<|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:"Healthcare (im)mobilities and the Covid-19 pandemic: Notes on returning to the field."
Abstract:"This article proposes a mobilities-informed approach to social science research on healthcare and migration. It engages with evidence gathered during the Covid-19 pandemic that suggests that when confronted with a public health emergency, health systems can be responsive to the needs of mobile populations. During the Covid-19 lockdowns, health resources shifted routine services online, spurring an acceleration of telemedicine. The roll-out of these practices intersected with the phenomenon of digital exclusion, making healthcare partly or completely out of reach for those who could not connect. We argue that these efforts could have been more successful if they grew out of a recognition of healthcare's 'sedentary bias'. National health systems are configured to serve settled populations. They are not designed for people on the move, with uncertain residential and immigration status. Yet this bias can be alleviated when health interventions are rethought from the point of view of the mobile patient.."
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 = [2];
Q3 = [2];
Q4 = [];
Q5 = [1];
Q6 = [0].
Healthcare (im)mobilities and the Covid-19 pandemic: Notes on returning to the field
This article proposes a mobilities-informed approach to social science research on healthcare and migration. It engages with evidence gathered during the Covid-19 pandemic that suggests that when confronted with a public health emergency, health systems can be responsive to the needs of mobile populations. During the Covid-19 lockdowns, health resources shifted routine services online, spurring an acceleration of telemedicine. The roll-out of these practices intersected with the phenomenon of digital exclusion, making healthcare partly or completely out of reach for those who could not connect. We argue that these efforts could have been more successful if they grew out of a recognition of healthcare's 'sedentary bias'. National health systems are configured to serve settled populations. They are not designed for people on the move, with uncertain residential and immigration status. Yet this bias can be alleviated when health interventions are rethought from the point of view of the mobile patient.