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Action Contre la Faim<br />

Jon CUNLIFFE<br />

Kaouthar GHARBI<br />

Rachel SAUTREAU<br />

Mogadishu, Somalia<br />

June 30th 2000<br />

Anthropometrical Survey<br />

IDP Camps in Mogadishu<br />

Somalia<br />

17 - 27 June 2000


CONTENTS<br />

<strong>Page</strong> 3: Acknowledgements<br />

<strong>Page</strong> 4 – 6: Summary<br />

<strong>Page</strong> 7 – 8: Introduction<br />

<strong>Page</strong> 9: Objectives<br />

<strong>Page</strong> 10 - 11: Methodology<br />

<strong>Page</strong> 12 - 13: Data Collection<br />

<strong>Page</strong> 14: Indicators and Guidelines Used<br />

<strong>Page</strong> 15 - 24: Results<br />

<strong>Page</strong> 25 – 27: Discussion<br />

<strong>Page</strong> 28: Recommendations<br />

ANNEX 1: Map of Mogadishu (available only with printed version).<br />

ANNEX 2: Background Statistics and Information on Mogadishu (from <strong>ACF</strong>)<br />

ANNEX 3: List of population and names of all IDP camps in Mogadishu<br />

ANNEX 4: IDP camps used for cluster selection in the Nutritional Survey<br />

ANNEX 5: Schedule and selected clusters<br />

ANNEX 6: Explanation of Normalisation Tests<br />

ANNEX 7: Forms and Charts used in the Nutritional Survey<br />

ANNEX 8: Events Calendar<br />

ANNEX 9: Results of the previous Nutritional Surveys conducted by <strong>ACF</strong><br />

since 1994<br />

ANNEX 10: Collection of Mortality Statistics for the Survey<br />

2


ACKNOWLEDGEMENTS<br />

The Action Contre la Faim (<strong>ACF</strong>) Nutrition team would like to offer thanks to the<br />

following people for assisting them, and without whom this survey would not have been<br />

possible:<br />

- <strong>ACF</strong> Mogadishu Logistics and Security Teams<br />

- <strong>ACF</strong> Health Education Team<br />

- <strong>ACF</strong> Paris Nutrition Staff<br />

- European Community Humanitarian Office (ECHO)<br />

As usual <strong>ACF</strong> would like to thank, above all, the staff that have worked on the survey<br />

and the Internally Displaced People (<strong>IDPs</strong>) in Mogadishu who welcomed us and assisted<br />

us in performing this survey – in particular the Chairmen of the camps.<br />

3


OBJECTIVES<br />

SUMMARY<br />

• To quantify malnutrition rates in children aged between 6 and 59 months in the IDP<br />

(Internally Displaced Peoples Camps) in Mogadishu, Somalia.<br />

• To quantify the measles vaccination coverage in the IDP camps<br />

• To assess Therapeutic Feeding Centre coverage<br />

• To assess the period of time that <strong>IDPs</strong> have been in Mogadishu.<br />

• To quantify the mortality rate in the IDP camps, and the causes of mortality.<br />

• To assess the use of latrines and the amount of water used per person per day<br />

METHODOLOGY<br />

This survey was carried out in the IDP camps accessible to <strong>ACF</strong> in Mogadishu between<br />

the 17 th and 30 th of June 2000.<br />

Classic double cluster anthropometrics survey technique was employed (30 clusters of 30<br />

children – total 900 children surveyed).<br />

Only children aged between 6 and 59 months were included in the survey<br />

MALNUTRITION RATE<br />

Global acute malnutrition and Severe Acute Malnutrition of children from 6 – 59 months<br />

Expressed in z-scores (-2 z-scores<br />

for Global, -3 z-scores for<br />

Severe) and including bilateral<br />

oedema<br />

Expressed as a % of the Median<br />

(between 70 and 80% for Global,<br />


FEEDING CENTRE COVERAGE<br />

Feeding Centre coverage: 0 %<br />

PERIOD OF DISPLACEMENT:<br />

<strong>IDPs</strong> < 3 months<br />

<strong>IDPs</strong> 3 – 6 months<br />

<strong>IDPs</strong> 6 – 12 months<br />

<strong>IDPs</strong> greater than 1 year<br />

MORTALITY RATE<br />

Number and Percentage<br />

2 (0.2 %)<br />

6 (0.6 %)<br />

21 (2.1 %)<br />

992 (97.1 %)<br />

Mortality Rate of Children under five years: 7.08 / 10 000 / day<br />

Causes of Mortality: Diarrhoea: 55.6%<br />

Measles: 2.5%<br />

ARI: 6.2%<br />

Malaria: 2.5%<br />

Others / Unknown: 28.4%<br />

Mortality Rate of Adults: 0.67 / 10 000 / day<br />

Causes of Mortality: Diarrhoea: 65.5%<br />

Measles: 0%<br />

ARI: 0%<br />

Malaria: 0%<br />

Others / Unknown: 34.5 %<br />

USE OF LATRINES / AVERAGE QUANTITY OF WATER USED PER FAMILY:<br />

<strong>IDPs</strong> using latrines: 90%<br />

Mean quantity of water used per person per day: 12.46 Litres<br />

5


RECOMMENDATIONS<br />

• An evaluation into the effective area of coverage of the 4 TFCs in the city would assist<br />

in defining the future need for 4 TFCs in the city given the comparatively low rate of<br />

malnutrition found.<br />

• Active case finding and screening should be increased to ensure the early reference of<br />

the severely malnourished to the TFC.<br />

• At a minimum, a further nutritional survey should be undertaken on the same<br />

population in November 2000 – before the next Cholera outbreak. In addition, it<br />

would be useful to perform a survey on the Resident population of the town if at all<br />

possible.<br />

• Access to, knowledge of, and the quantity of free simple medical assistance (Health<br />

Posts, ORS points etc.) needs to be increased.<br />

• Evaluate, strongly supervise and if necessary re-orientate Health Education Activities.<br />

• Increase supervision of Vaccination activities.<br />

• Perform regular statistically viable surveys of the vaccination coverage and mortality<br />

on a two monthly basis.<br />

• Improve supervision of Health Education activities and evaluate the impact of the<br />

Health Education given.<br />

• The system of the collection of information about the movements of population into<br />

the city of Mogadishu should be reviewed.<br />

• The use of the 125mm cut-off point with the muac to indicate Global Acute<br />

Malnutrition should be studied further in a maximum of Anthropometrical Nutrition<br />

Surveys.<br />

6


INTRODUCTION<br />

Mogadishu needs little introduction. Since the collapse of the Somali State in 1991, and<br />

the withdrawal of the United Nations forces in 1995 Mogadishu has been in a state of<br />

anarchy and chaos. The town is effectively split into 2, with the North and South<br />

separately controlled. In addition there is an enclave called Medina in the Southern<br />

controlled area. A map of Mogadishu is enclosed as Annex 1. Since this time there has<br />

been a steady decrease in the presence of Humanitarian Organisations in Mogadishu. At<br />

the time of writing, <strong>ACF</strong> is the only Humanitarian Organisation left in Mogadishu with a<br />

permanent Expatriate presence in both the North and the South of Mogadishu.<br />

<strong>ACF</strong> has been operating in Somalia since 1990. The present programme in Mogadishu<br />

includes 4 Therapeutic Feeding Centres (TFCs) in the city – at Medina, Towfiq, Hodan<br />

and Forlanini (in the North). In addition there is an ongoing Water and Sanitation<br />

Programme that works in the IDP camps around the city on latrine construction, and the<br />

chlorination of wells. <strong>ACF</strong> also has an Expanded Programme of Immunization (EPI)<br />

team working in the IDP camps in the South of Mogadishu. Finally, Health Education<br />

teams are active both in the South and the North in the IDP camps.<br />

This Nutritional Survey is the first statistically relevant anthropometric nutritional survey<br />

to be conducted in Mogadishu since 1995. It is hoped that the results of this Nutritional<br />

Survey will help provide some ideas about the impact of some of the programmes that<br />

Agencies have been running since that time, and suggest ways of developing projects in<br />

the future.<br />

The survey took place between the 17 th and 27 th of June 2000 in the Internally Displaced<br />

People (IDP) camps accessible to Action Contre la Faim (<strong>ACF</strong>) in and around both North<br />

and South Mogadishu. These IDP camps represent around 57% of the total population of<br />

<strong>IDPs</strong> in Mogadishu.<br />

An obvious result of the lack of Humanitarian Presence in Mogadishu, is that it proved to<br />

be difficult to find background information about the current Humanitarian situation of<br />

the <strong>IDPs</strong> in Mogadishu. The following agencies (amongst others) were contacted by <strong>ACF</strong><br />

prior to this survey in order to obtain further background information about Mogadishu:<br />

- Food Security Alert Unit (FSAU)<br />

- United Nation Co-ordination Unit (UNCU)<br />

- Food and Agricultural Office (FAO)<br />

- United Nations World Food Programme (UNWFP)<br />

- Save the Children Fund United Kingdom (SCF/UK)<br />

In addition, over the last few years <strong>ACF</strong> has collated some information on Mogadishu.<br />

This information includes information on TFC attendance, the numbers of reported<br />

Influxes and Outflows from the IDP camps, and the presence of contagious diseases in<br />

the IDP camps visited by the <strong>ACF</strong> Health Educators. This information has been used to<br />

7


help in the interpretation of results of the Nutritional Survey and has been included in<br />

Annex 2.<br />

The Nutritional Survey took place at the time when the 1 st rainy season was in process<br />

(the ‘Gu’ season). This year the rains have arrived in Mogadishu, as in everywhere else in<br />

the country. As the population of Mogadishu has become increasingly reliant on<br />

agricultural activities, this may have some significance in the survey results, as it<br />

correlates with a time of a traditional ‘Hunger Gap’ – i.e. the period prior to harvesting.<br />

Market prices of sorghum and maize, stable parts of the diet of the population, have<br />

increased during the period prior to the Nutritional Survey by around 3%. This first half<br />

of the year (January – June), is in addition, corresponding with the period of time when<br />

there is the majority of the admissions into the <strong>ACF</strong> TFCs (see Annex 2).<br />

The Cholera outbreak was just starting to tail off during the Nutritional Survey. This<br />

assumption corresponded with both the traditional period for the end of the Cholera<br />

outbreak, and the statistics for the Cholera Treatment Centres in the town (all of which<br />

were reducing).<br />

Although its extremely difficult to say with any certainty, a hypothesis could be made<br />

that the IDP population is likely to be more vulnerable than the normal resident<br />

population of the town of Mogadishu. Their income generating activities are limited (See<br />

Annex 2 – for income generating activities of <strong>IDPs</strong> and how much each activity pays).<br />

What better possibilities for employment that there are in the city are generally taken by<br />

the resident population. (Ref: Broudic, C., 1997, Socio – Economic Context of the<br />

Vulnerable Population in Mogadishu, Nairobi, <strong>ACF</strong>).<br />

In <strong>ACF</strong>s 4 TFCs in Mogadishu, <strong>IDPs</strong> are twice as likely to frequent the TFCs as residents<br />

of Mogadishu (<strong>IDPs</strong> comprising approximately 20% of the population make up globally<br />

45% of the admissions in the 4 TFCs).<br />

The IDP population was consequently chosen as the target group for the <strong>ACF</strong> Nutrition<br />

survey for the following reasons:<br />

- Security and Access, the presence of <strong>ACF</strong> in these camps for an extended<br />

period of time meant that they were considered safe to visit.<br />

- Overall, this group was considered to represent a part of the population that<br />

was likely to be affected by malnutrition.<br />

Population figures for Mogadishu vary considerably depending with who they are<br />

discussed. <strong>ACF</strong> based its population figures on available information from the Elders, the<br />

<strong>ACF</strong> Water and Sanitation team, and, the <strong>ACF</strong> Health Education team. The IDP<br />

population of Mogadishu has built up considerably over the last 10 years. Their reasons<br />

for displacement are varied, but drought, famine and war have all had an important part<br />

to play in the last few years.<br />

It was estimated that 237,000 people live in the IDP camps in and around Mogadishu;<br />

approximately 135,000 of them (57% of the IDP population) were included in the survey.<br />

8


OBJECTIVES<br />

• To quantify malnutrition rates in children aged between 6 and 59 months in the IDP<br />

(Internally Displaced Peoples Camps) in Mogadishu, Somalia.<br />

• To quantify the measles vaccination coverage in the IDP camps<br />

• To assess Therapeutic Feeding Centre coverage<br />

• To assess the period of time that <strong>IDPs</strong> have been in Mogadishu.<br />

• To quantify the mortality rate in the IDP camps, and the causes of mortality.<br />

• To assess the use of latrines and the amount of water used per person per day<br />

9


METHODOLOGY<br />

The target population for the survey was children aged between 6 and 59 months. This<br />

age group is considered to be particularly vulnerable to malnutrition.<br />

1. Survey Design<br />

Classic two-stage cluster sampling was used for the survey. A total of 30 clusters of 30<br />

children aged 6 to 59 months old were selected in order to provide an estimate of the<br />

prevalence of malnutrition with a minimum 5% confidence.<br />

2. Sampling methodology<br />

Initially a sampling framework was constructed from which a representative sample<br />

could be drawn from. Population figures were collected from a variety of sources (<strong>ACF</strong><br />

Water and Sanitation Team, <strong>ACF</strong> Health Education Team Statistics and IDP camp<br />

Elders). Only camps that were accessible to <strong>ACF</strong> were included in the sampling<br />

framework. Annexes 3 and 4 details those camps the camps and their populations that<br />

were included in the survey as well as those that could not be included.<br />

The percentage of children less than 5 years was then estimated at 20% and the<br />

cumulative target population determined. For each section of the town the estimated<br />

population, and the estimated number of children under 5 was then listed. The cumulative<br />

population of children under 5 years old was then calculated by adding at each stage of<br />

the list the number of children under 5 years to the total of the number of children under 5<br />

years in the previous section(s) of the town.<br />

Thirty clusters were randomly selected. The cluster interval was calculated by dividing<br />

the total cumulative population under five years old by the number of clusters: (22962 /<br />

30 = 765). A random number was then chosen between one and the cluster interval using<br />

a random number table to have a starting number (51) for the first cluster. The following<br />

29 clusters were selected systematically by adding the cluster interval number to the<br />

previous cluster. Details can be found in Annex 5.<br />

Once this list had been completed, the <strong>ACF</strong> Health Education team visited each chosen<br />

cluster prior to the day of the survey to inform the people about the survey, the purpose of<br />

the survey, and to ask that the population of the cluster stay at home on the day of the<br />

survey.<br />

The second stage of sampling was carried out in the cluster. In general, one member of<br />

the team went to the centre of the chosen area with the chief of the community and threw<br />

a pencil to determine a direction and all the households following this direction were<br />

visited and all the children found in the houses between 6 and 59 months, and between 65<br />

and 110 cm, were screened. However, due to the nature of the IDP camps in Mogadishu<br />

10


this was not always possible, and alternative methods of selecting the second stage of the<br />

sampling had to be used.<br />

Some of the clusters were buildings, with the whole cluster split between the three or 4<br />

different floors of the building, the roof of the building, and the area outside of the<br />

building. In this case, all these areas were given a number. A random number was then<br />

drawn and the area that had the same allocated number as the random number was used<br />

for the sample, and then the second stage of sampling was carried out in this area (as<br />

described above). If the area was exhausted of children before the required 30 had been<br />

reached, a further area was randomly selected.<br />

In other clusters the choice of direction was limited to 2, as the cluster stretched, for<br />

example, along the side of a road.<br />

If a child was absent, contrary to standard Nutritional Survey techniques, the team did not<br />

make an appointment to come back and see the child. This was because of the security<br />

constraint of limited movement and time on the ground to a minimum. However, if the<br />

child was in the hospital or Therapeutic Feeding Centre the team visited the child there<br />

and recorded his measurements – but only if this structure was accessible for <strong>ACF</strong><br />

Expatriate supervised teams. If the limit of the section was reached before completing the<br />

cluster, the team returned back to the centre of the cluster and the second stage of<br />

sampling was started again.<br />

In the event that insufficient children were found in the selected camp, the nearest camp<br />

to the selected camp was visited and the outstanding number of children surveyed from<br />

this site using the same methodology as outlined above.<br />

3 teams were used to collect the survey data. Each team comprised of a qualified <strong>ACF</strong><br />

Expatriate Nurse Nutritionist for the supervision, a Registrar to record the details and ask<br />

the supplementary questions, and 2 Measurers to take the anthropometric measurements.<br />

A week of training prior to the survey was completed with the teams. This training was<br />

focussed on the correct taking of anthropometric measurements. In the last 3 days,<br />

Normalisation tests were completed with the staff to ensure an optimal precision was<br />

obtained. (Annex 6 details how these tests are undertaken and how the results are<br />

interpreted).<br />

11


Data Collection<br />

The forms used to collect the information are included as Annex 7.<br />

Age: was recorded with the help of a local calendar of events (see Annex 8). Only<br />

children between the ages of 6-59 months were included in the survey. If the age could<br />

not be ascertained only the children between 65 and 110 cm were included in the survey.<br />

Weight: Children were weighed without clothes using a 25 kg Salter scale (precision of<br />

100g).<br />

Height: Each child was measured using a height board (precision of 0.1 cm). Children<br />

less than 85 cm in height had to be measured lying down. Children equal to or more than<br />

85 cm were measured standing up.<br />

Mid upper arm circumference (MUAC): This was measured to the nearest 0.1cm. The<br />

MUAC was measured at the mid point of the left upper arm.<br />

Oedema: Only children with bilateral oedema on the lower limbs were recorded as<br />

having nutritional oedema.<br />

Mortality: This was taken retrospectively. Each family was asked the composition of<br />

their family in two parts – those family members less than 5 years, and those family<br />

members more than 5 years. The family was then asked how many people had died in the<br />

last three months – for both the under 5 years of age, and those over 5 years. The 3-month<br />

period was easy to define because ‘Atha’ (an important religious event) had finished<br />

almost exactly 3 months ago on the 16 th March 2000.<br />

If the family was without a child of less than 5 years, even though no anthropometric<br />

information could be obtained, the family was still asked if they had had a child who had<br />

died during the last 3 months and this information was collected.<br />

The overall mortality was calculated by taking the total number of dead and multiplying<br />

this figure by 10,000. This figure was then divided by the total population 3 months<br />

previously. Finally it was divided again by 98. Ninety-eight represented the average<br />

number of days from ‘Atha’ to the survey. As the survey took place over a relatively<br />

long period of time (9 days - due to the security constraints), the number of days between<br />

‘Atha’ and the 5 th day of the survey was calculated (98).<br />

If a family said that their child had died, the team asked the family to explain what the<br />

signs and symptoms were of the child’s illness before he/she died. The team then<br />

compared this information with the simple case definitions below.<br />

Diarrhoea: More than 3 liquid stools per day.<br />

Measles: Spots, Fever, Mouth Infection, Chest Infection, Eye Infection (more than 3<br />

signs considered enough to identify the cause as Measles).<br />

12


ARI: (Acute Respiratory Infection). Cough, Shortness of Breath, Fever<br />

Malaria: High Fever, Coma<br />

Malnutrition: Anorexia, loss of weight, oedema<br />

Others: All other causes<br />

Measles vaccinations: For all children from 9 to 59 months the mothers were asked for<br />

vaccination cards. The vaccination card was then checked. If no vaccination card was<br />

available, the mothers were asked if their child had been immunised against measles.<br />

Length of time in Mogadishu: The 4 periods of time that were used fitted in with<br />

significant local events to enable the team to say accurately how long the families had<br />

been displaced for. The 4 periods of time considered were up to 3 months (this correlated<br />

with the time from ‘Atha’ to the day of the survey, 3 – 6 months (this correlated with the<br />

period of time between ‘Atha’ and the end of ‘Ramadan’), 6 – 12 months (this correlated<br />

with the period of time between ‘Ramadan’ and ‘Mawlid’) and greater than 12 months<br />

(this correlated with the period of time after ‘Mawlid’).<br />

Frequentation of the <strong>ACF</strong> Therapeutic Feeding Centre: Those children who were<br />

found in the criteria of severe malnutrition were considered not to frequent the <strong>ACF</strong><br />

Therapeutic Feeding Centre. Only when a child was not be found at home and was found<br />

instead at the TFC and was still in the criteria of severe malnutrition was he considered to<br />

frequent the centre.<br />

Latrine Use: Families were simply asked whether they used a latrine or not.<br />

Water Consumption: The quantity of water per day used by the entire family was<br />

estimated by families and recorded. As the number of people in the family was recorded<br />

in the mortality data, it was possible to work out the average personal consumption.<br />

13


Indicators and guidelines used<br />

Acute malnutrition rates were estimated from the weight for height index values. Weight<br />

for height index was calculated using National Centre for Health Statistics as a reference.<br />

This is considered the most appropriate index to quantify wasting in a population in<br />

emergency situations where acute forms of malnutrition are the predominant pattern. The<br />

expression in Z-scores has a true statistical meaning and allows inter-study comparison.<br />

The percentage of the median is commonly used to identify eligible children for feeding<br />

programmes.<br />

Guidelines for the results expressed in Z-Score:<br />

• Severe acute malnutrition is defined by W/H < -3 SD and/or oedema<br />

• Global acute malnutrition is defined by W/H < -2 SD and/or oedema<br />

Guidelines for the results expressed in percentage of the reference median:<br />

• Severe acute malnutrition is defined by W/H < 70 % and/or oedema<br />

• Global acute malnutrition is defined by W/H < 80 % and/or oedema<br />

Mid Upper Arm Circumference (MUAC) is a useful tool for rapid screening of children<br />

at a higher risk of mortality. MUAC changes only marginally between 12 and 59 months<br />

of age (75 to 110 cm height group) and therefore does not need to be related to the age. It<br />

is a reliable indicator of the muscular status of the child and is mainly used to identify<br />

children with a high risk of mortality. The cut off values can vary according to authors;<br />

the following figures were used for this survey:<br />

• Low risk of mortality: MUAC ≥ 120mm<br />

• Moderate risk of mortality: 110 mm ≤ MUAC < 120 mm:<br />

• Severe risk of mortality: MUAC < 110 mm<br />

Admission and discharge criteria in Action Contre la Faim feeding centres:<br />

Therapeutic Feeding W/H < 70% of the median<br />

and /or bilateral oedema<br />

and /or Muac < 11 cm for height ≥75 cm<br />

Supplementary Feeding W/H < 80% of the median<br />

and /or 11 85% for 2 consecutive weighing<br />

Absence of bilateral oedema 15 days<br />

MUAC > 12 cm<br />

Ascending weight curve<br />

W/H > 85% for 2 consecutive weighing<br />

MUAC > 12 cm<br />

Ascending weight curve


RESULTS<br />

The data processing and analysis were carried out using the programme EPI-INFO 5.0.<br />

The calculation and the analysis of the anthropometrical indications were carried out<br />

using the EPINUT programme. All children between 6 and 59 months were recorded and<br />

analysed.<br />

1. Distribution by age and sex<br />

TABLE 1: DISTRIBUTION BY AGE AND BY SEX<br />

AGE CLASS BOYS GIRLS | TOTAL SEX RATIO<br />

N % N % | N %<br />

___________________________________________|______________________<br />

06-17 124 54.6% 103 45.4% | 227 25.2% 1.20<br />

18-29 154 58.6% 109 41.4% | 263 29.2% 1.41<br />

30-41 105 57.1% 79 42.9% | 184 20.4% 1.33<br />

42-53 95 52.8% 85 47.2% | 180 20.0% 1.12<br />

54-59 22 47.8% 24 52.2% | 46 5.1% 0.92<br />

___________________________________________|______________________<br />

TOTAL 500 55.6% 400 44.4% | 900 100.0% 1.25<br />

The results show that there were a higher number of boys than girls included in the<br />

survey. For every 5 boys sampled, only 4 girls were surveyed.<br />

2. Nutritional status<br />

The global acute malnutrition rate expressed as a Z-Score was 12.9% (95% Confidence<br />

Interval (CI: 10.0 – 16.5 %), including 2.0 % of severe malnutrition (CI: 1.0 – 3.9 %).<br />

Expressed as a percentage of the median, the overall global acute malnutrition rate was<br />

9.0 % (CI: 6.5 – 12.2 %), including 1.6 % (CI: 0.7 – 3.3 %) of severe malnutrition.<br />

Z-SCORE 2.0 %<br />

(1.0 – 3.9 %)<br />

% OF MEDIAN 1.6 %<br />

(0.7 – 3.3 %)<br />

SEVERE GLOBAL<br />

15<br />

12.9 %<br />

(10.0 – 16.5 %)<br />

9.0 %<br />

(6.5 – 12.2 %)<br />

Among the severely malnourished 6 cases of Oedema were found during the survey.


Weight for height index distribution<br />

F<br />

r<br />

e<br />

q<br />

u<br />

e<br />

n<br />

c<br />

y<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

-4.75<br />

-3.75<br />

-2.25<br />

-0.75<br />

0.75<br />

2.25<br />

3.75<br />

Z-SCORE<br />

The distribution of weight for height index expressed in Z-score, in comparison to the<br />

reference curve, appears to the left of that of the reference population. This shows that the<br />

nutritional status of the children in the displaced camps is lower than that of the reference<br />

population. The mean weight for height index expressed as Z-score is -0,99 with a<br />

standard deviation of 0,90.<br />

16<br />

5<br />

Reference<br />

Sex Combined


Height for Age Distribution Curve<br />

F<br />

R<br />

E<br />

Q<br />

U<br />

E<br />

N<br />

C<br />

Y<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

-4.75<br />

-3.75<br />

-2.25<br />

-0.75<br />

0.75<br />

Z-SCORE<br />

The distribution of height for age index expressed in Z-score, in comparison to the<br />

reference curve, appears to the left of that of the reference population. This shows that the<br />

long-term nutritional status of the children in the displaced camps is lower than that of<br />

the reference population. The mean height for age index expressed as Z-score is –1.71<br />

with a standard deviation of 1.28.<br />

3. Anthropometric analysis<br />

2.25<br />

3.75<br />

3.1 Distribution in Weight for Height Z-scores<br />

TABLE 2: WEIGHT/HEIGHT: DISTRIBUTION BY GROUP OF AGE IN Z SCORES<br />

=-3&=-2 STD OEDEMA<br />

N n % n % n % n %<br />

___________________________________________________________<br />

06-17 227 6 2.6% 23 10.1% 196 86.3% 2 0.9%<br />

18-29 263 4 1.5% 35 13.3% 222 84.4% 2 0.8%<br />

30-41 184 1 0.5% 23 12.5% 159 86.4% 1 0.5%<br />

42-53 180 1 0.6% 14 7.8% 164 91.1% 1 0.6%<br />

54-59 46 0 0.0% 3 6.5% 43 93.5% 0 0.0%<br />

___________________________________________________________<br />

TOTAL 900 12 1.3% 98 10.9% 784 87.1% 6 0.7%<br />

17<br />

5<br />

Reference<br />

Sex Combined


TABLE 3: WEIGHT/HEIGHT: DISTRIBUTION BY HEIGHT IN Z SCORES<br />

Global acute malnutrition<br />

Severe acute malnutrition<br />

Total children Children < 80 cm<br />

n=900 n=400<br />

12,9 %<br />

(CI: 10.9%-16.5%)<br />

2,0 %<br />

(CI: 1.0%-3.9%)<br />

18<br />

16,0 %<br />

(CI: 11.3%-22.2%)<br />

3,3 %<br />

(1,3%-7,1%)<br />

TABLE 4: WEIGHT/ HEIGHT: DISTRIBUTION BY AGE IN Z SCORES<br />

Global acute malnutrition<br />

Severe acute malnutrition<br />

6-59 months 6 - 29 months<br />

n=900 n=400<br />

12,9 %<br />

(CI: 10.9%-16.5%)<br />

2,0 %<br />

(CI: 1.0%-3.9%)<br />

14,7 %<br />

(CI: 10.6%-20.0%)<br />

2.9 %<br />

(1,2%-6.1%)<br />

In tables 2, 3 and 4 it can be seen that younger children are more prone to both Global<br />

Acute Malnutrition and Severe Acute Malnutrition. The comparison was made using both<br />

the height and the age of the children. A height of less than 80cm usually implies an age<br />

of less than 2 years.<br />

TABLE 5: WEIGHT/HEIGHT INDEX VS. OEDEMA (Z SCORES)<br />

OEDEMA<br />

-2Z<br />

MARASM/KWASH KWASHIORKOR<br />

YES 3 0.3% 3 0.3%<br />

MARASMUS NORMAL<br />

NO 110 12.2% 784 87.1%


4.2 Distribution in % of the Median<br />

TABLE 6: MALNUTRITION BY AGE EXPRESSED AS % OF MEDIAN<br />

=70%&=80% OEDEMA<br />

N n % n % n % n %<br />

____________________________________________________________________<br />

06-17 227 2 0.9% 19 8.4% 204 89.9% 2 0.9%<br />

18-29 263 4 1.5% 24 9.1% 233 88.6% 2 0.8%<br />

30-41 184 1 0.5% 17 9.2% 165 89.7% 1 0.5%<br />

42-53 180 1 0.6% 6 3.3% 172 95.6% 1 0.6%<br />

54-59 46 0 0.0% 1 2.2% 45 97.8% 0 0.0%<br />

____________________________________________________________________<br />

TOTAL 900 8 0.9% 67 7.4% 819 91.0% 6 0.7%<br />

TABLE 7: WEIGHT/HEIGHT: DISTRIBUTION BY GROUP OF AGE IN % OF<br />

MEDIAN<br />

Global acute malnutrition<br />

Severe acute malnutrition<br />

6-59 months 6 - 29 months<br />

n=900 n=400<br />

9.0 %<br />

(CI: 6.5%-12.2%)<br />

1.6 %<br />

(CI: 0.7%-3.3%)<br />

19<br />

10.8 %<br />

(CI: 7.3%-15.7%)<br />

2.0 %<br />

(0.7%-5,0%)<br />

TABLE 8: WEIGHT/HEIGHT INDEX vs. OEDEMA (% OF MEDIAN)<br />

80%<br />

MARASM/KWASH KWASHIORKOR<br />

YES 3 0.3% 3 0.3%<br />

OEDEMA<br />

MARASMUS NORMAL<br />

NO 75 8.3% 819 91.0%


4.3 Distribution of brachial circumference (MUAC)<br />

4.3.1 MUAC vs. Height<br />

The MUAC distribution versus the height among the target population is shown below.<br />

The following cut-off points for the height are used: 75 cm as an average for a 1 year old<br />

child, 90 cm for children of 3 years old, and 110 cm for children of 5 years old.<br />

TABLE 9: MUAC VERSUS HEIGHT<br />

MUAC


WHZ < -3 Z<br />

STD<br />

-3STD


Children should be considered as vaccinated only when a card proves that the vaccination<br />

has been given. Unverified information from the mother stating that her child has had<br />

measles cannot be confirmed and therefore cannot be considered as statistically<br />

significant information. When the unverified information of the mother is taken into<br />

account the total is 73.4% of the children vaccinated.<br />

6. Coverage of Nutrition Programmes<br />

The coverage of Feeding Centre programmes is estimated through comparing the number<br />

of severe malnourished children in Therapeutic Feeding programmes the day of the<br />

survey with the number of children found with severe acute malnutrition found in the<br />

survey, according to the <strong>ACF</strong> criteria (i.e. admission in feeding centre W/H < 70% of the<br />

median and/or oedema and/or MUAC


8. Mortality rate and Causes of Mortality<br />

The overall mortality was calculated by taking the total number of dead and multiplying<br />

this figure by 10,000. This figure was then divided by the total population 3 months<br />

previously. Finally it was divided again by 98. Ninety-eight represented the average<br />

number of days from ‘Atha’ to the survey. As the survey took place over a relatively<br />

long period of time (9 days - due to the security constraints), the number of days between<br />

‘Atha’ and the 5 th day of the survey was calculated (98).<br />

The total number of recorded deaths over the last 98 days was 81 for the children underfive<br />

years of age, and 29 for the population over five years of age (see Annex 10).<br />

The mortality rate for under-five children was calculated as being 7.08 / 10,000/ day in<br />

the <strong>IDPs</strong> camps. This rate is very high, as a rate of more than 1 / 10,000 / day is<br />

considered above the norm. The reasons for mortality are cited below:<br />

CAUSE NUMBER % OF TOTAL DEATHS<br />

DIARRHOEA 45 55.6<br />

MEASLES 2 2.5<br />

ARI 5 6.2<br />

MALARIA 2 2.5<br />

MALNUTRITION 4 4.9<br />

OTHER 23 28.4<br />

TOTAL 81 100<br />

The mortality rate for the population over 5 years of age was calculated as being 0.67 /<br />

10,000 / day in the <strong>IDPs</strong> camps. This rate is high for a population above 5 years of age.<br />

The reasons for mortality are cited below:<br />

CAUSE NUMBER % OF TOTAL DEATHS<br />

DIARRHOEA 45 65.5<br />

MEASLES 2 0<br />

ARI 5 0<br />

MALARIA 2 0<br />

MALNUTRITION 4 0<br />

OTHER 23 34.5<br />

TOTAL 81 100<br />

Note that in both cases Diarrhoea is the most important cause of mortality and represents<br />

well over half of all the recorded deaths.<br />

23


9. Use of latrines and average quantity of water used per person per day.<br />

For the latrine usage, families were simply asked whether or not they used latrines, and a<br />

simple ‘yes’ or ‘no’ answer recorded.<br />

No of sampled people using latrine: 919 (90%)<br />

The average quantity of water used per person was calculated by asking the family for the<br />

total quantity of water they used and dividing it by the number of people in the family:<br />

Average quantity of water used per person per day: 12.46 Litres<br />

24


Anthropometrical Results<br />

DISCUSSION<br />

The Nutritional Survey results would indicate that the nutritional situation amongst the<br />

<strong>IDPs</strong> in Mogadishu is still poor – although not catastrophic. At the same time additional<br />

information collected in the survey indicates an extremely high rate of mortality amongst<br />

young children. The two pieces of information could in fact be complimentary. Children<br />

who are malnourished have a higher risk of mortality – having less resistance to<br />

infections and a poorer ability to cope with them when they do catch them.<br />

Younger children (i.e. those between 65cm and 80cm or those between 6 and 29 months)<br />

appear to be more at risk of severe malnutrition than older children. One possible<br />

explanation for this is that a lack of health education has meant that parents have poor<br />

breastfeeding and weaning habits, making these children particularly vulnerable. A<br />

further possibility is that these children are generally physiologically more vulnerable to<br />

infections and illnesses than older children. One likely consequence of these infections is<br />

a drop in Nutritional Status – more energy being required to fight the infections coupled<br />

with a potential loss of appetite.<br />

It proved to be difficult even with the assistance of an Events Calendar and strong<br />

Expatriate supervision to gain truly valid information about the age of the children in<br />

certain cases. However, even given this difficulty the Height for Age distribution curve<br />

would indicate that stunting is a significant problem. This could be expected, given the<br />

context of civil war and the breakdown of central authority that the <strong>IDPs</strong> have been living<br />

in for the last 5 years.<br />

As usual there is a difference in the rate of malnutrition when a comparison is made<br />

between the Z score results and the % of the Median results. However in both cases the<br />

situation is poor.<br />

Although no statistical comparison can be made between clusters, it was observed that<br />

malnutrition appeared to not be universal in the IDP camps. Camps in South Mogadishu<br />

appear to be in a worse state than those in the North.<br />

The IDP camps sampled are those where <strong>ACF</strong> has access – for referral to Therapeutic<br />

Feeding Centres, for Health Education sessions, and for Water and Sanitation work.<br />

Some other camps are being accessed by other agencies. But globally, it would be fair to<br />

say that the camps that were sampled are generally better supported than other camps<br />

around the city. Consequently, there is a high probability that the situation in those camps<br />

not sampled by <strong>ACF</strong> is worse than that outlined above.<br />

The hypothesis has been put forward that the population of the IDP camps surveyed was<br />

one of the groups of the overall Mogadishu population that was considered the most<br />

25


vulnerable to malnutrition. It would be interesting to pursue this theory further in the<br />

future by performing a further Nutritional Survey on the town population of Mogadishu.<br />

The last major Nutritional Survey to cover the <strong>IDPs</strong> (see Annex 10) was completed<br />

almost exactly 5 years ago between the 7 th and 20 th June 1995 (performed by <strong>ACF</strong>). The<br />

Global Acute Malnutrition rate (in Z scores) was 26.3% (CI: 22.3% - 30.8%). The Severe<br />

Acute Malnutrition rate (in Z scores) was 5.4% (CI: 3.5% - 8.1%). Although there has<br />

been a significant drop since this time (13.4% drop in Global Acute Malnutrition and<br />

3.4% in Severe Acute Malnutrition), there still remains a considerable problem.<br />

There is agreement between different agencies working in Somalia (Nutrition Working<br />

Group, 1999, ‘Nutrition Survey – Recommendations for Somalia’, Nairobi) that a MUAC<br />

of less than 125mm is equivalent to Global Acute Malnutrition. In this Nutrition Survey<br />

145 children (16.1%) were found with a MUAC of less than 125mm. Only 62 (42%) of<br />

these 145 children had in addition a corresponding weight for height score of less than 2<br />

Z scores. It would appear that using the MUAC of less than 125mm as a criterion of<br />

Global Acute Malnutrition is:<br />

- In this sample raising the overall Global Acute Malnutrition Rate by 24.8%<br />

- Corresponds on an individual basis with the Statistically correct Z scores only<br />

42% of the time.<br />

Vaccination Coverage<br />

The correct vaccination coverage for measles is low. This is the normal situation at the<br />

moment in Somalia. Yet at the same time, the coverage appears to be particularly when<br />

account is take of the fact that <strong>ACF</strong> have been conducting an ongoing measles<br />

vaccination campaign (see Annex 2) which would indicate a far greater % of the<br />

population has been properly vaccinated than the survey indicates. It is interesting that a<br />

larger number of people said that there child had been vaccinated but were unable to<br />

produce the vaccination card. No firm explanation can be offered for this difference.<br />

5 years ago, in June 1995, the confirmed vaccination coverage for measles was 39.8%. It<br />

now stands at 10%. This is a massive reduction in confirmed coverage, and highlights the<br />

difficulties in undertaking vaccination activities in the context of Mogadishu. At the same<br />

time it has to be considered a weakness of the <strong>ACF</strong> vaccination team.<br />

Length of time displaced<br />

97.1% of the <strong>IDPs</strong> have now spent at least one year in Mogadishu. This does not<br />

correspond at all with the figures for the population influxes that <strong>ACF</strong> Health Education<br />

team collects each month (see Annex 2), which would indicate a much higher influx of<br />

new <strong>IDPs</strong> into the city over the last 12 months (around 10% of the population). The<br />

conflicting nature of these results would suggest that there is a need to review how this<br />

information is being collected on the ground.<br />

26


Mortality<br />

In global, the overall figure for mortality is extremely alarming. The fact that 55% of the<br />

mortality is due to Diarrhoea, and that latrine coverage is 90%, can only enhance this<br />

alarm. Some possible explanations, which could partially explain this, include the<br />

following:<br />

- The mortality was taken during the last three months, which corresponded<br />

with the peak in the Cholera outbreak and it is notable that Diarrhoea<br />

represents at least 55% of all the mortality. No attempt was made in the<br />

survey to differentiate between Common Diarrhoea and Cholera.<br />

- The overall impact of Health Education activities (many focussed on Hygiene<br />

and Diarrhoea) conducted in the IDP camps is probably less than anticipated.<br />

- A number of places in Mogadishu treat the main possible consequence of<br />

Diarrhoea (dehydration) freely. There would appear to be a lack of knowledge<br />

of their presence and purpose, or a potential problem of access to them, or<br />

finally not enough of them available to serve the needs of the population.<br />

- In Mogadishu it is generally accepted that the overall Sanitation situation in<br />

the town is poor. Improvements in not just the latrine coverage, but also the<br />

collection and disposal of rubbish, and the water distribution system would be<br />

needed to make a better impact on the Sanitation conditions. These actions<br />

together would probably diminish the number of cases of Diarrhoea. The<br />

impact of one action alone (latrine building) may not be enough.<br />

- Other diseases, such as malaria or measles, could be presenting a primary<br />

observed symptom of Diarrhoea.<br />

Given this high rate of mortality due to Diarrhoea, it would be useful to perform a further<br />

Nutritional survey after the end of the Cholera season to see if this figure changes. It<br />

would also be interesting to perform a further statistically relevant survey on mortality<br />

alone in the near future.<br />

Water and Sanitation<br />

Globally, the number of people claiming to use latrines is encouraging. Only 10% said<br />

that they did not use the toilets. The quantity of water used per person (12.46 litres) on<br />

average is slightly above the minimum acceptable international amount (10 litres).<br />

However, the team on the ground observed a grand difference between individual camps.<br />

Certain camps used as little as 5 litres per person, others up to 25 litres per person.<br />

This information above, although interesting, does not particularly reveal a lot about the<br />

Water and Sanitation situation in Mogadishu. However, it may assist in providing ideas<br />

for more focussed Water and Sanitation Surveys in the future.<br />

27


RECOMMENDATIONS<br />

• An evaluation into the effective area of coverage of the 4 TFCs in the city would assist<br />

in defining the future need for 4 TFCs in the city given the comparatively low rate of<br />

malnutrition found.<br />

• Active case finding and screening should be increased to ensure the early reference of<br />

the severely malnourished to the TFC.<br />

• At a minimum, a further nutritional survey should be undertaken on the same<br />

population in November 2000 – before the next Cholera outbreak. In addition, it<br />

would be useful to perform a survey on the Resident population of the town if at all<br />

possible.<br />

• Access to, knowledge of, and the quantity of free simple medical assistance (Health<br />

Posts, ORS points etc.) needs to be increased.<br />

• Evaluate, strongly supervise and if necessary re-orientate Health Education Activities.<br />

• Increase supervision of Vaccination activities.<br />

• Perform regular statistically viable surveys of the vaccination coverage and mortality<br />

on a two monthly basis.<br />

• Improve supervision of Health Education activities and evaluate the impact of the<br />

Health Education given.<br />

• The system of the collection of information about the movements of population into<br />

the city of Mogadishu should be reviewed.<br />

• The use of the 125mm cut – off point with the muac to indicate Global Acute<br />

Malnutrition should be studied further in a maximum of Anthropometrical Nutrition<br />

Surveys.<br />

28

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