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Delays in global disease outbreak responses: Lessons from H1N1, Ebola, and Zika

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  • Hoffman, S.J.
  • Silverberg, S.L.

Abstract

In global disease outbreaks, there are significant time delays between the source of an outbreak and collective action. Some delay is necessary, but recent delays have been extended by insufficient surveillance capacity and time-consuming efforts to mobilize action. Three public health emergencies of international concern (PHEICs)-H1N1, Ebola, and Zika-allow us to identify and compare sources of delays and consider seven hypotheses about what influences the length of delays. These hypotheses can then motivate further research that empirically tests them. The three PHEICs suggest that deferred global mobilization is a greater source of delay than is poor surveillance capacity. These case study outbreaks support hypotheses that we see quicker responses for novel diseases when outbreaks do not coincide with holidays and when US citizens are infected. They do not support hypotheses that we see quicker responses for more severe outbreaks or those that threaten larger numbers of people. Better understanding the reason for delays can help target policy interventions and identify the kind of global institutional changes needed to reduce the spread and severity of future PHEICs.

Suggested Citation

  • Hoffman, S.J. & Silverberg, S.L., 2018. "Delays in global disease outbreak responses: Lessons from H1N1, Ebola, and Zika," American Journal of Public Health, American Public Health Association, vol. 108(3), pages 329-333.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2017.304245_8
    DOI: 10.2105/AJPH.2017.304245
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    Cited by:

    1. Chang Ma & John Rogers & Sili Zhou, 2023. "Modern Pandemics: Recession and Recovery," Journal of the European Economic Association, European Economic Association, vol. 21(5), pages 2098-2130.
    2. repec:zbw:bofitp:2020_016 is not listed on IDEAS
    3. Rosy Dhall & Bhanwar Singh, 2020. "The COVID-19 Pandemic and Herding Behaviour: Evidence from India’s Stock Market," Millennial Asia, , vol. 11(3), pages 366-390, December.
    4. Izzeldin, Marwan & Muradoğlu, Yaz Gülnur & Pappas, Vasileios & Sivaprasad, Sheeja, 2021. "The impact of Covid-19 on G7 stock markets volatility: Evidence from a ST-HAR model," International Review of Financial Analysis, Elsevier, vol. 74(C).
    5. Md Qamar Azam & Nazia Iqbal Hashmi & Iqbal Thonse Hawaldar & Md Shabbir Alam & Mirza Allim Baig, 2022. "The COVID-19 Pandemic and Overconfidence Bias: The Case of Cyclical and Defensive Sectors," Risks, MDPI, vol. 10(3), pages 1-15, March.
    6. Chang Ma & John H. Rogers & Sili Zhou, 2020. "Modern Pandemics: Recession and Recovery," International Finance Discussion Papers 1295, Board of Governors of the Federal Reserve System (U.S.).
    7. Yarovaya, Larisa & Brzeszczyński, Janusz & Goodell, John W. & Lucey, Brian & Lau, Chi Keung Marco, 2022. "Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    8. Yarovaya, Larisa & Matkovskyy, Roman & Jalan, Akanksha, 2021. "The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    9. Durizzo, Kathrin & Asiedu, Edward & Van der Merwe, Antoinette & Van Niekerk, Attie & Günther, Isabel, 2021. "Managing the COVID-19 pandemic in poor urban neighborhoods: The case of Accra and Johannesburg," World Development, Elsevier, vol. 137(C).
    10. Ohid Yaqub & Javier A Luna & Duncan Aq Moore & Alfredo Yegros-Yegros, 2022. "Responding to a disease with resources from other diseases: Evidence from Zika vaccine research dynamics [Protective Efficacy of Multiple Vaccine Platforms against Zika Virus Challenge in Rhesus Mo," Science and Public Policy, Oxford University Press, vol. 49(6), pages 942-950.

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