| Literature DB >> 29304765 |
Elibariki Reuben Mwakapeje1,2,3, Sol Høgset4, Robert Fyumagwa5, Hezron Emmanuel Nonga6, Robinson Hammerthon Mdegela6, Eystein Skjerve4.
Abstract
BACKGROUND: Anthrax outbreaks in Tanzania have been reported from the human, livestock and wildlife sectors over several years, and is among the notifiable diseases. Despite frequent anthrax outbreaks, there is no comprehensive dataset indicating the magnitude and distribution of the disease in susceptible species. This study is a retrospective review of anthrax outbreaks from the human, livestock, and wildlife surveillance systems from 2006 to 2016. The objectives were to identify hotspot districts, describe anthrax epidemiology in the hotspot areas, evaluate the efficiency of the anthrax response systems and identify potential areas for further observational studies.Entities:
Keywords: Anthrax outbreaks; Northern Tanzania; Record review; Wildlife interface areas
Mesh:
Year: 2018 PMID: 29304765 PMCID: PMC5755297 DOI: 10.1186/s12889-017-5007-z
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Spatial distribution of reported anthrax cases across various species in Tanzania Mainland, 2013 to 2016, based on the human and livestock National Surveillance Systems
| Region | Estimated populations, 2012 Census (million) | Reported Cases and (Deaths) 2013–2016 | Livestock deaths, 2013–2016 | eIDSR (Human Cases) 2013–2016 | Human (Incidence risk per 100,000 Pop) | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Human | Bovine | Caprine | Ovine | Human | Bovine | Caprine | Ovine | |||
| Dodoma | 2.08 | 1.5 | 1.0 | 0.26 | 0 (0) | 23 | 39 | 87 | 0 | 0.00 |
| Arusha | 1.7 | 1.6 | 1.9 | 0.84 | 134 (8) | 87 | 23 | 8 | 96 | 7.88 |
| Kilimanjaro | 1.64 | 0.65 | 0.69 | 0.25 | 109 (2) | 17 | 35 | 26 | 38 | 6.64 |
| Tanga | 2.05 | 0.77 | 0.82 | 0.22 | 0 (0) | 27 | 34 | 32 | x | 0.00 |
| Morogoro | 2.22 | 0.88 | 0.49 | 0.13 | 10 (0) | 23 | 34 | 54 | x | 0.45 |
| Pwani | 1.10 | 0.54 | 0.19 | 0.04 | 0 (0) | 7 | 32 | 32 | x | 0.00 |
| Dar es Salaam | 4.36 | 0.27 | 0.16 | 0.02 | 22 (6) | 9 | 0 | 5 | 6 | 0.50 |
| Lindi | 0.86 | 0.26 | 0.10 | 0.01 | 0 (0) | 7 | 8 | 9 | x | 0.00 |
| Mtwara | 1.27 | 0.17 | 0.23 | 0.02 | 14 (0) | 28 | 4 | 12 | x | 1.10 |
| Ruvuma | 1.38 | 0.47 | 0.32 | 0.03 | 0 (0) | 0 | 0 | 0 | x | 0.00 |
| Iringa | 0.94 | 0.66 | 0.20 | 0.04 | 0 (0) | 0 | 0 | 0 | x | 0.00 |
| Mbeya | 2.71 | 1.45 | 0.56 | 0.08 | 2 (0) | 16 | 2 | 0 | x | 0.07 |
| Singida | 1.37 | 1.37 | 0.83 | 0.29 | 6 (0) | 12 | 31 | 21 | 0 | 0.43 |
| Tabora | 2.29 | 2.23 | 0.95 | 0.27 | 4 (0) | 23 | 12 | 5 | x | 0.17 |
| Rukwa | 1.00 | 0.64 | 0.23 | 0.04 | 0 (0) | 9 | 2 | 0 | x | 0.00 |
| Kigoma | 2.13 | 0.51 | 0.26 | 0.05 | 2 (0) | 1 | 5 | 1 | x | 0.09 |
| Shinyanga | 1.53 | 1.30 | 0.62 | 0.20 | 0 (0) | 21 | 13 | 4 | x | 0.00 |
| Kagera | 2.46 | 0.85 | 0.73 | 0.08 | 0 (0) | 12 | 2 | 0 | 0 | 0.00 |
| Mwanza | 2.77 | 1.33 | 0.57 | 0.13 | 12 (0) | 27 | 19 | 4 | 0 | 0.43 |
| Mara | 1.74 | 1.65 | 0.76 | 0.34 | 22 (8) | 12 | 3 | 0 | 2 | 1.26 |
| Manyara | 1.43 | 1.81 | 1.54 | 0.58 | 8 (0) | 26 | 13 | 4 | 1 | 0.55 |
| Njombe | 0.70 | 0.27 | 0.11 | 0.02 | 0 (0) | 0 | 0 | 0 | x | 0.00 |
| Katavi | 0.56 | 0.36 | 0.18 | 0.03 | 0 (0) | 12 | 3 | 0 | x | 0.00 |
| Simiyu | 1.58 | 1.60 | 0.93 | 0.39 | 0 (0) | 2 | 0 | 0 | x | 0.00 |
| Geita | 1.74 | 0.82 | 0.43 | 0.05 | 0 (0) | 0 | 0 | 0 | 0 | 0.00 |
| Total | 43.63 | 23.97 | 14.91 | 4.39 | 345 (24) | 401 | 314 | 304 | 142 | |
Reported cases through the electronic system (eIDSR) and the reported human’s anthrax Incidence risk over the period of 2013–16 is also given
Distribution of human anthrax cases in study hotspot districts, Arusha and Kilimanjaro regions from 2006 to 2016
| Regions | Districts | Number of Cases (% of Cases) |
|---|---|---|
| Arusha | Ngorongoro | 115 (80) |
| Meru | 7 (5) | |
| Monduli | 21 (15) | |
| Total | 143 | |
| Kilimanjaro | Moshi rural | 71 (38) |
| Hai | 77 (41) | |
| Rombo | 17 (9) | |
| Siha | 22 (12) | |
| Total | 187 |
Fig. 1Map indicating the magnitude of human anthrax cases in the hotspot districts of Arusha and Kilimanjaro regions for the period of 2015 - October 2016
Fig. 2Distribution of clinical forms of human anthrax cases per health facility in hotspot districts of Northern Tanzania, 2006 to 2016
Fig. 3The trend of human anthrax cases from the hotspot districts of Arusha and Kilimanjaro regions, 2006 to 2016
Summary of livestock species tested for B. anthracis at TVLA – Arusha, 2006 to 2016
| Species Screened | Samples tested | % Samples testing positive | |
|---|---|---|---|
| Bovine | 106 | 68 | 66. |
| Caprine | 23 | 18 | 17 |
| Ovine | 8 | 7 | 7 |
| Swine | 5 | 3 | 3 |
| Wildlife trophiesa | 19 | 7 | 7 |
| Total | 161 | 103 |
aWildlife trophies: for the purpose of this review, means a group of unique wild animals whose parts of their body like horns, skin and skull are used for decorations like Waterbuck and Topi.
Summary of wildlife species tested for B. anthracis at TAWIRI Serengeti laboratory in Serengeti National Park, 2006 to 2016
| Species Screened | Samples tested | % of Samples testing positive | |
|---|---|---|---|
| African Buffalo | 28 | 12 | 67 |
| Elephant | 2 | 2 | 11 |
| Wildebeest | 5 | 0 | 0.0 |
| Black Rhino | 1 | 1 | 6 |
| Hippo | 1 | 0 | 0.0 |
| Giraffe | 1 | 1 | 6 |
| Horse | 2 | 0 | 0.0 |
| Zebra | 11 | 1 | 6 |
| Lion | 1 | 0 | 0.0 |
| Wildlife Trophies | 5 | 1 | 6 |
| Total | 57 | 18 |
aUsing a microscopy test: Positive B. anthracis was obtained by staining a dry fixed blood smear with polychrome methylene blue. A typical morphology of the bacilli was observed to be gram positive, thick, long with square or truncated and swollen ends with characteristic ‘bamboo stick’ appearance
Fig. 4Monthly distribution of anthrax cases from all 3 health sectors (human, livestock and wildlife) in selected regions of Northern Tanzania, 2006–2016