Evidence map›Paper›PMID 36962582›Full record

ArticlePLOS global public health2022

Stratification of malaria incidence in Papua New Guinea (2011-2019): Contribution towards a sub-national control policy.

Osama Seidahmed, Sharon Jamea, Serah Kurumop, Diana Timbi, Leo Makita, Munir Ahmed, Tim Freeman, William Pomat, Manuel W Hetzel

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Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Osama SeidahmedSwiss Tropical and Public Health Institute, Allschwil, Switzerland.ORCID https://orcid.org/0000-0002-5353-9320
Sharon JameaPapua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.
Serah KurumopPapua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.
Diana TimbiPapua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.
Leo MakitaNational Department of Health, Port Moresby, Papua New Guinea.
Munir AhmedRotarians Against Malaria, Port Moresby, Papua New Guinea.
Tim FreemanRotarians Against Malaria, Port Moresby, Papua New Guinea.ORCID https://orcid.org/0000-0001-5445-8875
William PomatPapua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.
Manuel W HetzelSwiss Tropical and Public Health Institute, Allschwil, Switzerland.ORCID https://orcid.org/0000-0002-5285-3254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malaria risk in Papua New Guinea (PNG) is highly heterogeneous, between and within geographical regions, which is operationally challenging for control. To enhance targeting of malaria interventions in PNG, we investigated risk factors and stratified malaria incidence at the level of health facility catchment areas. Catchment areas and populations of 808 health facilities were delineated using a travel-time accessibility approach and linked to reported malaria cases (2011-2019). Zonal statistics tools were used to calculate average altitude and air temperature in catchment areas before they were spatially joined with incidence rates. In addition, empirical Bayesian kriging (EBK) was employed to interpolate incidence risk strata across PNG. Malaria annual incidence rates are, on average, 186.3 per 1000 population in catchment areas up to 600 m, dropped to 98.8 at (800-1400) m, and to 24.1 cases above 1400 m altitude. In areas above the two altitudinal thresholds 600m and 1400m, the average annual temperature drops below 22°C and 17°C, respectively. EBK models show very low- to low-risk strata (<100 cases per 1000) in the Highlands, National Capital District and Bougainville. In contrast, patches of high-risk (>200 per 1000) strata are modelled mainly in Momase and Islands Regions. Besides, strata with moderate risk (100-200) predominate throughout the coastal areas. While 35.7% of the PNG population (estimated 3.33 million in 2019) lives in places at high or moderate risk of malaria, 52.2% (estimated 4.88 million) resides in very low-risk areas. In five provinces, relatively large proportions of populations (> 50%) inhabit high-risk areas: New Ireland, East and West New Britain, Sandaun and Milne Bay. Incidence maps show a contrast in malaria risk between coastal and inland areas influenced by altitude. However, the risk is highly variable in low-lying areas. Malaria interventions should be guided by sub-national risk levels in PNG.

Identifiers

PMID36962582
PMCPMC10022348

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.