Malaria Control Measures for Oil and Gas Operations - What Works, What Doesn't, What Does the Literature Say?
Bibliographic record
Abstract
Malaria Control Measures for Oil and Gas Operations - What Works, What Doesn't, What Does the Literature Say? Marci Z. Balge; Marci Z. Balge Newfields Inc. Search for other works by this author on: This Site Google Scholar Gary R. Krieger Gary R. Krieger Newfields Inc. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Asia Pacific Health, Safety and Environment Conference and Exhibition, Kuala Lumpur, Malaysia, September 2005. Paper Number: SPE-96472-MS https://doi.org/10.2118/96472-MS Published: September 19 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Balge, Marci Z., and Gary R. Krieger. "Malaria Control Measures for Oil and Gas Operations - What Works, What Doesn't, What Does the Literature Say?." Paper presented at the SPE Asia Pacific Health, Safety and Environment Conference and Exhibition, Kuala Lumpur, Malaysia, September 2005. doi: https://doi.org/10.2118/96472-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Asia Pacific Health, Safety, Security, Environment and Social Responsibility Symposium Search Advanced Search Exploration and Production projects can potentially create adverse health impacts for workers and surrounding communities unless appropriate malaria control programs are designed, implemented and monitored on an ongoing basis.These company based control programs often contain measures that often are not evidence-based and that may actually impair community malaria control efforts.This paper will present strategies and tools for use in developing effective malaria prevention and control programs through reviewing the current literature regarding:Malaria educationBite prevention and vector controlChemoprophylaxisDiagnosis and treatmentThese strategies can result in cost effective mitigation of potential adverse health impacts by implementing scientifically based programs developed for the specific malaria risk in the defined geographic area.AwarenessA study of 100,336 travelers who visited malaria endemic areas in East Africa showed that less than 2% systematically tried to reduce the risk of infection by using a broad variety of personal protective measures (air conditioning, screens, bed nets, long sleeved clothing/trousers, repellents and insecticides) (Shoepke, 1998).All workers should receive consistent, standardized educational material and instruction before travel to malaria risk areas and this instruction should be regularly reinforced while working in the malaria risk area.In addition all workers must consult a travel medicine specialist to obtain chemoprophylaxis and begin the prescribed regime within an appropriate time frame before travel.Bite PreventionBednetsA recent study in the Mt. Cameroon region found that overall infective biting rates of the three species of Anopheles were one infective bite every other night during the rainy season and once every five nights during the dry season.Anopheles gambiae, the most aggressive species, exhibited biting rates of three per man per night in the rainy season and 5.53 bites per night during the dry season (Wanji, 2003).Pyrethroids are effective against mosquitoes, flies, ticks and chiggers and are the only group of insecticides cleared for use on insecticide treated nets (ITNs) (Croft, 2001).They exhibit high knock down effects and high insecticidal potency at low dosages, combined with relative safety for human contact and domestic handling.ITNs have been shown to reduce the transmission by more than 90 to 95% in areas of intense, perennial transmission. (Gimnig, 2003; Croft, 2000).Results of U.S. troops studied in Somalia showed that soldiers who did not use treated bed nets regularly were 2.6 times more likely to develop malaria (Wallace, 1996). Evidence based medicine guidelines in Canada regarding personal measures to prevent malaria are: insecticide (permethrin or deltamethrin) impregnated mosquito nets, permethrin treatment of clothing, and DEET on exposed skin (Canadian Guidelines, 2000) Keywords: protection, vector control, somalia, society of petroleum engineers, malaria, mosquito, transmission, health & medicine, permethrin, vector Subjects: Health, Infectious diseases (HIV/AIDS, malaria, tuberculosis) This content is only available via PDF. 2005. Society of Petroleum Engineers You can access this article if you purchase or spend a download.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.032 | 0.008 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".