology, Disease Control and Research, Dhaka, Bangladesh.</nlm:affiliation></affiliation></author><author><name sortKey="Hossain, M Jahangir" sort="Hossain, M Jahangir" uniqKey="Hossain M" first="M Jahangir" last="Hossain">M Jahangir Hossain</name><affiliation><nlm:affiliation>Medical Research Council Unit The Gambia, Banjul, The Gambia.</nlm:affiliation></affiliation></author><author><name sortKey="Luby, Stephen P" sort="Luby, Stephen P" uniqKey="Luby S" first="Stephen P" last="Luby">Stephen P. Luby</name><affiliation><nlm:affiliation>Infectious Diseases Division, Stanford University, Stanford, California, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Cauchemez, Simon" sort="Cauchemez, Simon" uniqKey="Cauchemez S" first="Simon" last="Cauchemez">Simon Cauchemez</name><affiliation><nlm:affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France.</nlm:affiliation></affiliation></author><author><name sortKey="Gurley, Emily S" sort="Gurley, Emily S" uniqKey="Gurley E" first="Emily S" last="Gurley">Emily S. Gurley</name><affiliation><nlm:affiliation>Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2017">2017</date><idno type="RBID">pubmed:28095468</idno><idno type="pmid">28095468</idno><idno type="doi">10.1371/journal.pmed.1002218</idno><idno type="wicri:Area/PubMed/Corpus">001225</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">001225</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Evaluating Hospital-Based Surveillance for Outbreak Detection in Bangladesh: Analysis of Healthcare Utilization Data.</title><author><name sortKey="Nikolay, Birgit" sort="Nikolay, Birgit" uniqKey="Nikolay B" first="Birgit" last="Nikolay">Birgit Nikolay</name><affiliation><nlm:affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France.</nlm:affiliation></affiliation></author><author><name sortKey="Salje, Henrik" sort="Salje, Henrik" uniqKey="Salje H" first="Henrik" last="Salje">Henrik Salje</name><affiliation><nlm:affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France.</nlm:affiliation></affiliation></author><author><name sortKey="Sturm Ramirez, Katharine" sort="Sturm Ramirez, Katharine" uniqKey="Sturm Ramirez K" first="Katharine" last="Sturm-Ramirez">Katharine Sturm-Ramirez</name><affiliation><nlm:affiliation>Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Azziz Baumgartner, Eduardo" sort="Azziz Baumgartner, Eduardo" uniqKey="Azziz Baumgartner E" first="Eduardo" last="Azziz-Baumgartner">Eduardo Azziz-Baumgartner</name><affiliation><nlm:affiliation>Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Homaira, Nusrat" sort="Homaira, Nusrat" uniqKey="Homaira N" first="Nusrat" last="Homaira">Nusrat Homaira</name><affiliation><nlm:affiliation>Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.</nlm:affiliation></affiliation></author><author><name sortKey="Ahmed, Makhdum" sort="Ahmed, Makhdum" uniqKey="Ahmed M" first="Makhdum" last="Ahmed">Makhdum Ahmed</name><affiliation><nlm:affiliation>School of Public Health, University of Texas Health Science Center, Houston, Texas, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Iuliano, A Danielle" sort="Iuliano, A Danielle" uniqKey="Iuliano A" first="A Danielle" last="Iuliano">A Danielle Iuliano</name><affiliation><nlm:affiliation>Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Paul, Repon C" sort="Paul, Repon C" uniqKey="Paul R" first="Repon C" last="Paul">Repon C. Paul</name><affiliation><nlm:affiliation>Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.</nlm:affiliation></affiliation></author><author><name sortKey="Rahman, Mahmudur" sort="Rahman, Mahmudur" uniqKey="Rahman M" first="Mahmudur" last="Rahman">Mahmudur Rahman</name><affiliation><nlm:affiliation>Institute of Epidemiology, Disease Control and Research, Dhaka, Bangladesh.</nlm:affiliation></affiliation></author><author><name sortKey="Hossain, M Jahangir" sort="Hossain, M Jahangir" uniqKey="Hossain M" first="M Jahangir" last="Hossain">M Jahangir Hossain</name><affiliation><nlm:affiliation>Medical Research Council Unit The Gambia, Banjul, The Gambia.</nlm:affiliation></affiliation></author><author><name sortKey="Luby, Stephen P" sort="Luby, Stephen P" uniqKey="Luby S" first="Stephen P" last="Luby">Stephen P. Luby</name><affiliation><nlm:affiliation>Infectious Diseases Division, Stanford University, Stanford, California, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Cauchemez, Simon" sort="Cauchemez, Simon" uniqKey="Cauchemez S" first="Simon" last="Cauchemez">Simon Cauchemez</name><affiliation><nlm:affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France.</nlm:affiliation></affiliation></author><author><name sortKey="Gurley, Emily S" sort="Gurley, Emily S" uniqKey="Gurley E" first="Emily S" last="Gurley">Emily S. Gurley</name><affiliation><nlm:affiliation>Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.</nlm:affiliation></affiliation></author></analytic><series><title level="j">PLoS medicine</title><idno type="eISSN">1549-1676</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Bangladesh (epidemiology)</term><term>Central Nervous System Infections (epidemiology)</term><term>Disease Outbreaks (prevention & control)</term><term>Hospitalization (statistics & numerical data)</term><term>Hospitals (utilization)</term><term>Humans</term><term>Population Surveillance (methods)</term><term>Respiratory Tract Infections (epidemiology)</term><term>Sensitivity and Specificity</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Bangladesh</term><term>Central Nervous System Infections</term><term>Respiratory Tract Infections</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Population Surveillance</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Disease Outbreaks</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Hospitalization</term></keywords><keywords scheme="MESH" qualifier="utilization" xml:lang="en"><term>Hospitals</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Sensitivity and Specificity</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The International Health Regulations outline core requirements to ensure the detection of public health threats of international concern. Assessing the capacity of surveillance systems to detect these threats is crucial for evaluating a country's ability to meet these requirements.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28095468</PMID><DateCreated><Year>2017</Year><Month>01</Month><Day>17</Day></DateCreated><DateCompleted><Year>2017</Year><Month>06</Month><Day>02</Day></DateCompleted><DateRevised><Year>2017</Year><Month>06</Month><Day>02</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1549-1676</ISSN><JournalIssue CitedMedium="Internet"><Volume>14</Volume><Issue>1</Issue><PubDate><Year>2017</Year><Month>Jan</Month></PubDate></JournalIssue><Title>PLoS medicine</Title><ISOAbbreviation>PLoS Med.</ISOAbbreviation></Journal><ArticleTitle>Evaluating Hospital-Based Surveillance for Outbreak Detection in Bangladesh: Analysis of Healthcare Utilization Data.</ArticleTitle><Pagination><MedlinePgn>e1002218</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pmed.1002218</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The International Health Regulations outline core requirements to ensure the detection of public health threats of international concern. Assessing the capacity of surveillance systems to detect these threats is crucial for evaluating a country's ability to meet these requirements.</AbstractText><AbstractText Label="METHODS AND FINDINGS" NlmCategory="RESULTS">We propose a framework to evaluate the sensitivity and representativeness of hospital-based surveillance and apply it to severe neurological infectious diseases and fatal respiratory infectious diseases in Bangladesh. We identified cases in selected communities within surveillance hospital catchment areas using key informant and house-to-house surveys and ascertained where cases had sought care. We estimated the probability of surveillance detecting different sized outbreaks by distance from the surveillance hospital and compared characteristics of cases identified in the community and cases attending surveillance hospitals. We estimated that surveillance detected 26% (95% CI 18%-33%) of severe neurological disease cases and 18% (95% CI 16%-21%) of fatal respiratory disease cases residing at 10 km distance from a surveillance hospital. Detection probabilities decreased markedly with distance. The probability of detecting small outbreaks (three cases) dropped below 50% at distances greater than 26 km for severe neurological disease and at distances greater than 7 km for fatal respiratory disease. Characteristics of cases attending surveillance hospitals were largely representative of all cases; however, neurological disease cases aged <5 y or from the lowest socioeconomic group and fatal respiratory disease cases aged ≥60 y were underrepresented. Our estimates of outbreak detection rely on suspected cases that attend a surveillance hospital receiving laboratory confirmation of disease and being reported to the surveillance system. The extent to which this occurs will depend on disease characteristics (e.g., severity and symptom specificity) and surveillance resources.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">We present a new approach to evaluating the sensitivity and representativeness of hospital-based surveillance, making it possible to predict its ability to detect emerging threats.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Nikolay</LastName><ForeName>Birgit</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Centre National de la Recherche Scientifique, URA3012, Paris, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, Paris, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Salje</LastName><ForeName>Henrik</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Centre National de la Recherche Scientifique, URA3012, Paris, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, Paris, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sturm-Ramirez</LastName><ForeName>Katharine</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Azziz-Baumgartner</LastName><ForeName>Eduardo</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Homaira</LastName><ForeName>Nusrat</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Discipline of Paediatrics, School of Women's and Children's Health, University of New South Wales, Sydney, New South Wales, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ahmed</LastName><ForeName>Makhdum</ForeName><Initials>M</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-0772-8710</Identifier><AffiliationInfo><Affiliation>School of Public Health, University of Texas Health Science Center, Houston, Texas, United States of America.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Iuliano</LastName><ForeName>A Danielle</ForeName><Initials>AD</Initials><AffiliationInfo><Affiliation>Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Paul</LastName><ForeName>Repon C</ForeName><Initials>RC</Initials><AffiliationInfo><Affiliation>Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>School of Public Health and Community Medicine, University of New South Wales Australia, Sydney, New South Wales, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rahman</LastName><ForeName>Mahmudur</ForeName><Initials>M</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-3698-4852</Identifier><AffiliationInfo><Affiliation>Institute of Epidemiology, Disease Control and Research, Dhaka, Bangladesh.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hossain</LastName><ForeName>M Jahangir</ForeName><Initials>MJ</Initials><AffiliationInfo><Affiliation>Medical Research Council Unit The Gambia, Banjul, The Gambia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Luby</LastName><ForeName>Stephen P</ForeName><Initials>SP</Initials><Identifier Source="ORCID">http://orcid.org/0000-0001-5385-899X</Identifier><AffiliationInfo><Affiliation>Infectious Diseases Division, Stanford University, Stanford, California, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cauchemez</LastName><ForeName>Simon</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Centre National de la Recherche Scientifique, URA3012, Paris, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, Paris, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gurley</LastName><ForeName>Emily S</ForeName><Initials>ES</Initials><AffiliationInfo><Affiliation>Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, 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MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004196" MajorTopicYN="Y">Disease Outbreaks</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006760" MajorTopicYN="N">Hospitalization</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006761" MajorTopicYN="N">Hospitals</DescriptorName><QualifierName UI="Q000656" MajorTopicYN="Y">utilization</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011159" MajorTopicYN="N">Population Surveillance</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012141" MajorTopicYN="N">Respiratory Tract Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012680" MajorTopicYN="N">Sensitivity and Specificity</DescriptorName></MeshHeading></MeshHeadingList><CoiStatement>The authors have declared that no competing interests exist.</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year><Month>07</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>12</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>1</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>1</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:28095468" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a AustralieFrV1
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