scholarly journals Spatio-Temporal Distribution of Negative Emotions in New York City After a Natural Disaster as Seen in Social Media

2018 ◽  
Vol 15 (10) ◽  
pp. 2275 ◽  
Author(s):  
Oliver Gruebner ◽  
Sarah Lowe ◽  
Martin Sykora ◽  
Ketan Shankardass ◽  
SV Subramanian ◽  
...  
Keyword(s):  
New York ◽  
Social Media ◽  
New York City ◽  
Natural Disaster ◽  
York City ◽  
Negative Emotions ◽  
Temporal Distribution ◽  
Census Tracts ◽  
Post Disaster ◽  
Over Time

Disasters have substantial consequences for population mental health. We used Twitter to (1) extract negative emotions indicating discomfort in New York City (NYC) before, during, and after Superstorm Sandy in 2012. We further aimed to (2) identify whether pre- or peri-disaster discomfort were associated with peri- or post-disaster discomfort, respectively, and to (3) assess geographic variation in discomfort across NYC census tracts over time. Our sample consisted of 1,018,140 geo-located tweets that were analyzed with an advanced sentiment analysis called ”Extracting the Meaning Of Terse Information in a Visualization of Emotion” (EMOTIVE). We calculated discomfort rates for 2137 NYC census tracts, applied spatial regimes regression to find associations of discomfort, and used Moran’s I for spatial cluster detection across NYC boroughs over time. We found increased discomfort, that is, bundled negative emotions after the storm as compared to during the storm. Furthermore, pre- and peri-disaster discomfort was positively associated with post-disaster discomfort; however, this association was different across boroughs, with significant associations only in Manhattan, the Bronx, and Queens. In addition, rates were most prominently spatially clustered in Staten Island lasting pre- to post-disaster. This is the first study that determined significant associations of negative emotional responses found in social media posts over space and time in the context of a natural disaster, which may guide us in identifying those areas and populations mostly in need for care.

scholarly journals Three months of informational trends in COVID-19 across New York City

2020 ◽  
Vol 42 (3) ◽  
pp. 448-450
Author(s):  
Wil Lieberman-Cribbin ◽  
Naomi Alpert ◽  
Adam Gonzalez ◽  
Rebecca M Schwartz ◽  
Emanuela Taioli
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Information Seeking ◽  
New York State ◽  
Search Term ◽  
Multiple Sources ◽  
The Usa ◽  
Trend Data ◽  
Over Time

Abstract In the midst of widespread community transmission of coronavirus disease 2019 (COVID-19) in New York, residents have sought information about COVID-19. We analyzed trends in New York State (NYS) and New York City (NYC) data to quantify the extent of COVID-19-related queries. Data on the number of 311 calls in NYC, Google Trend data on the search term ‘Coronavirus’ and information about trends in COVID-19 cases in NYS and the USA were compiled from multiple sources. There were 1228 994 total calls to 311 between 22 January 2020 and 22 April 2020, with 50 845 calls specific to COVID-19 in the study period. The proportion of 311 calls related to COVID-19 increased over time, while the ‘interest over time’ of the search term ‘Coronavirus’ has exponentially increased since the end of February 2020. It is vital that public health officials provide clear and up-to-date information about protective measures and crucial communications to respond to information-seeking behavior across NYC.

scholarly journals Temporal Trends in COVID-19 associated AKI from March to December 2020 in New York City

2021 ◽  
Author(s):  
Sergio Dellepiane ◽  
Akhil Vaid ◽  
Suraj K Jaladanki ◽  
Ishan Paranjpe ◽  
Steven Coca ◽  
...  
Keyword(s):  
United States ◽  
New York ◽  
Acute Kidney Injury ◽  
New York City ◽  
Renal Replacement Therapy ◽  
York City ◽  
Temporal Trends ◽  
Kidney Injury ◽  
Clinical Approach ◽  
Over Time

AbstractAcute Kidney Injury (AKI) is among the most common complications of Coronavirus Disease 2019 (COVID-19). Throughout 2020 pandemic, the clinical approach to COVID-19 has progressively improved, but it is unknown how these changes have affected AKI incidence and severity. In this retrospective analysis, we report the trend over time of COVID-19 associated AKI and need of renal replacement therapy in a large health system in New York City, the first COVID-19 epicenter in United States.

Calculating Age-Standardized Death Rates Among People With HIV Comparable Across Jurisdictions and Over Time

2021 ◽  
Vol 111 (1) ◽  
pp. 121-126
Author(s):  
Qiang Xia ◽  
Ying Sun ◽  
Chitra Ramaswamy ◽  
Lucia V. Torian ◽  
Wenhui Li
Keyword(s):  
United States ◽  
New York ◽  
New York City ◽  
York City ◽  
Death Rate ◽  
Age Distribution ◽  
The United States ◽  
Local Health ◽  
Death Rates ◽  
Over Time

The Centers for Disease Control and Prevention (CDC) and local health jurisdictions have been using HIV surveillance data to monitor mortality among people with HIV in the United States with age-standardized death rates, but the principles of age standardization have not been consistently followed, making age standardization lose its purpose—comparison over time, across jurisdictions, or by other characteristics. We review the current practices of age standardization in calculating death rates among people with HIV in the United States, discuss the principles of age standardization including those specific to the HIV population whose age distribution differs markedly from that of the US 2000 standard population, make recommendations, and report age-standardized death rates among people with HIV in New York City. When we restricted the analysis population to adults aged between 18 and 84 years in New York City, the age-standardized death rate among people with HIV decreased from 20.8 per 1000 (95% confidence interval [CI] = 19.2, 22.3) in 2013 to 17.1 per 1000 (95% CI = 15.8, 18.3) in 2017, and the age-standardized death rate among people without HIV decreased from 5.8 per 1000 in 2013 to 5.5 per 1000 in 2017.

scholarly journals A Taxonomic Checklist and Relative Abundance of the Mosquitoes of New York City

2018 ◽  
Vol 34 (2) ◽  
pp. 138-142 ◽  
Author(s):  
Waheed I. Bajwa
Keyword(s):  
New York ◽  
Invasive Species ◽  
New York City ◽  
Species Diversity ◽  
Relative Abundance ◽  
York City ◽  
Culex Pipiens ◽  
The City ◽  
Prevalent Species ◽  
Over Time

ABSTRACT This is the 1st time that a comprehensive checklist of the mosquitoes of New York City has been compiled. This list is based on an arrayed collection of 2.3 million mosquitoes trapped and identified from 1,369 locations in the city between 2000 and 2017. Forty-seven species and 6 subspecies were identified belonging to 9 mosquito genera. Culex pipiens was the most prevalent species, most frequently encountered throughout the city. Over time, species diversity in the genus Aedes has increased from 10 species in the 1930s to 23 species in the recent surveys (2000–17). Invasive species Aedes albopictus and Ae. japonicus japonicus, which were rare in 2000, are now well established in all 5 boroughs of the city.

Aesthetics, Repertoire, Roles, and Playbills

2017 ◽  
Author(s):  
Nancy Yunhwa Rao
Keyword(s):  
New York ◽  
New York City ◽  
San Francisco ◽  
Performance Practice ◽  
North American ◽  
York City ◽  
Chinese Opera ◽  
Cantonese Opera ◽  
Popular Novel ◽  
Over Time

This chapter provides a survey of Cantonese opera, its connection to other genres of Chinese opera, its music, repertoire, vocal style, accompanying instruments, etc. Because the performance practice changed over time, this chapter draws from a wealth of primary and secondary documents to offer a working knowledge of Cantonese opera as it was practiced in North American during the 1920s. Over 1000 Chinese playbills from San Francisco, New York City, Vancouver, Seattle and Havana between 1917 and 1929 provide the foundation for understanding the popular repertoire during the time. In addition, commentaries in Chinese newspapers, as well as memoirs and oral histories from veteran performers reveal much about the historical performance practice. Taken together, these resources form the basis of an understanding of the Cantonese opera in this period ranging from the increased usage of stage backdrops and stage props, a gradual shift of popular role types and vocal styles, and popular novel repertoire types. A reflection on the significance of daily opera playbill closes the chapter.

Interview with Paul Schrader conducted by Michelle E. Moore and Brian Brems on 9/27/2018 at the Rail Line Diner, NYC

2020 ◽  
pp. 209-230
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Taxi Driver ◽  
Stylistic Evolution ◽  
Auteur Theory ◽  
Rail Line ◽  
Insight Into ◽  
Over Time ◽  
Film Critic

This career spanning interview with writer/director/film critic Paul Schrader was conducted in New York City in September 2018. During the wide-ranging conversation, Schrader reflects on his filmography, weighs in on the validity of the auteur theory, offers insight into his approach to writing and directing, draws distinctions between being a film artist and a film critic, and tells interesting stories from his life in the cinema. He discusses his most important contributions to film, including the screenplay for Taxi Driver, his stylistic evolution beginning with American Gigolo, and his celebrated film First Reformed. He also provides trenchant observations about the state of the cinema and how the film business has changed over time, insights offered with his typically unvarnished candor.

Social dynamics of Twitter usage in London, Paris, and New York City

First Monday ◽  
2014 ◽  
Author(s):  
Muhammad Adnan ◽  
Paul A. Longley ◽  
Shariq M. Khan
Keyword(s):  
New York ◽  
Social Media ◽  
New York City ◽  
Ethnic Identity ◽  
York City ◽  
Social Dynamics ◽  
Activity Patterns ◽  
Twitter Users ◽  
And Gender ◽  
Use Of Social Media

The penetration and use of social media services differs from city to city. This paper investigates the social dynamics of Twitter social media usage in three ethnically diverse cities — London, Paris, and New York City. We present a spatial analysis of Tweeting activity in the three cities, broken down by ethnicity and gender. We model the ethnic identity of Twitter users using their paired forenames and surnames. The geo–tagged Tweets provide an insight into the geography of their activity patterns across the three cities. The gender of each Twitter user is identified through classification of forenames, suggesting that, irrespective of the ethnic identity, the majority of Twitter users are male. Taken together, the results present a window on the activity patterns of different ethnic groups.

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