Information and behavioral responses during a pandemic: Evidence from delays in Covid-19 death reports

Gutiérrez, Emilio; Rubli, Adrian; Tavares, Tiago

doi:10.1016/j.jdeveco.2021.102774

Cited by 11 publications

(8 citation statements)

References 36 publications

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“…5–9 The reverse arrangement, which we examined in our study, is also obviously true: reported case rates affect risk assessment, leading to policies and behaviour changes to limit transmission by reducing mobility. 19,25 In agreement with our stated hypothesis, we found that mobility was more responsive to COVID-19 incidence when cases were rising ( β rising ) than when cases were falling ( β falling ). We expected this because perceived risk should be lower for the same absolute incidence when cases are going up rather than down, resulting in differences in the actions taken to reduce disease transmission.…”

Section: Discussionsupporting

confidence: 90%

Characterizing responsiveness to the COVID-19 pandemic in the United States and Canada using mobility data

Soucy

Fisman

MacFadden

et al. 2022

Preprint

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Background: Mobile phone-derived human mobility data are a proxy for disease transmission risk and have proven useful during the COVID-19 pandemic for forecasting cases and evaluating interventions. We propose a novel metric using mobility data to characterize responsiveness to rising case rates. Methods: We examined weekly reported COVID-19 incidence and retail and recreation mobility from Google Community Mobility Reports for 50 U.S. states and nine Canadian provinces from December 2020 to November 2021. For each jurisdiction, we calculated the responsiveness of mobility to COVID-19 incidence when cases were rising. Responsiveness across countries was summarized using subgroup meta-analysis. We also calculated the correlation between the responsiveness metric and the reported COVID-19 death rate during the study period. Findings: Responsiveness in Canadian provinces (β = -1.45; 95% CI: -2.45, -0.44) was approximately five times greater than in U.S. states (β = -0.30; 95% CI: -0.38, -0.21). Greater responsiveness was moderately correlated with a lower reported COVID-19 death rate during the study period (Spearman's ρ = 0.51), whereas average mobility was only weakly correlated the COVID-19 death rate (Spearman's ρ = 0.20). Interpretation: Our study used a novel mobility-derived metric to reveal a near-universal phenomenon of reductions in mobility subsequent to rising COVID-19 incidence across 59 states and provinces of the U.S. and Canada, while also highlighting the different public health approaches taken by the two countries. Funding: This study received no funding.

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Section: Discussionsupporting

confidence: 90%

Characterizing responsiveness to the COVID-19 pandemic in the United States and Canada using mobility data

Soucy

Fisman

MacFadden

et al. 2022

Preprint

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“…Mexican health authorities only report positive cases, recovered cases, hospitalizations, and deaths, focusing primarily on hospitalized patients, but do not efficiently process these data [21]. Combined with poor crisis management, disregard for scientific information, and negligent policies by the national highest authorities, adverse effects are exerted on the design of policy responses [22].…”

Section: Discussionmentioning

confidence: 99%

Comparative Analysis of Age, Sex, and Viral Load in Outpatients during the Four Waves of SARS-CoV-2 in A Mexican Medium-Sized City

Covantes-Rosales

Barajas-Carrillo

Girón-Pérez

et al. 2022

IJERPH

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Governments have implemented measures to minimize SARS-CoV-2 spread. However, these measures were relaxed, and the appearance of new variants has prompted periods of high contagion known as waves. In Mexico, four waves distributed between July and August 2020, January and February 2021, August and September 2021, and January and February 2022 have appeared. Current health policies discourage mass sampling, preferring to focus on the corrective treatment of severe cases. Outpatients are only advised to undergo brief voluntary confinement and symptomatic treatment, with no follow-up. Therefore, the present study aimed to analyze sex, age, and viral load in outpatients during the four waves in a medium-sized city in Mexico. For each wave, the date of peak contagion was identified, and data were collected within ±15 days. In this regard, data from 916 patients (434 men and 482 women) were analyzed. The age range of positive patients (37–45 years) presented a higher frequency during the first and third waves, while 28–36 years was the most frequent age range during the second and fourth waves, while the viral load values were significantly higher, for both sexes, during the fourth wave. Obtained data of COVID-19 prevalence in population segments can be used for decision-making in the design of effective public health policies.

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“…The number of available tests was limited, and many Burkinabe people were reluctant to get tested because of the psychosis caused by the disease and the fear of the disease (Kobiane, 2020). 2020; Gutierrez et al, 2022;Bursztyn et al, 2020;Banerjee et al, 2020;Fetzer et al, 2021). We hypothesize that the media may have reinforced emotional responses to shocks by giving greater prominence to Covid-19 issues and, as a result, altering risk perceptions.…”

Section: Introductionmentioning

confidence: 97%

“…Gutierrez et al (2022) randomized information about the epidemic in an online survey in Mexico. They show that inaccurate real-time information due to reporting death delays leads to individuals being slower to adopt protective behaviors and alter their perceptions regarding the severity of the epidemic Simonov et al (2020).…”

mentioning

confidence: 99%

Permanent Instability of Preferences after COVID-19 Crisis: A Natural Experiment from Urban Burkina Faso

2023

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Information and behavioral responses during a pandemic: Evidence from delays in Covid-19 death reports

Cited by 11 publications

References 36 publications

Characterizing responsiveness to the COVID-19 pandemic in the United States and Canada using mobility data

Characterizing responsiveness to the COVID-19 pandemic in the United States and Canada using mobility data

Comparative Analysis of Age, Sex, and Viral Load in Outpatients during the Four Waves of SARS-CoV-2 in A Mexican Medium-Sized City

Permanent Instability of Preferences after COVID-19 Crisis: A Natural Experiment from Urban Burkina Faso

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