| Literature DB >> 16968967 |
Stella C E Anyangwe1, Chipayeni Mtonga, Ben Chirwa.
Abstract
The United Nations Millennium Development Goals (MDGs) are a series of 8 goals and 18 targets aimed at ending extreme poverty by 2015, and there are 48 quantifiable indicators for monitoring the process. Most of the MDGs are health or health-related goals. Though the MDGs might sound ambitious, it is imperative that the world, and sub-Saharan Africa in particular, wake up to the persistent and unacceptably high rates of extreme poverty that populations live in, and find lasting solutions to age-old problems. Extreme poverty is a cause and consequence of low income, food insecurity and hunger, education and gender inequities, high disease burden, environmental degradation, insecure shelter, and lack of access to safe drinking water and basic sanitation. It is also directly linked to unsound governance and inequitable distribution of public wealth. While many regions in the world will strive to attain the MDGs by 2015, most of the countries in sub-Saharan Africa, with major human development challenges associated with socio-economic disparities, will not. Zambia's MDG progress reports of 2003 and 2005 show that despite laudable political commitment and some advances made towards achieving universal primary education, gender equality, improvement of child health and management of the HIV/AIDS epidemic, it is not likely that Zambia will achieve even half of the goals. Zambia's systems have been weakened by high disease burden and excess mortality, natural and man-made environmental threats and some negative effects of globalization such as huge external debt, low world prices for commodities and the human resource "brain drain", among others. Urgent action must follow political will, and some tried and tested strategies or "quick wins" that have been proven to produce high positive impact in the short term, need to be rapidly embarked upon by Zambia and other countries in sub-Saharan Africa if they are to achieve the Millennium Development Goals.Entities:
Mesh:
Year: 2006 PMID: 16968967 PMCID: PMC3807514 DOI: 10.3390/ijerph2006030026
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Major trends in the attainment of the MDGs, by region, 2004
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| Reduce poverty by half | On track | High no change | Met | On track | On track | Increase | ····· | Low minimal improvement | Increase | Increase |
| Reduce hunger by half | On track | Very high no change | On track | On track | Progress but lagging | Increase | Moderate no change | On track | Low, no change | Increase |
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| Universal primary schooling | On track | Progress but lagging | Met | Lagging | Progress but lagging | High but no change | Progress but lagging | On track | Decline | On track |
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| Equal girls enrollment in primary schools | On track | Progress but lagging | Met | On track | Progress but lagging | Progress but lagging | On track | On track | Met | On track |
| Equal girls enrollment in secondary school | Met | No significant change | ····· | Met | No significant change | No significant change | Progress but lagging | On track | Met | Met |
| Literacy parity between young women and men | Lagging | Lagging | Met | Met | Lagging | Lagging | Lagging | Met | Met | Met |
| Women’s equal representation in national parliaments | Progress but lagging | Progress but lagging | Decline | Progress but lagging | Very low, small progress | Very low, no change | Progress but lagging | Progress but lagging | Recent progress | Decline |
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| Reduce mortality of under five years olds by two thirds | On track | Very high, no change | Progress but lagging | On track | Progress but lagging | Moderate, no change | Moderate no change | On track | Low no change | Increased mortality |
| Measles immunization | Met | Low no change | Progress but lagging | On track | Progress but lagging | On track | Decline | Met | Met | Met |
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| Reduce maternal mortality by three quarters | Moderate level | Very high level | Low level | High level | Very high level | Moderate level | High level | Moderate level | Low | Low |
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| Halt and reverse the spread of HIV/AIDS | ····· | Stable | Increase | Stable | Increase | ····· | Increase | Stable | Increase | Increase |
| Halt and reverse the spread of malaria | Low risk | High risk | moderate risk | moderate risk | moderate risk | Low risk | Low risk | Moderate risk | Low risk | Low risk |
| Hal and reverse the spread of TB | Low risk | High increasing | Moderate declining | High declining | High declining | Low declining | High increasing | Low declining | Moderate increasing | Moderate increasing |
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| Youth unemployment | High no change | High no change | Low increasing | Rapidly increasing | Low increasing | High increasing | Low increasing | Increasing | Low, rapidly increasing | Low, rapidly increasing |
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| Reverse loss of forests | Less than 1% of forests | Decline | Met | Decline | Small decline | Less than 1% forest | Decline | Decline except Caribbean | Met | Met |
| Half the proportion without improved drinking water in urban areas | High access but little change | Progress but lagging | Progress but lagging | Progress but lagging | On track | Progress but lagging | Low access no change | Progress but lagging | High access but limited change | High access but limited change |
| Half the proportion without sanitation in urban areas | On track | Low access no change | Progress but lagging | On track | On track | Met | High access but no change | High access but no change | High access but no change | High access but no change |
| Half proportion without sanitation in rural areas | Progress but lagging | No significant change | Progress but lagging | Progress but lagging | Progress but lagging | No significant change | No significant change | Progress but lagging | No significant change | No significant change |
| Improve the lives of slum dwellers | On track | Rising number and proportion of slum dwellers | Progress but lagging | On track | Some progress | Rising number and proportion of slum dwellers | ····· | Progress but lagging | Low but no change | Low but no change |
Source: Millennium Development Goals, 2004.
Key Socio-Economic Indicators of Zambia
| Population size (million) | 9.9 | 2000 | 11.4m (2005) |
| Annual population growth rate (%) | 2.5 | 2000 | |
| Life expectancy at birth (years) | 50 | 2000 | 37.5 (2005) |
| Real GDP per capita (US$) | 354 | 2002 | 877 (2005) |
| Domestic debt as % of GDP | 26 | 2002 | |
| External debt as % of GDP | 190 | 2002 | |
| Debt service as % of exports of goods and services | 13.7 | 2002 | |
| Human development Index (value) | 0.38 | 2003 | |
| Human Development Index (rank out of 175) | 163 | 2003 | 166 (2005) |
| Population below national poverty line (%) | 73 | 1998 | 63.7 (2005) |
| Prevalence of HIV/AIDS (15–49 years) | 16 | 2002 | |
| Percentage of underweight children under 5 years (%) | 28 | 2002 | |
| Infant mortality (per 1,000 live births) | 95 | 2002 | |
| Under five mortality (1,000 live births) | 168 | 2002 | |
| Maternal mortality (per 100,000 live births) | 729 | 2002 | |
| Adult literacy (%) | 67 | 2000 | |
| Net enrolment in primary education (%) | 72 | 2002 | |
| Population without access to safe drinking water supply (%) | 51 | 2002 | |
| Population relying on traditional fuels for energy use (%) | 83 | 2000 |
Source: Zambia MDG report 2003:
Estimate
MDG Progress report in Zambia: Status at a Glance
| Zambia’s Progress towards the Millennium Development Goals | ||||
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| Goals/Targets | Will target be met? | State of national support | ||
| 2005 | 2003 | 2005 | 2003 | |
Source: Zambia MDGs draft status reports 2003 and 2005
Trends in proportion of underweight children under five in Zambia
| Underweight children <5 years of age (%) | 25 | 28 | 12.5 |
| Stunted children <5years of age (%) | 40 | 47 | 20.0 |
| Wasted children <5 years of age (%) | 5 | 5 | 2.5 |
Source: Zambia MDGs report, 2003; LCMS, 2004
Trends in infant and child mortality indicators in Zambia
| Under-five mortality rate/1000 live births | 191 | 168 | 63 |
| Infant mortality rate/1000 live births | 107 | 95 | 35 |
| Proportion of 1 year-old children immunized against measles | No data | 99% | 99% |
Source: ZDHS, 2001–2002
Central Board of Health HMIS data base 2005
Figure 1Trends in Infant and Child Mortality. Source: ZDHS 2001–2002.
Trends in maternal mortality indicators in Zambia
| Maternal mortality ratio/100,000 live births | 649 | 729 | 162 |
| Proportion of births attended by skilled health personnel | 51% | 43% | 80% |
Source ZDHS 2001–2002
Figure 2Trends in Assisted Deliveries and Deliveries in Health Facilities 1992–2002. Source: ZDHS 2001–2002.
Ratio of trained medical human resources to population, for urban provinces (Copperbelt & Lusaka), rural provinces (averages for 7 provinces) and for total population of Zambia, 2005
| Lusaka | 6,247 | 7, 544 | 12, 397 | 3,799 | 5, 243 | 1,577 | 319,847 | 15,527 | 27,573 |
| Copperbelt | 8,998 | 9, 719 | 14, 425 | 5, 091 | 3, 599 | 1,567 | 55,076 | 16,523 | 23,006 |
| Average Rural | 43,313 | 10,970 | 74, 713 | 17, 324 | 11, 541 | 2,863 | 169,160 | 49,582 | 13,099 |
| Provinces National | 17,589 | 9, 787 | 27, 714 | 8, 822 | 6, 099 | 2,293 | 123,509 | 27,249 | 15,150 |
Sources: Ministry of Health 2005 (Verbal Communication)
Dr = Medical Doctor; CO = Clinical Officer; RM = Registered Midwife RN = Registered Nurse; ZEM = Zambia Enrolled Midwife; ZEN = Zambia Enrolled Nurse; EHT = Environmental Health Technician
Figure 3HIV prevalence rate by sex and by residence (urban/rural). Source: ZDHS 2001–2002
Figure 4Condom Use with Non Regular Sexual Partner during Most Recent Sexual Act. Source: Joint Review of the national HIV/AIDS/STI/TB Intervention Strategic Plan 2002–2005
Figure 5Total Number of Orphaned children in Zambia: 1985–2005. Source: Joint Review of the national HIV/AIDS/STI/TB Intervention Strategic Plan 2002–2005
Trends in malaria indicators in Zambia
| New malaria cases per 1000 | 255 | 377 | Less than 121 |
| Malaria fatality rates per 1000 | 11 | 48 | |
| Households with ITN | - | 14 |
Source: Zambia Demographic and Health Survey, 2001–2002.
ITN: Insecticide –Treated bed Net
Trends in forest resources in Zambia, 1990–2003
| Percentage of land covered by forest | 59.8 (1992) | 59.1 | 59.6 | 45 |
Source: Zambia MDGs draft status report 2005
Trends in proportion of population living in extreme poverty in Zambia
| % Total population living in extreme poverty | 58 | 46 | 29 |
| % Urban population living in extreme poverty | 32 | 74 | 16 |
| % Rural population living in extreme poverty | 81 | 52 | 40 |
LCMS, 2004
Top Five Causes of Morbidity and Mortality in Zambia, 1999–2004
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| Malaria | 311.9 | 387.8 | 383.2 | 36.3 | 26.5 | 33.0 |
| Respiratory Infections: Non Pneumonia | 125.8 | 148.0 | 152.9 | 28.6 | 17.4 | 48.1 |
| Diarrhoea Non Bloody | 59.8 | 80.0 | 74.7 | 69.6 | 53.9 | 62.5 |
| Eye Infections | 38.8 | 42.7 | 39.7 | 17.8 | 0.9 | 2.0 |
| Respiratory Infections: Pneumonia | 33.5 | 45.0 | 43.7 | 120.1 | 58.0 | 68.7 |
CFR= Case Fatality Ratio
Source: CBoH HMIS data base 2005
Trends in the indicators for safe drinking water and basic sanitation
| Percentage of households with access to an improved water source | ||||
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| Rural | 20 | 28 | 31.2 (2001) | 37 |
| Urban | 90 | 85.3 | 89.8 (2001) | 86 |
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| Rural | 6 | 2 | 2.9 (2001) | 57 |
| Urban | 47 | 45.9 | 44.8 (2001) | 80 |
Source: Zambia MDGs draft status report 2005
Data for 1991, 1996, and 2000 collected as “access to safe drinking water” which by definition is similar to 2003 on “access to an improved water source”
Data for 1991 1996, and 2000 collected as “access to sanitary means of excreta disposal” which is defined as access to flush toilet (whether private or communal) and ventilated pit latrines. This differs from the 2003 data on “improved sanitation” based on the UN (2003) definition which assumes that facilities such as a sewer or septic tank system, poor-flush latrines, simple pit or ventilated improved pit latrines are likely to be adequate, provided that they are not public or shared. Therefore, the 2003 data may not be comparable to that of the previous years.