How do Water and Sanitation Look from a Child Health Perspective? John Borrazzo U.S. Agency for...

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How do Water and Sanitation Look from a Child Health Perspective? John Borrazzo U.S. Agency for International Development World Water Forum V Istanbul, Turkey March 20, 2009

Transcript of How do Water and Sanitation Look from a Child Health Perspective? John Borrazzo U.S. Agency for...

  • How do Water and Sanitation Look from a Child Health Perspective?John BorrazzoU.S. Agency for International Development

    World Water Forum VIstanbul, TurkeyMarch 20, 2009

  • The child health problem - targetingRelevant programmatic strategies focusingOutcomes and impact - measuring

  • 90% preventable

    Undernutrition implicated in 50% of child deaths, and is also associated with diarrhea9.2 million child (

  • Source: Safer Water, Better Health, WHO 2008

  • Diarrhea Real Progress in Reducing Mortality1990 World Summit for Children Goal met by 2000(reduce under-five diarrheal deaths by half)

    Almost 3 million child deaths/year averted by 2005But -

    Estimated 1.5 billion child diarrhea episodes/year (in developing countries)

    Still over 1.5 million child deaths/year

  • Where do child deaths from diarrhea occur?

    Chart6

    643

    631

    201

    66

    46

    Sheet1

    19902001reduction 1990-2001

    ECA6112ECA80.3sub-Saharan Africa643

    LAC10846LAC57.4South Asia631

    MENA14466MENA54.2East Asia201

    SA991631SA36.3Middle East66

    EAP274201EAP26.6LAC46

    SSA784643SSA18.0

    Sheet1

    6112

    10846

    14466

    991631

    274201

    784643

    1990

    2001

    DD deaths in '000s

    Sheet2

    reduction 1990-2001

    DD deaths reduction 1990-2001 (%)

    Sheet3

  • 11 countries account for over 70% of the annual deaths globally from diarrhea

  • Deaths from Diarrhea have declined in all regionsSource: WHO, 2002; ECA=Europe and Central Asia, LAC=Latin America and the Caribbean, MENA=Middle East and North Africa, SA=South Asia, EAP=East Asia and the Pacific, SSA=sub-Saharan Africa

    Chart4

    6112

    10846

    14466

    991631

    274201

    784643

    1990

    2001

    DD deaths in '000s

    Sheet1

    19902001reduction 1990-2001

    ECA6112ECA80.3

    LAC10846LAC57.4

    MENA14466MENA54.2

    SA991631SA36.3

    EAP274201EAP26.6

    SSA784643SSA18.0

    Sheet1

    1990

    2001

    DD deaths in '000s

    Sheet2

    reduction 1990-2001

    DD deaths reduction 1990-2001 (%)

    Sheet3

    Chart5

    80.3278688525

    57.4074074074

    54.1666666667

    36.3269424823

    26.6423357664

    17.9846938776

    reduction 1990-2001

    DD deaths reduction 1990-2001 (%)

    Sheet1

    19902001reduction 1990-2001

    ECA6112ECA80.3

    LAC10846LAC57.4

    MENA14466MENA54.2

    SA991631SA36.3

    EAP274201EAP26.6

    SSA784643SSA18.0

    Sheet1

    1990

    2001

    DD deaths in '000s

    Sheet2

    reduction 1990-2001

    DD deaths reduction 1990-2001 (%)

    Sheet3

  • Under-five mortality rate from diarrhea (deaths per thousand live births)Source: The Lancet Child Survival Series, 2003

    Chart3

    55.7460876187

    49.6238861612

    48.46041346

    42.041674179

    40.7136811208

    40.1739342049

    37.466553672

    37.0032475265

    34.5281531783

    31.6397002315

    30.8906030868

    28.7749927068

    25.9991180143

    25.6133447084

    25.0893641306

    23.7536468163

    23.4053392523

    23.3395662592

    21.1178486784

    20.9297632052

    20.8053999906

    19.7761864052

    Sheet1

    U5MRU5 deaths%DDU5 DD DeathsDDMRpriority (if USAID)imp water (urban)imp water (rural)imp water (total)imp san (urban)imp san (rural)imp san (total)U5 DD DeathsDDMR

    Sierra Leone28369,00019.713,59255.7****754657533039Nigeria130,800Sierra Leone55.7

    Angola260169,00019.132,25649.6****704050561630DR Congo87,400Angola49.6

    Afghanistan257251,00018.947,32948.5****1911131658Ethiopia81,800Somalia48.5

    Somalia225100,00018.718,68542.0****322729471425Tanzania37,400Liberia42.0

    Liberia235n/a17.3n/a40.7****72526249726Angola32,300Mali40.7

    Mali219128,00018.323,48140.2****763548593845Niger30,900Rwanda40.2

    Rwanda20354,00018.59,96637.5***926973563841Mozambique25,600DR Congo37.5

    Democratic Republic of the Congo205484,00018.187,36437.0***832946432329Uganda25,000Burundi37.0

    Burundi19050,00018.29,08634.5***907879473536Mali23,500Zambia34.5

    Zambia18288,00017.515,37031.8***903655683245Kenya20,600Malawi31.6

    Malawi17596,00018.117,35731.6***966267664246Nigeria30.9

    Nigeria197834,00015.7130,77530.9***724960483038Burkina Faso19,600Ethiopia28.8

    Ethiopia166472,00017.381,81828.8**8111...194...Somalia18,700Benin26.0

    Benin15250,00017.18,55226.0**796068581232Malawi17,400Guinea25.6

    Guinea15562,00016.510,24525.6**78385125613Madagascar15,700Mozambique25.1

    Mozambique152155,00016.525,58525.1**762442511427Zambia15,400Uganda23.8

    Uganda138145,00017.224,95923.8**875256533941Cameroon14,400Senegal23.4

    Senegal13750,00017.18,54223.4**905472703452Sierra Leone13,600Cambodia23.3

    Cambodia14163,00016.610,42823.3**58293453816Chad13,200Tanzania21.1

    United Republic of Tanzania126223,00016.837,37521.1**926273544146Guinea-Bissau11,500Djibouti20.9

    Djibouti126n/a16.6n/a20.9**826780552750Guinea10,200Madagascar20.8

    Madagascar12393,00016.915,73120.8**753445492733Rwanda10,000Kenya19.8

    Kenya120125,00016.520,60019.8*894662564348Burundi9,100

    Tajikistan118n/a16.4n/a19.3*934758714753Benin8,600

    Haiti11745,00016.57,42319.3*915971522334Senegal8,500

    Yemen11197,00016.115,63417.9*746869761430

    Timor-Leste80n/a21.9n/a17.5*735152653033

    India852,402,00020.3487,57417.3*968286581830

    Turkmenistan103n/a15.6n/a16.1*935471775062

    Nepal7676,00020.515,56115.6*938284682027

    Bangladesh77343,00020.068,71615.4*827275753948

    Azerbaijan90n/a15.3n/a13.8*955977733655

    Niger259156,00019.830,92751.380364643412

    Guinea-Bissau20362,00018.611,53537.8794959572334

    Chad20073,00018.113,17836.14032343008

    Burkina Faso192104,00018.819,55136.182445145512

    Cameroon14983,00017.314,36625.8844163633348

    Myanmar105132,00021.127,90422.2957480966373

    Mauritania125n/a16.2n/a20.263455664942

    Sao Tome and Principe118n/a16.0n/a18.9897379322024

    Bhutan80n/a20.9n/a16.7866062657070

    Papua New Guinea93n/a15.3n/a14.3883239674145

    Lao People's Democratic Republic83n/a15.6n/a12.9663843611424

    Eritrea82n/a15.6n/a12.87254573439

    Sheet1

    Sheet2

    Sheet3

  • Median Age-specific Incidences for Diarrheal Episodes per Child per Year from Three Reviews of Prospective Studies in Developing Areas, 1955-2000

    Source: Disease Control Priorities in Developing Countries, Second Edition; 2006

  • Full coverage with proven interventions could reduce under-five mortality by 66%, equivalent to 6 million child deaths/year.Lancet Child Survival Series

  • Focus on the evidence-based interventions with greatest potential for reducing morbidity and mortalityPOU water treatment & safe storage approximately 30-50% reduction in DD prevalence (Cochrane Review, Clasen et al., 2006)Optimal handwashing (meta-analysis showed 43% reduction in diarrhea prevalence, April 2003, Lancet)Sanitation basic, low-cost systems can reduce DD by 30% or moreIncreasing quantities of water used impact on general hygiene and specifically facilitates handwashing

  • Costs vs. impact of various WSH program strategies (WHO 2007)

    Chart1

    0.16722.6

    0.5324.6

    0.69136.5

    DD Reduction (%)

    Annual Cost (B$)

    Sheet1

    4%$1.8 B2.22

    10%6%$11.3 B$9.5 B0.88

    16.70%10.70%$22.6 B$11.3 B0.71

    53%36.30%$24.6 B$2.0 B2.15

    69%16%$136.5 B$111.9 B0.51

    36.3$1.78

    $11.30$9.52

    $22.60$11.30

    $24.60$2.00

    $136.50$111.90

    Sheet2

    41.8

    10$11.30

    17$22.60

    53$24.60

    69$136.50

    Sheet2

    41.8

    1011.3

    16.722.6

    5324.6

    69136.5

    &A

    Page &P

    Sheet3

    Sheet2 (2)

    Annual Cost (B$)DD Reduction (%)

    MDG Standard Water and Sanitation$2317%

    MDG Standard + Improved POU Quality$2553%

    Piped water and sewerage$13769%

    Sheet2 (2)

    &A

    Page &P

    DD Reduction (%)

    Annual Cost (B$)

  • Use of Appropriate Technologies: Tippy Tap

  • Impact of Key Interventions on Diarrhea

  • Take-home messagesTARGET - Countries with high DD burden (severity, magnitude), children ages 6-24 months, newborns (caregiver handwashing)

    FOCUS - On key behavioral outcomes water use, water quality (at POU), feces disposal, and handwashing

    MEASURE - Behaviors, not diarrhea

    *Please express my sincere regrets - JB.

    Id give serious thought to dropping the and Friends business. I think that it risks sounding like well only do business with friendly implementing partners and friendly governments, but thats not true.*Diarrhea 2 million child deaths88% preventable

    *DD deaths have declined everywhere, but are not declining in sub-Saharan Africa as quickly as in other regions*Certainly improving health and increasing survival is one of the paramount reasons for USAID investment in WSH. To achieve that, one needs to work on three fundamental contributions etc, etc.This Hygiene Improvement Framework has also been adopted and adapted by other leading organizations, including UNICEF and the Water and Sanitation Program.*Currently, our major emphasis is on various household chlorination products, although we are also starting to look at various filtration options as well.

    In order, these are the Safe Water System (SWS), developed by Rob Quick and his colleagues at CDC, working with other partners, working closely with PSI, a major non-profit social marketing NGO.combined flocculent and disinfection products, which are especially useful and suitable when dealing with turbid water. We work closely with Procter & Gamble on applications for their product, PuR, shown here. and we are beginning work with Medentech, an Irish manufactuer of chlorine-based (dichloroisocyanurate) tablets for water disinfection. The tablets have advantages over chlorine solution in terms of transportability and shelf life. However, current implementation models rely on importation, not local production as for SWS, so that may be a concern in some settings.*which were subsequently adapted for use in branded advertising.