Symptom Watch UK

Daily Counts of UK Covid19 Symptom Tweets.

Numeric Alpha


Counts of tweets reporting covid19 symptoms mapped to Lower Tier Local Authorities* of the UK.
*ONS field 'lad19nm'.

Dates1 signify days of partial server downtime - counts are estimated proportionately.
Dates2 signify days of server downtime - no counts were available.

Count methodology detailed here.

Details of a JSON feed of the data is available here

Local Authority 09/03/2023 10/03/2023 11/03/2023 12/03/2023 13/03/2023 14/03/20231 15/03/2023
Hartlepool 0 0 0 0 0 0 0
Rochdale 0 0 0 0 0 0 0
St. Helens 1 1 1 0 0 1 0
Liverpool 4 3 2 5 9 2 0
Knowsley 0 0 0 0 0 0 0
Wigan 0 0 0 0 0 2 0
Trafford 0 0 0 0 0 0 0
Tameside 0 0 1 1 0 1 0
Stockport 9 6 6 5 7 8 0
Salford 0 0 0 0 0 0 0
Oldham 0 0 0 0 0 0 0
Wirral 0 0 0 0 0 0 0
Manchester 0 0 0 0 0 0 0
Bury 0 0 0 0 0 0 0
Bolton 0 0 0 0 1 0 0
Somerset West and Taunton 0 0 0 0 0 0 0
West Suffolk 0 0 1 1 1 1 0
East Suffolk 0 0 0 0 1 0 0
Stevenage 0 0 0 0 0 0 0
East Hertfordshire 0 0 0 0 0 0 0
Welwyn Hatfield 0 0 0 0 0 0 0
Sefton 0 0 0 0 0 0 0
Barnsley 0 0 0 0 0 1 0
Wyre Forest 0 0 0 0 0 0 0
Solihull 1 6 10 1 3 1 0
City of London:Westminster 37 31 37 34 34 41 0
Gateshead 0 0 0 0 0 0 0
Wakefield 0 0 0 0 0 0 0
Leeds 1 0 1 1 0 0 0
Kirklees 0 1 0 0 1 2 0
Calderdale 0 0 0 0 0 1 0
Bradford 2 3 3 2 2 4 0
Wolverhampton 0 0 0 0 0 0 0
Walsall 0 0 0 0 0 0 0
Sandwell 0 0 1 0 0 0 0
Doncaster 0 0 0 0 0 0 0
Dudley 0 0 0 1 0 0 0
Coventry 0 0 0 0 0 0 0
Birmingham 0 0 0 0 0 0 0
Sunderland 0 0 0 0 0 0 0
South Tyneside 0 0 0 0 0 1 0
North Tyneside 0 0 0 0 0 0 0
Newcastle upon Tyne 0 0 0 0 0 0 0
Sheffield 0 0 0 0 0 0 0
Rotherham 3 3 3 6 1 1 0
St Albans 0 0 1 0 0 0 0
Wychavon 0 1 0 0 0 0 0
Barnet 0 0 0 0 0 0 0
Newcastle-under-Lyme 0 0 0 0 0 0 0
Epsom and Ewell 0 0 0 0 0 0 0
Elmbridge 0 0 0 0 0 0 0
Mid Suffolk 0 1 1 0 0 0 0
Ipswich 0 0 0 0 0 0 0
Babergh 0 0 2 0 0 0 0
Tamworth 0 0 0 0 0 0 0
Staffordshire Moorlands 0 0 0 0 0 0 0
Stafford 0 0 0 0 0 0 0
South Staffordshire 0 0 2 1 0 0 0
Lichfield 0 0 0 0 0 0 0
Mole Valley 1 0 0 0 0 0 0
East Staffordshire 0 0 0 0 0 0 0
Cannock Chase 0 0 0 0 0 1 0
South Somerset 0 1 0 0 0 1 0
Sedgemoor 0 0 0 0 0 0 0
Mendip 0 0 0 0 0 0 0
West Oxfordshire 0 0 0 0 0 0 0
Vale of White Horse 0 0 0 0 0 0 0
South Oxfordshire 4 1 1 2 4 1 0
Oxford 0 0 0 0 0 0 0
Guildford 0 1 0 0 0 0 0
Reigate and Banstead 0 0 0 0 0 0 0
Worcester 0 0 0 0 0 0 0
Adur 0 0 0 0 0 0 0
Redditch 0 0 0 0 0 0 0
Malvern Hills 0 0 0 0 0 0 0
Bromsgrove 2 4 1 6 1 2 0
Worthing 0 0 0 0 0 0 0
Mid Sussex 0 0 0 0 0 0 0
Horsham 0 0 0 0 0 0 0
Crawley 0 0 0 0 0 0 0
Chichester 0 0 0 0 0 0 0
Arun 1 1 4 2 4 0 0
Warwick 0 0 0 0 0 0 0
Runnymede 0 0 0 0 0 0 0
Stratford-on-Avon 0 0 0 1 0 0 0
Rugby 0 0 0 0 0 0 0
Nuneaton and Bedworth 1 1 1 0 0 0 0
North Warwickshire 0 0 0 0 0 0 0
Woking 0 0 0 0 0 0 0
Waverley 0 1 0 0 0 0 0
Tandridge 1 0 0 2 0 1 0
Surrey Heath 0 0 0 0 0 0 0
Spelthorne 0 1 1 3 0 0 0
Barking and Dagenham 0 0 0 0 0 0 0
Bexley 0 0 0 0 0 0 0
Rushcliffe 2 1 1 2 0 1 0
Argyll and Bute 0 0 0 0 0 0 0
Fife 2 0 0 0 0 1 0
East Dunbartonshire 0 1 0 2 0 0 0
Dundee City 0 0 0 0 0 0 0
Angus 0 0 0 0 0 0 0
West Lothian 0 0 0 0 0 0 0
West Dunbartonshire 0 0 0 0 1 0 0
Renfrewshire 0 0 0 0 0 0 0
City of Edinburgh 0 0 0 0 0 0 0
Aberdeenshire 0 0 0 0 0 0 0
Glasgow City 0 0 1 2 0 6 0
Aberdeen City 1 0 1 0 2 1 0
Stirling 0 0 0 0 0 0 0
South Lanarkshire 0 0 0 0 0 1 0
South Ayrshire 0 0 0 1 0 0 0
Shetland Islands 0 0 0 0 0 0 0
Scottish Borders 0 0 1 0 0 1 0
Orkney Islands 0 0 0 0 0 0 0
North Ayrshire 1 1 0 0 0 0 0
Moray 0 0 0 0 0 0 0
Perth and Kinross 1 1 1 1 0 3 0
North Lanarkshire 6 3 4 6 8 6 0
Inverclyde 2 0 0 0 0 0 0
Bridgend 0 0 0 0 0 0 0
Powys 0 0 0 0 0 0 0
Newport 0 0 0 0 0 0 0
Monmouthshire 0 0 0 0 0 0 0
Torfaen 1 0 0 0 0 0 0
Blaenau Gwent 0 0 0 0 0 0 0
Caerphilly 0 0 0 0 0 0 0
Rhondda Cynon Taf 1 0 1 0 0 0 0
Cardiff 0 0 0 0 0 0 0
Vale of Glamorgan 1 1 0 1 3 2 0
Neath Port Talbot 0 0 0 0 0 0 0
Isle of Anglesey 0 0 0 0 0 0 0
Swansea 0 0 1 0 0 0 0
Carmarthenshire 0 0 0 0 0 0 0
Pembrokeshire 0 0 0 0 0 0 0
Ceredigion 0 0 1 0 0 0 0
Wrexham 0 0 0 0 0 0 0
Flintshire 1 0 0 0 0 1 0
Denbighshire 0 0 2 1 0 0 0
Conwy 0 0 1 0 0 0 0
Gwynedd 0 0 0 0 0 0 0
Midlothian 4 1 2 3 2 3 0
Highland 0 0 2 1 0 0 0
Brent 0 0 0 0 0 0 0
Havering 0 0 0 0 0 0 0
Newham 0 0 0 0 0 0 0
Merton 0 0 0 0 0 0 0
Lewisham 0 0 0 0 0 1 0
Lambeth 0 0 0 0 0 0 0
Kingston upon Thames 0 0 0 0 0 0 0
Kensington and Chelsea 0 0 0 0 0 0 0
Islington 0 0 0 0 0 0 0
Hounslow 0 0 0 0 0 1 0
Hillingdon 0 0 0 0 0 0 0
Harrow 0 0 0 0 0 0 0
Richmond upon Thames 0 0 0 0 0 0 0
Haringey 0 1 0 0 0 0 0
Hammersmith and Fulham 0 0 0 0 0 0 0
Hackney 0 0 0 0 0 0 0
Greenwich 0 0 0 0 0 0 0
Enfield 0 0 0 0 0 0 0
Ealing 0 0 0 0 0 0 0
Croydon 0 0 0 0 0 0 0
Camden 0 0 0 0 0 0 0
Bromley 0 0 0 0 0 0 0
Redbridge 0 0 0 0 0 0 0
Southwark 0 0 0 0 0 0 0
Falkirk 0 0 0 0 1 1 0
Mid and East Antrim 0 0 0 0 0 0 0
Na h-Eileanan Siar 0 0 0 0 0 0 0
East Renfrewshire 1 0 1 1 1 1 0
East Lothian 0 0 1 0 0 0 0
East Ayrshire 0 0 0 0 0 0 0
Dumfries and Galloway 1 0 1 1 0 0 0
Clackmannanshire 0 0 0 0 0 1 0
Ards and North Down 0 0 0 0 0 0 0
Newry, Mourne and Down 0 0 0 0 0 0 0
Mid Ulster 0 0 0 0 0 0 0
Lisburn and Castlereagh 0 0 0 0 0 0 0
Sutton 0 0 0 0 0 1 0
Fermanagh and Omagh 0 0 0 0 0 0 0
Derry City and Strabane 0 0 0 0 0 0 0
Causeway Coast and Glens 0 0 0 0 0 0 0
Belfast 0 0 0 0 0 0 0
Armagh City, Banbridge and Craigavon 0 0 0 0 0 0 0
Antrim and Newtownabbey 0 0 0 0 0 0 0
Wandsworth 0 0 0 0 0 0 0
Waltham Forest 0 0 0 0 0 0 0
Tower Hamlets 0 0 0 0 0 1 0
Cherwell 0 0 0 0 0 0 0
Newark and Sherwood 0 1 0 0 0 1 0
Middlesbrough 1 0 0 0 1 0 0
East Cambridgeshire 0 0 0 0 0 0 0
Eden 0 0 0 0 0 1 0
Copeland 0 0 0 0 0 0 0
Carlisle 0 0 0 0 0 0 0
Barrow-in-Furness 0 0 0 0 0 0 0
Allerdale 1 0 0 0 0 0 0
South Cambridgeshire 0 0 0 0 0 0 0
Huntingdonshire 0 0 0 0 0 0 0
Fenland 0 0 0 0 0 0 0
Cambridge 0 0 1 1 0 3 0
Amber Valley 0 0 0 0 0 0 0
Wycombe 0 0 0 0 0 0 0
South Bucks 0 0 1 0 0 0 0
Chiltern 0 0 0 0 0 0 0
Aylesbury Vale 0 0 0 0 0 0 0
Dorset 1 1 0 0 0 1 0
Christchurch 2 1 0 0 1 0 0
Northumberland 0 0 0 0 0 0 0
Central Bedfordshire 0 0 1 1 0 1 0
Bedford 0 0 0 0 0 0 0
South Lakeland 0 0 0 0 0 0 0
Bolsover 0 0 0 0 0 0 0
Cornwall 3 0 1 1 1 1 0
Teignbridge 0 0 0 0 0 0 0
Braintree 0 0 0 0 0 0 0
Basildon 0 0 0 0 0 0 0
Wealden 1 1 0 0 0 0 0
Rother 2 1 1 0 0 0 0
Lewes 0 0 0 0 0 0 0
Hastings 0 0 0 0 0 0 0
Eastbourne 0 0 0 0 0 0 0
West Devon 1 0 0 0 0 0 0
Torridge 0 0 0 0 0 0 0
South Hams 1 0 0 0 0 0 0
Chesterfield 0 0 0 0 0 0 0
North Devon 1 0 0 0 0 0 0
Mid Devon 0 0 0 0 0 0 0
Exeter 0 0 0 0 0 0 0
East Devon 0 0 0 0 0 0 0
South Derbyshire 0 0 1 3 1 3 0
North East Derbyshire 3 4 1 2 2 3 0
High Peak 1 0 1 0 0 0 0
Erewash 0 1 0 0 0 0 0
Derbyshire Dales 0 0 1 0 0 0 0
Wiltshire 18 16 17 10 9 9 0
Shropshire 0 0 0 2 0 1 0
Castle Point 0 0 0 0 0 0 0
North Lincolnshire 0 0 0 0 0 0 0
Bath and North East Somerset 5 4 4 5 7 4 0
Stoke-on-Trent 0 0 0 0 0 0 0
Telford and Wrekin 0 0 0 0 0 0 0
Herefordshire, County of 0 1 0 0 1 0 0
Nottingham 0 0 0 0 0 0 0
Rutland 0 0 0 0 0 0 0
Leicester 0 0 0 0 0 0 0
Derby 0 0 0 0 0 0 0
York 0 0 0 0 0 0 0
North East Lincolnshire 0 1 0 0 0 0 0
North Somerset 0 0 0 0 0 0 0
East Riding of Yorkshire 0 0 0 0 0 0 0
Kingston upon Hull, City of 1 0 1 0 1 0 0
Blackpool 0 0 0 0 0 0 0
Blackburn with Darwen 0 0 0 0 0 0 0
Warrington 0 0 0 0 0 0 0
Halton 0 0 0 0 0 0 0
Darlington 0 0 0 0 0 0 0
Stockton-on-Tees 1 0 0 0 3 0 0
Redcar and Cleveland 0 0 0 0 0 0 0
Bristol, City of 0 0 0 0 0 0 0
South Gloucestershire 0 0 0 0 0 0 0
Cheshire West and Chester 0 0 0 1 1 1 0
Slough 0 0 0 0 0 0 0
Cheshire East 0 0 0 0 0 0 0
County Durham 2 0 1 4 1 2 0
Isle of Wight 0 0 0 0 0 0 0
Southampton 0 0 2 5 1 0 0
Portsmouth 0 1 3 1 1 1 0
Brighton and Hove 0 0 0 0 0 0 0
Milton Keynes 0 0 0 0 0 0 0
Wokingham 0 0 0 0 0 0 0
Windsor and Maidenhead 0 0 0 0 1 0 0
Reading 0 0 0 0 0 0 0
Plymouth 0 2 0 1 0 3 0
West Berkshire 0 0 1 0 1 0 0
Bracknell Forest 2 0 2 2 1 0 0
Medway 0 0 0 0 0 0 0
Thurrock 0 0 0 0 0 0 0
Southend-on-Sea 1 0 0 0 0 0 0
Luton 0 0 0 0 0 0 0
Peterborough 1 0 0 0 0 0 0
Swindon 0 0 0 0 0 0 0
Torbay 0 0 1 0 0 1 0
Brentwood 0 0 0 0 0 0 0
Chelmsford 0 0 0 0 0 0 0
Mansfield 0 0 0 0 0 0 0
North West Leicestershire 1 0 0 0 0 0 0
Breckland 0 0 1 0 0 1 0
West Lindsey 0 0 1 1 0 0 0
South Kesteven 0 0 0 0 0 0 0
South Holland 0 0 0 0 0 0 0
North Kesteven 0 1 0 1 1 0 0
Lincoln 0 0 0 0 0 0 0
East Lindsey 0 0 0 0 0 1 0
Boston 0 0 0 0 0 0 0
Oadby and Wigston 0 0 0 0 0 0 0
Melton 0 0 0 0 0 0 0
Great Yarmouth 0 0 0 0 0 0 0
Hinckley and Bosworth 0 0 0 0 0 0 0
Harborough 0 0 0 0 0 0 0
Charnwood 0 0 0 0 0 0 0
Blaby 1 2 0 1 2 1 0
Wyre 0 0 0 0 0 0 0
West Lancashire 0 0 0 0 0 0 0
South Ribble 1 0 0 0 0 0 0
Rossendale 0 0 0 0 0 0 0
Ribble Valley 0 0 0 0 0 0 0
Broadland 1 0 0 0 0 0 0
King's Lynn and West Norfolk 1 0 0 0 1 0 0
Pendle 0 0 0 0 0 0 0
Hambleton 0 0 0 0 0 0 0
Gedling 0 0 1 0 0 0 0
Broxtowe 0 0 0 0 0 0 0
Bassetlaw 0 0 0 0 0 0 0
Ashfield 1 0 0 1 0 0 0
Selby 0 0 0 0 0 0 0
Scarborough 0 0 0 0 0 0 0
Ryedale 0 0 0 0 0 0 0
Richmondshire 0 0 0 0 0 0 0
Harrogate 0 2 0 0 0 0 0
Craven 0 0 0 0 0 0 0
North Norfolk 0 0 1 0 0 0 0
Wellingborough 0 0 0 0 0 0 0
South Northamptonshire 0 0 0 0 0 0 0
Northampton 0 0 0 0 0 0 0
Kettering 0 0 0 0 0 0 0
East Northamptonshire 1 0 0 0 0 0 0
Daventry 0 0 0 0 0 0 0
Corby 0 0 0 0 0 0 0
South Norfolk 0 0 0 0 0 0 0
Norwich 1 1 0 1 1 0 0
Preston 0 0 0 0 0 0 0
Lancaster 0 0 0 0 0 1 0
Colchester 0 0 0 0 0 0 0
Stroud 0 0 0 1 0 2 0
New Forest 1 0 0 0 1 1 0
Havant 0 0 0 0 0 0 0
Hart 0 0 0 0 0 1 0
Gosport 0 0 0 0 0 0 0
Fareham 1 0 0 2 0 1 0
Eastleigh 0 0 0 0 0 0 0
East Hampshire 0 0 0 0 0 0 0
Basingstoke and Deane 0 0 0 0 0 1 0
Tewkesbury 0 0 0 0 0 0 0
Gloucester 0 0 0 0 0 0 0
Test Valley 0 0 1 0 0 0 0
Forest of Dean 1 0 0 0 0 0 0
Cotswold 3 0 1 1 0 0 0
Cheltenham 0 0 1 0 0 0 0
Uttlesford 0 0 0 0 0 0 0
Tendring 0 0 0 0 0 0 0
Rochford 0 0 0 0 0 0 0
Maldon 0 0 0 0 0 0 0
Harlow 0 0 0 0 0 0 0
Epping Forest 0 0 0 0 1 0 0
Rushmoor 0 0 0 0 0 0 0
Winchester 0 0 0 0 0 0 0
Hyndburn 1 0 0 0 0 0 0
Maidstone 0 0 0 0 0 0 0
Fylde 0 0 0 0 2 0 0
Chorley 0 0 0 0 0 0 0
Burnley 1 0 0 0 0 0 0
Tunbridge Wells 0 0 0 0 1 0 0
Tonbridge and Malling 0 0 0 0 0 0 0
Thanet 0 0 0 0 0 0 0
Swale 0 0 0 0 0 0 0
Folkestone and Hythe 1 0 0 1 0 0 0
Sevenoaks 0 0 0 0 0 0 0
Gravesham 0 0 0 0 0 0 0
Broxbourne 0 0 0 0 0 0 0
Dover 0 0 0 0 0 0 0
Dartford 0 0 0 0 0 0 0
Canterbury 0 0 0 0 0 0 0
Ashford 0 0 0 0 0 0 0
Watford 0 0 0 0 0 0 0
Three Rivers 0 0 0 0 0 0 0
North Hertfordshire 0 0 0 1 0 0 0
Hertsmere 0 0 0 0 0 0 0
Dacorum 0 0 0 0 0 0 0
Merthyr Tydfil 0 0 0 0 0 0 0


Counts of tweets reporting covid19 symptoms across the Upper Tier Local Authorities* in England and Wales
*ONS field 'utla19nm'.

Dates1 signify days of partial server downtime - counts are estimated proportionately.
Dates2 signify days of server downtime - no counts were available.

Count methodology detailed here.

Details of a JSON feed of the data is available here

ULTA 09/03/2023 10/03/2023 11/03/2023 12/03/2023 13/03/2023 14/03/20231 15/03/2023
0 0 0 0 0 0 0
Richmond upon Thames 0 0 0 0 0 0 0
North Somerset 0 0 0 0 0 0 0
Barking and Dagenham 0 0 0 0 0 0 0
Haringey 0 1 0 0 0 0 0
Wiltshire 18 16 17 10 9 9 0
Gateshead 0 0 0 0 0 0 0
Croydon 0 0 0 0 0 0 0
Swansea 0 0 1 0 0 0 0
County Durham 2 0 1 4 1 2 0
Reading 0 0 0 0 0 0 0
Lincolnshire 0 1 1 2 1 1 0
Sutton 0 0 0 0 0 1 0
Bath and North East Somerset 5 4 4 5 7 4 0
Caerphilly 0 0 0 0 0 0 0
Thurrock 0 0 0 0 0 0 0
Doncaster 0 0 0 0 0 0 0
Northamptonshire 1 0 0 0 0 0 0
Cardiff 0 0 0 0 0 0 0
Enfield 0 0 0 0 0 0 0
Bromley 0 0 0 0 0 0 0
Warwickshire 1 1 1 1 0 0 0
Sefton 0 0 0 0 0 0 0
Rhondda Cynon Taf 1 0 1 0 0 0 0
Vale of Glamorgan 1 1 0 1 3 2 0
Calderdale 0 0 0 0 0 1 0
Surrey 2 3 1 5 0 1 0
Windsor and Maidenhead 0 0 0 0 1 0 0
Luton 0 0 0 0 0 0 0
Blaenau Gwent 0 0 0 0 0 0 0
Kent 1 0 0 1 1 0 0
Havering 0 0 0 0 0 0 0
Newham 0 0 0 0 0 0 0
Brighton and Hove 0 0 0 0 0 0 0
Oxfordshire 4 1 1 2 4 1 0
Merton 0 0 0 0 0 0 0
West Sussex 1 1 4 2 4 0 0
West Berkshire 0 0 1 0 1 0 0
Hartlepool 0 0 0 0 0 0 0
Leeds 1 0 1 1 0 0 0
Dudley 0 0 0 1 0 0 0
East Sussex 3 2 1 0 0 0 0
Harrow 0 0 0 0 0 0 0
Pembrokeshire 0 0 0 0 0 0 0
Blackpool 0 0 0 0 0 0 0
Hackney 0 0 0 0 0 0 0
Rutland 0 0 0 0 0 0 0
Bracknell Forest 2 0 2 2 1 0 0
Nottinghamshire 3 2 2 3 0 2 0
Kensington and Chelsea 0 0 0 0 0 0 0
Camden 0 0 0 0 0 0 0
Lambeth 0 0 0 0 0 0 0
Bolton 0 0 0 0 1 0 0
North Lincolnshire 0 0 0 0 0 0 0
Slough 0 0 0 0 0 0 0
Portsmouth 0 1 3 1 1 1 0
Cumbria 1 0 0 0 0 1 0
York 0 0 0 0 0 0 0
Salford 0 0 0 0 0 0 0
Sheffield 0 0 0 0 0 0 0
Worcestershire 2 5 1 6 1 2 0
Bedford 0 0 0 0 0 0 0
Southwark 0 0 0 0 0 0 0
Darlington 0 0 0 0 0 0 0
Merthyr Tydfil 0 0 0 0 0 0 0
South Gloucestershire 0 0 0 0 0 0 0
Barnet 0 0 0 0 0 0 0
Bexley 0 0 0 0 0 0 0
Halton 0 0 0 0 0 0 0
Hertfordshire 0 0 1 1 0 0 0
Redbridge 0 0 0 0 0 0 0
Cornwall 3 0 1 1 1 1 0
Plymouth 0 2 0 1 0 3 0
Kingston upon Thames 0 0 0 0 0 0 0
Nottingham 0 0 0 0 0 0 0
Isles of Scilly 0 0 0 0 0 0 0
Westminster 0 0 0 0 0 0 0
Devon 3 0 0 0 0 0 0
Barnsley 0 0 0 0 0 1 0
Knowsley 0 0 0 0 0 0 0
Torfaen 1 0 0 0 0 0 0
Flintshire 1 0 0 0 0 1 0
North East Lincolnshire 0 1 0 0 0 0 0
Wakefield 0 0 0 0 0 0 0
Bury 0 0 0 0 0 0 0
Sunderland 0 0 0 0 0 0 0
Lancashire 3 0 0 0 2 1 0
Newcastle upon Tyne 0 0 0 0 0 0 0
Leicestershire 2 2 0 1 2 1 0
North Yorkshire 0 2 0 0 0 0 0
Middlesbrough 1 0 0 0 1 0 0
Denbighshire 0 0 2 1 0 0 0
East Riding of Yorkshire 0 0 0 0 0 0 0
Conwy 0 0 1 0 0 0 0
Rotherham 3 3 3 6 1 1 0
Derbyshire 4 5 4 5 3 6 0
Manchester 0 0 0 0 0 0 0
Wigan 0 0 0 0 0 2 0
Carmarthenshire 0 0 0 0 0 0 0
Tower Hamlets 0 0 0 0 0 1 0
Gloucestershire 4 0 2 2 0 2 0
Herefordshire, County of 0 1 0 0 1 0 0
Cambridgeshire 0 0 1 1 0 3 0
Cheshire East 0 0 0 0 0 0 0
Bradford 2 3 3 2 2 4 0
Hounslow 0 0 0 0 0 1 0
Powys 0 0 0 0 0 0 0
Oldham 0 0 0 0 0 0 0
Tameside 0 0 1 1 0 1 0
Kingston upon Hull, City of 1 0 1 0 1 0 0
Stockport 9 6 6 5 7 8 0
Islington 0 0 0 0 0 0 0
Gwynedd 0 0 0 0 0 0 0
Cheshire West and Chester 0 0 0 1 1 1 0
Central Bedfordshire 0 0 1 1 0 1 0
Northumberland 0 0 0 0 0 0 0
Swindon 0 0 0 0 0 0 0
Staffordshire 0 0 2 1 0 1 0
Wandsworth 0 0 0 0 0 0 0
Trafford 0 0 0 0 0 0 0
Hampshire 2 0 1 2 1 4 0
Southampton 0 0 2 5 1 0 0
Isle of Wight 0 0 0 0 0 0 0
Telford and Wrekin 0 0 0 0 0 0 0
Brent 0 0 0 0 0 0 0
Redcar and Cleveland 0 0 0 0 0 0 0
Warrington 0 0 0 0 0 0 0
Solihull 1 6 10 1 3 1 0
Buckinghamshire 0 0 1 0 0 0 0
Coventry 0 0 0 0 0 0 0
Isle of Anglesey 0 0 0 0 0 0 0
Derby 0 0 0 0 0 0 0
Wirral 0 0 0 0 0 0 0
Rochdale 0 0 0 0 0 0 0
St. Helens 1 1 1 0 0 1 0
Torbay 0 0 1 0 0 1 0
Hillingdon 0 0 0 0 0 0 0
Walsall 0 0 0 0 0 0 0
Southend-on-Sea 1 0 0 0 0 0 0
Waltham Forest 0 0 0 0 0 0 0
Newport 0 0 0 0 0 0 0
South Tyneside 0 0 0 0 0 1 0
Kirklees 0 1 0 0 1 2 0
Sandwell 0 0 1 0 0 0 0
Bristol, City of 0 0 0 0 0 0 0
Suffolk 0 1 4 1 2 1 0
Wrexham 0 0 0 0 0 0 0
Wolverhampton 0 0 0 0 0 0 0
Peterborough 1 0 0 0 0 0 0
Blackburn with Darwen 0 0 0 0 0 0 0
Neath Port Talbot 0 0 0 0 0 0 0
Leicester 0 0 0 0 0 0 0
Stockton-on-Tees 1 0 0 0 3 0 0
Wokingham 0 0 0 0 0 0 0
Bridgend 0 0 0 0 0 0 0
Hammersmith and Fulham 0 0 0 0 0 0 0
Liverpool 4 3 2 5 9 2 0
Medway 0 0 0 0 0 0 0
Shropshire 0 0 0 2 0 1 0
Norfolk 3 1 2 1 2 1 0
Ceredigion 0 0 1 0 0 0 0
North Tyneside 0 0 0 0 0 0 0
Bournemouth, Christchurch and Poole 2 1 0 0 1 0 0
Monmouthshire 0 0 0 0 0 0 0
Greenwich 0 0 0 0 0 0 0
Somerset 0 1 0 0 0 1 0
Ealing 0 0 0 0 0 0 0
Dorset 1 1 0 0 0 1 0
Birmingham 0 0 0 0 0 0 0
Milton Keynes 0 0 0 0 0 0 0
Lewisham 0 0 0 0 0 1 0
City of London 37 31 37 34 34 41 0
Stoke-on-Trent 0 0 0 0 0 0 0
Essex 0 0 0 0 1 0 0


Counts of tweets reporting covid19 symptoms from across the English NHS Regions*
*ONS field 'nher19nm'.

Dates1 signify days of partial server downtime - counts are estimated proportionately.
Dates2 signify days of server downtime - no counts were available.

Count methodology detailed here.

Details of a JSON feed of the data is available here

NHS Region 09/03/2023 10/03/2023 11/03/2023 12/03/2023 13/03/2023 14/03/20231 15/03/2023
South West 36 25 25 19 18 22 0
North West 17 10 10 12 20 16 0
London 37 32 37 34 34 45 0
Midlands 14 23 22 23 11 15 0
South East 15 8 17 20 15 7 0
East of England 5 2 9 5 5 6 0
North East and Yorkshire 12 10 9 13 10 13 0


Counts of tweets reporting covid19 symptoms from across England, Wales and Scotland
Countries mapped to ONS field 'ctry15nm'.

Dates1 signify days of partial server downtime - counts are estimated proportionately.
Dates2 signify days of server downtime - no counts were available.

Count methodology detailed here.

Details of a JSON feed of the data is available here

Country 09/03/2023 10/03/2023 11/03/2023 12/03/2023 13/03/2023 14/03/20231 15/03/2023
Wales 4 1 6 2 3 3 0
England 136 110 129 126 113 124 0
Scotland 19 7 15 18 15 25 0
Northern Ireland 0 0 0 0 0 0 0

Counting Methodology

The Twitter Stream.
We received English language tweets that were filtered for covid19 symptoms using MedDRA terms for fever, cough and anosmia. Explicit covid19 terms such as coronavirus were not included in the search list.
We remove official retweets or tweets that start with #RT.

Selection of UK tweets.
Tweets that we determine have originated in the UK are selected via a series of tests.
Some tweets are geotagged. This provides us with the location of the tweeter.
For others we look at the profile of the author to ascertain whether they have provided an appropriate location.
Finally we run a trained classifier on the tweet text to differentiate between those texts that are likely to have been written by someone in the UK and texts that are not. (Note this test does not provide a location within the UK and so is not represented in the figures on this site.)

Are the tweets reporting symptoms?
The selected UK tweets are then put through a classifier that determines whether the tweeter is reporting their own current symptoms (class 1), reporting their own past symptoms (class 2), reporting someone else’s current symptoms (class 3), reporting someone else’s past symptoms (class 4), or are not reporting symptoms at all (class 0).
If the tweet is not reporting symptoms it is rejected. Presently the sum of classes 1-4 are shown in the tables.

The mapping of tweets to areas.
Tweets are mapped from their original location, (city, town, village), to lower tier local authorities, upper tier local authorities, NHS regions and countries using lookup tables provided by The Office for National Statistics.

Server downtime.
For every fifteen minute period we check the number of tweets received. If zero then the server is deemed to be down for that period. The number of tweets reported = count * 96/(96 - downtime periods) and the date is annotated as date1. On the rare occasion when the server is down all day, (May 17th 2020) then zero counts are reported and the date is annotated as date2.

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