Article No. 1 - Vol. 28, No. 1 - January 2009
All health professionals are aware of the progressive adaptations and changes in treatment of infectious diseases as a result of development of antimicrobial resistance. Conventional antibiotics are losing their efficacy, and it is becoming increasingly necessary to use more expensive antibiotics with more complex regimens when there is multiple resistance.
Article No. 2 - Vol. 28, No. 1 - January 2009
The availability of timely, valid and reliable data is an essential condition for the formulation and follow-up of policies geared towards the improvement of the health of populations in the Americas. This is especially relevant in the context of the Millennium Development Goals.
Article No. 3 - Vol. 28, No. 1 - January 2009
The World Health Organization (WHO)’s International Family of Classifications (IFC) is a group of products that can be used in an integrated way for statistical purposes and to compare national and international health information. The international classifications that are endorsed by WHO facilitate the storage, retrieval, analysis and interpretation of data and their comparison in time, space and between different types of populations. (see the WHO web page on Classifications.)
Article No. 4 - Vol. 28, No. 1 - January 2009
The uses of surveillance data include the description and comparison of disease patterns using the person, place, and time variables. In particular, examples of the use of the time variable can be found in the earliest known epidemiological studies. For example, in a report on the 1847 influenza epidemic in London, William Farr presented data collected by week and easily calculated the excess of mortality due to influenza in different periods of the year. (1)
Article No. 5 - Vol. 28, No. 1 - January 2009
The global health reports published annually by international organizations such as the United Nations Children’s Fund (UNICEF) and the World Health Organization (WHO) contain indicators that are not always consistent with the countries’ official data. When discrepancies are significant, disagreements and disputes arise, especially when indicators relevant to policy-making, such as those related to the Millennium Development Goals (MDG), are involved.
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