scholarly journals The necessary cooperation between governments and public in the fight against COVID-19: why non-pharmaceutical interventions may be ineffective

Author(s):  
Christielly Mendonca Borges ◽  
Marco Tulio Pacheco Coelho ◽  
Jose Alexandre Felizola Diniz-Filho ◽  
Thiago Fernando Rangel

The coronavirus disease (COVID-19) outbreak is the biggest public health challenge in the last 100 years. No successful pharmaceutical treatment is yet available, thus effective public health interventions to contain COVID-19 include social distancing, isolation and quarantine measures. However the efficiency of these containment measures varied among countries and even within states in the same country. Despite Brazil being deeply affected by coronavirus, the federal government never proposed a coordinated action to control COVID-19 and Brazilian states, which are autonomous, each imposed different containment measures. The state of Goiás declared strict social distancing measures in March 13, but gradually relaxed many of its first measures due specially to public pressure. Here we use a Susceptible-Infected-Recovered (SIR) model combined with Bayesian inference and a time-dependent spreading rate to assess how past state-level interventions affected the spread of COVID-19 in Goiás. The interventions succeeded in decreasing the transmission rate in the state, however, after the third intervention the rate remained positive and exponential. Thus, other stricter interventions were made necessary to avoid the growth of new cases and a collapse in the health system. Governmental interventions need to be taken seriously by the population in order for them have the proposed outcome. Our results reflect the population's disregard with the measures imposed and the need for cooperation between governments and its citizens in the fight against COVID-19.

2021 ◽  
Vol 13 (3) ◽  
pp. 328-357
Author(s):  
Claire Dunn ◽  
Isabel Laterzo

In Brazil and Mexico, presidents failed to take swift, national action to stop the spread of COVID-19. Instead, the burden of imposing and enforcing public health measures has largely fallen to subnational leaders, resulting in varied approaches within each country and conflicting messaging from elites. We likewise see variation in compliance with social distancing across subnational units. To explain this variation, we contend that citizen responses are driven both by the comprehensiveness of state policies and whether they take cues from national or subnational elites. We hypothesize that support for national and subnational elites, and the nature of the state-level policy response, affect citizen compliance with public health guidelines. In both countries, we find that support for the governor has an interactive relationship with policy response. In Brazil, support for the president is associated with lower compliance. In Mexico, this effect is not present. We argue that these distinct relationships are due to the different cues emerging from each leader.


2021 ◽  
Vol 12 ◽  
pp. 215013272199545
Author(s):  
Areej Khokhar ◽  
Aaron Spaulding ◽  
Zuhair Niazi ◽  
Sikander Ailawadhi ◽  
Rami Manochakian ◽  
...  

Importance: Social media is widely used by various segments of society. Its role as a tool of communication by the Public Health Departments in the U.S. remains unknown. Objective: To determine the impact of the COVID-19 pandemic on social media following of the Public Health Departments of the 50 States of the U.S. Design, Setting, and Participants: Data were collected by visiting the Public Health Department web page for each social media platform. State-level demographics were collected from the U.S. Census Bureau. The Center for Disease Control and Prevention was utilized to collect information regarding the Governance of each State’s Public Health Department. Health rankings were collected from “America’s Health Rankings” 2019 Annual report from the United Health Foundation. The U.S. News and World Report Education Rankings were utilized to provide information regarding the public education of each State. Exposure: Data were pulled on 3 separate dates: first on March 5th (baseline and pre-national emergency declaration (NED) for COVID-19), March 18th (week following NED), and March 25th (2 weeks after NED). In addition, a variable identifying the total change across platforms was also created. All data were collected at the State level. Main Outcome: Overall, the social media following of the state Public Health Departments was very low. There was a significant increase in the public interest in following the Public Health Departments during the early phase of the COVID-19 pandemic. Results: With the declaration of National Emergency, there was a 150% increase in overall public following of the State Public Health Departments in the U.S. The increase was most noted in the Midwest and South regions of the U.S. The overall following in the pandemic “hotspots,” such as New York, California, and Florida, was significantly lower. Interesting correlations were noted between various demographic variables, health, and education ranking of the States and the social media following of their Health Departments. Conclusion and Relevance: Social media following of Public Health Departments across all States of the U.S. was very low. Though, the social media following significantly increased during the early course of the COVID-19 pandemic, but it still remains low. Significant opportunity exists for Public Health Departments to improve social media use to engage the public better.


Author(s):  
Sewon Hur ◽  
Michael Jenuwine

The spread of the COVID-19 pandemic has resulted in a dual public health and economic crisis. Many economic studies in the past few months have explored the relationship between the spread of disease and economic activity, the role for government intervention in the crisis, and the effectiveness of testing and containment policies. This Commentary summarizes the methods and findings of a number of these studies. The economic research conducted to date shows that adequate testing and selective containment measures can be effective in fighting the COVID-19 pandemic, and in the absence of adequate testing capabilities, optimal interventions involve social distancing and other lockdown measures.


2020 ◽  
Vol 13 (2) ◽  
pp. 143-158
Author(s):  
Rachel Kappler ◽  
Arduizur Carli Richie-Zavaleta

Purpose Human trafficking (HT) is a local, national and international problem with a range of human rights, public health and policy implications. Victims of HT face atrocious abuses that negatively impact their health outcomes. When a state lacks protective laws, such as Safe Harbor laws, victims of HT tend to be seen as criminals. This paper aims to highlight the legal present gaps within Missouri’s anti-trafficking legislation and delineates recommendations for the legal protection of victims of HT and betterment of services needed for their reintegration and healing. Design/methodology/approach This case-study is based on a policy analysis of current Missouri’s HT laws. This analysis was conducted through examining current rankings systems created by nationally and internationally recognized non-governmental organizations as well as governmental reports. Additionally, other state’s best practice and law passage of Safe Harbor legislations were examined. The recommendations were based on human rights and public health frameworks. Findings Missouri is a state that has yet to upgrade its laws lately to reflect Safe Harbor laws. Constant upgrades and evaluations of current efforts are necessary to protect and address HT at the state and local levels. Public health and human rights principles can assist in the upgrading of current laws as well as other states’ best-practice and integration of protective legislation and diversion programs to both youth and adult victims of HT. Research limitations/implications Laws are continually being updated at the state level; therefore, there might be some upgrades that have taken place after the analysis of this case study was conducted. Also, the findings and recommendations of this case study are limited to countries that are similar to the USA in terms of the state-level autonomy to pass laws independently from federal law. Practical implications If Safe Harbor laws are well designed, they have greater potential to protect, support and assist victims of HT in their process from victimization into survivorship as well as to paving the way for societal reintegration. The creation and enforcement of Safe Harbor laws is a way to ensure the decriminalization process. Additionally, this legal protection also ensures that the universal human rights of victims are protected. Consequently, these legal processes and updates could assist in creating healthier communities in the long run in the USA and around the world. Social implications From a public health and human rights perspectives, communities in the USA and around the world cannot provide complete protection to victims of HT until their anti-trafficking laws reflect Safe Harbor laws. Originality/value This case study, to the best of the authors’ knowledge, is a unique analysis that dismantles the discrepancies of Missouri’s current HT laws. This work is valuable to those who create policies at the state level and advocate for the protection of victims and anti-trafficking efforts.


2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Shamoon Noushad ◽  
Shershah Syed ◽  
Sadaf Ahmed

Aims: To explore the impact of obstetric fistula in the county and to propose effective public health interventions that can help to prevent the condition with a long-term goal of eradicating the condition. Methods: The survey and analysis included secondary data addressing women's experiences of fistula; dynamics and limitationsdetermining women's access to in healthcare facilities for fistula management; and restraintsof health professional as well as health inequities. Results: It was assessed that recently, many hospitals and organizations in the country go on board on intercessions to address the impact of the illness, however, much importance is on pinpointing and discussing the existing cases rather than focusing on public health interventions that can help to prevent and eventually eradicate the condition in Pakistan.


2020 ◽  
Author(s):  
Jie Zhu ◽  
Blanca Gallego

Abstract To date, many studies have argued the potential impact of public health interventions on flattening the epidemic curve of SARS-CoV-2. Most of them have focused on simulating the impact of interventions in a region of interest by manipulating contact patterns and key transmission parameters to reflect different scenarios. Our study looks into the evolution of the daily effective reproduction number during the epidemic via a stochastic transmission model. We found this measure (although model-dependent) provides an early signal of the efficacy of containment measures. This epidemiological parameter when updated in real-time can also provide better predictions of future outbreaks. Our results found a substantial variation in the effect of public health interventions on the dynamic of SARS-CoV-2 transmission over time and across countries, that could not be explained solely by the timing and number of the adopted interventions. This suggests that further knowledge about the idiosyncrasy of their implementation and effectiveness is required. Although sustained containment measures have successfully lowered growth in disease transmission, more than half of the 101 studied countries failed to maintain the effective reproduction number close to or below 1. This resulted in continued growth in reported cases. Finally, we were able to predict with reasonable accuracy which countries would experience outbreaks in the next 30 days.


Author(s):  
Stephen J Beckett ◽  
Marian Dominguez-Mirazo ◽  
Seolha Lee ◽  
Clio Andris ◽  
Joshua S Weitz

Epidemiological forecasts of COVID-19 spread at the country and/or state level have helped shape public health interventions. However, such models leave a scale-gap between the spatial resolution of actionable information (i.e. the county or city level) and that of modeled viral spread. States and nations are not spatially homogeneous and different areas may vary in disease risk and severity. For example, COVID-19 has age-stratified risk. Similarly, ICU units, PPE and other vital equipment are not equally distributed within states. Here, we implement a county-level epidemiological framework to assess and forecast COVID-19 spread through Georgia, where 1,933 people have died from COVID-19 and 44,638 cases have been documented as of May 27, 2020. We find that county-level forecasts trained on heterogeneity due to clustered events can continue to predict epidemic spread over multi-week periods, potentially serving efforts to prepare medical resources, manage supply chains, and develop targeted public health interventions. We find that the premature removal of physical (social) distancing could lead to rapid increases in cases or the emergence of sustained plateaus of elevated fatalities.


2020 ◽  
pp. 194855062094785 ◽  
Author(s):  
Andrew Luttrell ◽  
Richard E. Petty

The coronavirus pandemic has raised pressing questions about effective public health communication. Prior research has shown a persuasive advantage of arguments emphasizing a behavior’s benefits for others’ health compared to benefits for the recipients. We suggest that other-focused (vs. self-focused) messages function more as moral arguments and should thus be especially persuasive to people who moralize public health. Across three studies, people perceived other-focused (vs. self-focused) appeals for social distancing more as moral arguments. Further, evaluations of these messages’ persuasiveness were moderated by how much the recipient already moralized public health. Other-focused arguments tended to be perceived as more persuasive than self-focused arguments primarily among people who saw public health as a moral issue, which had corresponding effects on social distancing intentions. These findings provide critical insight to health communicators and underscore the importance of understanding that a message’s impact can depend on audience characteristics.


Biology ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 220 ◽  
Author(s):  
Renato M. Cotta ◽  
Carolina P. Naveira-Cotta ◽  
Pierre Magal

A SIRU-type epidemic model is employed for the prediction of the COVID-19 epidemy evolution in Brazil, and analyze the influence of public health measures on simulating the control of this infectious disease. The proposed model allows for a time variable functional form of both the transmission rate and the fraction of asymptomatic infectious individuals that become reported symptomatic individuals, to reflect public health interventions, towards the epidemy control. An exponential analytical behavior for the accumulated reported cases evolution is assumed at the onset of the epidemy, for explicitly estimating initial conditions, while a Bayesian inference approach is adopted for the estimation of parameters by employing the direct problem model with the data from the first phase of the epidemy evolution, represented by the time series for the reported cases of infected individuals. The evolution of the COVID-19 epidemy in China is considered for validation purposes, by taking the first part of the dataset of accumulated reported infectious individuals to estimate the related parameters, and retaining the rest of the evolution data for direct comparison with the predicted results. Then, the available data on reported cases in Brazil from 15 February until 29 March, is used for estimating parameters and then predicting the first phase of the epidemy evolution from these initial conditions. The data for the reported cases in Brazil from 30 March until 23 April are reserved for validation of the model. Then, public health interventions are simulated, aimed at evaluating the effects on the disease spreading, by acting on both the transmission rate and the fraction of the total number of the symptomatic infectious individuals, considering time variable exponential behaviors for these two parameters. This first constructed model provides fairly accurate predictions up to day 65 below 5% relative deviation, when the data starts detaching from the theoretical curve. From the simulated public health intervention measures through five different scenarios, it was observed that a combination of careful control of the social distancing relaxation and improved sanitary habits, together with more intensive testing for isolation of symptomatic cases, is essential to achieve the overall control of the disease and avoid a second more strict social distancing intervention. Finally, the full dataset available by the completion of the present work is employed in redefining the model to yield updated epidemy evolution estimates.


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