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Case of Zambia (maybe)
Cardiff Fertility Studies
Causes of country variations in prevalence (unrelated to methods)
Variationinevolvedcapacitytoreproduce(fecundity)1
Change in the biologic capacity to reproduce irrespective of intentions (e.g.,
decline in semen quality, survival in gene pool of infertile) Cannot yet be evaluated due to lack of appropriate data
Variation in proximate and distal determinants of fertility (target: population control)
E.g., in Ghana2: SES (income, education), urbanization, age of first marriage, child mortality, cultural/religious beliefs (valuing of high fertility)
Well known impact, addressed through diverse programs
Variation in risk factors for reduced fertility (target: prevention)
Risk in LMIC = Non communicable diseases (global NCDs) + communicable (e.g., tuberculosis, HIV) + medical procedures (repeat D & C, unsafe abortion) + cultural practices (FGM, consangunity3), etc.
Variation in access to effective treatment (target: treatment)
Only 4.2% of all available ART is in Global South (excluding Middle East)4 Help-seeking patterns in LMIC poorly understood
1Smarr 2017 Hum Reprod; 2Agyei-Mensah 2015 J Pop Res; 3Bosdou 2016; 4Dyer 2016
Cardiff Fertility Studies
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