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Learning Through the Social Conditions Experienced by Orphans During #Covid-19 with Social Media Mining

https://doi.org/10.2139/ssrn.4762168
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GENSIM 2.0: A Customizable Process Simulation Model for Software Process Evaluation
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How can we improve healthcare access and general self-rated health among orphans and vulnerable children? Findings from a Kenyan cross-sectional study
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Towards a Definition of Orphaned and Vulnerable Children
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Data-informed recommendations for services providers working with vulnerable children and families during the COVID-19 pandemic
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Risk factors of orphan and vulnerable children in a children’s home during the COVID-19 pandemic
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Recreational and philanthropic sectors are the worst-hit US industries in the COVID-19 aftermath
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Children orphaned by COVID-19: A grim picture and the need of urgent actions
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Global minimum estimates of children affected by COVID-19-associated orphanhood and deaths of caregivers: a modelling study
inferredcites →https://doi.org/10.1016/s0140-6736(21)01446-xopenalex-extracted
Answering the call to support youth orphaned by COVID-19
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The weighted average information criterion for order selection in time series and regression models
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Online mental health services in China during the COVID-19 outbreak
inferredcites →https://doi.org/10.1016/s2352-4642(22)00031-1openalex-extracted
Integrative approaches required to support children affected by COVID-19
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Risk and resilience during COVID-19: A new study in the Zigler paradigm of developmental science
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Health and nutritional status of orphans <6 years old cared for by relatives in western Kenya
inferredcites →https://doi.org/10.1073/pnas.2007658117openalex-extracted
Economic and social consequences of human mobility restrictions under COVID-19
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Identifying #Addiction Concerns on Twitter during the Covid-19 Pandemic: A Text Mining Analysis
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#Ebola: Tweeting and Pinning an Epidemic
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The Challenges of Matching Corporate Donations to Humanitarian Needs and the Role of Brokers
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Tweeting on COVID-19 pandemic in South Africa: LDA-based topic modelling approach
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A Systematic Review and Meta-Analysis of Interventions for Orphans and Vulnerable Children Affected by HIV/AIDS Worldwide
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Tweets, Google trends, and sovereign spreads in the GIIPS
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A Linear Poisson Autoregressive Model: The Poisson AR(p) Model
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Twitter users’ coping behaviors during the COVID-19 lockdown: an analysis of tweets using mixed methods
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Sociocultural behavioral traits in modelling the prediction of COVID-19 infection rates
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The Evaluation of the Public Opinion - A Case Study: MERS-CoV Infection Virus in KSA
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The Case for Mixed Emotions
inferredcites →https://doi.org/10.1145/1348549.1348556openalex-extracted
Why we twitter
inferredcites →https://doi.org/10.1145/1553374.1553515openalex-extracted
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Evaluating topic models for digital libraries
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Termite
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Predicting Spatial Spread on Social Media
inferredcites →https://doi.org/10.1146/annurev.an.15.100186.002201openalex-extracted
The Anthropology of Emotions
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Child Welfare Research: A Review and Critique
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“Of Course We Need to Help the Undocumented Immigrants!”: Twitter Discourse on the (Un)deservingness of Undocumented Immigrants in the United States during the COVID-19 Pandemic
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Willingness to volunteer and readiness to practice of undergraduate medical students during the COVID-19 pandemic: a cross-sectional survey in Indonesia
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Poisson Autoregression
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inferredcites →https://doi.org/10.1371/journal.pgph.0000317openalex-extracted
COVID-19 orphans—Global patterns associated with the hidden pandemic
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Automatic Text Summarization
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Semantic Recommender System Based on Semantic Similarity Using FastText and Word Mover’s Distance
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Sur l'impact socio-économique des pandémies en Afrique : Leçons tirées du COVID-19, de la trypanosomiase, du VIH, de la fièvre jaune, du choléra
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Consequences of Lockdown During COVID-19 Pandemic in Lifestyle and Emotional State of Children in Argentina
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Long Term Effects of the COVID-19 Pandemic on Social Concerns
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Coronavirus Pandemic (COVID-19)
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Children Orphaned Due to COVID-19 Pandemic
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Surveys In Social Research
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Twitter discussions and emotions about COVID-19 pandemic: a machine learning approach
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NLTK: The Natural Language Toolkit
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A Comprehensive Study on Lexicon Based Approaches for Sentiment Analysis
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Children Have Faced Several Challenges: Analyzing Reports of Children Who Became Orphans Caused by COVID-19
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A collaborative approach to COVID-19 response: The Center for Environmental Farming Systems community-based food system initiatives
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A systems approach to navigating food security during COVID-19: Gaps, opportunities, and policy supports
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Chinese medical students’ interest in COVID-19 pandemic
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Latent dirichlet allocation
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Latent Dirichlet Allocation
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Sentiment Analysis of the CIA World Factbook
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