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"original_study": {
"claim": {
"hypothesis": "The introduction of social distancing measures is associated with a decrease in mobility.",
"hypothesis_location": "The relation is mentioned in the first paragraph and explicitly stated in third (the paper has only four paragraphs) where the results are reported.",
"statement": "Social distancing measures decreased the mobility by anadditional 23% (95% CI: 20%, 27%).",
"statement_location": "Third paragraph with results.",
"study_type": "Observational"
},
"data": {
"source": "Citymapper Mobility Index (CMI) for mobility data; it is mentioned that the data on implementation of governmental social distancing measures was acquired from official government and media websites but specific sources are not mentioned.",
"wave_or_subset": "March 2, 2020 to March 26, 2020",
"sample_size": "1,025 observations across 41 cities (25 observations per city)",
"unit_of_analysis": "mobility (per city)",
"access_details": "presumably that data from Citymapper is publicly available as well as the data ","from official government and media websites": "as no restrictions or permissions are mentioned and the authors explain that they downloaded the data.",
"notes": "It is explained that the data on governmental social distancing measures were obtained from official government and media websites, but the specific variables or data fields collected were not described."
},
"method": {
"description": "The study probed the effect of governmental social distancing measures on reducing mobility in 41 cities.",
"steps": "1. The authors downloaded mobility data from the Citymapper Mobility Index and unspecified data on the implementation of governmental social distancing measures from unspecified official government and media websites. \n2. Then, they classified each city as having instituted social distancing measures if non-essential businesses were closed\n3. Further classified measures as moderate or intense based on the intensity of closure.\n4. Finally, they estimated the effect of time and social distancing measures using a multilevel mixed-effects linear regression model.",
"models": "multilevel mixed-effects linear regression model",
"outcome_variable": "mobility",
"independent_variables": "time (in days), social distancing measures presence, intensity of social distancing measures (moderate, intense).",
"control_variables": "not stated; there are probably none, judgung by the results section but the authors obtained some data on governmental social distancing measures and the specific variables or data fields collected were not described.",
"tools_software": "not stated"
},
"results": {
"summary": "The mobility in general decreased in the discussed period. Social distancing measures decreased the mobility by an additional 23% (95% CI: 20%, 27%).",
"numerical_results": [
{
"outcome_name": "mobility",
"value": "23",
"unit": "%",
"effect_size": "not stated",
"confidence_interval": {
"lower": "20%",
"upper": "27%",
"level": "95%"
},
"p_value": "not stated",
"statistical_significance": "not stated",
"direction": "negative"
}
]
},
"metadata": {
"original_paper_id": "https://doi.org/10.1101/2020.03.30.20048090",
"original_paper_title": "COVID-19 related social distancing measures and reduction in city mobility.",
"original_paper_code": "not stated",
"original_paper_data": "not stated"
}
}
}
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