Queer, brown, migrant: documenting the Hong Kong ‘Helper’

Patterson, Christopher B.

doi:10.1080/09502386.2019.1660695

Cited by 5 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Even in films, the plights of migrant workers were being depicted such as in the cases of Flor Contemplación, an overseas worker who was executed in Singapore for allegedly murdering a fellow Filipino (Ignacio, 2004); Sarah Balabagan, a Filipino domestic worker who was imprisoned and initially sentenced to death for murdering her male employer but eventually freed (Juan, 2011); and Sunday Beauty Queen, a Filipino documentary that portrayed the lives of Filipino domestic helpers and their diasporic communities in Hong Kong (Patterson, 2019). Non-fiction films also portrayed various stories of OFW, which showcased hard work, perseverance, sacrifices and love for their families like in the movies "Anak" (2000), "Milan" (2004), "Dubai" (2005), "Caregiver" (2008), "In My Life" (2009), "A Mother's Story" (2012), "Barcelona: A Love Untold" (2016); "Kita Kita" (2017), "Bagahe" (2017), "Maid In London" (2018), and the recent box-office hit and Philippines' highest-grossing film of alltime, "Hello, Love, Goodbye" (2019).…”

Section: Results and Discussion Migration And Diaspora In The Philippine Society: A Personal Experiencementioning

confidence: 99%

Mapping the ‘home’: A literature review on Filipino migration and diaspora

Pacoma

2020

Indonesian Journal of Communications Studies

View full text Add to dashboard Cite

This article aimed to present a comprehensive literature review on Philippine migration and diaspora. Diaspora is not a new concept for Filipinos; they have been constantly connected to migration, one of the interconnected aspects of the global workforce. Diaspora and migration as common household terms can be traced back from the first overseas Filipino farmworkers in Hawaii in the middle of 1900s to the presently relocated skilled workers and domestic helpers in the Middle East countries and various Asian countries. The author intended to provide a better understanding of existing researches and debates on the topic and evaluate their relationship with the current research study. More so, the essay was intended to identify the research gaps arising from previous scholarly writings, which was beneficial to the author as he embarks in research on Filipino migration and diaspora. Research gaps serve several purposes for the possible direction of future research projects. Most of the literature focused on the reasons of migration; migration narratives and experiences; homeland media consumption; the role of digital technologies and social media in fostering transnational families’ relationships and reinforcing migrant workers’ national and cultural identities. In terms of the approaches, participant observation, interview and digital ethnography were the employed research methodologies.

show abstract

Section: Results and Discussion Migration And Diaspora In The Philippine Society: A Personal Experiencementioning

confidence: 99%

Mapping the ‘home’: A literature review on Filipino migration and diaspora

Pacoma

2020

Indonesian Journal of Communications Studies

View full text Add to dashboard Cite

show abstract

“…We set 39,9320 FDHs among the home working agents according to the statistics of Immigration Department in 2019 5 . We set FDHs gather on Sundays in public areas [14], and thus represent the potential risk of localized outbreaks. The information of workplaces and educational facilities is obtained from the previous study and opened data from the public sector.…”

Section: Methodsmentioning

confidence: 99%

Sustainable targeted interventions to mitigate the COVID-19 pandemic: A big data-driven modeling study in Hong Kong

Zhou

Zhang

Cao

et al. 2021

Preprint

View full text Add to dashboard Cite

BackgroundThe nonpharmaceutical interventions (NPIs) for contact suppression have been widely used worldwide, which impose harmful burdens on the population and the local economy. The evaluation of alternative NPIs is needed to confront the pandemic with less disruption. By harnessing human mobility data, we develop an agent-based model that can evaluate the efficacies of NPIs with individualized mobility simulations. Based on the model, we propose the data-driven targeted interventions to mitigate the COVID-19 pandemic in Hong Kong without city-wide NPIs.MethodsWe develop a data-driven agent-based model for 7.55 million Hong Kong residents to evaluate the efficacies of various NPIs in the first 80 days of the initial outbreak. The entire territory of Hong Kong is split into 4,905 500m×500m grids. The model can simulate detailed agent interactions based on the demographics data, public facilities and functional buildings, transportation systems, and travel patterns. The general daily human mobility patterns are adopted from Google’s Community Mobility Report. The scenario without any NPIs is set as the baseline. By simulating the epidemic progression and human movement at the individual level, we proposed model-driven targeted interventions, which focus on the surgical testing and quarantine of only a small portion of regions instead of enforcing NPIs in the whole city. The efficacious of common NPIs and the proposed targeted interventions are evaluated by extensive Monte Carlo simulations.FindingsWithout NPIs, we estimate that there are 128,711 total infections (IQR 23,511-70,310) by the end of the 80-day simulation. The proposed targeted intervention averts 95.85% and 94.13% of baseline infections with only 100 (2.04%) and 50 (1.02%) grids being quarantined, respectively. Mild social distancing without testing results in 16,503 total cases (87.18% infections averted), rapid implementation of full lockdown and testing measures (such as the control measure in Mainland China) performs the best, with only 805 infections (99.37% infections averted). Testing-and-quarantining 10%, 20%, 50% of all symptomatic cases with 24-hour/48-hour avert 89.92%/ 87.78%, 95.47%/ 92.42%, and 97.93%/ 95.61% infections, respectively.InterpretationBig data-driven mobility modeling can inform targeted interventions, which are able to effectively contain the COVID-19 outbreak with much lower disruption of the city. It represents a promising approach to sustainable NPIs to help us revive the economy of the city and the world.

show abstract

“…We set 39,9320 FDHs among the home working agents according to the statistics of the Immigration Department in 2019 [18]. We set FDHs gather on Sundays in public areas [19], and thus represent the potential risk of localized outbreaks.…”

Section: A Synthetic Population and Their Movement Behaviormentioning

confidence: 99%

Sustainable targeted interventions to mitigate the COVID-19 pandemic: A big data-driven modeling study in Hong Kong

Zhou

Zhang

Cao

et al. 2021

Chaos: An Interdisciplinary Journal of Nonlinear Science

View full text Add to dashboard Cite

Nonpharmaceutical interventions (NPIs) for contact suppression have been widely used worldwide, which impose harmful burdens on the well-being of populations and the local economy. The evaluation of alternative NPIs is needed to confront the pandemic with less disruption. By harnessing human mobility data, we develop an agent-based model that can evaluate the efficacies of NPIs with individualized mobility simulations. Based on the model, we propose data-driven targeted interventions to mitigate the COVID-19 pandemic in Hong Kong without city-wide NPIs. We develop a data-driven agent-based model for 7.55×106 Hong Kong residents to evaluate the efficacies of various NPIs in the first 80 days of the initial outbreak. The entire territory of Hong Kong has been split into 4905 500×500m2 grids. The model can simulate detailed agent interactions based on the demographics data, public facilities and functional buildings, transportation systems, and travel patterns. The general daily human mobility patterns are adopted from Google’s Community Mobility Report. The scenario without any NPIs is set as the baseline. By simulating the epidemic progression and human movement at the individual level, we propose model-driven targeted interventions which focus on the surgical testing and quarantine of only a small portion of regions instead of enforcing NPIs in the whole city. The effectiveness of common NPIs and the proposed targeted interventions are evaluated by 100 extensive simulations. The proposed model can inform targeted interventions, which are able to effectively contain the COVID-19 outbreak with much lower disruption of the city. It represents a promising approach to sustainable NPIs to help us revive the economy of the city and the world.

show abstract

Queer, brown, migrant: documenting the Hong Kong ‘Helper’

Cited by 5 publications

References 24 publications

Mapping the ‘home’: A literature review on Filipino migration and diaspora

Mapping the ‘home’: A literature review on Filipino migration and diaspora

Sustainable targeted interventions to mitigate the COVID-19 pandemic: A big data-driven modeling study in Hong Kong

Sustainable targeted interventions to mitigate the COVID-19 pandemic: A big data-driven modeling study in Hong Kong

Contact Info

Product

Resources

About