Baseline/France

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Edouard

https://www.data.gouv.fr/storage/f/2014-06-06T18-49-38/c-users-py-letournel-desktop-paser2006sa0361-an01.pdf

! Par "inter-regions" (cf p3) et 2006

exposition au plomb (µg/kg pc/day)

alcohol drinkers

alcohol consumption (mL/day)

bread eaters

bread consumption (g/day)

water drinkers

drink water consumption (mL/day)

milk drinkers

milk consumption (mL/day)

soft drinks drinkers 

soft drinks consumption (mL/day)

Exposure to cadmium (µg/kg pc/day)

Exposure to arsenic (inorganic; (µg/kg pc/day)

Exposure to aluminium (µg/kg pc/day)

Exposure to methylmercure in food (µg/kg pc/day)

Exposure to sodium in food (g/day)

Exposure to dioxines in food (pg TEQOMS-98/kg pc/day)

Exposure to dioxines in food ( pg TEQOMS-05/kg pc/day)

fish eaters

fish consumption (g/day)

butter eaters

butter consumption (g/day)

Exposure to deoxynivalenol in food (ng/kg pc/day)

Exposure to acrylamide (µg/kg pc/day)

French fries or fried potatoes eaters

Consumption of french fries or fried potatoes (g/day)

Coffee drinkers

Coffee consumption (g/day)

buiscuit eaters

biscuit consumption (g/day)

Exposure to sulfites (µg/kg pc/day)

plomb p5 http://www.onb-france.com/actualites/departements-classes-en-zone-risque-dexposition-au-plomb

Laurence et François, et Peter

  • France_world_adj_cancer_mortality is the cancer mortality risk (age-adjusted with population-world coefficient) by gender, department /region(*), organ, date
    • (*) @Peter to stack the same table by region
  • France_world_adj_cancer_mortality_prepared enriches it with various tables that exist within Data Science Studio
    • @LouF to check
  • Fr2 adds tonnages_collectes_OMR_python_new_prepared and Potential_radon
    • @LouF to check
  • Fr3 adds tonnages_dangereux_dechetterie_python
    • @LouF to check
  • Fr4 adds tonnages_collectes_DMA_python and principaux_emetteurs_python_new
    • @LouF to check
  • Fr5 adds tonnages_dangereux_DMA_python
    • LouF: verified! (join: ok, columns added: ok but perperson needed)
    • => variables: DMA_pperson_2009 and Evolution2007_2009
  • Fr7 adds cigarettes_python and taux_CMUiste_par_dep
    • @Peter to remove Fr6
    • @LouF to check
  • Fr8 adds seuil_benzene_python
  • Fr13 adds France_Etats_des_eaux_souterraines_prepared_by_N_dpt
    • @Peter to remove Fr9 10 11 12 and the strange things out of 11 and 12
    • @LouF to check
  • Fr15 adds médecin_python_prepared
    • @Peter to remove F14
    • @LouF to check
  • Fr19 adds Chomage_France_prepared
    • @Peter to remove Fr16 17 18
    • @LouF to check

To be added in one of the receipes of Fr2 ... Fr19:

LouF? result: useful to include? yes/no/to investigate/under investigation. if yes, were included and details
population_hommes_prepared_prepared
2_TOUS_CANCERS
rejets_polluants_eau_python_new rejets_polluants_eau_python
Depassement_seuil_pollution_benzene_prepared
seuil_particules_python
centrales_thermiques_python_new ou Centrales_thermiques_prepared
categories_immatriculations_python
Immatriculations_vehicules_neufs_cat_prepared , voitures_immatriculations_python, Immatriculations_vehicules_neufs_emissions_prepared2, voitures_menage_python parc_auto_python
medecin_python

@Peter, create Fr_JS etc (it can be a renaming of Fr2 Fr3 etc) for the following and indicate it to the right persons

Joseph Sébastien & Jülide & Aurélien & Aurélie

The following factors (and potentially others) should be search at https://www.data.gouv.fr/fr/search/?q=arsenic

GROUPS SUB-GROUPS google traduction en Français Who? (JS / Jü / Aurélien /Aurélie) + status: website & url, or "not found"
Age Age
Arsenic, metals, fibres and dusts Arsenic
Asbestos (Chrysotile, amosite, crocidolite, tremolite,

actinolite, anthophyllite)

amiante (chrysotile, amosite, crocidolite, trémolite,
actinolite, anthophyllite)
Beryllium
Béryllium
Cadmium
Chromium
Chrome
Crystalline Silica (respirable size)
silice cristalline
Erionite
Hexavalent Chromium Compounds
Chrome hexavalent
Indoor Emissions from the Household Combustion of Coal
Émissions en intérieur, de la combustion du charbon des ménages
Leather dust
poussière de cuir
Nickel
Thorium
Poussière de bois
Wood Dust
Diet non-Antioxidants
Artificial sweeteners (e.g. aspartame)
Édulcorants artificiels (par exemple l'aspartame)
non-Calcium
Charred meat
viande carbonisée
non-Cruciferous vegetables légumes non crucifères
non-Garlic
non-ail
Fluoride
Fluorure
non-Tea
non-Vitamin D
Hormones Starting menstruation early
Going through menopause late
Being older at first pregnancy
Never having given birth
Immunosuppression Transplants
Human Immunodeficiency Virus (HIV)
Infectious Agents Human Papillomaviruses (HPVs)
Hepatitis C Virus (HCV)
Hepatitis B Virus (HBV)
Human T-cell Leukemia/Lymphoma Virus Type 1 (HTLV-1)
Human Immunodeficiency Virus (HIV)
Epstein-Barr Virus (EBV)
Human Herpesvirus 8 (HHV8)
Merkel Cell Polyomavirus (MCPyV)
Helicobacter pylori (H. pylori)
Schistosoma hematobium
Opisthorchis viverrini
Clonorchis Sinensis
Radiation Radon
Neutron
Internalized alpha-particule or beta-particle emitting radionuclides
X-Rays and gamma-radiation
Solar and ultraviolet (UV) radiation
Pharmaceuticals Azathioprine
Busulfan
Chlorambucil
Chlornaphazine
Ciclosporin
Cyclophosphamide
Diethylstilbestrol
Etoposide associated with cisplatin and bleomycin
Melphalan
Methoxsalen plus ultraviolet A radiation
Methyl-CCNU
MOPP
Phenacetin
Tamoxifen
Thiotepa
Treosulfan
Estrogen-only menopausal therapy
Combined estrogen-progesteron menopausal therapy
Combined estrogen-progesteron contraceptives
Aristolochic Acids (in plants)
Habits Tobacco smoking
Secondhand tobacco smoke
Smokeless tobacco
N'-nitrosonornicotine and 4-(methylnitrosamino)-1-(3-pyridyl)-1)butanone
Betel quid and areca nut
Chique de bétel et de noix d'arec
Alcohol
Chinese-style salted fish
Obesity BMI IMC indice de masse corporelle
weight
Height
Chemical agents and related occupations 4-aminobiphenyl
Benzidine
Dyes metabolized to benzidine
Colorants métabolisé en benzidine
4-4'-methylbenebis(2-chlorobenzenamine)
2-naphthylamine
Toluidine
Auramine
Magenta
Benzopyrene
Coal gasification
gazéification du charbon
Coal Tar and Coal-Tar Pitch
Goudron de houille et brai de goudron
Coke-Oven Emissions
Mineral Oils: Untreated and Mildly Treated
huiles minérales: non traitées et légèrement traitées
Shale oils ?
Soot (Chimney sweeps)
Suie (Ramoneurs)
Aluminuim production (exposure)
Aflatoxins
Benzene
Ether
1,3-Butadiene
Chlorodibenzodioxin, chlorodibenzofuran, chlorobiphenyl
*... chlorobiphényle
Ethylene Oxide
Formaldehyde
Sulfur mustard
gaz moutarde
Vinyl Chloride
Chlorure de vinyle
Strong Inorganic Acid Mists Containing Sulfuric Acid ?
Mists from strong innorganic acids ?
Iron and steel founder (exposure)
Fer et <fondateur!?> de l'acier 
Painter (exposure)
Rubber-manufacturing industry 

(exposure)

Industrie du caoutchouc