Distance to<i>Anopheles sundaicus</i>larval habitats dominant among risk factors for parasitemia in meso-endemic Southwest Sumba, Indonesia

Nixon, Christian P.; Nixon, Christina E.; Arsyad, Dian Sidik; Chand, Krisin; Yudhaputri, Frilasita A.; Sumarto, Wajiyo; Wangsamuda, Suradi; Asih, Puji Budi Setia; Marantina, Sylvia Sance; Wahid, Isra; Han, G. T.; Friedman, Jennifer F.; Bangs, Michael J.; Baird, J. Kevin

doi:10.1179/2047773214y.0000000167

Cited by 18 publications

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“…balabacensis, An. vagus Mixed methods 42,264 5 villages 0.50% 90 km 2 1 year ACD, PCD (LM) Individual ★★ Ndiath et al [ 56 ] Keur Soce DHS site, Senegal P. falciparum Not specified Cross sectional 1614 74 villages 12% 312 km 2 1 month ACD (RDT) Individual ★★★★★★★★ Nixon et al [ 57 ] Wainyapu village, Sumba, Indonesia P. falciparum, P. vivax, P malariae An. sundaicus, An.…”

Section: Resultsmentioning

confidence: 99%

“…fishing, bathing) [ 24 , 26 ] [ 24 ] Environmental factors Housing construction quality [ 6 , 24 , 28 , 38 , 48 , 51 , 57 , 61 , 66 ] [ 6 , 48 , 51 ] House roofing material [ 2 , 44 , 47 , 49 , 50 , 63 , 64 , 68 ] [ 2 , 47 , 50 , 68 ] House wall material [ 2 , 24 , 47 , 52 , 62 , 64 , 67 , 68 ] [ 2 , 52 , 64 , 68 ] House floor material [ 5 , 7 , 25 , 29 , 56 , 62 ] ...…”

Section: Resultsmentioning

confidence: 99%

“…pond, lake, swamp, stream) [ 22 , 26 , 28 , 41 , 46 , 47 , 51 , 52 , 65 , 66 , 68 ] [ 28 , 46 , 47 , 51 , 65 , 66 ] Proximity to man-made water storage and management (well, drain, piped water, brickworks) [ 4 , 22 , 46 , 47 , 49 , 57 , 62 ] [ 22 , 46 , 49 , 62 ] Proximity to forest [ 19 , 21 , 41 , 44 , 47 , 48 , 51 ] [ 19 , 21 , 41 , 47 ] Local forest density [ 7 , 29 ] [ 7 , 29 ] Proximity to agriculture (e.g. rice irrigation, tea plantation) [ 4 , 14 …”

Section: Resultsmentioning

confidence: 99%

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Defining micro-epidemiology for malaria elimination: systematic review and meta-analysis

Bannister-Tyrrell

Verdonck

Hausmann-Muela³

et al. 2017

Malar J

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BackgroundMalaria risk can vary markedly between households in the same village, or between villages, but the determinants of this “micro-epidemiological” variation in malaria risk remain poorly understood. This study aimed to identify factors that explain fine-scale variation in malaria risk across settings and improve definitions and methods for malaria micro-epidemiology.MethodsA systematic review of studies that examined risk factors for variation in malaria infection between individuals, households, clusters, hotspots, or villages in any malaria-endemic setting was conducted. Four databases were searched for studies published up until 6th October 2015. Crude and adjusted effect estimates for risk factors for malaria infection were combined in random effects meta-analyses. Bias was assessed using the Newcastle–Ottawa Quality Assessment Scale.ResultsFrom 743 retrieved records, 51 studies were selected, representing populations comprising over 160,000 individuals in 21 countries, in high- and low-endemicity settings. Sixty-five risk factors were identified and meta-analyses were conducted for 11 risk factors. Most studies focused on environmental factors, especially increasing distance from a breeding site (OR 0.89, 95% CI 0.86–0.92, 10 studies). Individual bed net use was protective (OR 0.63, 95% CI 0.52–0.77, 12 studies), but not household bed net ownership. Increasing household size (OR 1.08, 95% CI 1.01–1.15, 4 studies) and household crowding (OR 1.79, 95% CI 1.48–2.16, 4 studies) were associated with malaria infection. Health seeking behaviour, medical history and genetic traits were less frequently studied. Only six studies examined whether individual-level risk factors explained differences in malaria risk at village or hotspot level, and five studies reported different risk factors at different levels of analysis. The risk of bias varied from low to high in individual studies. Insufficient reporting and comparability of measurements limited the number of meta-analyses conducted.ConclusionsSeveral variables associated with individual-level malaria infection were identified, but there was limited evidence that these factors explain variation in malaria risk at village or hotspot level. Social, population and other factors may confound estimates of environmental risk factors, yet these variables are not included in many studies. A structured framework of malaria risk factors is proposed to improve study design and quality of evidence in future micro-epidemiological studies.Electronic supplementary materialThe online version of this article (doi:10.1186/s12936-017-1792-1) contains supplementary material, which is available to authorized users.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Defining micro-epidemiology for malaria elimination: systematic review and meta-analysis

Bannister-Tyrrell

Verdonck

Hausmann-Muela³

et al. 2017

Malar J

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“…In addition, mosquitoes' in uence on humankind or other host was restricted in limited distance buffer around its larva sites [42,43]. Thus, the y distance not only in uences mosquitoes' harassment on humankind, but also lead to a diversity density, land rate, and infection rate of mosquito [44][45][46]. Identifying the buffer distance of environmental features affecting the landing rates illustrate the advantage of 3S technology on the analysis of environmental features with mosquito biting activity.…”

Section: Spatial Distribution Of Jbe Vector and Mosquito Landing Ratementioning

confidence: 99%

Study on spatial-temporal distribution and environmental ties of Japanese B Encephalitis’s mosquito vector as well as landing rate in The Olympic forest park

Liu

Zhang

Tong

et al. 2020

Preprint

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Background: Mosquito surveillance is crucial for understanding the epidemic potential, planning early-warning, and effective control strategies. As a key public place in Beijing, the Beijing Olympic Forest Park (BOFP) makes serious epidemiological means for the Beijing, and the survey on the Japanese B Encephalitis (JBE) vector of Culex tritaeniorhynchus and mosquito landing in BOFP is crucial for the people living as well as JBE surveillance and control. It was hypothesized that the Cx. tritaeniorhynchus could be trapped in a well-urbanization area of Beijing, and the distribution of Cx. tritaeniorhynchus and mosquito landing rate are determined by the environmental factors. Methods: Thus, this investigation was performed to understand the spatial-temporal distribution of Cx. Tritaeniorhynchus and landing rate in BOFP, and the relationship between environmental features and densities of Cx. tritaeniorhynchus as well as mosquito landing rate, considering the vector competent of Cx. tritaeniorhynchus and important epidemiological means of BOFP in Beijing. From July to September, the Cx. tritaeniorhynchus was trapped with CDC-lights together with CO2 and the landing rate on the same sites as light traps were also investigated. What’s more, the ties of environmental factors to the density of Cx. tritaeniorhynchus and landing rate was performed with SPSS, after the environmental factors datasets had been extracted with the 3S procedures. Results: As result showed, the highest density of Cx. tritaeniorhynchus could be detected in September in the wetland environment, and the density was related to the grass-water in 400meters buffer (GW_400) and lower-trees in 100meter buffer distance (LT_100). For the landing rate investigation, the highest landing rates was observed in the wetland environment during September. In addition, there were two environmental features could be identified to correlate to landing rates; that is, grass-water in 400meters buffer (GW_400) and high-trees in 100meter buffer distance (HT_100). It was concluded that the Cx. tritaeniorhynchus, the vector of JBE, could be detected in BOFP (well-urbanization area), and the environmental factor could affect not only the spatial distribution of JBE vector but also the mosquito landing rates in BOFP. Conclusions: The information achieved from this study could offer advice to people escaping from mosquito biting and provide useful information to prevent mosquito-borne diseases in Beijing, which means a lot to the public health of Beijing.

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“…Sehingga proteksi diri sangat diperlukan ketika beraktivitas malam hari di luar rumah. 39,40 Sehubungan dengan hasil konfirmasi terhadap beberapa spesies Anopheles yang ditemukan positif mengandung Plasmodium, perlu dilakukan upaya surveilans secara aktif dan pengendalian vektor di daerah yang rawan terjadinya penularan malaria kembali di daerah yang telah mendapatkan sertifikat eliminasi. Kegiatan pengendalian vektor seharusnya didasarkan pada data entomologi yang tepat agar pengendalian tepat sasaran.…”

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Studi Bioekologi Vektor Malaria di Daerah (Yang Mendapat Sertifikat) Eliminasi Malaria di Kabupaten Jembrana, Bengkalis dan Bulukumba

Setiyaningsih¹

2020

bpk

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Abstract The target of malaria elimination in Indonesia is expected to be achieved in 2030. One of the activities to support malaria elimination is vector surveillance. Several districts in Indonesia have certificates of malaria, including Jembrana, Bali Province, Bulukumba, South Sulawesi Province, and Bengkalis, Riau Province. Analysis of the presence of malaria vectors and Plasmodium needs to be done for the potential occurances of malaria transmission in eliminated malaria areas. Bioecology study of malaria vectors were conducted to determine receptivity status and others risk factors and the potential for malaria transmission based on ecosystems in Jembrana, Bulukumba and Bengkalis districts. As part of national research of disease vector and reservoir (Rikhus Vektora), mosquitoes and larval field-collection methods, molecular plasmodium detection and blood meal analyses were carried out according Rikhus vektora guidelines. The result showed that Anopheles kochi and An. tesselatus were positive confirmed with Plasmodium falciparum by using PCR in Jembrana, Bali province, which were found in non-forest ecosystems near settlements and beaches near settlements. In addition, Anopheles barbirostris, Anopheles vagus, and Anopheles peditaeniatus were also positive confirmed with P. falciparum by using similar methods in Bulukumba, South Sulawesi province. An. barbirostris was found in forest ecosystems near settlement, Anopheles vagus was found in remote forest ecosystems of settlements and beaches near settlements, and Anopheles peditaenistus was found in non-forest ecosystems near settlements. While Anopheles sinensis was confirmed positive with P. falciparum in Bengkalis, Riau province. Jembrana, Bulukumba and Bengkalis districts are recognized as receptive areas and have potential for re-transmission of malaria. Vector surveillance and the implementation of approriate vector control and migration surveillance are needed to ascertain wheter the positive Anopheles with positives Plasmodium falciparum getting the parasites from imported cases or there has been a local transmission (indigenous) in these areas. This information is needed to prevent malaria re-transmission in the eliminated areas. Keywords : elimination, malaria, vector Abstrak Target eliminasi malaria di Indonesia harapannya dapat dicapai tahun 2030. Salah satu kegiatan yang dilakukan untuk menunjang elimnasi malaria adalah surveilans vektor. Beberapa Kabupaten di Indonesia telah memperoleh serfikat eliminasi malaria diantaranya Kabupaten Jembrana Propinsi Bali, Bulukumba Propinsi Sulawesi Selatan, dan Bengkalis Propinsi Riau. Analisis keberadaan vektor dan patogen malaria perlu dilakukan untuk melihat potensi terjadinya penularan malaria kembali di daerah yang telah mendapatkan sertifikat eliminasi malaria. Studi bioekologi vektor malaria dilakukan untuk mengetahui status reseptivitas dan faktor risiko lainnya, serta potensi penularan malaria berbasis ekosistem di daerah tersebut. Sebagai bagian dari dari Riset khusus (rikhus) vektora, koleksi lapangan nyamuk dan jentik, prosedur deteksi melekuler plasmodium dan analisis pakan darah dilakukan dengan menggunakan pedoman Rikhus vektora. Hasil studi menunjukkan bahwa Anopheles kochi dan Anopheles tesselatus, yang masing-masing ditemukan di eksoistem non hutan dekat pemukiman dan pantai dekat pemukiman ditemukan positif mengandung Plasmodium falciparum di Kabupaten Jembrana, Bali. Sedangkan di Kabupaten Bulukumba, Sulawesi Selatan, Anopheles barbirostris, Anopheles vagus, dan Anopheles peditaeniatus merupakan spesies Anopheles yang terkonfirmasi positif mengandung P. falciparum. An. barbirostris ditemukan di ekosistem hutan dekat pemukiman, Anopheles vagus ditemukan di ekosistem hutan jauh pemukiman dan pantai dekat pemukiman, dan Anopheles peditaenistus ditemukan di ekosistem non hutan dekat pemukiman. Sedangkan Anopheles sinensis merupakan satu-satunya spesies Anopheles yang ditemukan positif mengandung P. falciparum di Kabupaten Bengkalis, Riau. Dari hasil studi menunjukkan, Kabupaten Jembrana, Bulukumba, dan Bengkalis merupakan daerah reseptif dan berpotensi terjadinya penularan kembali malaria. Surveilans vektor dan implementasi pengendalian vektor yang tepat serta surveilans migrasi secara ketat diperlukan untuk memastikan apakah Anopheles yang positif tersebut mendapatkan parasit P. falciparum dari kasus import ataukah memang sudah terjadi transmisi secara lokal (indigenous) di wilayah tersebut. Hal ini perlu dilakukan agar tidak terjadi penularan kembali malaria di daerah yang sudah tereliminasi tersebut. Kata kunci: eliminasi, malaria, vektor

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Distance toAnopheles sundaicuslarval habitats dominant among risk factors for parasitemia in meso-endemic Southwest Sumba, Indonesia

Cited by 18 publications

References 77 publications

Defining micro-epidemiology for malaria elimination: systematic review and meta-analysis

Defining micro-epidemiology for malaria elimination: systematic review and meta-analysis

Study on spatial-temporal distribution and environmental ties of Japanese B Encephalitis’s mosquito vector as well as landing rate in The Olympic forest park

Studi Bioekologi Vektor Malaria di Daerah (Yang Mendapat Sertifikat) Eliminasi Malaria di Kabupaten Jembrana, Bengkalis dan Bulukumba

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