GHENT UNIVERSITY Karoline FONCK - International Centre for ...
GHENT UNIVERSITY Karoline FONCK - International Centre for ... GHENT UNIVERSITY Karoline FONCK - International Centre for ...
Several models have been developed for STI epidemiology. The essential concept in these models is the reproductive rate (R0) of the infection. R0 is defined as the number of secondary infections that a spreader produces in a fully susceptible population. For STI transmission, R0 is determined by three variables. These are the average rate at which new sex partners are acquired per unit of time (c), the average probability that infection is transmitted from one person to a susceptible individual per sexual contact (ß), and the average duration of infectiousness of an infected person (D). In the simplest possible case, where a single risk group mixes homogeneously (chooses sex partners at random), the transmission dynamics are approximated by the formula: R0 = ßcD What is meant exactly by average is not straightforward, since epidemiological studies reveal much variability between and within specific populations. Many heterogeneities influence the magnitude of β (sex acts per unit of time, type of sex act) and measures of this value via studies must be interpreted with caution. Recorded estimates of the magnitude of β range from a very high likelihood of transmission for infections such as gonorrhoea and syphilis and to a low probability for infections such as HIV and chlamydia. The typical duration and degree of infectiousness (D) is also subject to variation and duration often varies widely between individuals. The duration of infectiousness can be influenced by interventions such as chemotherapy. Treatment therefore reduced the value of R0. The principal determinant of STI spread in a population is the rate at which new sexual relationships occur in that population, rather than the number of sexual exposures per new partnership. The more sexual partners one has, the greater the likelihood of encountering high frequency transmitters of STI pathogens. Rates of sexual partner change vary widely within and between societies, and are associated with a range of demographic and socioeconomic factors. Invariably, the reported rate of change of sex partners for men exceeds that for women. Surveys reveal much heterogeneity with most people reporting few partners and a few reporting many. That core group of highly sexually active individuals however is a major influence on the transmission pattern, as they will assure that R0 exceeds unity in value (Yorke 1978, Anderson 1987, Anderson 1988). Individuals with two or more simultaneous (i.e. concurrent) partners can play a central role in the spread of infection, as the individual can acquire infection from one partner and pass it on to the another without gaining any new partners. In both developed and developing INTRODUCTION 5
countries, the rate of reporting concurrent sex partners is often high. In both cases, the frequency is higher for males than for females. The existence of a high prevalence of concurrent partners in the population is of particular importance in ensuring the persistence of infection in low-risk groups, as this may assure “bridging” of the populations to spread infection from high to low prevalence subgroups within a population. The components that contribute to success of the transmission will influence the epidemiological pattern in different ways. Some of the key elements are: variation in infectiousness to sexual partners over the incubation period of an STI in the index case; the structure of the mixing matrix i.e. the sexual partner network; presence of co-factors that enhance transmission. Understanding the transmission dynamics in a population provides insight into how different interventions are likely to influence transmission success and consequently the prevalence and incidence of infection in a given population. 1.3. Epidemiology of STI and HIV It is estimated that the overall number of new cases of the major four STIs for men and women aged 15 to 49 totaled 340 million in 1999, with 12 million cases of syphilis, 62 million of gonorrhea, 92 million of chlamydial infections and 174 million of trichomoniasis (WHO 2001). These estimates suggest that 90 percent of these STIs occur in developing countries. The highest rate of new cases per 1000 population occurred in sub Saharan Africa. The prevalence rates of some STIs in countries in sub-Saharan Africa are represented in Table 1. Table 1: Prevalence of N. gonorrhoeae (NG), C. trachomatis (CT) and positive syphilis serology (VDRL or RPR) among pregnant women in selected developing countries in sub-Saharan Africa. Country Syphilis (%) NG (%) CT (%) Kenya (Temmerman 1992) 5.3 6.5 (Jenniskens 1995) Botswana (Pedersen 1990) Rwanda (Leroy 1995) 16.8 14 HIV +ve 6.3 2.4 HIV –ve 3.7 7.1 9.0 (Temmerman 1992) Tanzania (Mayaud 1995) 10.1 2.1 6.6 Ethiopia 13.7 (Azeze 1995) 29 (Duncan 1992) Congo (Yala 1991) 9 26.8 Lesotho (Fehler 1995) 12 5 14 South Africa (Rotchford 2000) 9 4.7 (Dietrich 1992) Congo (Blanchard 1999) 6.7 3.1 6.2 INTRODUCTION 6 3.4 5.5
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Several models have been developed <strong>for</strong> STI epidemiology. The essential concept in these<br />
models is the reproductive rate (R0) of the infection. R0 is defined as the number of<br />
secondary infections that a spreader produces in a fully susceptible population. For STI<br />
transmission, R0 is determined by three variables. These are the average rate at which new<br />
sex partners are acquired per unit of time (c), the average probability that infection is<br />
transmitted from one person to a susceptible individual per sexual contact (ß), and the<br />
average duration of infectiousness of an infected person (D). In the simplest possible case,<br />
where a single risk group mixes homogeneously (chooses sex partners at random), the<br />
transmission dynamics are approximated by the <strong>for</strong>mula:<br />
R0 = ßcD<br />
What is meant exactly by average is not straight<strong>for</strong>ward, since epidemiological studies reveal<br />
much variability between and within specific populations. Many heterogeneities influence the<br />
magnitude of β (sex acts per unit of time, type of sex act) and measures of this value via<br />
studies must be interpreted with caution. Recorded estimates of the magnitude of β range<br />
from a very high likelihood of transmission <strong>for</strong> infections such as gonorrhoea and syphilis and<br />
to a low probability <strong>for</strong> infections such as HIV and chlamydia. The typical duration and<br />
degree of infectiousness (D) is also subject to variation and duration often varies widely<br />
between individuals. The duration of infectiousness can be influenced by interventions such<br />
as chemotherapy. Treatment there<strong>for</strong>e reduced the value of R0.<br />
The principal determinant of STI spread in a population is the rate at which new sexual<br />
relationships occur in that population, rather than the number of sexual exposures per new<br />
partnership. The more sexual partners one has, the greater the likelihood of encountering<br />
high frequency transmitters of STI pathogens. Rates of sexual partner change vary widely<br />
within and between societies, and are associated with a range of demographic and socioeconomic<br />
factors. Invariably, the reported rate of change of sex partners <strong>for</strong> men exceeds<br />
that <strong>for</strong> women. Surveys reveal much heterogeneity with most people reporting few partners<br />
and a few reporting many. That core group of highly sexually active individuals however is a<br />
major influence on the transmission pattern, as they will assure that R0 exceeds unity in<br />
value (Yorke 1978, Anderson 1987, Anderson 1988).<br />
Individuals with two or more simultaneous (i.e. concurrent) partners can play a central role in<br />
the spread of infection, as the individual can acquire infection from one partner and pass it on<br />
to the another without gaining any new partners. In both developed and developing<br />
INTRODUCTION 5