<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Advocating for Greater Inclusion of Marginalized and Forgotten Populations in COVID19 Vaccine Rollouts."
Abstract:"Objectives: Many countries recently approved a number of SARS-CoV-2 vaccines. There is therefore growing optimism around the world about their future availability and effectiveness. However, supplies are likely to be limited and restricted to certain categories of individuals, at least initially. Thus, governments have suggested prioritization schemes to allocate such limited supplies. The majority of such schemes are said to be developed to safeguard the weakest sections of society; that is, healthcare personnel and the elderly. Methods: In this work, we analyse three case studies (incarcerated people; homeless people, asylum seekers and undocumented migrants). We propose a bioethical argument that frames the discussion by describing the salient facts about each of the three populations and then argue that these characteristics entail inclusion and prioritization in the queue for vaccination in their country of residence. Results: Through an analysis informed by ethical considerations revolving around the concepts of fairness and equality, we try to raise awareness of these important issues among decision makers. Conclusion: Our goal is to advocate for the development of more inclusive policies and frameworks in SARS-CoV-2 vaccine allocation and, in general, in all scenarios in which there is a shortage of optimal care and treatments.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0].
Advocating for Greater Inclusion of Marginalized and Forgotten Populations in COVID19 Vaccine Rollouts
Objectives: Many countries recently approved a number of SARS-CoV-2 vaccines. There is therefore growing optimism around the world about their future availability and effectiveness. However, supplies are likely to be limited and restricted to certain categories of individuals, at least initially. Thus, governments have suggested prioritization schemes to allocate such limited supplies. The majority of such schemes are said to be developed to safeguard the weakest sections of society; that is, healthcare personnel and the elderly. Methods: In this work, we analyse three case studies (incarcerated people; homeless people, asylum seekers and undocumented migrants). We propose a bioethical argument that frames the discussion by describing the salient facts about each of the three populations and then argue that these characteristics entail inclusion and prioritization in the queue for vaccination in their country of residence. Results: Through an analysis informed by ethical considerations revolving around the concepts of fairness and equality, we try to raise awareness of these important issues among decision makers. Conclusion: Our goal is to advocate for the development of more inclusive policies and frameworks in SARS-CoV-2 vaccine allocation and, in general, in all scenarios in which there is a shortage of optimal care and treatments.