EPIDEMIOLOGY 387
in life tables (RMLT), the name given to it by the originator,
D. R. Cox, or as the proportional-hazards model. Essentially
it is a form of multiple regression analysis, into which it is
incorporated as many as possible of the variants that dis-
tinguish the workers in the factory: sex, age, race, duration
of employment, type of job, area of work, exposure levels,
etc. The comparisons are then made within the factory itself,
so that the workers in an area of potential hazard are evalu-
ated against the experience of the rest of the factory, taking
into account all those factors included in the regression and
likely to infl uence the behavior of each individual. Because
of its independence of any external standard as a basis for the
control, this method has a clear advantage over other kinds
of comparisons. Its disadvantages stem from mainly infor-
mation required, and an adequate varied range of areas of
work. Given the requisite data, it provides probably the most
powerful form of epidemiological analysis in this fi eld.
SOME OTHER APPLICATIONS OF EPIDEMIOLOGY
The methods of epidemiology are increasingly being used
in the investigation of a wide variety of health defi ciencies
or of areas of group ill health. The study of the relationship
between Legionnaires’ disease and defective maintenance
of air-conditioning plants owes much to such methods.
Another example, not fully worked out, is that of the sick-
building syndrome, where a number of symptoms of mal-
aise, together with respiratory and eye affl ictions, have been
related to ventilation problems and lighting conditions in
some kinds of modern buildings. Incidents of food poison-
ing have been among the “classical” applications of methods
perhaps more akin to those of crime detection than a strictly
epidemiological type. More recently studies of outbreaks of
food-borne disease—some due to inadequate cooking, some
to the increased demand for precooked convenience foods,
some to more intensive animal husbandry and processing of
the meat—have made extensive use of methods of epidemio-
logical analysis. Other obvious areas of application include
inquiries into sudden outbreaks of other forms of disease,
especially when localized in time or space, and the study of
road accidents, whether in general or of specifi c “hot spots.”
CONFIDENTIALITY
The usefulness of epidemiology, whether in its descriptive or
analytical manifestation, depends essentially on the extent
and consistency of the data on which it is based. A current
trend in a number of countries has been that of “data pro-
tection,” ostensibly to protect the privacy of the individual,
and resulting in the “anonymization” of many data items.
For a great many, if not all, items of information concern-
ing an individual, the name is the most useful identifi cation
to link them together. Consequently the movement toward
data protection has been against the interests of epidemiol-
ogy, and has hampered much of its development. In many of
the countries of Europe a residue of the Code of Napoleon
has made the link between the cause of death and the name
of the deceased an item of strict confi dentiality, so that the
death certifi cate is in two parts: a statement of the fact of
death of a named individual, for legal purposes, and a sep-
arate statement of the cause(s) of death of an anonymous
person, of stated sex, age, and race, for purposes of prepa-
ration of the country’s mortality statistics. Consequently,
epidemiological study has been considerably hindered by
this dissociation. It is ironic, therefore, that whereas in those
countries there have been attempts to liberalize this restric-
tion in the interest of useful epidemiological studies, the
reverse has been the trend in some countries where access
to such data has previously been unrestricted. It should be
possible to devise a compromise that permits suitably moti-
vated and qualifi ed investigators to obtain free access to all
data necessary to their study without jeopardizing the gen-
eral right of the individual to the confi dentiality of the data
concerning himself.
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