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Serology as a Tool to Assess Infectious Disease Landscapes and Guide Public Health Policy
Understanding the local burden and epidemiology of infectious diseases is crucial to guide public health policy and prioritize interventions. Typically, infectious disease surveillance relies on capturing clinical cases within a healthcare system, classifying cases by etiology and enumerating cases...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323579/ https://www.ncbi.nlm.nih.gov/pubmed/35889978 http://dx.doi.org/10.3390/pathogens11070732 |
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author | Haselbeck, Andrea H. Im, Justin Prifti, Kristi Marks, Florian Holm, Marianne Zellweger, Raphaël M. |
author_facet | Haselbeck, Andrea H. Im, Justin Prifti, Kristi Marks, Florian Holm, Marianne Zellweger, Raphaël M. |
author_sort | Haselbeck, Andrea H. |
collection | PubMed |
description | Understanding the local burden and epidemiology of infectious diseases is crucial to guide public health policy and prioritize interventions. Typically, infectious disease surveillance relies on capturing clinical cases within a healthcare system, classifying cases by etiology and enumerating cases over a period of time. Disease burden is often then extrapolated to the general population. Serology (i.e., examining serum for the presence of pathogen-specific antibodies) has long been used to inform about individuals past exposure and immunity to specific pathogens. However, it has been underutilized as a tool to evaluate the infectious disease burden landscape at the population level and guide public health decisions. In this review, we outline how serology provides a powerful tool to complement case-based surveillance for determining disease burden and epidemiology of infectious diseases, highlighting its benefits and limitations. We describe the current serology-based technologies and illustrate their use with examples from both the pre- and post- COVID-19-pandemic context. In particular, we review the challenges to and opportunities in implementing serological surveillance in low- and middle-income countries (LMICs), which bear the brunt of the global infectious disease burden. Finally, we discuss the relevance of serology data for public health decision-making and describe scenarios in which this data could be used, either independently or in conjunction with case-based surveillance. We conclude that public health systems would greatly benefit from the inclusion of serology to supplement and strengthen existing case-based infectious disease surveillance strategies. |
format | Online Article Text |
id | pubmed-9323579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93235792022-07-27 Serology as a Tool to Assess Infectious Disease Landscapes and Guide Public Health Policy Haselbeck, Andrea H. Im, Justin Prifti, Kristi Marks, Florian Holm, Marianne Zellweger, Raphaël M. Pathogens Review Understanding the local burden and epidemiology of infectious diseases is crucial to guide public health policy and prioritize interventions. Typically, infectious disease surveillance relies on capturing clinical cases within a healthcare system, classifying cases by etiology and enumerating cases over a period of time. Disease burden is often then extrapolated to the general population. Serology (i.e., examining serum for the presence of pathogen-specific antibodies) has long been used to inform about individuals past exposure and immunity to specific pathogens. However, it has been underutilized as a tool to evaluate the infectious disease burden landscape at the population level and guide public health decisions. In this review, we outline how serology provides a powerful tool to complement case-based surveillance for determining disease burden and epidemiology of infectious diseases, highlighting its benefits and limitations. We describe the current serology-based technologies and illustrate their use with examples from both the pre- and post- COVID-19-pandemic context. In particular, we review the challenges to and opportunities in implementing serological surveillance in low- and middle-income countries (LMICs), which bear the brunt of the global infectious disease burden. Finally, we discuss the relevance of serology data for public health decision-making and describe scenarios in which this data could be used, either independently or in conjunction with case-based surveillance. We conclude that public health systems would greatly benefit from the inclusion of serology to supplement and strengthen existing case-based infectious disease surveillance strategies. MDPI 2022-06-27 /pmc/articles/PMC9323579/ /pubmed/35889978 http://dx.doi.org/10.3390/pathogens11070732 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Haselbeck, Andrea H. Im, Justin Prifti, Kristi Marks, Florian Holm, Marianne Zellweger, Raphaël M. Serology as a Tool to Assess Infectious Disease Landscapes and Guide Public Health Policy |
title | Serology as a Tool to Assess Infectious Disease Landscapes and Guide Public Health Policy |
title_full | Serology as a Tool to Assess Infectious Disease Landscapes and Guide Public Health Policy |
title_fullStr | Serology as a Tool to Assess Infectious Disease Landscapes and Guide Public Health Policy |
title_full_unstemmed | Serology as a Tool to Assess Infectious Disease Landscapes and Guide Public Health Policy |
title_short | Serology as a Tool to Assess Infectious Disease Landscapes and Guide Public Health Policy |
title_sort | serology as a tool to assess infectious disease landscapes and guide public health policy |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323579/ https://www.ncbi.nlm.nih.gov/pubmed/35889978 http://dx.doi.org/10.3390/pathogens11070732 |
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