Nigeria: “Ground Zero" for the High Prevalence Neglected Tropical Diseases

Hotez, Peter J.; Asojo, Oluwatoyin A.; Adesina, Adekunle M.

doi:10.1371/journal.pntd.0001600

Cited by 101 publications

(98 citation statements)

References 12 publications

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“…Nigeria is a West African country with over 150 million people, and accounts for 20% of the African population (Hotez, Asojo, & Adesina, 2012). Nigeria is the largest economy in Africa 1 and 25th in the world.…”

Section: Introductionmentioning

confidence: 99%

Theory, Practice and Policy: An Inquiry into the Uptake of HCI Practices in the Software Industry of a Developing Country

Ogunyemi

Lamas

Adagunodo

et al. 2016

International Journal of Human–Computer Interaction

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With almost four decades of existence as a community, human-computer interaction (HCI) practice has yet to diffuse into a large range of software industries globally. A review of existing literature suggests that the diffusion of HCI practices in software organizations lacks theoretical guidance. Although many studies have tried to facilitate HCI uptake by the software industry, there are scarce studies that consider HCI practices as innovations that software organizations could or should adopt. Furthermore, there appears to be a lack of structure in the facilitation of HCI methodological development within the specialized emerging regions field such as Sub-Saharan Africa. In order to address this gap, an exploratory investigation regarding the state of uptake of HCI practices in Nigeria is conducted. The aim of this article is to improve our understanding regarding the state of HCI uptake in developing countries and the challenges prevailing. The findings show that HCI practice still remains within its infancy stage in most software companies. Universities are also lacking the required knowledge transfer of HCI to the students, and in effect themselves contributing to the lack of HCI skills in industry. Furthermore, government policies are in need of refinement and end-users' involvement in software development is not prioritized.

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Section: Introductionmentioning

confidence: 99%

Theory, Practice and Policy: An Inquiry into the Uptake of HCI Practices in the Software Industry of a Developing Country

Ogunyemi

Lamas

Adagunodo

et al. 2016

International Journal of Human–Computer Interaction

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“…15 With regards to LF, available recent reports indicate that in Africa, 34 countries are endemic, and Nigeria is believed to bear the highest burden of LF, with an estimated 80 to 120 million people at risk. [16][17][18] In a recent review article, Adenowo and colleagues 19 noted that schistosomiasis is the second most common neglected tropical disease after hookworm in SubSaharan Africa and accounts for 93% (192 million) of the world estimated 207 million cases of schistosomiasis with the highest prevalence of the infection seen in Nigeria (29 million). Adam and colleagues 20 observed that there is the growing recognition of the importance of developing concise materials and tools to communicate various types of information to policy-makers and those supporting them.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Capacity of Policy-Makers to Develop Evidence-Informed Policy Brief on Infectious Diseases of Poverty in Nigeria

Uneke

Ezeoha

Uro-Chukwu

et al. 2015

Int J Health Policy Manag

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Background: The lack of effective use of research evidence in policy-making is a major challenge in most low-and middle-income countries (LMICs). There is need to package research data into effective policy tools that will help policy-makers to make evidence-informed policy regarding infectious diseases of poverty (IDP). The objective of this study was to assess the usefulness of training workshops and mentoring to enhance the capacity of Nigerian health policy-makers to develop evidence-informed policy brief on the control of IDP. Methods: A modified "before and after" intervention study design was used in which outcomes were measured on the target participants both before the intervention is implemented and after. A 4-point Likert scale according to the degree of adequacy; 1 = "grossly inadequate, " 4 = "very adequate" was employed. The main parameter measured was participants' perceptions of their own knowledge/understanding. This study was conducted at subnational level and the participants were the career health policy-makers drawn from Ebonyi State in the South-Eastern Nigeria. A oneday evidence-to-policy workshop was organized to enhance the participants' capacity to develop evidence-informed policy brief on IDP in Ebonyi State. Topics covered included collaborative initiative; preparation and use of policy briefs; policy dialogue; ethics in health policy-making; and health policy and politics. Results: The preworkshop mean of knowledge and capacity ranged from 2.49-3.03, while the postworkshop mean ranged from 3.42-3.78 on 4-point scale. The percentage increase in mean of knowledge and capacity at the end of the workshop ranged from 20.10%-45%. Participants were divided into 3 IDP mentorship groups (malaria, schistosomiasis, lymphatic filariasis [LF]) and were mentored to identify potential policy options/recommendations for control of the diseases for the policy briefs. These policy options were subjected to research evidence synthesis by each group to identify the options that have the support of research evidence (mostly systematic reviews) from PubMed, Cochrane database and Google Scholar. After the evidence synthesis, five policy options were selected out of 13 for malaria, 3 out of 10 for schistosomiasis and 5 out of 11 for LF. Conclusion:The outcome suggests that an evidence-to-policy capacity enhancement workshop combined with a mentorship programme can improve policy-makers' capacity for evidence-informed policy-making (EIP). Implications for policy makers• Policy-makers need to have access to the right information on infectious diseases of poverty (IDP) at the right time to inform decisions that draw on the evidence of what works. There are numerous reports which have shown that the availability of timely, suitably packaged and policy relevant research evidence is important in supporting increased use of research evidence in the policy processes. • Policy-makers' knowledge and capacity to develop evidence-informed policy materials such as policy briefs can be enhanced via evidence-top...

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“…Nigeria, however, has only received limited international support due to absence of governmental commitment and reliable empirical data. Given the large population of the country and the high frequency of NTDs, including schistosomiasis, this situation will only change when the current neglect is translated into proactive action (Hotez et al, 2012). The ongoing global move to control and eventually eliminate the NTDs (IPPPH, 2009;BMGF, 2010;Utzinger, 2012;WHO, 2012;Rollinson et al, 2013) will likely result in many African nations receiving support to implement national control programmes.…”

Section: Introductionmentioning

confidence: 99%

Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

et al. 2013

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Abstract. Schistosomiasis prevalence data for Nigeria were extracted from peer-reviewed journals and reports, geo-referenced and collated in a nationwide geographical information system database for the generation of point prevalence maps. This exercise revealed that the disease is endemic in 35 of the country's 36 states, including the federal capital territory of Abuja, and found in 462 unique locations out of 833 different survey locations. Schistosoma haematobium, the predominant species in Nigeria, was found in 368 locations (79.8%) covering 31 states, S. mansoni in 78 (16.7%) locations in 22 states and S. intercalatum in 17 (3.7%) locations in two states. S. haematobium and S. mansoni were found to be co-endemic in 22 states, while co-occurrence of all three species was only seen in one state (Rivers). The average prevalence for each species at each survey location varied between 0.5% and 100% for S. haematobium, 0.2% to 87% for S. mansoni and 1% to 10% for S. intercalatum. The estimated prevalence of S. haematobium, based on Bayesian geospatial predictive modelling with a set of bioclimatic variables, ranged from 0.2% to 75% with a mean prevalence of 23% for the country as a whole (95% confidence interval (CI): 22.8-23.1%). The model suggests that the mean temperature, annual precipitation and soil acidity significantly influence the spatial distribution. Prevalence estimates, adjusted for school-aged children in 2010, showed that the prevalence is <10% in most states with a few reaching as high as 50%. It was estimated that 11.3 million children require praziquantel annually (95% CI: 10.3-12.2 million).

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Nigeria: “Ground Zero" for the High Prevalence Neglected Tropical Diseases

Cited by 101 publications

References 12 publications

Theory, Practice and Policy: An Inquiry into the Uptake of HCI Practices in the Software Industry of a Developing Country

Theory, Practice and Policy: An Inquiry into the Uptake of HCI Practices in the Software Industry of a Developing Country

Enhancing the Capacity of Policy-Makers to Develop Evidence-Informed Policy Brief on Infectious Diseases of Poverty in Nigeria

Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

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