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CatastrophIc Level of Deaths In Iraq
655,000
Iraqis Die Since 2003 Invasion
Mortality
after the 2003 invasion of Iraq: a cross-sectional cluster sample
survey
Gilbert Burnham MD, Riyadh Lafta MD, Shannon Doocy PhD, Les
Roberts PhD
Summary
Background
An
excess mortality of nearly 100,000 deaths was reported in Iraq for
the period March, 2003–September, 2004, attributed to the
invasion of Iraq. Our aim was to update this estimate.
Methods
Between May and July 2006, we did a
national cross-sectional cluster sample survey of mortality in
Iraq. 50 clusters were randomly selected from 16 Governorates,
with every cluster consisting of 40 households. Information on
deaths from these households was gathered.
Findings
Three misattributed clusters were
excluded from the final analysis; data from 1849 households that
contained 12,801 individuals in 47 clusters was gathered. 1474
births and 629 deaths were reported during the observation period.
Pre-invasion mortality rates were 5·5 per 1000 people per year
(95% CI 4·3–7·1), compared with 13·3 per 1000 people per year
(10·9–16·1) in the 40 months post-invasion. We estimate that as of July 2006, there have been 654
965
(392,979–942,636) excess Iraqi deaths as a consequence of the
war, which corresponds to 2·5%
of the population in the study area. Of post-invasion deaths,
601,027 (426,369–793,663) were due to violence, the most common
cause being gunfire.
Interpretation
The
number of people dying in Iraq has continued to escalate.
The proportion of deaths ascribed to coalition forces has
diminished in 2006, although the actual numbers have increased
every year. Gunfire remains the most common cause of death,
although deaths from car bombing have increased.
Introduction
There has been widespread concern over the
scale of Iraqi deaths after the invasion by the US-led coalition
in March 2003. Various methods have been used to count violent
deaths, including hospital death data from the Ministry of Health,
mortuary tallies, and media reports.1,2
The best known is the Iraq Body Count, which estimated that, up to
September 26, 2006, between 43
491 and
48
283
Iraqis have been killed since the invasion.1
Estimates from the Iraqi Ministry of the Interior were 75% higher
than those based on the Iraq Body Count from the same period.2
An Iraqi non-governmental organisation, Iraqiyun, estimated
128,000 deaths from the time of the invasion until July, 2005, by
use of various sources, including household interviews.3
The US Department of Defence keeps some
records of Iraqi deaths, despite initially denying that they did.4
Recently, Iraqi casualty data from the Multi-National Corps-Iraq
(MNC-I) Significant Activities database were released.5
These data estimated the civilian casuality rate at 117 deaths per
day between May 2005, and June 2006, on the basis of deaths that
occurred in events to which the coalition responded. There also
have been several surveys that assessed the burden of conflict on
the population.6–8
These surveys have predictably produced substantially higher
estimates than the passive surveillance reports.
Aside
from violence, insufficient water supplies, non-functional
sewerage, and restricted electricity supply also create health
hazards.9,10
A deteriorating health service with insecure access, and the
flight of health professionals adds further risks. People
displaced by the on-going sectarian violence add to the number of
vulnerable individuals. In many conflicts, these indirect causes
have accounted for most civilian deaths.11,12
In 2004, we did a survey of 33 randomly
selected clusters of 30 households with a mean of eight residents
throughout Iraq to determine the excess mortality during the 17·8
months after the 2003 invasion.8
The survey estimated excess mortality of at least 98,000 (95% CI
8000–194,000) after excluding, as an outlier, the high mortality
reported in the Falluja cluster. Over
half of excess deaths recorded in the 2004 study were from violent
causes, and about half of the violent deaths occurred in Falluja.
To determine how on-going events in Iraq
have affected mortality rates subsequently, we repeated a national
household survey between May and July, 2006. We measured deaths
from January 2002 to July 2006, which included the period of the
2004 survey.
Methods
Participants and
procedures
To measure mortality we did a national
cross-sectional cohort study of deaths from January 2002 through
July 2006. Household information was gathered about deaths that
occurred between January 1, 2002, and the invasion of March 18,
2003, in all households and these data were compared with deaths
that occurred from the time of the invasion through to the date of
survey. A sample size of 12,000 was calculated to be adequate to
identify a doubling of an estimated pre-invasion crude mortality
rate of 5·0 per 1000 people per year with 95% confidence and a
power of 80%, and was chosen to balance the need for robust data
with the level of risk acceptable to field teams. Sampling
followed the same approach used in 2004,8
except that selection of survey sites was by random numbers
applied to streets or blocks rather than with global positioning
units (GPS), since surveyors felt that being seen with a GPS unit
could put their lives at risk. The use of GPS units might be seen
as targeting an area for air strikes, or that the unit was in
reality a remote detonation control. By confining the survey to a
cluster of houses close to one another it was felt the benign
purpose of the survey would spread quickly by word of mouth among
households, thus lessening risk to interviewers.
As a first stage of sampling, 50 clusters
were selected systematically by Governorate with a population
proportional to size approach, on the basis of the 2004 UNDP/Iraqi
Ministry of Planning population estimates (table
1). At the second stage of sampling, the Governorate's
constituent administrative units were listed by population or
estimated population, and location(s) were selected randomly
proportionate to population size. The third stage consisted of
random selection of a main street within the administrative unit
from a list of all main streets. A residential street was then
randomly selected from a list of residential streets crossing the
main street. On the residential street, houses were numbered and a
start household was randomly selected. From this start household,
the team proceeded to the adjacent residence until 40 households
were surveyed. For this study, a household was defined as a unit
that ate together, and had a separate entrance from the street or
a separate apartment entrance.
Table
1. Province
populations and cluster allocation
The two survey teams each consisted of two
female and two male interviewers, with the field manager (RL)
serving as supervisor. All were medical doctors with previous
survey and community medicine experience and were fluent in
English and Arabic. A 2-day training session was held. Decisions
on sampling sites were made by the field manager. The interview
teams were given the responsibility and authority to change to an
alternate location if they perceived the level of insecurity or
risk to be unacceptable. In every cluster, the numbers of
households where no one was at home or where participation was
refused were recorded. In every cluster, queries were made about
any household that had been present during the survey period that
had ceased to exist because all members had died or left. Empty
houses or those that refused to participate were passed over until
40 households had been interviewed in all locations.
The
survey purpose was explained to the head of household or spouse,
and oral consent was obtained. Participants were assured that no
unique identifiers would be gathered. No incentives were provided.
The survey listed current household members by sex, and asked who
had lived in this household on January 1, 2002. The interviewers
then asked about births, deaths, and in-migration and
out-migration, and confirmed that the reported inflow and exit of
residents explained the differences in composition between the
start and end of the recall period. Separation
of combatant from non-combatant deaths during interviews was not
attempted, since such information would probably be concealed by
household informants, and to ask about this could put interviewers
at risk. Deaths were recorded only if the decedent had
lived in the household continuously for 3 months before the event.
Additional probing was done to establish the cause and
circumstances of deaths to the extent feasible, taking into
account family sensitivities. At the conclusion of household
interviews where deaths were reported, surveyors requested to see
a copy of any death certificate and its presence was recorded.
Where differences between the household account and the cause
mentioned on the certificate existed, further discussions were
sometimes needed to establish the primary cause of death.
The
study received ethical approval from the Committee on Human
Research of the Johns Hopkins Bloomberg School of Public Health,
Baltimore, MD, USA, and the School of Medicine, Al Mustansiriya
University, Baghdad, Iraq.
Statistical analysis
Data entry and analysis was done with
Microsoft Excel, SPSS version 12.0, and STATA version 8. Period
mortality rates were calculated on the basis of the mid-interval
population and with regression models. Mortality rates and
relative risks of mortality were estimated with log-linear
regression models in STATA.13
To estimate the relative risk, we used a model that allowed for a
baseline rate of mortality and a distinct relative rate for three
14-month intervals post-invasion—March, 2003–April, 2004, May,
2004–May, 2005, and June, 2005–June, 2006. The SE for
mortality rates were calculated with robust variance estimation
that took into account the correlation between rates of death
within the same cluster over time.14
The log-linear regression model assumed that the variation in
mortality rates across clusters is proportional to the average
mortality rate; to assess the effect of this assumption we also
obtained non-parametric CIs by use of bootstrapping.13,15
As an additional sensitivity analysis, we assessed the effect of
differences across clusters by extending models to allow the
baseline mortality rate to vary by cluster. We estimated the
numbers of excess deaths (attributable rates) by subtraction of
the predicted values for the pre-war mortality rates from the
post-war mortality rates in the three post-invasion periods.
Mortality projections with model rates were applied to 2004
mid-year population estimates for Iraq, minus the population of
Dahuk and Muthanna, which were not sampled, to ascertain mortality
projections.9
Role of the funding
source
Massachusetts
Institute of Technology, which was the major funder, had no role
in the collection or the analysis of the data, or the preparation
of the publication. The Johns Hopkins Center for Refugee and
Disaster Response used some general funds to cover research
expense. All authors had full access to all the data; the
corresponding author had final responsibility to submit for
publication.
Results
The survey was done between May 20 and
July 10, 2006. Only 47 of the sought 50 clusters were included in
this analysis. On two occasions, miscommunication resulted in
clusters not being visited in Muthanna and Dahuk, and instead
being included in other Governorates. In Wassit, insecurity caused
the team to choose the next nearest population area, in accordance
with the study protocol. Later it was discovered that this second
site was actually across the boundary in Baghdad Governorate.
These three misattributed clusters were therefore excluded,
leaving a final sample of 1849 households in 47 randomly selected
clusters. In 16 (0·9%) dwellings, residents were absent; 15 (0·8%)
households refused to participate. In the few apartment houses
visited, the team progressed to the nearest households within the
building. One team could typically complete a cluster of 40
households in 1 day. No interviewers died or were injured during
the survey.
Households where all members were dead or
had gone away were reported in only one cluster in Ninewa and
these deaths are not included in this report. The 1849 households
that completed the survey had 12
801
household members at the time of the survey; thus, the mean
household size was 6·9 people. Of the 12,529 residents whose sex
was recorded, 6123 (48·9%) were male. The study population at the
beginning of the recall period (January 1, 2002) was calculated to
be 11,956, and a total of 1474 births and 629 deaths were reported
during the study period; age was reported for 610 of 629 deaths,
sex reporting was complete. During the survey period there were
129 households (7%) that reported in-migration, and 152 households
(8%) reported out-migration. Survey teams asked for death
certificates in 545 (87%) reported deaths and these were present
in 501 cases. The pattern of deaths in households without death
certificates was no different from those with certificates.
Of the 629 deaths reported, 547 (87%) were
in the post-invasion period (March, 2003, to June, 2006) compared
with 82 (13%) in the pre-invasion period (January, 2002, to March,
2003; table
2). Most deaths (n=485; 77%) were in males, and this was true
for both periods, but more pronounced in the pre-invasion period
(57 of 82 deaths pre-invasion vs 428 of 547 deaths
post-invasion). The male-to-female ratio of post-invasion deaths
was 3·4 for all deaths, and 9·8 for violent deaths (all deaths:
144 female, 485 male; violent death: 28 female, 274 male). In
general, deaths by age group followed the expected J-shaped
demographic curve; however, by contrast, most deaths in males were
in the middle age groups (figure
1).

Table
2. Pre-invasion
and post-invasion deaths by age and cause (n=629)*
Figure 1.
Deaths where
age and sex known since start of study period
(A) All deaths
(n=610). (B) Violent deaths (n=287).
The crude mortality rate in the
pre-invasion period was 5·5 per 1000 people per year (95% CI 4·3–7·1)
and for the overall post-invasion period was 13·3 per 1000 people
per year (10·9–16·1; table
3). A four-fold increase in the crude mortality rate was
recorded during the study period, with a high of 19·8 per 1000
people per year (14·6–26·7) between June, 2005, and June, 2006
(figure
2 and table
3).
Table
3. Mortality
rates by time

Figure
2. Mortality
rates, 2002–06
Post-invasion excess mortality rates
showed much the same escalating trend, rising from 2·6 per 1000
people per year (0·6–4·7) above the baseline rate in 2003 to
14·2 per 1000 people per year (8·6–21·5) in 2006 (figure
2 and table
3). Excess mortality is attributed mainly to an increase in
the violent death rate; however, an increase in the non-violent
death rate was noted in the later part of the post-invasion period
(2005–06). The post-invasion non-violent excess mortality rate
was 0·7 per 1000 people per year (−1·2 to 3·0).
Of the 302 conflict-related violent deaths
reported, 300 (99%) were post-invasion (table
4). An increase in violent death rates was seen in the
post-invasion period (figure
2). Analysis for trend showed that this rate for violent
deaths increased significantly in every period after the invasion
(p<0·0001) compared with the pre-invasion period.

Table
4. Violent
deaths by cause and time
Of the 302 violent deaths, 274 (91%) were
of men, and within this group, deaths concentrated in the 15–29
and 30–44 year old age groups (figure
1). Most violent deaths were due to gunshots (56%); air
strikes, car bombs, and other explosions/ordnance each accounted
for 13–14% of violent deaths. The
number of deaths from gunshots increased consistently over the
post-invasion period, and a sharp increase in deaths from car
bombs was noted in 2006.
Violent
deaths that were directly attributed to coalition forces or to air
strikes were classified as coalition violent deaths. In
many other cases the responsible party was not known, or the
households were hesitant to specifically identify them. Deaths
attributable to the coalition accounted for 31% (95% CI 26–37)
of post-invasion violent deaths. The proportion of violent deaths
attributable to the coalition was much the same across periods
(p=0·058). However, the actual number of violent deaths,
including those that resulted from coalition forces, increased
every year after the invasion. Deaths in men of military
age, defined as 15–44 years of age, were disproportionately high
and accounted for 59% (52–65) of post-invasion violent deaths,
despite this subgroup accounting for only 24·4% of the Iraqi
population.16
No difference in the proportion of violent deaths in men of
military age was noted between deaths attributed to the coalition
or other/unknown sources (p=0·168). Mortality rates by
Governorate are shown in figure
3.

Figure
3. Death
rates due to violent causes per Governorate
Mortality rates in
Governorates with fewer than three clusters were confirmed with
2004 survey data; estimates for provinces with fewer than three
clusters that could not be confirmed are potentially uncertain due
to the small sample size.
Of the 327 non-violent deaths that were
reported, 80 (24%) occurred pre-invasion and 247 (76%) occurred
post-invasion (table
2). Non-violent mortality rates before and after invasion are
shown in table
3. The mortality rates from non-violent causes were
essentially unchanged until the first 6 months of 2006, at which
point they increased by almost two deaths per 1000 people per
year; however, this increase was not significant.
The male-to-female ratio of non-violent
deaths was 1·8 (211 male vs 116 female deaths; p<0·0001).
17% of non-violent deaths occurred in those aged under 15 years,
32% in 15–59 year olds, and 52% in those over 60 years.
Non-violent deaths by time, age, and cause are described in table
2. Cardiovascular
conditions were the main cause of non-violent death and accounted
for 37% of non-violent deaths over the entire study period.
Other notable sources of non-violent mortality included cancer
(14%), chronic illnesses (13%), infant deaths (12%), accidents
(11%), and old age (8%). Causes of non-violent deaths were much
the same both pre-invasion and post-invasion (p=0·290).
We
estimate that between March 18, 2003, and June, 2006, an
additional 654,965 (392,979–942,636) Iraqis have died above what
would have been expected on the basis of the pre-invasion crude
mortality rate as a consequence of the coalition invasion. Of
these deaths, we estimate that 601,027 (426,369–793,663) were
due to violence.
Discussion
We
estimate that, as a consequence of the coalition invasion of March
18, 2003, about 655,
000
Iraqis have died above the number that would be expected in a
non-conflict situation, which is equivalent to about 2.5%
of the population in the study area.
About 601,000 of these excess deaths were due to violent causes.
Our estimate of the post-invasion crude mortality rate represents
a doubling of the baseline mortality rate, which, by the Sphere
standards, constitutes a humanitarian emergency.17
Our estimate of the pre-invasion crude or
all-cause mortality rate is in close agreement with other sources.18,19
The post-invasion crude mortality rate increased significantly
from pre-invasion figures, and showed a rising trend. The
increasing number of violent deaths follows trends of bodies
counted by mortuaries, as well as those reported in the media and
by the Iraq Body Count.1,5,20
Application of the mortality rates
reported here to the period of the 2004 survey8
gives an estimate of 112,000 (69
000–155,000)
excess deaths in Iraq in that period. Thus, the data presented
here validates our 2004 study, which conservatively estimated an
excess mortality of nearly 100,000 as of September 2004.
Our
estimate of excess deaths is far higher than those reported in
Iraq through passive surveillance measures.1,5
This discrepancy is not unexpected. Data from passive surveillance
are rarely complete, even in stable circumstances, and are even
less complete during conflict, when access is restricted and fatal
events could be intentionally hidden. Aside from Bosnia,21
we can find no conflict situation where passive surveillance
recorded more than 20% of the deaths measured by population-based
methods. In several outbreaks, disease and death recorded
by facility-based methods underestimated events by a factor of ten
or more when compared with population-based estimates.11,22–25
Between 1960 and 1990, newspaper accounts of political deaths in
Guatemala correctly reported over 50% of deaths in years of low
violence but less than 5% in years of highest violence.26
Nevertheless, surveillance tallies are important in monitoring
trends over time and in the provision of individual data, and
these data track closely with our own findings (figure
4).

Figure
4. Trends
in number of deaths reported by the Iraq Body Count and the
MultiNational Corps-Iraq and the mortality rates found by this
study
Mortality
rates from violent causes have increased every year post-invasion.
By mid-year 2006, 91 violent deaths had occurred in 6 months,
compared with 27 post-invasion in 2003 and 77 in 2004, and 105 for
2005, suggesting that violence
has escalated substantially. The attributed cause of these
deaths has also changed with time. Our
data show that gunfire is the major cause of death in Iraq,
accounting for about half of all violent deaths. Deaths
from air strikes were less commonly reported in 2006 than in
2003–04, but deaths from car explosions have increased since
late 2005. The
proportion of violent deaths attributed to coalition forces might
have peaked in 2004; however, the actual number of Iraqi deaths
attributed to coalition forces increased steadily through 2005.
Deaths were not classified as being due to coalition forces if
households had any uncertainty about the responsible party;
consequently, the number of deaths and the proportion of violent
deaths attributable to coalition forces could be conservative
estimates. Distinguishing
criminal murders from anti-coalition force actions was not
possible in this survey.
Across Iraq, deaths and injuries from
violent causes were concentrated in adolescent to middle age men.
Although some were probably combatants, a number of factors would
expose this group to more risk—eg, life style, automobile
travel, and employment outside the home. The circumstances of a
number of deaths from gunshots suggest assassinations or
executions. Coalition
forces have been reported as targeting all men of military age.27,28
From January, 2002, until the invasion in
2003, virtually all deaths in Iraq were from non-violent causes.
The main causes of non-violent deaths were much the same as the
leading causes of hospital deaths reported by the Ministry of
Health in 2004 and 2005 (unpublished data). Death rates from
non-violent causes remained essentially unchanged from
pre-invasion levels until 2006, when they rose by 2·0 deaths per
1000 per year above the pre-invasion baseline, an increase that
was not significant. We are unsure of the reason for the observed
change in sex ratio of adults aged 15–59 years dying from
non-violent causes between pre-invasion and post-invasion periods
(table
2), or why deaths from cardiovascular causes rose after the
invasion.
All surveys have potential for error and
bias. The extreme insecurity during this survey could have
introduced bias by restricting the size of teams, the number of
supervisors, and the length of time that could be prudently spent
in all locations, which in turn affected the size and nature of
questionnaires. Further, calling back to households not available
on the initial visit was felt to be too dangerous. Families,
especially in households with combatants killed, could have hidden
deaths. Under-reporting of infant deaths is a wide-spread concern
in surveys of this type.29,30
Entire households could have been killed, leading to a survivor
bias. The population data used for cluster selection were at least
2 years old, and if populations subsequently migrated from areas
of high mortality to those with low mortality, the sample might
have over-represented the high-mortality areas. The
miscommunication that resulted in no clusters being interviewed in
Duhuk and Muthanna resulted in our assuming that no excess deaths
occurred in those provinces (with 5% of the population), which
probably resulted in an underestimate of total deaths. Families
could have reported deaths that did not occur, although this seems
unlikely, since most reported deaths could be corroborated with a
certificate. However, certificates might not be issued for young
children, and in some places death certificates had stopped being
issued; our 92% confirmation rate was therefore deemed to be
reasonable.
Large-scale migration out of Iraq could
affect our death estimates by decreasing population size.
Out-migration could introduce inaccuracies if such a process took
place predominantly in households with either high or low violent
death history. Internal population movement would be less likely
to affect results appreciably. However, the number of individual
households with in-migration was much the same as those with
out-migration in our survey.
Although interviewers used a robust
process for identifying clusters, the potential exists for
interviewers to be drawn to especially affected houses through
conscious or unconscious processes. Although evidence of this bias
does not exist, its potential cannot be dismissed.31
Furthermore, families might have misclassified information about
the circumstances of death. Deaths could have been over or
under-attributed to coalition forces on a consistent basis. The
numbers of non-violent deaths were low, thus, estimation of trends
with confidence was difficult. Not sampling two of the
Governorates could have underestimated the total number of deaths,
although these areas were generally known as low-violence
Governorates. Finally, the sex of individuals who had died might
not have been accurately reported by households. Female deaths
could have been under-reported, or there might have been
discomfort felt in reporting certain male deaths.
The striking similarity between the 2004
and 2006 estimates of pre-war mortality diminishes concerns about
people's ability to recall deaths accurately over a 4-year period.
Likewise, the similar patterns of mortality over time documented
in our survey and by other sources corroborate our findings about
the trends in mortality over time.1,5,32
In
Iraq, as with other conflicts, civilians bear the consequences of
warfare. In the Vietnam war, 3 million civilians died; in the
Democratic Republic of the Congo, conflict has been responsible
for 3·8 million deaths; and an estimated 200,000 of a total
population of 800,000 died in conflict in East Timor.33–35
Recent estimates are that 200,000 people have died in Darfur over
the past 31 months.36
We estimate that almost 655,000 people—2·5% of the population
in the study area—have died in Iraq. Although such death rates
might be common in times of war, the combination of a long
duration and tens of millions of people affected has made this the
deadliest international conflict of the 21st century, and should
be of grave concern to everyone.
At the conclusion of our 2004 study8
we urged that an independent body assess the excess mortality that
we saw in Iraq. This has not happened. We
continue to believe that an independent international body to
monitor compliance with the Geneva Conventions and other
humanitarian standards in conflict is urgently needed. With
reliable data, those voices that speak out for civilians trapped
in conflict might be able to lessen the tragic human cost of
future wars.
Contributors
G. Burnham, as
principal investigator, was involved in the study design and
ethical approval, took part in the analysis and interpretation of
results, and led the writing of the paper. R Lafta managed the
field survey in Iraq, participated in the study design and the
analysis, interpretation, and preparation of the manuscript. S.
Doocy managed the study data and was involved in the analysis,
interpretation, and the writing of the manuscript. L Roberts
instigated the study and assisted with the analysis and
interpretation of the data and the writing of the manuscript.
Conflict of interest statement
We declare that
we have no conflict of interest.
Acknowledgments
We
acknowledge the assistance of Scott Zeger in the study design
and analysis, Elizabeth Johnson in the statistical analysis,
Courtland Robinson and Stan Becker who helped with the
demographic analysis, and Elizabeth Dzeng who assisted with data
management. We express our deepest admiration for the dedicated
Iraqi data collectors who have asked not to be identified.
Funding was provided by the Massachusetts Institute of
Technology and the Center for Refugee and Disaster Response of
the Johns Hopkins Bloomberg School of Public Health.
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Mustansiriya University, Baghdad, Iraq
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