A Robust Multi-Dimensional Poverty Profile for Uganda

In this paper we compute a multi-dimensional poverty index (MPI) for Uganda following the approach proposed by Alkire and Forster (2007). Using household survey data we show how the incidence of multi-dimensional poverty has fallen in recent years and we use the decomposability features of the index to explain the drivers of reduction in multi-dimensional poverty. We also compare the results from Uganda with other countries for which the MPI has been computed and we note some caveats in such a comparison. The robustness of our estimates is tested in a stochastic dominance framework and using statistical inference. Notably, we extend the one-dimensional analysis of stochastic dominance to take into account household size in a second dimension, which is particularly important as some of the MPI indicators are sensitive to the number of household members. By exploiting a unique subsample of the integrated household survey programme in Uganda, which has not previously been analysed, we are also able to match the data-set used for the MPI with data used to compute the conventional estimates of monetary poverty. This enables a more robust assessment of the complementarities of the two types of poverty measures than has been previously possible.multidimensional poverty, counting approach, Uganda, household size, robustness analysis, international comparisons.

Can diaries help improve agricultural production statistics ? Evidence from Uganda

Although good and timely information on agricultural production is critical for policy-decisions, the quality of underlying data is often low and improving data quality could have a high payoff. This paper uses data from a production diary, administered concurrently with a standard household survey in Uganda to analyze the nature and incidence of responses, the magnitude of differences in reported outcomes, and factors that systematically affect these. Despite limited central supervision, diaries elicited a strong response, complemented standard surveys in a number of respects, and were less affected by problems of respondent fatigue than expected. The diary-based estimates of output value consistently exceeded that from the recall-based production survey, in line with reported disposition. Implications for policy and practical administration of surveys are drawn out.Rural Development Knowledge&Information Systems,Crops&Crop Management Systems,Food&Beverage Industry,Scientific Research&Science Parks,Science Education

Molecular epidemiology of Mycobacterium bovis in Cameroon

We describe the largest molecular epidemiological study of Bovine Tuberculosis (bTB) in a sub-Saharan African country with higher spatial resolution providing new insights into bTB. Four hundred and ninety-nine samples were collected for culture from 201 and 179 cattle with and without bTB-like lesions respectively out of 2,346 cattle slaughtered at Bamenda, Ngaoundere, Garoua and Maroua abattoirs between 2012-2013. Two hundred and fifty-five M. bovis were isolated, identified and genotyped using deletion analysis, Hain® Genotype MTBC, spoligotyping and MIRU-VNTR. African 1 was the dominant M. bovis clonal complex, with 97 unique genotypes including 19 novel spoligotypes representing the highest M. bovis genetic diversity observed in Africa to date. SB0944 and SB0953 dominated (63%) the observed spoligotypes. A third of animals with multiple lesions had multiple strain infections. Higher diversity but little evidence of recent transmission of M. bovis was more common in Adamawa compared to the North-West Region. The Adamawa was characterised by a high frequency of singletons possibly due to constant additions from an active livestock movement network compared to the North-West Region where a local expansion was more evident. The latter combined with population-based inferences suggest an unstable and stable bTB-endemic status in the North-West and Adamawa Regions respectively

Genetic profiling of Mycobacterium bovis strains from slaughtered cattle in Eritrea

<div><p><i>Mycobacterium bovis</i> (<i>M</i>.<i>bovis</i>) is the main causative agent for bovine tuberculosis (BTB) and can also be the cause of zoonotic tuberculosis in humans. In view of its zoonotic nature, slaughterhouse surveillance, potentially resulting in total or partial condemnation of the carcasses and organs, is conducted routinely. Spoligotyping, VNTR profiling, and whole genome sequencing (WGS) of <i>M</i>. <i>bovis</i> isolated from tissues with tuberculosis-like lesions collected from 14 cattle at Eritrea’s largest slaughterhouse in the capital Asmara, were conducted.The 14 <i>M</i>. <i>bovis</i> isolates were classified into three different spoligotype patterns (SB0120, SB0134 and SB0948) and six VNTR profiles. WGS results matched those of the conventional genotyping methods and further discriminated the six VNTR profiles into 14 strains. Furthermore, phylogenetic analysis of the <i>M</i>. <i>bovis</i> isolates suggests two independent introductions of BTB into Eritrea possibly evolving from a common ancestral strain in Europe.This molecular study revealed the most important strains of <i>M</i>. <i>bovis</i> in Eritrea and their (dis)similarities with the strains generally present in East Africa and Europe, as well as potential routes of introduction of <i>M</i>. <i>bovis</i>. Though the sample size is small, the current study provides important information as well as platform for future in-depth molecular studies on isolates from both the dairy and the traditional livestock sectors in Eritrea and the region. This study provides information onthe origin of some of the <i>M</i>. <i>bovis</i> strains in Eritrea, its genetic diversity, evolution and patterns of spread between dairy herds. Such information is essential in the development and implementation of future BTB control strategy for Eritrea.</p></div

Non-tuberculous mycobacteria isolated from slaughter pigs in Mubende district, Uganda

<p>Abstract</p> <p>Background</p> <p>The importance of infections caused by non-tuberculous mycobacteria (NTM) in animals and humans has gained considerable recognition during the past few years. In the developed world, where pig production is extensively practiced, studies on mycobacterial infections and related control strategies have received increasing attention. The infections are reported to be caused by a wide spectrum of NTM. Unfortunately, these infections have been less recognized in sub-Saharan Africa owing to lack of awareness and systematic studies. In this study we aimed at isolating and identifying species of mycobacteria involved in causing infections in slaughter pigs in Mubende district of Uganda. Furthermore we wanted to identify factors associated with infection prevalence in the study area.</p> <p>Methods</p> <p>A total of 363 lymph nodes were collected and cultured for the presence of mycobacteria. Isolates were identified by 16S rDNA gene sequencing. A questionnaire survey was administered to identify production related factors associated with infection prevalence. Data were assembled and analysed using descriptive statistics and mixed effects logistic regression analysis.</p> <p>Results</p> <p>Mycobacteria were detected in 39 % (143/363) of the examined lymph nodes, 63 % (59/93) of lymph nodes with gross lesions typical of mycobacteriosis and 31% (84/270) of lymph nodes with no visible lesions. Nineteen per cent of the isolated mycobacteria were identified as <it>Mycobacterium (M) avium</it>, of these 78% and 22% were <it>M. avium</it> sub sp. <it>Hominissuis</it> and <it>avium</it> respectively. Other mycobacterial species included <it>M. senuense</it> (16%)<it>, M. terrae</it> (7%) and <it>M. asiaticum</it> (6%). This study found free range systems (OR = 3.0; P = 0.034) and use of water from valley dams (OR = 2.0; P = 0.049) as factors associated with high prevalence of mycobacteria in slaughter pigs.</p> <p>Conclusions</p> <p>This study demonstrated a high prevalence of NTM infections among slaughter pigs in Mubende district of Uganda. <it>M. avium</it> was the most prevalent of all NTM isolated and identified. Free range system of pig management and valley dam water were the most significant factors associated with NTM prevalence in Mubende district. These findings could be of a major public health concern given that it is in a predominantly pork consuming population with 18% HIV/AIDS prevalence. Therefore, stringent post-mortem inspection at the slaughter houses is of paramount importance to reduce human exposure.</p

Local Government Financing and Provision in an Institutionally Constrained Decentralized System: The Case of Agricultural Extension in Uganda

Decentralization is a key governance reform which many developing countries have embarked on. Local governments are expected to use their informational advantage to improve the delivery of public goods. This result implied by Tiebout’s (1956) model requires fully informed citizens who “vote with their feet.” The model’s application to developing countries has been limited, since local decisions may not be responsive to local demands. Practitioners are shifting to innovations that minimize institutional constraints so that decentralized programs can lead to improved outcomes. Examples of such innovative ways include decentralized agricultural extension programs, which embrace farmers’ empowerment, local government, and private sector participation. Few impact evaluation studies on agricultural extension have combined qualitative and quantitative methods. This dissertation contributes to the literature by applying these methods and survey data to study the impact of a decentralized extension program in Uganda, known as the National Agricultural Advisory Services (NAADS) on the value of farm production per acre. The program is non-randomly assigned to local governments and farmers self-select in or out within participating sub-counties. Using a sample of 305 participating and non-participating farmers and local government assessment indicators as instruments, we cannot reject the null that the NAADS program has had an impact. The 2SLS results show no program impact; however, the OLS results show that the program had a positive impact on the value of farm production per acre of about 20 percent. Qualitative results show that NAADS farmers: participate in local decision making processes through farmers’ institutions; have increased knowledge on farming; and practice enterprise diversification. The quantitative finding must be treated with caution; for example, the study did not account for spillover effects. The NAADS program faces challenges inherent in Uganda’s decentralized structure; particularly the low financial and human capacity, and the weak monitoring at the local level. The policy implications include: the need to strengthen farmers’ institutions; development of a marketing strategy; clear policy guidelines for local government support to NAADS; improved coordination of NAADS activities among line ministries; need for additional resources for NAADS activities; and improved capacity of service providers