• No results found

Temporal dynamics of HIV 1 circulating subtypes in distinct exposure categories in southern Brazil

N/A
N/A
Protected

Academic year: 2020

Share "Temporal dynamics of HIV 1 circulating subtypes in distinct exposure categories in southern Brazil"

Copied!
7
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 1 Clinical and demographic data of the HIV-positive patients from Porto Alegre at two distinct timeperiods - 1998 (group I) and 2005–2008 (group II)
Figure 1 Prevalence of HIV-1 subtypes in Porto Alegre in the two studied populations (1998 and 2005–2008) according to exposurecategories (A) Heterosexual and (B) Men who have sex with men
Figure 2 Proportion of AIDS diagnosed individuals according to exposure categories in Porto Alegre – Brazil

References

Related documents

In this paper, 1PPS signal as the reference signal provided by the National Time Service Center, and a rubidium atomic clock frequency automatic calibration

In this paper, we generalize and extend the Kannan and Chatterjea type contractions with some auxiliary functions to obtain some new fixed point results in the framework of b

When the composite cognitive CDMA user uses AHF as a chip symbol waveform, it can effectively improve its resistance to multi-path, multiple access,

Distributed real-time simulation system based on RTX and reflective memory network is upgrading and expansion from the EMES simulation system, mainly expansion on the simulation

In [], Yang proved the arithmetic mean-geometric mean inequality for positive definite matri- ces, which was an open question proposed by Bellman in []; Neudecke used a

Considering that bending moment of rib is gradually decreasing from the root to the end, in order to reduce the mass of structure, rib can adopt structural form which is

Intermediate node receive the RREQ packet, check the data packet, if it is repeat then discard the route request packet; or else, calculate their own congestion coefficient and

DRO-MU (Distributional Robust Optimization under Moment Uncertainty) [6] method considers the uncertainty of moments of random variables, assumes the expectation