| Literature DB >> 25471215 |
Shui-sen Zhou, Aafje E C Rietveld, Mar Velarde-Rodriguez, Andrew R Ramsay, Shao-sen Zhang, Xiao-nong Zhou, Richard E Cibulskis1.
Abstract
A literature review for operational research on malaria control and elimination was conducted using the term 'malaria' and the definition of operational research (OR). A total of 15 886 articles related to malaria were searched between January 2008 and June 2013. Of these, 582 (3.7%) met the definition of operational research. These OR projects had been carried out in 83 different countries. Most OR studies (77%) were implemented in Africa south of the Sahara. Only 5 (1%) of the OR studies were implemented in countries in the pre-elimination or elimination phase. The vast majority of OR projects (92%) were led by international or local research institutions, while projects led by National Malaria Control Programmes (NMCP) accounted for 7.8%. With regards to the topic under investigation, the largest percentage of papers was related to vector control (25%), followed by epidemiology/transmission (16.5%) and treatment (16.3%). Only 19 (3.8%) of the OR projects were related to malaria surveillance. Strengthening the capacity of NMCPs to conduct operational research and publish its findings, and improving linkages between NMCPs and research institutes may aid progress towards malaria elimination and eventual eradication world-wide.Entities:
Mesh:
Year: 2014 PMID: 25471215 PMCID: PMC4265439 DOI: 10.1186/1475-2875-13-473
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Figure 1Selection of malaria OR projects that were included in the analysis.
Figure 2Regions where OR projects have been implemented, 2008–2013. AMR: Region of the Americas EMR: Eastern Mediterranean Region. WPR: Western Pacific Region SEAR: South-East Asia Region.
Top 12 countries where OR projects were most frequently implemented, 2008-2013
| No. | Country | projects | Percentage |
|---|---|---|---|
| 1 | Tanzania | 79 | 15.3% |
| 2 | Kenya | 51 | 9.9% |
| 3 | Nigeria | 44 | 8.5% |
| 4 | Uganda | 35 | 6.8% |
| 5 | Ethiopia | 33 | 6.4% |
| 6 | Ghana | 19 | 3.7% |
| 7 | Zambia | 17 | 3.3% |
| 8 | Benin | 12 | 2.3% |
| 9 | Burkina Faso | 12 | 2.3% |
| 10 | Cameroon | 9 | 1.7% |
| 11 | India | 9 | 1.7% |
| 12 | Solomon Islands | 9 | 1.7% |
Figure 3Type of institution leading the implementation of OR projects, 2008–2013.
Figure 4Study methodologies commonly used in OR studies, 2008–2013.
Thematic areas and specific topics
| Programmatic themes | Number | Percent | Research topics | Number | Percent |
|---|---|---|---|---|---|
| Diagnosis | 47 | 9.1% | RDT | 25 | 4.9% |
| Parasitologically-confirmed diagnosis | 9 | 1.7% | |||
| Diagnostics comparison | 10 | 1.9% | |||
| Perception & adherence to guidelines | 2 | 0.4% | |||
| QA/EQA | 1 | 0.2% | |||
| Treatment | 84 | 16.3% | G6PD | 3 | 0.6% |
| Anti-relapse and Primaquine | 6 | 1.2% | |||
| Accessibility to treatment | 10 | 1.9% | |||
| Adherence to treatment | 15 | 2.9% | |||
| Home management | 18 | 3.5% | |||
| Efficacy and resistance to antimalarial | 5 | 1.0% | |||
| Treatment perception & behaviour | 27 | 5.2% | |||
| Prevention | 52 | 10.1% | Community perception & practice | 14 | 2.7% |
| Prevention & IPTp | 27 | 5.2% | |||
| Prevention & IPTi | 5 | 1.0% | |||
| Prevention & IPTc | 5 | 1.0% | |||
| Chemoprophylaxis | 1 | 0.2% | |||
| Vector control | 129 | 25.0% | Perception & acceptability of IRS | 5 | 1.0% |
| Perception & acceptability of bednets | 32 | 6.2% | |||
| Environment management | 5 | 1.0% | |||
| Mosquito sampling methods | 5 | 1.0% | |||
| ITN vs IRS and combination | 5 | 1.0% | |||
| Ownership & utilization of bednets | 40 | 7.8% | |||
| Bionomics of vector & efficacy of insecticide | 21 | 4.1% | |||
| Larvae & larviciding | 4 | 0.8% | |||
| Impact of anti-vector intervention | 5 | 1.0% | |||
| Outdoor-biting | 4 | 0.8% | |||
| Sustain or phase out of vector intervention | 1 | 0.2% | |||
| IVM | 1 | 0.2% | |||
| Geographical Reconnaissance (GR) | 1 | 0.2% | |||
| Epidemiology & transmission | 85 | 16.5% | Infection reservoir-asymptomatic, submicroscopic, gametocyte carriers | 15 | 2.9% |
| Risk factor & Prevalence | 22 | 4.3% | |||
| Hotspot & foci | 7 | 1.4% | |||
| Importation | 13 | 2.5% | |||
| Elimination strategy | 2 | 0.4% | |||
| Reintroduction | 4 | 0.8% | |||
| Risk & distribution mapping/model | 22 | 4.3% | |||
| Surveillance | 19 | 3.8% | Reporting & quality of data | 6 | 1.2% |
| Mobile phone-based case detection | 3 | 0.6% | |||
| ACD vs PCD | 8 | 1.6% | |||
| Surveillance as intervention | 1 | 0.2% | |||
| Early warning & response | 1 | 0.2% | |||
| Health system | 73 | 14.2% | Health worker's perception & practice | 27 | 5.2% |
| Availability & use of service | 7 | 1.4% | |||
| Health facility performance | 19 | 3.7% | |||
| Provision of service by private sectors | 6 | 1.2% | |||
| Perception & adherence to guidelines of private sectors | 5 | 1.0% | |||
| Subsidy policy to private sectors | 8 | 1.6% | |||
| Malaria reporting by private sectors | 1 | 0.2% | |||
| Cost-effectiveness | 26 | 5.0% | 26 | 5.0% | |
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| 515 |
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| 100.0% |