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Vector Hazard Report: Middle East Part 2: Sand Flies, Ticks and Host Densities Information gathered from products of The Walter Reed Biosystematics Unit (WRBU) Catalog of Subfamily Phlebotominae All material in this brief is provided for your information only and may not be construed as medical advice or instruction. No action or inaction should be taken based solely on the contents of this information; instead, readers should consult appropriate health professionals on any matter relating to their health and well-being. VectorMap

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Page 1: Information gathered from products of The Walter …vectormap.si.edu/downloads/VHazardReports/VHR Middle East...Vector Hazard Report: Middle East Part 2: Sand Flies, Ticks and Host

Vector Hazard Report: Middle East Part 2: Sand Flies, Ticks and Host Densities

Information gathered from products of The Walter Reed

Biosystematics Unit (WRBU)

Catalog of Subfamily Phlebotominae

All material in this brief is provided for your information only and may not be construed

as medical advice or instruction. No action or inaction should be taken based solely on

the contents of this information; instead, readers should consult appropriate health

professionals on any matter relating to their health and well-being.

VectorMap

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Table of Contents 1: Sand Fly-borne Diseases

Cutaneous Leishmaniasis background

Estimates of CL incidence

Cutaneous (tropica) Leishmaniasis Endemic Areas

Cutaneous (major) Leishmaniasis Endemic Areas, WHO 2012

Visceral Leishmaniasis Background

Estimates of VL Incidence

Visceral Leishmaniasis Endemic Areas

Sand Fly Vector Habitat Suitability Models

Phlebotomus papatasi

Phlebotomus sergenti

Phlebotomus alexandri

Notes on Medically Important Sand Flies

Phlebotomus papatasi

Phlebotomus sergenti

Phlebotomus alexandri

2: Tick-borne Diseases Crimean-Congo Hemorrhagic Fever

Relapsing Fever Borrelia

Tick Vector Habitat Suitability Models

Rhipicephalus annulatus

Amblyomma reflexus

Rhipicephalus microplus

Ornithodoros foleyi

3: Host Densities Human population density

Domestic animal population density

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Sand Fly-borne Diseases 1: Sand Fly-borne Diseases

Cutaneous Leishmaniasis background

Estimates of CL incidence

Cutaneous (tropica) Leishmaniasis Endemic Areas

Cutaneous (major) Leishmaniasis Endemic Areas, WHO 2012

Visceral Leishmaniasis Background

Estimates of VL Incidence

Visceral Leishmaniasis Endemic Areas

Sand Fly Vector Habitat Suitability Models

Phlebotomus papatasi

Phlebotomus sergenti

Phlebotomus alexandri

Notes on Medically Important Sand Flies

Phlebotomus papatasi

Phlebotomus sergenti

Phlebotomus alexandri

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Cutaneous Leishmaniasis

Cutaneous Leishmaniasis (CL) is caused by an

infection of protozoan parasites of the genus

Leishmania. In the Middle East, the parasites are

spread by the bite of sand flies of the genus

Phlebotomus. (Dostalova and Volf, 2012)

CL can cause skin sores which range in size and

appearance. Sores can develop into skin ulcers and

can also cause swollen glands near the sores. The

CDC estimates that world-wide there are

approximately 0.7 to 1.2 million cases of cutaneous

leishmaniasis annually. (CDC, 2014)

The World Health Organization estimates that

approximately 95% of CL cases occur in the

Americas, the Mediterranean basin, and the Middle

East and Central Asia. (WHO, 2014)

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Cutaneous leishmaniasis in Tallil, Iraq

-AFPMB

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Estimates of Cutaneous Leishmaniasis

Incidence -Alvar, J. et al. 2012

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Cutaneous (tropica) leishmaniasis endemic

areas, WHO 2012

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Cutaneous (major) leishmaniasis endemic

areas, WHO 2012

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Visceral Leishmaniasis

Visceral Leishmaniasis (VL) is also caused by an infection of protozoan

parasites of the genus Leishmania. In the middle East, the parasites are spread

by the bite of sand flies of the genus Phlebotomus. (Dostalova and Volf, 2012)

Unlike CL, Visceral leishmaniasis (VL) affects internal organs and many infected

people may not show symptoms at all. According to the CDC, clinical evidence

of visceral leishmaniasis includes swollen spleen and liver along with fever and

weight loss. The CDC estimates that world-wide there are approximately 0.2 to

0.4 million cases of visceral leishmaniasis annually. (CDC, 2014)

The World Health Organization estimates that approximately 90% of new cases

occur in six countries: Bangladesh, Brazil, Ethiopia, India, South Sudan, and

Sudan. (WHO, 2014)

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Estimates of Visceral Leishmaniasis

Incidence, 2012 -Alvar, J. et al. 2012

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Visceral Leishmaniasis Endemic Areas,

WHO 2010

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Habitat suitability models:

Sand Fly Vectors

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Habitat suitability model:

Phlebotomus papatasi

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Habitat suitability model:

Phlebotomus sergenti

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Habitat suitability model:

Phlebotomus alexandri

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Medically Important Sand Flies

Phlebotomus papatasi Often domestic, anthropophilic and abundant in (small)

rodent burrows; proven vector of L. major to man and

gerbils in U.S.S.R., Saudi Arabia, southern Morocco and

central Tunisia (Killick-Kendrick, 1990; Killlck-Kendrick et

al., 1985; Lane & Fritz, 1986; Perffi'ev, 1966); suspected

vector of L. arablea in Saudi Arabia (Killick-Kendrick, 1990).

Of several Phlebovirus serotypes isolated from P. papatasi

(in north Africa, southern Europe, Iran and central Asia),

Naples and Sicilian were found infecting man only where

this sandfly occurs (Tesh, 1988; Tesh et al., 1976).

WRBU Species Page

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Medically Important Sand Flies

Phlebotomus sergenti

Extends further north than P. papatasi; considered a vector

of L. tropica in Afghanistan, Crete, Iran, Iraq and India on

the basis of distribution and ecology (Adler & Theodor,

1957; Lewis & Ward, 1987); susceptible to L. major and L.

tropica and believed to transmit the latter in U.S.S.R.

(Saf'janova, 1979)

WRBU Species Page

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Medically Important Sand Flies

Phlebotomus alexandri

Proven vector of VL (L. donovani) in China (Killick-

Kendrick, 1990; Lengo 1988); anthropophilic, montane

species in Afghanistan (Artemiev, 1978a); suspected vector

of CL (L. major) in Iran (Javadian et al., 1977), Mongolia

and Turkmenistan (Dedet, 1979; Killick-Kendrick, 1990);

and suspected vector of L. tropica killicki in Tunisia

(Croset etal., 1978; Killick-Kendrick, 1990).

WRBU Species Page

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Tick-borne Diseases

1. Crimean-Congo Hemorrhagic Fever

2. Relapsing Fever Borrelia

3. Tick Vector Habitat Suitability Models Rhipicephalus annulatus

Amblyomma reflexus

Rhipicephalus microplus

Ornithodoros foleyi

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Iraq National Survey System, Crimean-Congo Hemorrhagic Fever,

suspected and tested cases 2010

Crimean-Congo hemorrhagic fever (CCHF) is a tick-borne

disease caused by the virus Nairovirus in the family

Bunyaviridae. Symptoms of CCHF include headache, fever,

generalized pain, and vomiting. Symptoms can also include red

eyes, a flushed face, a red throat, and petechiae. Severe

bruising and bleeding can also occur. According to the CDC

mortality rates for CCHF infection can range from 9% to 50%

(CDC, 2014).

CCHF is spread by the bite of ticks in the family Ixodid and many

wild and domestic animals can serve as a reservoir for the virus.

The virus can also be spread from person to person through

contact with blood and other bodily fluids (CDC, 2014).

According to the World Health Organization (WHO) CCHF is

endemic in all of Africa, the Balkans, the Middle East and in

South Asia (WHO, 2014).

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Tick-Borne Relapsing Fever Incidence

Tick-borne relapsing fever (TBRF) is caused by a bacterial

infection of certain species of the genus Borrelia. Infection is

characterized by episodes of fever followed by an interval of

no fever followed by a return of the fever. This cycle can

occur 1 to 4 times and can also include generalized pain,

nausea, vomiting, anorexia, dry cough, light sensitivity, rash,

neck pain, eye pain, confusion, and dizziness (CDC, 2014).

TBRF is spread by the bite of infected ticks of the genus

Ornithodoros. According to the CDC, humans most commonly

come into contact with these ticks when sleeping in rodent

infested structures (CDC, 2014).

TBRF has been reported from the Middle East, Africa, Europe

and North America. TBRF is endemic in the north-west of the

Islamic Republic of Iran (Mahram and Ghavami 2009).

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Habitat suitability model:

Rhipicephalus annulatus

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Habitat suitability model:

Amblyomma reflexus

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Habitat suitability model:

Rhipicephalus microplus

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Habitat suitability model:

Ornithodoros foleyi

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Host Densities

Contents:

1. Human population density

2. Domestic animal population density

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Human Density People per sq. mile, LandScan 2011

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Host Densities, Food and Agriculture Organization of the United Nations, 2005

Cows per sq. km Sheep per sq. km

Goats per sq. km Poultry per sq. km

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References Sand Flies Maxent model for P. sergenti habitat suitability. GlobalUniqueIdentifier: USNM:SandflyModel:P_sergenti_Dornak_1

Maxent model for P. papatasi habitat suitability. GlobalUniqueIdentifier: USNM:SandflyModel:P_papatasi_Dornak_1

Maxent model for P. alexandri habitat suitability. GlobalUniqueIdentifier: USNM:SandflyModel:P_alexandri_Dornak_1

• Alvar, J. et al. 2012. Leishmaniasis Worldwide and Global Estimates of its Incidence. PLoS ONE 7(5): e35671.

• Leishmaniasis Endemic Areas. Data source & Map production: WHO/NTD/IDM HIV/AIDS, Tuberculosis and Malaria

(HTM) World Health Organization.

• Leishmaniasis Incidence. Data source & Map production: WHO/NTD/IDM HIV/AIDS, Tuberculosis and Malaria (HTM)

World Health Organization, October 2010.

• Dostalova, Anna and Petr Volf. 2012. Leishmania development in sand flies: parasite-vector interactions overview.

Parasites & Vectors 2012, 5:276.

• Mahram, M. and Ghavami, M.B. 2009. Congenital tick-borne relapsing fever: report of a case with transplacental

transmission in the Islamic Republic of Iran. Eastern Mediterranean Health Journal, Vol. 15, No. 3, 2009.

Ticks Maxent model for Rhipicephalus annulatas habitat suitability. L. Dornak. GlobalUniqueIdentifier:

USNM:TickModel:R_annulatus_Dornak_1

Maxent model for Amblyomma reflexus habitat suitability. L. Dornak. GlobalUniqueIdentifier:

USNM:TickModel:A_reflexus_Dornak_1

Maxent model for Rhipicephalus microplus habitat suitability. L. Dornak. GlobalUniqueIdentifier:

USNM:TickModel:R_microplus_Dornak_2

Maxent model for Ornithodoros foleyi habitat suitability. L. Dornak. GlobalUniqueIdentifier:

USNM:TickModel:O_foleyi_Dornak_1

CCHF suspected plus tested cases by province, National Surveillance System, Iraq 2010. Majeed B. et al. 2012.

Transactions of the Royal Society of Tropical Medicine and Hygiene. 106:480-483.

Elbir H. et al. 2013. Review Article: Relapsing Fever Borrelia in Africa. American Journal of Tropical Medicine and

Hygiene. 89(2): 288-292.

Sand Fly and Tick Photos Courtesy of the AFPMB, Judith Stoffer (Waler Reed Biosystematics Unit) and

Westbrook, Catherine. Identifying Southwest Asian Sand Flies: With Emphasis on Common Iraqi Phlebotomus

Species.

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References con’t

Host Densities: • People/1 Sq Km. This Product Was Made Utilizing The Landscan (2011)™ High Resolution Global Population Data Set

Copyrighted By UT-Battelle, LLC, Operator Of Oak Ridge National Laboratory Under Contract No. DE-AC05-00OR22725 With

The United States Department Of Energy. The United States Government Has Certain Rights In This Data Set. Neither Ut-

Battelle, Llc Nor The United States Department Of Energy, Nor Any Of Their Employees, Makes Any Warranty, Express Or

Implied, Or Assumes Any Legal Liability Or Responsibility For The Accuracy, Completeness, Or Usefulness Of The Data Set.

Available At Http://Www.Ornl.Gov/Sci/Landscan/

• Global Cattle density (2005): The Gridded Livestock of the World FAO (2007). This dataset forms part of a global livestock

mapping project by the Food and Agriculture Organization's Animal Production and Health Division (FAO-AGA). Predicted global

cattle density (2005), corrected for unsuitability, adjusted to match FAOSTAT totals for the year 2005. Number per square km,

spatial resolution of 3 arc minutes (approx. 5km).These data are freely available through the GLW website, through an interactive

web application known as the Global Livestock Production and Health Atlas (GLiPHA), and through the FAO GeoNetwork data

repository (see http://www.fao.org/AG/AGAInfo/resources/en/glw/GLW_dens.html)

• Global Sheep density (2005): The Gridded Livestock of the World FAO (2007). This dataset forms part of a global livestock

mapping project by the Food and Agriculture Organization's Animal Production and Health Division (FAO-AGA). Predicted global

sheep density (2005), corrected for unsuitability, adjusted to match FAOSTAT totals for the year 2005. Number per square km,

spatial resolution of 3 arc minutes (approx. 5km).These data are freely available through the GLW website, through an interactive

web application known as the Global Livestock Production and Health Atlas (GLiPHA), and through the FAO GeoNetwork data

repository (see http://www.fao.org/AG/AGAInfo/resources/en/glw/GLW_dens.html)

• Global Poultry density (2005): The Gridded Livestock of the World FAO (2007). This dataset forms part of a global livestock

mapping project by the Food and Agriculture Organization's Animal Production and Health Division (FAO-AGA). Predicted global

poultry density (2005), corrected for unsuitability, adjusted to match FAOSTAT totals for the year 2005. Number per square km,

spatial resolution of 3 arc minutes (approx. 5km).These data are freely available through the GLW website, through an interactive

web application known as the Global Livestock Production and Health Atlas (GLiPHA), and through the FAO GeoNetwork data

repository (see http://www.fao.org/AG/AGAInfo/resources/en/glw/GLW_dens.html)

• Global Goat density (2005): The Gridded Livestock of the World FAO (2007). This dataset forms part of a global livestock

mapping project by the Food and Agriculture Organization's Animal Production and Health Division (FAO-AGA). Predicted global

goat density (2005), corrected for unsuitability, adjusted to match FAOSTAT totals for the year 2005. Number per square km,

spatial resolution of 3 arc minutes (approx. 5km).These data are freely available through the GLW website, through an interactive

web application known as the Global Livestock Production and Health Atlas (GLiPHA), and through the FAO GeoNetwork data

repository (see http://www.fao.org/AG/AGAInfo/resources/en/glw/GLW_dens.html)

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The Walter Reed Biosystematics Unit is part of the

Walter Reed Army Institute of Research and is

based at the Smithsonian Institution Museum

Support Center. To access taxonomic keys, the

Systematic Catalog of Culicidae or to learn more

about WRBU visit www.wrbu.org.

VectorMap is only as good as the

data you provide. If you have

collection records, models or

pathogen testing results please

contact the VectorMap team to

learn how to contribute data at

[email protected].

Vector Photos Courtesy of Judith Stoffer,

Walter Reed Biosystematics Unit, Graham Snodgrass U.S. Army

Public Health Command, Westbrook, Catherine. Identifying

Southwest Asian Sand Flies: With Emphasis on Common Iraqi

Phlebotomus Species. and the AFPMB.

The published material reflects the views of the

authors and should not be construed to represent

those of the Department of the Army or the

Department of Defense.

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