| Literature DB >> 28207792 |
Alaine Kathryn Knipes1, Jean Frantz Lemoine2, Franck Monestime3, Carl R Fayette3, Abdel N Direny3, Luccene Desir4,5, Valery E Beau de Rochars6,7, Thomas G Streit4,5, Kristen Renneker8, Brian K Chu8, Michelle A Chang1, Kimberly E Mace1, Kimberly Y Won1, Patrick J Lammie1,8.
Abstract
BACKGROUND: Since 2001, Haiti's National Program for the Elimination of Lymphatic Filariasis (NPELF) has worked to reduce the transmission of lymphatic filariasis (LF) through annual mass drug administration (MDA) with diethylcarbamazine and albendazole. The NPELF reached full national coverage with MDA for LF in 2012, and by 2014, a total of 14 evaluation units (48 communes) had met WHO eligibility criteria to conduct LF transmission assessment surveys (TAS) to determine whether prevalence had been reduced to below a threshold, such that transmission is assumed to be no longer sustainable. Haiti is also endemic for malaria and many communities suffer a high burden of soil transmitted helminths (STH). Heeding the call from WHO for integration of neglected tropical diseases (NTD) activities, Haiti's NPELF worked with the national malaria control program (NMCP) and with partners to develop an integrated TAS (LF-STH-malaria) to include assessments for malaria and STH. METHODOLOGY/PRINCIPLEEntities:
Mesh:
Substances:
Year: 2017 PMID: 28207792 PMCID: PMC5332101 DOI: 10.1371/journal.pntd.0005387
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Evaluation Units.
| EU # | TAS type | Department | Number of communes in Department | Number of Communes per EU | Baseline LF antigen Prevalence (2001) |
| 1 | LF | Sud Est | 10 | 10 | 0–4.9% |
| 2 | LF + malaria + STH | Nippes | 11 | 10 | 0–4.9% |
| 3 | LF + malaria | Centre | 12 | 1 | 0–4.9% |
| 4 | LF + malaria | Nord Est | 13 | 2 | 5–9.9% |
| 5 | LF + malaria | Nord Est | 13 | 1 | 10–45% |
| 6 | LF + malaria | Nord Est | 13 | 9 | 0–4.9% |
| 7 | LF + malaria | Nord Ouest | 10 | 1 | 7.0% |
| 8 | LF + malaria | Nord Ouest | 10 | 7 | 2.9% |
| 9 | LF + malaria | Nord | 19 | 1 | 14.0% |
| 10 | LF + malaria | Nord | 19 | 1 | 30.0% |
| 11 | LF + malaria | Nord | 19 | 1 | 37.4% |
| 12 | LF + malaria | Nord | 19 | 1 | 45.0% |
| 13 | LF + malaria | Nord | 19 | 1 | 28.0% |
| 14 | LF + malaria | Nord | 19 | 1 | 19.0% |
A = Anse à Veau, Arnaud, Asile, Fonds des Nègres, Grand Boucan, Miragoâne, Paillant, Petit Trou des Nippes, Petite Rivière des Nippes, Plaisance du Sud
B = Saut d’Eau
C = Saint Suzanne, Trou du Nord, Terrier Rouge
D = Caracol
E = Carice, Capotille, Ferrier, Fort Liberté, Ounaminthe, Mombin Crouchu, Mont Organise, Perches, Vallieres
F = Chansolme
G = Jean Rabel, Bombardopolis, Baie-de-Henne, Mole Saint Nicolas, Saint Louis du Nord, Bassin Bleu, Anse à Foleur
H = Dondon
I = Plaisance
J = Limonade
K = Plaine du Nord
L = Cap Haitien
M = Limbe
Fig 1Integrated Transmission Assessment Surveys.
Haiti 2014–2015.
Transmission Assessment Survey Design by Evaluation Unit.
| EU number # | TAS- type | Number of Schools in EU | Number of Targeted Schools | Estimated number of Children Aged 6 & 7 Years in the EU | Target Sample Size | Critical Cutoff of LF positives | Survey Design | Sampling by Age or Grade | Assumed Absentee Rate |
|---|---|---|---|---|---|---|---|---|---|
| C = Cluster; S = Systematic (Sampling Fraction, Interval) | |||||||||
| 1 | TAS | 721 | 36 | 35,357 | 1,556 | 18 | C (1.0, 1.0) | Grade | 10% |
| 2 | TAS-STH-malaria | 367 | 43 | 14,813 | 1,548 | 18 | C (1.0, 1.0) | Grade | 10% |
| 3 | TAS-malaria | 67 | 38 | 2,442 | 1,228 | 14 | C (1.0, 1.0) | Age | 10% |
| 4 | TAS-malaria | 120 | 30 | 6,821 | 1,524 | 18 | C (1.0, 1.0) | Age | 10% |
| 5 | TAS-malaria | 17 | 17 | 707 | 365 | 4 | S (0.57, 1.74) | Age | 10% |
| 6 | TAS-malaria | 333 | 31 | 18,977 | 1,552 | 18 | C (1.0, 1.0) | Age | 10% |
| 7 | TAS-malaria | 25 | 25 | 1,597 | 530 | 6 | S (0.39, 2.56) | Age | 15% |
| 8 | TAS-malaria | 441 | 39 | 20,883 | 1,552 | 18 | C (1.0, 1.0) | Age | 15% |
| 9 | TAS-malaria | 26 | 29 | 754 | 365 | 4 | S (0.57, 1.76) | Age | 15% |
| 10 | TAS-malaria | 34 | 34 | 1,679 | 594 | 7 | S (0.42, 2.4) | Age | 15% |
| 11 | TAS-malaria | 42 | 42 | 1,336 | 780 | 9 | C (0.96, 1.04) | Age | 15% |
| 12 | TAS-malaria | 48 | 31 | 1,634 | 891 | 11 | C (1.0, 1.0) | Age | 15% |
| 13 | TAS-malaria | 199 | 39 | 9,299 | 1,532 | 18 | C (1.0, 1.0) | Age | 15% |
| 14 | TAS-malaria | 74 | 30 | 4,038 | 1,380 | 16 | C (1.0, 1.0) | Age | 15% |
Results: Transmission Assessment Survey.
| EU # | # Schools Visited | Total Tested by ICT | % Female | % 6 Years | % 7 Years | # Positive ICT | # Negative ICT | # Positive RDT Malaria | # Negative RDT Malaria | TAS Pass/Fail |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 36 | 1,494 | 46.3% | 19.0% | 21.8% | 0 | 1,494 | - | - | PASS |
| 2 | 45 | 1,662 | 44.7% | 25.8% | 22.3% | 3 | 1,659 | 0 | 1,667 | PASS |
| 3 | 53 | 1,233 | 52.8% | 38.8% | 61.2% | 2 | 1,231 | 7 | 1,191 | PASS |
| 4 | 45 | 1,528 | 50.0% | 52.3% | 47.7% | 0 | 1,528 | 1 | 1,531 | PASS |
| 5 | 16 | 365 | 50.6% | 56.0% | 43.7% | 1 | 364 | 0 | 365 | PASS |
| 6 | 42 | 1,619 | 48.8% | 46.3% | 53.7% | 2 | 1,617 | 1 | 1,628 | PASS |
| 7 | 25 | 551 | 50.7% | 45.1% | 54.0% | 0 | 551 | 0 | 545 | PASS |
| 8 | 47 | 1,589 | 55.9% | 37.2% | 62.8% | 2 | 1,587 | 1 | 1,569 | PASS |
| 9 | 24 | 587 | 53.7% | 47.0% | 53.0% | 0 | 587 | 0 | 585 | PASS |
| 10 | 30 | 672 | 50.7% | 47.5% | 52.5% | 0 | 672 | 1 | 671 | PASS |
| 11 | 31 | 877 | 51.6% | 41.2% | 58.7% | 19 | 858 | 1 | 856 | FAIL |
| 12 | 37 | 1,052 | 48.5% | 38.0% | 62.0% | 15 | 1,037 | 0 | 1,073 | FAIL |
| 13 | 32 | 2,002 | 39.0% | 33.8% | 66.2% | 18 | 1,984 | 1 | 2,004 | MARGINAL |
| 14 | 33 | 1,424 | 53.5% | 43.0% | 56.9% | 10 | 1,414 | 0 | 1,417 | PASS |