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Zika pandemic online trends, incidence and health risk communication: a time trend study

OBJECTIVES: We aimed to describe the online search trends of Zika and examine their association with Zika incidence, assess the content of Zika-related press releases issued by leading health authorities and examine the association between online trends and press release timing. DESIGN: Using Google...

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Autores principales: Adebayo, Gbenga, Neumark, Yehuda, Gesser-Edelsburg, Anat, Abu Ahmad, Wiessam, Levine, Hagai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Global Health 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656128/
https://www.ncbi.nlm.nih.gov/pubmed/29082006
http://dx.doi.org/10.1136/bmjgh-2017-000296
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author Adebayo, Gbenga
Neumark, Yehuda
Gesser-Edelsburg, Anat
Abu Ahmad, Wiessam
Levine, Hagai
author_facet Adebayo, Gbenga
Neumark, Yehuda
Gesser-Edelsburg, Anat
Abu Ahmad, Wiessam
Levine, Hagai
author_sort Adebayo, Gbenga
collection PubMed
description OBJECTIVES: We aimed to describe the online search trends of Zika and examine their association with Zika incidence, assess the content of Zika-related press releases issued by leading health authorities and examine the association between online trends and press release timing. DESIGN: Using Google Trends, the 1 May 2015 to 30 May 2016 online trends of Zika and associated search terms were studied globally and in the five countries with the highest numbers of suspected cases. Correlations were then examined between online trends and Zika incidence in these countries. All Zika-related press releases issued by WHO/Pan America Health Organization (PAHO) and Centers for Disease Control and Prevention (CDC) during the study period were assessed for transparency, uncertainty and audience segmentation. Witte's Extended Parallel Process Model was applied to assess self-efficacy, response efficacy, susceptibility and severity. AutoRegressive Integrated Moving Average with an eXogenous predictor variable (ARIMAX) (p,d,q) regression modelling was used to quantify the association between online trends and the timing of press releases. RESULTS: Globally, Zika online search trends were low until the beginning of 2016, when interest rose steeply. Strong correlations (r=0.748–0.922; p<0.001) were observed between online trends and the number of suspected Zika cases in four of the five countries studied. Compared with press releases issued by WHO/PAHO, CDC press releases were significantly more likely to provide contact details and links to other resources, include figures/graphs, be risk-advisory in nature and be more readable and briefer. ARIMAX modelling results indicate that online trends preceded by 1 week press releases by WHO (stationary-R(2)=0.345; p<0.001) and CDC (stationary-R(2)=0.318; p=0.014). CONCLUSIONS: These results suggest that online trends can aid in pandemic surveillance. Identification of shortcomings in the content and timing of Zika press releases can help guide health communication efforts in the current pandemic and future public health emergencies.
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spelling pubmed-56561282017-10-27 Zika pandemic online trends, incidence and health risk communication: a time trend study Adebayo, Gbenga Neumark, Yehuda Gesser-Edelsburg, Anat Abu Ahmad, Wiessam Levine, Hagai BMJ Glob Health Research OBJECTIVES: We aimed to describe the online search trends of Zika and examine their association with Zika incidence, assess the content of Zika-related press releases issued by leading health authorities and examine the association between online trends and press release timing. DESIGN: Using Google Trends, the 1 May 2015 to 30 May 2016 online trends of Zika and associated search terms were studied globally and in the five countries with the highest numbers of suspected cases. Correlations were then examined between online trends and Zika incidence in these countries. All Zika-related press releases issued by WHO/Pan America Health Organization (PAHO) and Centers for Disease Control and Prevention (CDC) during the study period were assessed for transparency, uncertainty and audience segmentation. Witte's Extended Parallel Process Model was applied to assess self-efficacy, response efficacy, susceptibility and severity. AutoRegressive Integrated Moving Average with an eXogenous predictor variable (ARIMAX) (p,d,q) regression modelling was used to quantify the association between online trends and the timing of press releases. RESULTS: Globally, Zika online search trends were low until the beginning of 2016, when interest rose steeply. Strong correlations (r=0.748–0.922; p<0.001) were observed between online trends and the number of suspected Zika cases in four of the five countries studied. Compared with press releases issued by WHO/PAHO, CDC press releases were significantly more likely to provide contact details and links to other resources, include figures/graphs, be risk-advisory in nature and be more readable and briefer. ARIMAX modelling results indicate that online trends preceded by 1 week press releases by WHO (stationary-R(2)=0.345; p<0.001) and CDC (stationary-R(2)=0.318; p=0.014). CONCLUSIONS: These results suggest that online trends can aid in pandemic surveillance. Identification of shortcomings in the content and timing of Zika press releases can help guide health communication efforts in the current pandemic and future public health emergencies. BMJ Global Health 2017-08-15 /pmc/articles/PMC5656128/ /pubmed/29082006 http://dx.doi.org/10.1136/bmjgh-2017-000296 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Research
Adebayo, Gbenga
Neumark, Yehuda
Gesser-Edelsburg, Anat
Abu Ahmad, Wiessam
Levine, Hagai
Zika pandemic online trends, incidence and health risk communication: a time trend study
title Zika pandemic online trends, incidence and health risk communication: a time trend study
title_full Zika pandemic online trends, incidence and health risk communication: a time trend study
title_fullStr Zika pandemic online trends, incidence and health risk communication: a time trend study
title_full_unstemmed Zika pandemic online trends, incidence and health risk communication: a time trend study
title_short Zika pandemic online trends, incidence and health risk communication: a time trend study
title_sort zika pandemic online trends, incidence and health risk communication: a time trend study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656128/
https://www.ncbi.nlm.nih.gov/pubmed/29082006
http://dx.doi.org/10.1136/bmjgh-2017-000296
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