Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants. (24th June 2019)
- Record Type:
- Journal Article
- Title:
- Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants. (24th June 2019)
- Main Title:
- Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants
- Authors:
- Thompson, Robin N.
Brooks-Pollock, Ellen - Abstract:
- 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 futureAbstract : 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'. … (more)
- Is Part Of:
- Philosophical transactions. Volume 374:Number 1775(2019)
- Journal:
- Philosophical transactions
- Issue:
- Volume 374:Number 1775(2019)
- Issue Display:
- Volume 374, Issue 1775 (2019)
- Year:
- 2019
- Volume:
- 374
- Issue:
- 1775
- Issue Sort Value:
- 2019-0374-1775-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-06-24
- Subjects:
- mathematical modelling -- human disease -- animal disease -- plant disease -- public health -- one health
Biology -- Periodicals
Science -- Periodicals
570 - Journal URLs:
- https://royalsocietypublishing.org/loi/rstb ↗
- DOI:
- 10.1098/rstb.2019.0038 ↗
- Languages:
- English
- ISSNs:
- 0962-8436
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 25085.xml