| 1. |
- Murray, Christopher J. L., et al.
(author)
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Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017
- 2018
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In: The Lancet. - 1474-547X .- 0140-6736. ; 392:10159, s. 1995-2051
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Journal article (peer-reviewed)abstract
- Background: Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods: We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10–54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10–14 years and 50–54 years was estimated from data on fertility in women aged 15–19 years and 45–49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. Findings: From 1950 to 2017, TFRs decreased by 49·4% (95% uncertainty interval [UI] 46·4–52·0). The TFR decreased from 4·7 livebirths (4·5–4·9) to 2·4 livebirths (2·2–2·5), and the ASFR of mothers aged 10–19 years decreased from 37 livebirths (34–40) to 22 livebirths (19–24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83·8 million people per year since 1985. The global population increased by 197·2% (193·3–200·8) since 1950, from 2·6 billion (2·5–2·6) to 7·6 billion (7·4–7·9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2·0%; this rate then remained nearly constant until 1970 and then decreased to 1·1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2·5% in 1963 to 0·7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2·7%. The global average age increased from 26·6 years in 1950 to 32·1 years in 2017, and the proportion of the population that is of working age (age 15–64 years) increased from 59·9% to 65·3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1·0 livebirths (95% UI 0·9–1·2) in Cyprus to a high of 7·1 livebirths (6·8–7·4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0·08 livebirths (0·07–0·09) in South Korea to 2·4 livebirths (2·2–2·6) in Niger, and the TFR over age 30 years (TFO30; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0·3 livebirths (0·3–0·4) in Puerto Rico to a high of 3·1 livebirths (3·0–3·2) in Niger. TFO30 was higher than TFU25 in 145 countries and territories in 2017. 33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2·0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. Interpretation: Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress. Funding: Bill & Melinda Gates Foundation.
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| 2. |
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| 3. |
- Amaechina, E., et al.
(author)
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Policy Note: Policy Responses to Ensure Access to Water and Sanitation Services During COVID-19: Snapshots from the Environment for Development (EfD) Network
- 2020
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In: Water Economics and Policy. - : World Scientific Pub Co Pte Lt. - 2382-624X .- 2382-6258. ; 6:4
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Journal article (peer-reviewed)abstract
- This policy note provides a snapshot of water and sanitation measures implemented by governments in response to the COVID-19 pandemic in 14 countries in the Global South: Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Chile, Colombia, Ghana, Kenya, Nigeria, Panama, South Africa, Uganda and Vietnam. We find that many countries have taken action to stop utility disconnections due to non-payment. With the exception of Ghana and Vietnam, few countries are instituting new water subsidy programs, and are instead choosing to defer customers' bills for future payment, presumably when the pandemic recedes and households will be able to pay their bills. It is easier for the utilities' COVID-relief policies to target customers with piped connections who regularly receive bills. However, the situation for unconnected households appears more dire. Some countries (e.g., Ghana, Kenya, South Africa and Uganda) are attempting to provide unconnected households temporary access to water, but these households remain the most vulnerable. This health crisis has accentuated the importance of strong governance structures and resilient water service providers for dealing with external health, environmental and economic shocks.
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| 4. |
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| 5. |
- Meurice, M. E., et al.
(author)
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Stigma surrounding contraceptive use and abortion among secondary school teachers : A cross-sectional study in Western Kenya
- 2021
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In: Contracept X. - 2590-1516. ; 3
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Journal article (peer-reviewed)abstract
- OBJECTIVES: Comprehensive sexual education plays an essential role in adolescent sexual and reproductive health and rights (SRHR). The study aim was to investigate Kenyan secondary school teachers' attitudes toward girls associated with contraceptive use and abortion. STUDY DESIGN: We conducted a cross-sectional study in January 2018 among school teachers (n = 144) at 4 religiously affiliated suburban secondary schools in Kenya and used 2 validated Likert Scales (1-5) to capture contraception and abortion stigma. RESULTS: Overall, 122 teachers responded (85%) (females, 57%; males 43%; age, 21-70 years [mean, 36]). Respondents associated contraceptive use with a promiscuous lifestyle (43%) that will encourage peers to do the same (51%). Respondents indicated that married women were more deserving of contraception than unmarried women (57%), a girl could not herself decide to use contraceptives (50%), and contraceptive use could impair future fertility (57%). Abortion was considered a sin (74%), shameful for the family (48%), a habit (34%), and a behavior that might encourage peers to do the same (51%). Many believed an abortion will lead to worse health (73%). Male and female teachers gave similarly distributed responses. Younger teachers were more likely to find abortion shameful (<29, 64%; 30-39, 39%; ≥40, 39%; p = 0.046). Contraception stigma and abortion stigma were highly correlated (r = 0.355, p < 0.001). CONCLUSIONS: Stigmatizing attitudes associated with contraceptive use and/or abortion were common among teachers in Western Kenya. IMPLICATIONS: Stigma may hinder the sexual and reproductive health and rights of students. Contraceptive use and abortion stigma need to be addressed in teacher education to ultimately improve health outcomes among adolescents.
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| 6. |
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| 7. |
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| 8. |
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| 9. |
- Coates, Matthew M., et al.
(author)
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A comparison of all-cause and cause-specific mortality by household socioeconomic status across seven INDEPTH network health and demographic surveillance systems in sub-Saharan Africa
- 2019
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In: Global Health Action. - : Taylor & Francis Group. - 1654-9716 .- 1654-9880. ; 12:1
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Journal article (peer-reviewed)abstract
- Background: Understanding socioeconomic disparities in all-cause and cause-specific mortality can help inform prevention and treatment strategies.Objectives: To quantify cause-specific mortality rates by socioeconomic status across seven health and demographic surveillance systems (HDSS) in five countries (Ethiopia, Kenya, Malawi, Mozambique, and Nigeria) in the INDEPTH Network in sub-Saharan Africa.Methods: We linked demographic residence data with household survey data containing living standards and education information we used to create a poverty index. Person-years lived and deaths between 2003 and 2016 (periods varied by HDSS) were stratified in each HDSS by age, sex, year, and number of deprivations on the poverty index (0-8). Causes of death were assigned to each death using the InterVA-4 model based on responses to verbal autopsy questionnaires. We estimated rate ratios between socioeconomic groups (2-4 and 5-8 deprivations on our poverty index compared to 0-2 deprivations) for specific causes of death and calculated life expectancy for the deprivation groups.Results: Our pooled data contained almost 3.5 million person-years of observation and 25,038 deaths. All-cause mortality rates were higher among people in households with 5-8 deprivations on our poverty index compared to 0-2 deprivations, controlling for age, sex, and year (rate ratios ranged 1.42 to 2.06 across HDSS sites). The poorest group had consistently higher death rates in communicable, maternal, neonatal, and nutritional conditions (rate ratios ranged 1.34-4.05) and for non-communicable diseases in several sites (1.14-1.93). The disparities in mortality between 5-8 deprivation groups and 0-2 deprivation groups led to lower life expectancy in the higher-deprivation groups by six years in all sites and more than 10 years in five sites.Conclusions: We show large disparities in mortality on the basis of socioeconomic status across seven HDSS in sub-Saharan Africa due to disparities in communicable disease mortality and from non-communicable diseases in some sites. Life expectancy gaps between socioeconomic groups within sites were similar to the gaps between high-income and lower-middle-income countries. Prevention and treatment efforts can benefit from understanding subpopulations facing higher mortality from specific conditions.
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| 10. |
- Davis, J, et al.
(author)
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Specific recommendations for Early Childhood Education
- 2008
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In: The Gothenburg Recommendations on Education for Sustainable Development, Adopted November 12. - Göteborg : Chalmers University of Technology and University of Gothenburg.
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Book chapter (other academic/artistic)
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| 11. |
- Giménez-García, Angel, et al.
(author)
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Pollination supply models from a local to global scale
- 2023
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In: Web Ecology. - 1399-1183. ; 23:2, s. 99-129
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Journal article (peer-reviewed)abstract
- Ecological intensification has been embraced with great interest by the academic sector but is still rarely taken up by farmers because monitoring the state of different ecological functions is not straightforward. Modelling tools can represent a more accessible alternative of measuring ecological functions, which could help promote their use amongst farmers and other decision-makers. In the case of crop pollination, modelling has traditionally followed either a mechanistic or a data-driven approach. Mechanistic models simulate the habitat preferences and foraging behaviour of pollinators, while data-driven models associate georeferenced variables with real observations. Here, we test these two approaches to predict pollination supply and validate these predictions using data from a newly released global dataset on pollinator visitation rates to different crops. We use one of the most extensively used models for the mechanistic approach, while for the data-driven approach, we select from among a comprehensive set of state-of-The-Art machine-learning models. Moreover, we explore a mixed approach, where data-derived inputs, rather than expert assessment, inform the mechanistic model. We find that, at a global scale, machine-learning models work best, offering a rank correlation coefficient between predictions and observations of pollinator visitation rates of 0.56. In turn, the mechanistic model works moderately well at a global scale for wild bees other than bumblebees. Biomes characterized by temperate or Mediterranean forests show a better agreement between mechanistic model predictions and observations, probably due to more comprehensive ecological knowledge and therefore better parameterization of input variables for these biomes. This study highlights the challenges of transferring input variables across multiple biomes, as expected given the different composition of species in different biomes. Our results provide clear guidance on which pollination supply models perform best at different spatial scales-the first step towards bridging the stakeholder-Academia gap in modelling ecosystem service delivery under ecological intensification.
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| 12. |
- Hilonga, S., et al.
(author)
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Trade of wild-harvested medicinal plant species in local markets of Tanzania and its implications for conservation
- 2019
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In: South African Journal of Botany. - : Elsevier. - 0254-6299 .- 1727-9321. ; 122, s. 214-224
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Journal article (peer-reviewed)abstract
- In Tanzania, about 10% of the reported 12,000 species of higher plants are estimated to be used as medicine for treating different human health problems. Most of the medicinal plants are collected from wild populations, but their trade and quantities are not properly recorded. Monitoring of trade in wild-harvested medicinal plants is challenging asmostmaterials are traded in various processed forms and most vendors practice informal trade. Yet, monitoring is important for conservation and sustainability. This study aims to assess the trade of wild-harvested medicinal plant species in local markets of Tanzania and its implications for conservation. Semi-structured interviews were used to record frequency, volume of trade and uses of wild-harvested medicinal plants in Arusha, Dodoma, Mbeya, Morogoro and Mwanza regions. Relative frequency of citation and informant consensus factor were calculated for each species and mentioned use category. Forty vendors were interviewed, and 400 out of 522 collected market samples were identified to 162 species from herbarium-deposited collections. Plant parts with the largest volume of trade were roots (3818 kg), bark (1163 kg) and leaves (492 kg). The most frequently traded species were Zanthoxylum chalybaeum Engl., Albizia anthelmintica Brongn., Zanha africana (Radlk.) Exell, Warburgia stuhlmannii and Vachellia nilotica (L.) P.J.H. Hurter & Mabb. The most popular medicinal plants in the markets are connected to local health problems including malaria, libido disorders or infertility. The high diversity of commercialized plants used for medicinal issues mainly relies on wild stock for local consumption and international trade, and this has significant implications for conservation concerns. (C) 2018 SAAB. Published by Elsevier B.V. All rights reserved.
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| 13. |
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| 14. |
- Jang, Kyung-Jin, et al.
(author)
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Reproducing human and cross-species drug toxicities using a Liver-Chip
- 2019
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In: Science Translational Medicine. - : AMER ASSOC ADVANCEMENT SCIENCE. - 1946-6234 .- 1946-6242. ; 11:517
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Journal article (peer-reviewed)abstract
- Nonclinical rodent and nonrodent toxicity models used to support clinical trials of candidate drugs may produce discordant results or fail to predict complications in humans, contributing to drug failures in the clinic. Here, we applied microengineered Organs-on-Chips technology to design a rat, dog, and human Liver-Chip containing species-specific primary hepatocytes interfaced with liver sinusoidal endothelial cells, with or without Kupffer cells and hepatic stellate cells, cultured under physiological fluid flow. The Liver-Chip detected diverse phenotypes of liver toxicity, including hepatocellular injury, steatosis, cholestasis, and fibrosis, and species-specific toxicities when treated with tool compounds. A multispecies Liver-Chip may provide a useful platform for prediction of liver toxicity and inform human relevance of liver toxicities detected in animal studies to better determine safety and human risk.
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| 15. |
- Lichtenberg, Elinor M., et al.
(author)
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A global synthesis of the effects of diversified farming systems on arthropod diversity within fields and across agricultural landscapes
- 2017
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In: Global Change Biology. - : Wiley. - 1354-1013 .- 1365-2486. ; 23:11, s. 4946-4957
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Journal article (peer-reviewed)abstract
- Agricultural intensification is a leading cause of global biodiversity loss, which can reduce the provisioning of ecosystem services in managed ecosystems. Organic farming and plant diversification are farm management schemes that may mitigate potential ecological harm by increasing species richness and boosting related ecosystem services to agroecosystems. What remains unclear is the extent to which farm management schemes affect biodiversity components other than species richness, and whether impacts differ across spatial scales and landscape contexts. Using a global metadataset, we quantified the effects of organic farming and plant diversification on abundance, local diversity (communities within fields), and regional diversity (communities across fields) of arthropod pollinators, predators, herbivores, and detritivores. Both organic farming and higher in-field plant diversity enhanced arthropod abundance, particularly for rare taxa. This resulted in increased richness but decreased evenness. While these responses were stronger at local relative to regional scales, richness and abundance increased at both scales, and richness on farms embedded in complex relative to simple landscapes. Overall, both organic farming and in-field plant diversification exerted the strongest effects on pollinators and predators, suggesting these management schemes can facilitate ecosystem service providers without augmenting herbivore (pest) populations. Our results suggest that organic farming and plant diversification promote diverse arthropod metacommunities that may provide temporal and spatial stability of ecosystem service provisioning. Conserving diverse plant and arthropod communities in farming systems therefore requires sustainable practices that operate both within fields and across landscapes.
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| 16. |
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| 17. |
- Nduva, George M., et al.
(author)
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Phylogeographic Assessment Reveals Geographic Sources of HIV-1 Dissemination Among Men Who Have Sex With Men in Kenya
- 2022
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In: Frontiers in Microbiology. - : Frontiers Media SA. - 1664-302X. ; 13
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Journal article (peer-reviewed)abstract
- HIV-1 transmission dynamics involving men who have sex with men (MSM) in Africa are not well understood. We investigated the rates of HIV-1 transmission between MSM across three regions in Kenya: Coast, Nairobi, and Nyanza. We analyzed 372 HIV-1 partial pol sequences sampled during 2006–2019 from MSM in Coast (N = 178, 47.9%), Nairobi (N = 137, 36.8%), and Nyanza (N = 57, 15.3%) provinces in Kenya. Maximum-likelihood (ML) phylogenetics and Bayesian inference were used to determine HIV-1 clusters, evolutionary dynamics, and virus migration rates between geographic regions. HIV-1 sub-subtype A1 (72.0%) was most common followed by subtype D (11.0%), unique recombinant forms (8.9%), subtype C (5.9%), CRF 21A2D (0.8%), subtype G (0.8%), CRF 16A2D (0.3%), and subtype B (0.3%). Forty-six clusters (size range 2–20 sequences) were found—half (50.0%) of which had evidence of extensive HIV-1 mixing among different provinces. Data revealed an exponential increase in infections among MSM during the early-to-mid 2000s and stable or decreasing transmission dynamics in recent years (2017–2019). Phylogeographic inference showed significant (Bayes factor, BF > 3) HIV-1 dissemination from Coast to Nairobi and Nyanza provinces, and from Nairobi to Nyanza province. Strengthening HIV-1 prevention programs to MSM in geographic locations with higher HIV-1 prevalence among MSM (such as Coast and Nairobi) may reduce HIV-1 incidence among MSM in Kenya.
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| 18. |
- Nduva, George M., et al.
(author)
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Quantifying rates of HIV-1 flow between risk groups and geographic locations in Kenya : A country-wide phylogenetic study
- 2022
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In: Virus Evolution. - : Oxford University Press (OUP). - 2057-1577. ; 8:1
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Journal article (peer-reviewed)abstract
- In Kenya, HIV-1 key populations including men having sex with men (MSM), people who inject drugs (PWID) and female sex workers (FSW) are thought to significantly contribute to HIV-1 transmission in the wider, mostly heterosexual (HET) HIV-1 transmission network. However, clear data on HIV-1 transmission dynamics within and between these groups are limited. We aimed to empirically quantify rates of HIV-1 flow between key populations and the HET population, as well as between different geographic regions to determine HIV-1 'hotspots' and their contribution to HIV-1 transmission in Kenya. We used maximum-likelihood phylogenetic and Bayesian inference to analyse 4058 HIV-1 pol sequences (representing 0.3 per cent of the epidemic in Kenya) sampled 1986-2019 from individuals of different risk groups and regions in Kenya. We found 89 per cent within-risk group transmission and 11 per cent mixing between risk groups, cyclic HIV-1 exchange between adjoining geographic provinces and strong evidence of HIV-1 dissemination from (i) West-to-East (i.e. higher-to-lower HIV-1 prevalence regions), and (ii) heterosexual-to-key populations. Low HIV-1 prevalence regions and key populations are sinks rather than major sources of HIV-1 transmission in Kenya. Targeting key populations in Kenya needs to occur concurrently with strengthening interventions in the general epidemic.
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| 19. |
- Nduva, George M., et al.
(author)
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Temporal trends and transmission dynamics of pre-treatment HIV-1 drug resistance within and between risk groups in Kenya, 1986–2020
- 2024
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In: Journal of Antimicrobial Chemotherapy. - 0305-7453. ; 79:2, s. 287-296
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Journal article (peer-reviewed)abstract
- Background: Evidence on the distribution of pre-treatment HIV-1 drug resistance (HIVDR) among risk groups is limited in Africa. We assessed the prevalence, trends and transmission dynamics of pre-treatment HIVDR within and between MSM, people who inject drugs (PWID), female sex workers (FSWs), heterosexuals (HETs) and perinatally infected children in Kenya. Methods: HIV-1 partial pol sequences from antiretroviral-naive individuals collected from multiple sources between 1986 and 2020 were used. Pre-treatment reverse transcriptase inhibitor (RTI), PI and integrase inhibitor (INSTI) mutations were assessed using the Stanford HIVDR database. Phylogenetic methods were used to determine and date transmission clusters. Results: Of 3567 sequences analysed, 550 (15.4%, 95% CI: 14.2–16.6) had at least one pre-treatment HIVDR mutation, which was most prevalent amongst children (41.3%), followed by PWID (31.0%), MSM (19.9%), FSWs (15.1%) and HETs (13.9%). Overall, pre-treatment HIVDR increased consistently, from 6.9% (before 2005) to 24.2% (2016–20). Among HETs, pre-treatment HIVDR increased from 6.6% (before 2005) to 20.2% (2011–15), but dropped to 6.5% (2016–20). Additionally, 32 clusters with shared pre-treatment HIVDR mutations were identified. The majority of clusters had R0 ≥ 1.0, indicating ongoing transmissions. The largest was a K103N cluster involving 16 MSM sequences sampled between 2010 and 2017, with an estimated time to the most recent common ancestor (tMRCA) of 2005 [95% higher posterior density (HPD), 2000–08], indicating propagation over 12 years. Conclusions: Compared to HETs, children and key populations had higher levels of pre-treatment HIVDR. Introduction of INSTIs after 2017 may have abrogated the increase in pre-treatment RTI mutations, albeit in the HET population only. Taken together, our findings underscore the need for targeted efforts towards equitable access to ART for children and key populations in Kenya.
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| 20. |
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| 21. |
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| 22. |
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| 23. |
- Pereus, D., et al.
(author)
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Diversity of Hypoxis species used in ethnomedicine in Tanzania
- 2019
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In: South African Journal of Botany. - : ELSEVIER SCIENCE BV. - 0254-6299 .- 1727-9321. ; 122, s. 336-341
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Journal article (peer-reviewed)abstract
- The corms of different Hypoxis species (Hypoxidaceae) are used for the treatment and management of a variety of human ailments and disorders in African traditional medicine. However, the used corms are morphologically similar and it is not known whether this has resulted in different species being harvested, prescribed and sold as the same species. Ethnomedicinal information regarding its use in Tanzania is scanty and the available ethnobotanical information about the plants is mostly from various studies done outside Tanzania. The objective of the study was to document the diverse uses of Hypoxis in Tanzania and study what species are used and whether preferences exist for specific species. Focus group discussions and in depth interviews with informants were done in 15 regions of Tanzania to document local uses of Hypoxis species and collect vouchers for identification. Traditional practitioners use Hypoxis to manage a variety of human illness in Tanzania, and appear to use different species indiscriminately for medicine, socio-cultural applications and for food. Medicinal uses include treatment of benign prostate hypertrophy, cancer, diabetes, gout, headache, HIV/AIDS, infertility, ringworms, stomachache, and urinary tract infections. In Tanzania, different Hypoxis species are used indiscriminately for a range of sociocultural and medicinal purposes. The reported medicinal uses could aid testing and evaluation of traditional herbal medicine and more research is needed to test their pharmacological effects. (C) 2018 SAAB. Published by Elsevier B.V. All rights reserved.
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| 24. |
- Posthouwer, Chantal, et al.
(author)
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Quantitative market survey of non-woody plants sold at Kariakoo Market in Dar es Salaam, Tanzania
- 2018
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In: Journal of Ethnopharmacology. - : Elsevier BV. - 0378-8741 .- 1872-7573. ; 222, s. 280-287
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Journal article (peer-reviewed)abstract
- Ethnopharmacological relevance: In Tanzania, traditional medicine plays a significant role in health care and local economies based on the harvesting, trade and sale of medicinal plant products. The majority of this plant ma- terial is said to originate from wild sources, and both traditional healers and vendors are concerned about the increasing scarcity of certain species.Aim of the study: A market survey of non-powdered, non-woody medicinal plants was conducted at Kariakoo Market in Dar es Salaam, the major hub for medicinal plant trade in Tanzania, to assess sustainability of traded herbal medicine. Materials and Methods: For this study, fresh and dried herbs, seeds and fruits were collected and interviews were conducted to obtain information on vernacular names, preparation methods, monthly sales, uses and prices. Bundles of herbal medicine offered for sale were weighed and counted to calculate the value and volumes of daily stock at the market.Results: A total of 71 medicinal plant products belonging to 62–67 different species from at least 41 different plant families were identified. We identified 45 plant products to species level, 20 products to genus level and four to family level. Plant species most encountered at the market were Suregada zanzibariensis, Myrothamnus flabellifolia and Sclerocarya birrea. The major use categories reported by the vendors were ritual purposes, di- gestive disorders and women's health. Annual sales are estimated to be in excess of 30 t and close to 200,000 USD, and trade in herbal medicine at Kariakoo Market provides subsistence income to many local vendors. Conclusions: A large diversity of wild-harvested plant species is traded as medicinal products in Tanzania, in- cluding species listed on CITES Appendices. Identifying and monitoring temporal changes in availability per season and from year to year will reveal which species are most affected by this trade, and help relevant au- thorities in Tanzania to find alternative sources of income for dependent stakeholders and initiate targeted efforts to protect threatened plant species.
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| 25. |
- Veldman, Sarina, et al.
(author)
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Conservation of endangered wild harvested medicinal plants : use of DNA barcoding
- 2014
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In: Novel plant bioresources. - : John Wiley & Sons. - 9781118460610 - 9781118460566 ; , s. 81-88
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Book chapter (other academic/artistic)abstract
- The field of molecular biology has brought many innovations to biodiversity research, with the emerging field of DNA barcoding, which is having a growing impact on plant identification. In DNA barcoding, standard molecular markers are used for species identification of material that has hitherto been hard or impossible to identify, such as sterile plant vouchers, plant parts and even processed herbal products. Widespread use of DNA barcoding for plant identification faces challenges such as the selection of suitable markers that are both variable and easy to amplify, and the exhaustive presence of these markers for species in public nucleotide repositories. In recent years, researchers have successfully shown the power and accuracy of plant barcoding by creating molecular identification systems for various purposes, such as the identification of specific medicinal plant species susceptible to adulteration, overharvested and endangered taxa, and monitoring of cross-border trade in CITES-listed species. As markers, nucleotide repositories and sequencing technology improve, these methods will become ubiquitous and will facilitate the identification of products derived from wild-harvested medicinal plants and the enforcement of the Convention on Biological Diversity Nagoya protocol on Access and Benefit Sharing.
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