Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants.
Identifieur interne : 000141 ( PubMed/Corpus ); précédent : 000140; suivant : 000142Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants.
Auteurs : Robin N. Thompson ; Ellen Brooks-PollockSource :
- Philosophical transactions of the Royal Society of London. Series B, Biological sciences [ 1471-2970 ] ; 2019.
English descriptors
- KwdEn :
- Animal Diseases (diagnosis), Animal Diseases (epidemiology), Animal Diseases (prevention & control), Animals, Communicable Diseases (diagnosis), Communicable Diseases (epidemiology), Communicable Diseases (veterinary), Disease Outbreaks (prevention & control), Disease Outbreaks (statistics & numerical data), Epidemics (prevention & control), Epidemics (statistics & numerical data), Forecasting, Humans, Models, Statistical, Plant Diseases (prevention & control), Plant Diseases (statistics & numerical data).
- MESH :
- diagnosis : Animal Diseases, Communicable Diseases.
- epidemiology : Animal Diseases, Communicable Diseases.
- prevention & control : Animal Diseases, Disease Outbreaks, Epidemics, Plant Diseases.
- statistics & numerical data : Disease Outbreaks, Epidemics, Plant Diseases.
- veterinary : Communicable Diseases.
- Animals, Forecasting, Humans, Models, Statistical.
Abstract
The 1918 influenza pandemic is one of the most devastating infectious disease epidemics on record, having caused approximately 50 million deaths worldwide. Control measures, including prohibiting non-essential gatherings as well as closing cinemas and music halls, were applied with varying success and limited knowledge of transmission dynamics. One hundred years later, following developments in the field of mathematical epidemiology, models are increasingly used to guide decision-making and devise appropriate interventions that mitigate the impacts of epidemics. Epidemiological models have been used as decision-making tools during outbreaks in human, animal and plant populations. However, as the subject has developed, human, animal and plant disease modelling have diverged. Approaches have been developed independently for pathogens of each host type, often despite similarities between the models used in these complementary fields. With the increased importance of a One Health approach that unifies human, animal and plant health, we argue that more inter-disciplinary collaboration would enhance each of the related disciplines. This pair of theme issues presents research articles written by human, animal and plant disease modellers. In this introductory article, we compare the questions pertinent to, and approaches used by, epidemiological modellers of human, animal and plant pathogens, and summarize the articles in these theme issues. We encourage future collaboration that transcends disciplinary boundaries and links the closely related areas of human, animal and plant disease epidemic modelling. This article is part of the theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes'. This issue is linked with the subsequent theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control'.
DOI: 10.1098/rstb.2019.0038
PubMed: 31056051
Links to Exploration step
pubmed:31056051Le document en format XML
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Control measures, including prohibiting non-essential gatherings as well as closing cinemas and music halls, were applied with varying success and limited knowledge of transmission dynamics. One hundred years later, following developments in the field of mathematical epidemiology, models are increasingly used to guide decision-making and devise appropriate interventions that mitigate the impacts of epidemics. Epidemiological models have been used as decision-making tools during outbreaks in human, animal and plant populations. However, as the subject has developed, human, animal and plant disease modelling have diverged. Approaches have been developed independently for pathogens of each host type, often despite similarities between the models used in these complementary fields. With the increased importance of a One Health approach that unifies human, animal and plant health, we argue that more inter-disciplinary collaboration would enhance each of the related disciplines. This pair of theme issues presents research articles written by human, animal and plant disease modellers. In this introductory article, we compare the questions pertinent to, and approaches used by, epidemiological modellers of human, animal and plant pathogens, and summarize the articles in these theme issues. We encourage future collaboration that transcends disciplinary boundaries and links the closely related areas of human, animal and plant disease epidemic modelling. This article is part of the theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes'. This issue is linked with the subsequent theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control'.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">31056051</PMID><DateCompleted><Year>2020</Year><Month>04</Month><Day>17</Day></DateCompleted><DateRevised><Year>2020</Year><Month>04</Month><Day>17</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1471-2970</ISSN><JournalIssue CitedMedium="Internet"><Volume>374</Volume><Issue>1775</Issue><PubDate><Year>2019</Year><Month>06</Month><Day>24</Day></PubDate></JournalIssue><Title>Philosophical transactions of the Royal Society of London. Series B, Biological sciences</Title><ISOAbbreviation>Philos. Trans. R. Soc. Lond., B, Biol. Sci.</ISOAbbreviation></Journal><ArticleTitle>Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants.</ArticleTitle><Pagination><MedlinePgn>20190038</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1098/rstb.2019.0038</ELocationID><Abstract><AbstractText>The 1918 influenza pandemic is one of the most devastating infectious disease epidemics on record, having caused approximately 50 million deaths worldwide. Control measures, including prohibiting non-essential gatherings as well as closing cinemas and music halls, were applied with varying success and limited knowledge of transmission dynamics. One hundred years later, following developments in the field of mathematical epidemiology, models are increasingly used to guide decision-making and devise appropriate interventions that mitigate the impacts of epidemics. Epidemiological models have been used as decision-making tools during outbreaks in human, animal and plant populations. However, as the subject has developed, human, animal and plant disease modelling have diverged. Approaches have been developed independently for pathogens of each host type, often despite similarities between the models used in these complementary fields. With the increased importance of a One Health approach that unifies human, animal and plant health, we argue that more inter-disciplinary collaboration would enhance each of the related disciplines. This pair of theme issues presents research articles written by human, animal and plant disease modellers. In this introductory article, we compare the questions pertinent to, and approaches used by, epidemiological modellers of human, animal and plant pathogens, and summarize the articles in these theme issues. We encourage future collaboration that transcends disciplinary boundaries and links the closely related areas of human, animal and plant disease epidemic modelling. This article is part of the theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes'. 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of Bristol , Langford BS40 5DU , UK.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>5 National Institute for Health Research, Health Protection Research Unit in Evaluation of Interventions, Bristol Medical School , Bristol BS8 2BN , UK.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><Acronym>DH_</Acronym><Agency>Department of Health</Agency><Country>United Kingdom</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D054711">Introductory Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Philos Trans R Soc Lond B Biol Sci</MedlineTA><NlmUniqueID>7503623</NlmUniqueID><ISSNLinking>0962-8436</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000820" MajorTopicYN="N">Animal 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