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PPUREURE HHOMEOME WWATERATER-- GGHANAHANA
Jenny VanCalcarClaire MatteletRachel Peletz
April 28th, 2006Advisor: S. Murcott
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TTHEHE GGLOBALLOBAL IISSUESSUE
Globally, Globally, 1.1 billion people1.1 billion peoplelack access to an “improved” lack access to an “improved” drinking water sourcedrinking water source
1.7 million deaths1.7 million deaths annually are annually are from unsafe water, sanitation, & from unsafe water, sanitation, & hygiene hygiene •• 90% of these deaths in children90% of these deaths in children•• Virtually all in developing countriesVirtually all in developing countries
MilleniumMillenium Development GoalsDevelopment GoalsTo halve by 2015 the proportion of people without To halve by 2015 the proportion of people without sustainable access to safe drinking watersustainable access to safe drinking water
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HHOUSEHOLD OUSEHOLD DDRINKING RINKING WWATER ATER TTREATMENT REATMENT AAND ND SSAFE AFE SSTORAGE TORAGE (HWTS)(HWTS)
Treats water at the point of useTreats water at the point of useMade out of local materialsMade out of local materialsRelatively cheapRelatively cheapHard to implementHard to implement
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PPUREURE HHOMEOME WWATER ATER TTEAMEAM
2 Ghanaian social entrepreneurs2 Ghanaian social entrepreneursMIT engineering and business teamsMIT engineering and business teamsLocal Partners: World Vision Local Partners: World Vision
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PPUREURE HHOMEOME WWATERATER
Selling Household Selling Household Treatment ProductsTreatment Products
TamakloeTamakloeNnsupaNnsupaSafe StorageSafe Storage
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GGHANA HANA BBACKGROUND ACKGROUND
GeneralGeneral•• West AfricaWest Africa•• Population: 21 millionPopulation: 21 million•• Size: ~ OregonSize: ~ Oregon•• LanguageLanguage
•• English and over 60 TribalEnglish and over 60 Tribal
Project Project •• Fieldwork: January 2Fieldwork: January 2--27th27th•• Northern RegionNorthern Region•• Accra, Accra, KumasiKumasi --> Tamale> Tamale
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Collection and Representation of GIS Collection and Representation of GIS Data to Aid HWTS Implementation in Data to Aid HWTS Implementation in
the Northern Region of Ghanathe Northern Region of Ghana
Jenny Jenny VanCalcarVanCalcarApril 28April 28thth, 2006, 2006
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TTHESIS HESIS OOBJECTIVEBJECTIVE
Perform reconnaissance to see what kind Perform reconnaissance to see what kind of spatial and statistical information was of spatial and statistical information was available.available.
DemographicsDemographicsHealthHealthWater and Sanitation InfrastructureWater and Sanitation Infrastructure
Display information in a way that is useful Display information in a way that is useful to Pure Home Water, future MIT teams to Pure Home Water, future MIT teams and other interested parties.and other interested parties.
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WWHATHAT IISS GIS?GIS?
A way to view and A way to view and analyze data from a analyze data from a geographic geographic perspectiveperspectiveSpatial features can Spatial features can be connected to be connected to statistical informationstatistical informationOverlaying of data Overlaying of data layers to show layers to show interrelationsinterrelations
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CCURRENTURRENT SSITUATIONITUATIONPaper Maps within Ghana are from the Paper Maps within Ghana are from the 1960’s and 1970’s and contain little 1960’s and 1970’s and contain little relevant information.relevant information.Ghana Statistical Service provides a Ghana Statistical Service provides a wealth of statistical information.wealth of statistical information.
Year 2000 CensusYear 2000 Census2003 Health and Living Standards Survey2003 Health and Living Standards Survey
GIS work beginning but focused in the GIS work beginning but focused in the capital of Accracapital of Accra
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PPROJECTROJECT LLOCATIONOCATION
Northern Region
Original Six Districts of Pure Home Focus
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1 million out of 1.8 million people in the Northern Region are currently using an unimproved source
Improved SourcesImproved SourcesBoreholesBoreholesHousehold Household connectionconnectionPublic standpipePublic standpipeRainwater harvestingRainwater harvestingProtected springs and Protected springs and dug wellsdug wells
Unimproved SourcesUnimproved SourcesAll surface water All surface water sourcessourcesUnprotected springs Unprotected springs and dug wellsand dug wellsTanker trucksTanker trucksVendor waterVendor water
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Latrine in the process of being built
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VVILLAGEILLAGE DDATABASEATABASE
Take a closer look at the characteristics of Take a closer look at the characteristics of individual villages.individual villages.
Number of Villages
According to the Gazetteer
Number of Villages on
the Map
Percentage of the Population Accounted For
Tamale 140 85 86% Savelugu 148 109 82%
Tolon 251 137 58%
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Saakpule Population: 116 Community Leaders: Ibrahim Alhassan, Zenabu Ibrahima, Alhassan Yakubu Traditional Water Source: One dug-out pond Local Market Day: Every six days (in Diare) Common Health Issues: 1. Malaria 2. Diarrhea 3. Dysentery 4. Guinea worm infection Primary Occupations: Farming Schools: None Organized Groups Present: Unit Committees, WATSAN committee Ethnic Groups: Dagomba Predominant Religion: 1. Muslim 2. Traditional worship Community’s Needs Assessment:
1. Potable Water 2. School facilities 3. Clinic
World Vision Facilities: 1. Two boreholes 2. Two laundry pads 3. Thirty VIP latrines
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IIS S GISGIS AAPPROPRIATE?PPROPRIATE?
Technologies from the Technologies from the developed world do not developed world do not necessarily transfer to necessarily transfer to the developing world.the developing world.
CostCostTechnical expertiseTechnical expertise
Is the output worth the Is the output worth the effort?effort?
PlanningPlanningData ManagementData Management
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CCROSSROSS--SSECTIONAL ECTIONAL EEPIDEMIOLOGICAL PIDEMIOLOGICAL SSTUDYTUDY
On Water and Sanitation Practices in the Northern Region of GhanOn Water and Sanitation Practices in the Northern Region of Ghanaa
Rachel Rachel PeletzPeletzApril 28, 2006April 28, 2006
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TTHESISHESIS OOBJECTIVEBJECTIVE
Surveys for baseline data onSurveys for baseline data onWater sources Water sources Sanitation practicesSanitation practicesProduct feedbackProduct feedbackGIS and water testingGIS and water testing
Information forInformation forPure Home WaterPure Home WaterMIT student teamsMIT student teamsWorld Health Organization World Health Organization (WHO) International Network(WHO) International Network
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CCOMMUNITIESOMMUNITIES SSURVEYEDURVEYED50 Households, 7 Communities, Mothers Interviewed50 Households, 7 Communities, Mothers Interviewed
5 5
3 3
3 3
0 6
4 4
0 7
0 7
0 2 4 6 8 10
Number of households
Barracks
Vitin Estates
Jisonayili
Kaleriga
Libga
Bunglung
Diare
Technology
No Technology
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GGENERALENERAL SSURVEY URVEY RRESULTSESULTS
Access to Safe Water: Access to Safe Water: 64%64%•• Improved water source always available Improved water source always available
Access to Adequate Sanitation: Access to Adequate Sanitation: 46%46%•• Latrine or flush toilet source always availableLatrine or flush toilet source always available
Appropriate Hand Washing: Appropriate Hand Washing: 86%86%•• Mothers always wash hands at appropriate times Mothers always wash hands at appropriate times
WAWI (West Africa Water Initiative) IndicatorsWAWI (West Africa Water Initiative) Indicators
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DDIARRHEAL IARRHEAL PPREVALENCE REVALENCE
Overall Prevalence = Overall Prevalence = 5%5%5% (39/724) of all people suffered 5% (39/724) of all people suffered from diarrhea at time of studyfrom diarrhea at time of study
Children under five years = Children under five years = 16%16%16% (17/109) of children under five 16% (17/109) of children under five suffered from diarrhea at time of studysuffered from diarrhea at time of study
Children under 5 are at the greatest risk for diarrheal illnesses
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H2S BH2S BACTERIAACTERIA HHOUSEHOLD OUSEHOLD WWATERATER TTESTINGESTING
7 0
5 10
4 3
4 17
0 5 10 15 20
Number of samples
Dam
Borehole
Standpipe
Tap
Water sources
BacteriaNo Bacteria
Recontamination is probable!
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CCOMMUNITIESOMMUNITIES
TRADITIONAL
NON-TRADITIONAL
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IIMPROVEDMPROVED WWATERATER SSOURCEOURCEImproved=Borehole, Tap, StandpipeImproved=Borehole, Tap, Standpipe
Not improved=Dam, Dugout, Tanker TruckNot improved=Dam, Dugout, Tanker Truck
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SSANITATIONANITATION
Toilet facilities = latrines and flush toiletsToilet facilities = latrines and flush toiletsNo toilet facility = ‘free range’ (fields)No toilet facility = ‘free range’ (fields)
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UUSERSER PPERCEPTIONSERCEPTIONS
Technology still in useTechnology still in use 93%93%
Changes in waterChanges in water 80% = Better80% = Better20% = The Same20% = The Same
Recommend Recommend technology to otherstechnology to others
100%100%
Noticeable health Noticeable health improvementsimprovements
87%87%
94% of households without product are interested in treating their water
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H2S BH2S BACTERIAACTERIA HHOUSEHOLD OUSEHOLD WWATERATER TTESTINGESTING
Product PerformanceProduct Performance
2 2
0 2
0 2
0 7
1 6
0 2 4 6 8
Number of Samples
In
Out
In
Out
Out
Tam
aklo
eN
nsup
aS
afe
Sto
rage
BacteriaNo Bacteria
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RRELATIVEELATIVE RRISKISK AANALYSISNALYSIS
Diarrheal Diarrheal IllnessIllness
No No Diarrheal Diarrheal IllnessIllness
FiltersFilters 11 1010
No FiltersNo Filters 1818 2121
Odds Ratio= (1x21) = 0.12 Statistically significant (p<.001)(18x10)
Households with filters have 12% of the risk (78% less risk) of having diarrheal illness in the home compared to households without filters
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PPRODUCTRODUCT PPRICING RICING FFEEDBACKEEDBACK
0
5
10
15
20
1-5 6-10
11-15
16-20
21-25 45
Price ($US)
Willingness to Pay
No ProductProduct
Average willingness to pay = $9Product cost = $18
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CCONCLUSIONSONCLUSIONS
Positive feedback from customersPositive feedback from customersAdoption rate: 93% (14/15) of households Adoption rate: 93% (14/15) of households
Greatest need in traditional communitiesGreatest need in traditional communitiesLack of clean water and adequate sanitationLack of clean water and adequate sanitationHigher prevalence of Higher prevalence of diarrheal diarrheal illness for illness for children under 5 children under 5
•• 5% non5% non--traditionaltraditional•• 18% traditional18% traditional
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HHouseholdousehold CCeramiceramic WWaterater FFilterilterEEvaluationvaluation usingusing TThreehree SSimple imple LLowow--CCostost MMethodsethods: : MMembrane embrane FFiltration, iltration,
3M 3M PPetrifilmetrifilm andand HH22SS BBacteriaacteria
By Claire MatteletBy Claire MatteletAdvisor: S. MurcottAdvisor: S. MurcottApril 28, 2006April 28, 2006
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IINTRODUCTIONNTRODUCTION
Motivations Simple and LowMotivations Simple and Low--Cost Cost Methods for Drinking Water Testing:Methods for Drinking Water Testing:
Fatal diseases in Ghana mainly linked to poor water & Fatal diseases in Ghana mainly linked to poor water & sanitationsanitation: :
Malaria, Diarrhoea, Typhoid, Cholera, GastroenteritisMalaria, Diarrhoea, Typhoid, Cholera, Gastroenteritis
In Northern GhanaIn Northern Ghana::Communities are widely dispersed Communities are widely dispersed
Limited ability to monitor HWTS, Need for simple mLimited ability to monitor HWTS, Need for simple methodsethods
Poverty in Northern GhanaPoverty in Northern Ghana::Need for cheap methodsNeed for cheap methods
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RRESEARCH ESEARCH OOBJECTIVESBJECTIVES
Assessment and Comparison of Simple and LowAssessment and Comparison of Simple and Low--Cost Cost Microbial Indicator Methods on the Basis of 6 Screening Microbial Indicator Methods on the Basis of 6 Screening Criteria:Criteria:
- Cost - Ease of use- Ease of interpretation- Labor requirements to complete test- Level of skill required- User acceptability
Microbial Assessment of the Filters sold by Pure Microbial Assessment of the Filters sold by Pure Home Water GhanaHome Water Ghana
Analysis of Water Samples from Dams and Analysis of Water Samples from Dams and Rivers around TamaleRivers around Tamale
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RRESULTSESULTS: : PPHWHW FFILTERSILTERS vs. vs. IINDIAN NDIAN FFILTERILTER
Flow Rates of Filters in Tamale
00,20,40,60,8
11,21,41,61,8
2
Nnsup
a
Tamak
loe
Evere
st Aq
uaga
rd
Filter
Flow
Rat
e (L
/Hr)
After 1 HourAfter 2 HoursAfter 3 Hours
Avg. 0.55L/hrAvg. 1.06L/hr
Avg. 0.34L/hr
Test Performed with Tap Water
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Tamakloe is the best performerTamakloe is the best performerPorosity is all over the bucket (great surface area)Porosity is all over the bucket (great surface area)Decrease in water head greatly affect the filterDecrease in water head greatly affect the filter
Indian filter is secondIndian filter is secondCandle = Greater surface than Nnsupa until a certain height of Candle = Greater surface than Nnsupa until a certain height of water in top bucketwater in top bucket
Nnsupa is the worst performerNnsupa is the worst performerWHO (2004): «7.5L/DWHO (2004): «7.5L/D--person is necessary»person is necessary»
RRESULTS: ESULTS: PPHWHW FFILTERSILTERS vs. vs. IINDIAN NDIAN FFILTERILTER
TamakloeTamakloe 25.5L/D25.5L/D
NnsupaNnsupa 8.2L/D8.2L/D
IndianIndian 13.1L/D13.1L/D
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P/A HP/A H22S testS testHH22SS--producing bacteriaproducing bacteria
Membrane Filtration Membrane Filtration (m(m--ColiBlue)ColiBlue)
Esherishia coli + Esherishia coli + Total Total coliformcoliform
MMATERIALS & ATERIALS & MMETHODSETHODS
3M PetriFilm3M PetriFilmEsherishia coli Esherishia coli + + Total coliformTotal coliform
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Illustration of the relationships between TC, FC and H2S bacteria.
H2S-producing bacteria
Total Coliform
Fecal Coliform
Low, 2002
E. coli
FC: Able to grow at 44.2°CEC: Some E. coli able to grow at 37°CTC: Multiply at 37°C
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RRESULTS:ESULTS:BBACTERIAACTERIARREMOVALEMOVAL
Percent of Coliforms Removed by Nnsupa and Tamakloe Filters in Tamale
0
20
40
60
80
100
Nnsupa Tamakloe
Filter
Per
cent
Rem
oval
of T
C (%
)
MF3M
Indian filter Indian filter results got results got contaminatedcontaminated
Table 5.2. Percent Removal of Total Coliforms (TC) and E. coli (EC) with the Nnsupa, Tamakloe, and Indian filters.
Percent Coliforms Removed by Filters in Tamale
Filter Avg. TC Avg. EC
MFa 3Mb MFa 3Mb
Nnsupa First Candle 69.92 91.58 - 100
Nnsupa Second Candle Cc + CCd 74.06 + Cc - 100
Tamakloe 99.55 100 - 100
Everest Aquagard CCd CCd - 100 a Membrane Filtration. b 3M Petrifilm. c Competition between total coliform bacteria growth and other red spot colonies. d Suspected candle contamination enhancing the growth of total coliform bacteria (water flowing out of the filter is more contaminated than the water flowing in the filter).
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P/A of H2S-Producing Bacteria in Filters for the Dam by St Mary School Water Samples
2
1
5
6
2
6
7
2 4
0%
20%
40%
60%
80%
100%
Source
Nnsup
a 1
Nnsup
a 2
Tamak
loeEve
rest
Aquag
uard
Filters
Perc
ent o
f P/A
, Bla
ck C
loud
and
Yello
w T
urbi
d R
esul
ts O
btai
ned
Present
Black Cloud/Yellow Turbid
Absent
RRESULTS: ESULTS: BBACTERIA ACTERIA RREMOVALEMOVAL
P/A HP/A H22S generally supported the results for S generally supported the results for all three filtersall three filters
Intersted in the methods comparisonIntersted in the methods comparisonH2S H2S vs.vs. 3M and MF3M and MF3M 3M vs.vs. MFMF
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Tamakloe is the most efficient (silver coating, small pore size)Tamakloe is the most efficient (silver coating, small pore size)Remove Nnsupa from sells until improvement of the candleRemove Nnsupa from sells until improvement of the candleIndian filter & Nnuspa filter (second candle) got contaminatedIndian filter & Nnuspa filter (second candle) got contaminated
(candle, activated carbon?)(candle, activated carbon?)
Table 5.5. Summary of the Data Obtained for Each Brand of Filter Tested.
TC Removal (%) EC Removal (%)
Filter Flow Rate
(L/Hr) MF a 3M b MF a 3M b
H2S (Filtered Water)
Cost (US$)
Nnsupa 0.34 69.92 91.58 - 100 P d 25
Tamakloe 1.06 99.55 100 - 100 A e 18
Indian 0.55 CCc CCc - 100 P f 14 (20L) 16 (24L) 18 (27L)
a Membrane Filtration. b 3M Petrifilm. c Supposed Candle Contamination enhancing the growth of total coliform bacteria (water flowing out of the filter is more contaminated than the water flowing in the filter). d The colour of the media within the P/A tube tests was turbid or black for the filtered water for water dilutions until 100x. e All P/A results were negative (remained yellow) for the filtered water. f The colour of the media within the P/A tube tests was turbid and a black cloud formed at the bottom of the tube tests for water dilutions until 1000x.
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RRESULTS: 3M ESULTS: 3M vs.vs. MFMF
Comparison of Petrifilm vs. Membrane Filtration (m-ColiBlue medium) for Total Coliform Enumeration
y = 1,1008xR2 = 0,8201
0
1
2
3
4
5
6
0 1 2 3 4 5m-ColiBlue - Log (CFU/100ml +10 CFU/100ml)
Petr
ifilm
- Lo
g (C
FU/1
00m
l + 1
0 C
FU/1
00m
l)
Figure 5.8. Comparison of Petrifilm vs. Membrane Filtration (m-ColiBlue medium) for Total Coliform Enumeration.
28 TC samples
Test d'égalité des espérances: observations pairées
Variable 1 Variable 2Moyenne 2,871 3,159Variance 2,065 3,062Observations 28,000 28,000Coefficient de corrélation de Pearson 0,906Différence hypothétique des moyennes 0Degré de liberté 27Statistique t -2,014099746P(T<=t) unilatéral 0,027030783Valeur critique de t (unilatéral) 1,703288423P(T<=t) bilatéral 0,054061566Valeur critique de t (bilatéral) 2,051830493
TT--test for paired test for paired samplessamples
Interval of Confidence Interval of Confidence set at 95%set at 95%
Are 3M and MF Are 3M and MF Significantly Different?Significantly Different?
Probability > 5%Probability > 5%
No significant difference No significant difference between the tests.between the tests.
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Table 3.1. Faecal Contamination Assessment of Water Sources in Tamale. Water Source MF (CFU/100mL) 3M (CFU/100mL)
TC EC TC EC
Dam by St Mary 13,167 0 62,571 1,409
Bilpelar Dam 8,000 135 4,500 0
Ghanasco Muali 25,000 125 10,750 0
Kamina River TNTCb TNTCb 5,100,000 3,450,000
Dam near Gillbt 1,055 30 11,600 100
WVa 757 142 18,771 233 a World Vision Office, Savlegu. b Too numerous to count.
RRESULTSESULTS:: WWATERATER SSOURCESOURCESCCONTAMINATIONONTAMINATION AASSESSMENTSSESSMENT
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CCONCLUSION: The 6 Screening ONCLUSION: The 6 Screening CriteriaCriteria
Cost Ease of
Use
Ease of
Interpretation
Labor Requirement
Level of
Skill
User Acceptability
MFMF $$$$$$ ****** Good @ Good @ Low CCLow CC
****** ****** ****
3M3M $$$$ **** Good @Good @High CCHigh CC
**** **** **
HH22SS $$ ** Lots of Lots of false +/ false +/ false false --
** ** ******
H2S should not be recommended
3M should be recommended at high level of contamination (dams, dugouts, rivers)
MF should be recommended at low level of contamination (tap water, water coming out of the filter)
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RRECOMMENDATIONSECOMMENDATIONS
Concentrate on lowering prices or finding Concentrate on lowering prices or finding alternativesalternatives
Manufacturing within TamaleManufacturing within TamaleSolar disinfectionSolar disinfection
Plan how to best spread the technologyPlan how to best spread the technologyThrough other organizations (Shell gas Through other organizations (Shell gas stations, midwives, schools, clinics)stations, midwives, schools, clinics)AdvertisingAdvertising
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TTHANKHANK YYOUOU!!