scholarly journals Impacts of Early Interventions on the Age-Specific Incidence of COVID-19 in New York, Los Angeles, Daegu and Nairobi

Author(s):  
Hao Yin ◽  
Zhu Liu ◽  
Daniel M. Kammen

BackgroundCOVID-19 has caused an unprecedented public health crisis and economic shock to the global economy. While many countries were affected, regions with an older population and weaker public health interventions tended to suffer more morbidity and mortality. Here we model and quantify the age-specific incidence of COVID-19 in four pandemic cities under different interventions.MethodsWe developed an age-specific and multiple-stage susceptible-exposed-infected-recovered-hospitalized-quarantined-dead (SEIR-HQD) dynamical systems model expanded from the more basic SEIR model by incorporating location- and age-specific contact matrices to estimate the outcomes of COVID-19. Utilizing latest estimates of epidemiological parameters and demographic data, we model the potential effects of various interventions in four representative cities with different population structures - New York, Los Angeles, Daegu and Nairobi. We compared the effects of different interventions in the age-structure populations specific to each city. These policy options are then applied to determine the potential for effective containment. We model these dynamic policy scenarios to assess the risks of less-stringent social distancing, as has been proposed by those arguing to enhance economic activity over public health and safety. Finally, we explored the health impacts of different policy action timelines to understand the benefits of early interventions.FindingsWe find the spread of COVID-19 to be dramatically different in the regions modeled, with the primary drivers the variation of population age structures, and the dynamics of interactions of the younger demographics, whose higher interaction rates can lead to increasing transmission rates across these communities. A city with younger citizens may also have fewer hospitalized cases and deaths. Our modeling quantifies the value of early interventions, which avoided an additional 5%, 16%, 37% and 43% of the infections in Daegu, Nairobi, New York and Los Angeles, respectively, compared to what has been observed in the four cities. The finding is clear: in the absence of pharmaceutical options, delaying strict social policy interventions has resulted in substantial public health cost. This modeling can, and will, be applied to other cities and regions, and conducted in conjunction with other health insults, such as exposure to air pollution.Critically, we find that school closures, working from home, and reduction in other mobility were most beneficial for younger population (0-19 years old), middle-age (20-59 years old) population and older population (60 years and older), respectively across each city. Specifically, school closure avoided 25%, 18%, 16% and 12% of the infections for the population under 20 years old in Daegu, Los Angeles, New York and Nairobi, respectively. A 50% and 80% population working from home policy avoids 8% and 15% of the infections. Reduction in mobility was more effective than the working from home strategy. Any single social distancing policy if enacted alone can delay the spread of COVID-19 but was unable to totally suppress the infection. Coordinated policy action can be highly effective. Increasing the quarantine rate to 10% of infectious cases was more effective than strict social distancing alone in this study, although together they can suppress 80% of the epidemic. A combination of moderate social distancing and quarantine strategies was able to avoid 99% of the infections.InterpretationModerate social distancing together with high quarantine rates was effective in each of the four cities. COVID-19 caused more deaths and hospitalization in cities with an ageing population than those with a younger population. However, in the cities with a younger population, there is a clear need to implement a social distancing strategy that is even more strict due to the higher transmission rates among younger people. Cities with more older people should prepare more hospital beds and healthcare facilities to save people who are in critical conditions. Cities with ageing population should take targeted action for the elderly to avoid the severe impacts on the vulnerable populations. Increasing quarantine rate is an effective strategy to avoid the substantial infection while also does not influence the economy fiercely. We recommend countries or regions experiencing, or likely to experience the rapid spread of COVID-19, to implement combination of multiple strategies in the early stage of the breakout which can avoid over 90% of infected cases.FundingNational Natural Science Foundation of China, China Postdoctoral Science Foundation, Qiushi Foundation and the Resnick Sustainability Institute at California Institute of Technology, Zaffaroni Family Foundation, the Karsten Family Foundation, the National Science Foundation of the United States.

2020 ◽  
Author(s):  
Xiaofeng Wang ◽  
Rui Ren ◽  
Michael W Kattan ◽  
Lara Jehi ◽  
Zhenshun Cheng ◽  
...  

BACKGROUND Different states in the United States had different nonpharmaceutical public health interventions during the COVID-19 pandemic. The effects of those interventions on hospital use have not been systematically evaluated. The investigation could provide data-driven evidence to potentially improve the implementation of public health interventions in the future. OBJECTIVE We aim to study two representative areas in the United States and one area in China (New York State, Ohio State, and Hubei Province), and investigate the effects of their public health interventions by time periods according to key interventions. METHODS This observational study evaluated the numbers of infected, hospitalized, and death cases in New York and Ohio from March 16 through September 14, 2020, and Hubei from January 26 to March 31, 2020. We developed novel Bayesian generalized compartmental models. The clinical stages of COVID-19 were stratified in the models, and the effects of public health interventions were modeled through piecewise exponential functions. Time-dependent transmission rates and effective reproduction numbers were estimated. The associations of interventions and the numbers of required hospital and intensive care unit beds were studied. RESULTS The interventions of social distancing, home confinement, and wearing masks significantly decreased (in a Bayesian sense) the case incidence and reduced the demand for beds in all areas. Ohio’s transmission rates declined before the state’s “stay at home” order, which provided evidence that early intervention is important. Wearing masks was significantly associated with reducing the transmission rates after reopening, when comparing New York and Ohio. The centralized quarantine intervention in Hubei played a significant role in further preventing and controlling the disease in that area. The estimated rates that cured patients become susceptible in all areas were small (<0.0001), which indicates that they have little chance to get the infection again. CONCLUSIONS The series of public health interventions in three areas were temporally associated with the burden of COVID-19–attributed hospital use. Social distancing and the use of face masks should continue to prevent the next peak of the pandemic.


10.2196/25174 ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. e25174
Author(s):  
Xiaofeng Wang ◽  
Rui Ren ◽  
Michael W Kattan ◽  
Lara Jehi ◽  
Zhenshun Cheng ◽  
...  

Background Different states in the United States had different nonpharmaceutical public health interventions during the COVID-19 pandemic. The effects of those interventions on hospital use have not been systematically evaluated. The investigation could provide data-driven evidence to potentially improve the implementation of public health interventions in the future. Objective We aim to study two representative areas in the United States and one area in China (New York State, Ohio State, and Hubei Province), and investigate the effects of their public health interventions by time periods according to key interventions. Methods This observational study evaluated the numbers of infected, hospitalized, and death cases in New York and Ohio from March 16 through September 14, 2020, and Hubei from January 26 to March 31, 2020. We developed novel Bayesian generalized compartmental models. The clinical stages of COVID-19 were stratified in the models, and the effects of public health interventions were modeled through piecewise exponential functions. Time-dependent transmission rates and effective reproduction numbers were estimated. The associations of interventions and the numbers of required hospital and intensive care unit beds were studied. Results The interventions of social distancing, home confinement, and wearing masks significantly decreased (in a Bayesian sense) the case incidence and reduced the demand for beds in all areas. Ohio’s transmission rates declined before the state’s “stay at home” order, which provided evidence that early intervention is important. Wearing masks was significantly associated with reducing the transmission rates after reopening, when comparing New York and Ohio. The centralized quarantine intervention in Hubei played a significant role in further preventing and controlling the disease in that area. The estimated rates that cured patients become susceptible in all areas were small (<0.0001), which indicates that they have little chance to get the infection again. Conclusions The series of public health interventions in three areas were temporally associated with the burden of COVID-19–attributed hospital use. Social distancing and the use of face masks should continue to prevent the next peak of the pandemic.


Author(s):  
Zhu Liu ◽  
Hao Yin ◽  
Daniel Kammen

Abstract COVID-19 has caused an unprecedented public health crisis and economic shock to the global economy. After months of worldwide pause, countries and cities are facing growing pressure to lift restrictions on economic activity. The optimal reopening strategy may vary significantly between cities depending on their demographics and social mixing. In this study, we explore the interaction between population age structure and various containment interventions in four cities with different age distributions that have been or are currently local epicenters of the epidemic. Our model quantifies that earlier interventions avoided an additional 13%, 58%, 70% and 86% of the infections in Los Angeles, New York, Daegu and Nairobi, respectively, compared to what has been observed in the four cities. Critically, we find that not only can social-distancing policies exhibit strong age-differential effects, but that even age-targeted interventions can have significant spillovers. Specifically, 50% reduction in the contact rates of population under 20 and older than 60 avoids 5%, 11%, 11% and 28% of infection among the elderly than the policy targeting the older adults alone in New York, Daegu, Los Angeles and Nairobi, respectively. In particular, to protect the elderly, it is essential to increase social distancing among the younger population, especially those under 20 years old. An older population structure results in a higher fatality risk while might decrease the infection risk. This is particularly critical as colleges and universities, in both cities and small towns, plan for on-campus activities with students drawn from a globalized pool. An older population structure results in a higher fatality risk while might slightly decrease the infection risk. A higher basic reproduction number exacerbates the influence of an old population structure on the fatality risk of the elderly. The significant differences in susceptibility and severity by demographic characteristics calls for targeted interventions to suppress the spread of COVID-19.


2015 ◽  
Vol 18 (13) ◽  
pp. 2457-2467 ◽  
Author(s):  
Linnea I Laestadius ◽  
Mark A Caldwell

AbstractObjectiveTo understand current public perceptions of in vitro meat (IVM) in light of its potential to be a more environmentally sustainable alternative to conventional meat.DesignA qualitative content analysis of the comments made on online news articles highlighting the development of IVM and the world’s first IVM hamburger in August 2013.SettingNews article comment sections across seven US-based online news sources (The New York Times, The Los Angeles Times, The Washington Post, The Wall Street Journal, USA Today, Cable News Network and National Public Radio).SubjectsFour hundred and sixty-two commenters who made eight hundred and fourteen publicly available online comments addressing IVM.ResultsKey themes in commenter perceptions of IVM included environmental and public health benefits, but also negative themes such as IVM’s status as an unnatural and unappealing food. Overall, the tone of comments was more negative than positive.ConclusionsFindings suggest that while the environmental and public health motivations for developing and in turn consuming IVM resonate with some segments of the population, others find that reasoning both uncompelling and problematic. Concerns about IVM as an unnatural and risky product also appear to be a significant barrier to public acceptance of IVM. Supporters of IVM may wish to begin to develop a regulatory strategy for IVM to build public trust and explore messaging strategies that cast IVM as a new technology with benefits to individuals rather than primarily a solution to global challenges. Those in the public health nutrition field can make an important contribution to the emerging public discussion about IVM.


2020 ◽  

Coronavirus disease-19 (COVID-19) has created a public health emergency and had claimed 911,877 lives at the time of writing this manuscript (September 12, 2020). While everybody is at the risk of acquiring infection following the exposure to SARS-CoV-2, older adults are significantly more likely to experience severe illness, life-threatening complications, hospitalizations, and deaths. As the pandemic evolved, social distancing or shielding efforts as primary prevention were instituted to protect the physical health status of the vulnerable population, with no or limited consideration to the psychological health of the older population. Social isolation and loneliness are the long-standing public health concerns among older adults, which appear to be exacerbating amidst the COVID-19 pandemic. Given the pre-existing risk of late-life psychiatric disorders among older individuals, it is critical to determine challenges posed by COVID-19 and associated social distancing protocols as it relates to the psychosocial well-being of the aging population. Such information is imperative to design targeted interventions to fulfill the unmet needs of the older population. Therefore, this review endeavors to identify the healthcare and emotional needs of the aging population during the COVID-19 pandemic in the context of psychological health and social capital. Additionally, this review also identifies the barriers in the uptake of telepsychiatry and highlights the need for promoting remote counseling services among older people to promote their psychosocial well-being.


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