Geospatial analysis of environmental atmospheric risk factors in neurodegenerative diseases: a systematic review update

Table 2 Article forms’ options regarding multiple-choice domains

Domain	Options
Study limitations	None given by the authors	Interpolation	Statistical bias
	Conflict of interests	Memory bias	Study design issues
	Confounding factors	Migration of patients	Survival bias
	Ecological bias	Referral bias	Time-related bias
	Exposure assessment	Sampling bias	Unassessed patients
Study design	Case control	Cross-sectional	Methodological
Study design	Cohort	Ecological	Review
Statistical methods	None	Chi-squared	Poisson regression
	Correlation	Linear regression	Spatial autoregressive
	T-test	Logistic regression	Clustering
	ANOVA	Cox regression	Sensitivity analysis
Measurements	Prevalence	Relative risk	Hazard ratio
Measurements	Correlation	Odds ratio	Coefficients
Neuro disease (NEURO)	Amyotrophic lateral sclerosis	Multiple sclerosis	Parkinson
Neuro disease (NEURO)	Paediatric multiple sclerosis	Motor neuron disease	Dementia
Environmental factor (ENV)	Sun exposure	Index	CO
	Temperature	PM₁₀	O₃
	Precipitation	PM_2.5	Cu
	Humidity	NO_x	Pb
	Pressure	SO₂
Geographic approach (GEO)	Administrative	Latitude	Remote sensing
	Clustering	Longitude	Spatial interpolation
	GIS	Residence
Type of GEO	Compare GEO	Compute ENV	Predict NEURO

CO carbon monoxide, Cu copper, NO_X nitrogen oxides, O₃ ozone, Pb lead, PM_2.5 particulate matter (diameter < 2.5 µm), PM₁₀ particulate matter (diameter < 10 µm), SO₂ sulphur dioxide

ISSN: 2046-4053