WCRP VAMOS/CORDEX Workshop on Latin-America and Caribbean CORDEX LAC: Phase I - South America

WCRP VAMOS/CORDEX Workshop on Latin-America and Caribbean CORDEX LAC: Phase I - South America

Lima, September 11-13, 2013 Lima, September 11-13, 2013

Vector-borne diseases and their Vector-borne diseases and their Vector-borne diseases and their relationship with the

climate in the region of Huanuco

Vector-borne diseases and their relationship with the

climate in the region of Huanuco climate in the region of Huanuco, Peru

climate in the region of Huanuco, Peru

Juan C. HuamaniJuan C. Huamani Adela CelisAdela CelisNational Service of Met. and Hydrology

SENAMHI – HuanucoNational Service of Met. and Hydrology

SENAMHI – Huanuco

Adela CelisRegional Direction of Health,

DIRESA – Huanuco

Adela CelisRegional Direction of Health,

DIRESA – Huanuco

OutlineOutlineOutlineOutline

(1) Introduction(2) Concepts(3) General information(3) General information(4) Results(5) Pending tasks

IntroductionIntroduction

According to Ministry of Health of Peru, vector-borne diseases in the last decades is the main health problems affecting thein the last decades is the main health problems affecting the poorest populations of less access and are ranked among the reemerging, affecting large proportions of the population, with g g, g g p p p p ,great impact on public health national.

Malaria, Dengue, Bartonellosis, Leishmaniasis and Trypanosomiasis are the 05 health problems addressed from the NHS on the prevention and control of vector-bornethe NHS on the prevention and control of vector borne diseases, whose increased transmission and increased risk factors, has become a priority its approach.

ConceptsConceptsEPIDEMIOLOGICAL CALENDARThe calendar includes 52 epidemiological weeks that divide the 365 da s a ear Its se d ring s r eillance acti ities isthe 365 days a year. Its use during surveillance activities is important because the time variable standardization allows comparison of epidemiological events.p p g

Epidemiological weekDay period between Sunday and the following Saturday.

Epidemiological periodIt is the set of time comprised four epidemiological weeks.

VECTORA host that carries a pathogen without injury to itself andA host that carries a pathogen without injury to itself and spreads the pathogen to susceptible organisms.

Huanuco Region

Huanuco region has a population of 847.714 inhabitants,2.2% of the population are less than 1 year. The averagepopulation density is 22.4 inhab./Km2, with a variation inPuerto Inca 3 hab/Km2 to 66.3 inhab./Km2 in Huanucodistrictdistrict.

Altitude: Queropalca 3832 masl

Yuyapichis 250 msnm

Hydrometeorological Network StationsRegion of Huanuco

Hydrometeorological Network StationsRegion of Huanuco

Health Network of Huanuco RegionR.E.R.746-2011-GRH/PR

Health Network of Huanuco RegionR.E.R.746-2011-GRH/PR

LA LIBERTADSAN MARTIN N

EW

UCAYALI

S

Marañón

ANCASHLeoncio Prado

Huacaybamba

Huamalies

Province NetworkPuerto Inca

Huánuco

Dos de Mayo

Yarowilca

Pachitea

AmboLauricocha

LIMA

PASCOa

Source: Dirección Ejecutiva de Epidemiologia.

Geographic distribution of Vectors Huanuco Region - 2013

Geographic distribution of Vectors Huanuco Region - 2013

LA LIBERTADLA LIBERTADSAN MARTINSAN MARTIN

LEGEND1. Aedes aegypti2. Ae. cuadrivittatus3 A d

MARAÑONUCAYALIUCAYALIN

3. Aedes spp.4. An. benarrochi5. An. Duhami6. An. mattogrossensis7. An. evansae8. An. oswaldoi

1,3,5,10,12,14,15,27 al 36

LEONCIO PRADO

HUACAYBAMBAEW

S

9. An. rangeli10. An. Pseudopunctipennis11. An. mediopunctatus12. Anopheles spp.13. Lu. tejadai14 Lu verrucarum

1 al 3,5 al 10, 27 al 3510,13 al 15, 34

PUERTO INCA

HUAMALIESANCASHANCASH 14. Lu. verrucarum

15. Lu. fisheri16. Lu. peruensis17. Lu. serrana18. Lu. odax19. Lu. nevesi1,2,3,5 al 11, 10,27 al 35

1,3,4,5,7 al 10,12,13 al 36

HUANUCO

DOS DE MAYO

YAROWILCA

20. Lu. sinuosa21. Lu. sherlocki22. Lu. monzonensis23. Lu. gonzaloi24. Lu. tuberculata25. Lu. octavioi

1,3,10,12 al 17,27 al 3514 al 16, 34

AMBO

PACHITEA

LAURICOCHA

26. Lu. sallesi27. Lutzomyia spp.28. Sabethes belisarioi29. Haemagogus jantinomis30. Culex coronator31 Cu corniger

1,3,5,10,12,13,27, 28 al 31,34

10, 13 , 14

LIMALIMAPASCOPASCO

31. Cu. corniger32. Cu. Fatigans33. Psorophora ferox34. Psorophora spp.35. Limatus spp.36. Panstrongilus chinaeLaboratorio de Entomología de la Red de Salud Leoncio Prado.

Economical activities Economical activities

Incidencia de pobreza extrema Región Huánuco -2010

Incidencia de pobreza extrema Región Huánuco -2010

Fuente: INEI - 2011

% De Población Emigrante a la Región Huánuco – 2002-2007

% De Población Emigrante a la Región Huánuco – 2002-2007

% De Población Inmigrante a la Región Huánuco – 2002-2007

% De Población Inmigrante a la Región Huánuco – 2002-2007

Distribución de casos de dengue por (grupo de edad, sexo) DIRESA Huánuco 2013 (SE 01 30)

Distribución de casos de dengue por (grupo de edad, sexo) DIRESA Huánuco 2013 (SE 01 30)Huánuco 2013 (SE.01-30).Huánuco 2013 (SE.01-30).

Subsistema de Vigilancia Epidemiológica de Enfermedades Metaxenicas y OTVs-DIRESASubs s e a de g a c a p de o óg ca de e edades e a e cas y O s S

SAN MARTIN

Tasa de Incidencia de Dengue x 10,000 Hab, según Distritos . Tasa de Incidencia de Dengue x 10,000 Hab, según Distritos . DIRESA Huánuco DIRESA Huánuco --2013 (SE 01 2013 (SE 01 -- 30)30)

N

LA LIBERTADUCAYALI

SAN MARTIN N

EW

JOSÉ CRESPO YS

JOSÉ CRESPO Y CASTILLO

07 casos confirmado01 caso probable

TIA X 10000 Hab. 2.1

LUYANDO

RUPA RUPA22 casos confirmados

03 casos probables

LUYANDO01 caso confirmado

01 caso probableTIA X 10000 Hab. 2.1

ANCASHTIA X 10000Hab. 4.0

MONZÓN05 casos confirmados

04 casos probablesTIA X 10000Hab 3 4

PUERTO INCATIA X 10000Hab. 3.4

MARIANO DAMASO BERAUN

02 casos confirmados01 caso probable

TIA X 10000Hab. 3.1

06 casos confirmados01 caso probable

TIA X 10000Hab. 8.6

Dengue sin señales de Alarma

Leyenda

Dengue con señales de AlarmaDANIEL ALOMIA

ROBLES02 casos confirmados

01 caso probable

LIMA PASCO

Dengue sin señales de AlarmaDengue sin señales de AlarmaDengue con señales de Alarma

01 caso probableTIA X 10000Hab. 4.0

Estratificación epidemiológica de Dengue-DIRESA Huánuco – 2013(SE 01-30)DIRESA Huánuco – 2013(SE.01-30)

Alto riesgo (7)

(Mediano riesgo (6)

Bajo riesgo (2)

Sin riesgoSin riesgo

Comparison of Dengue cases with pp and Temp.

45.00

50.00

Dengue Cases in Huanuco RegionPeriod: 2000 ‐ 2013

20.00

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"Normal" Dengue Cases

45.0025.00

Station Tingo Maria. Weekly Values of Temperatures and PrecipitationPeriod: 2000 ‐ 2013

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TN TN_NOR PP PP_NOR

Comparison of Dengue cases with pp and Temp.

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Dengue Cases in Huanuco RegionPeriod: 2000 ‐ 2013

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"Normal" Dengue Cases

Station Puerto Inca. Weekly Values of Temperatures and PrecipitationPeriod: 2000 ‐ 2013

30.00

35.00

40.00

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50.00

15.00

20.00

25.00

5 00

10.00

15.00

20.00

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0.00

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0.00

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TN TN_NOR PP PP_NOR

Tasa de Incidencia de Tasa de Incidencia de LeishmaniasisLeishmaniasis x 10,000 Hab, según x 10,000 Hab, según Distritos . DIRESA Huánuco Distritos . DIRESA Huánuco --2013 (SE 01 2013 (SE 01 -- 30)30)

Tasa de Incidencia de Tasa de Incidencia de LeishmaniasisLeishmaniasis x 10,000 Hab, según x 10,000 Hab, según Distritos . DIRESA Huánuco Distritos . DIRESA Huánuco --2013 (SE 01 2013 (SE 01 -- 30)30)

Subsistema de Vigilancia Epidemiológica de Enfermedades Metaxenicas y OTVs-DIRESA

Casos de Malaria P.vivax por Provincias y distritos Según años 1999-2013 ( SE.01-30

Casos de Malaria P.vivax por Provincias y distritos Según años 1999-2013 ( SE.01-30((

Subsistema de Vigilancia Epidemiológica de Enfermedades Metaxenicas y OTVs-DIRESA

FINAL OBSERVATIONSFINAL OBSERVATIONS1) Multiple factors concur Dengue incidence and climatic variables are part of them.

2) It is importante the involvement ofentomologists concerning to reproduction andgrowth rate of the vectors.

NEXT TASKS3) G ti f li t i f i t l ( i b i3) Generation of climate scenarios for a convenient scale (province, basin,

influence area of the health center) for the Region of Huanuco.

4) Developing strategies in the health sector regarding to the occurrence of4) Developing strategies in the health sector regarding to the occurrence ofprobable scenarios:- Incidence of heat/cold waves.- Incidence of vector-borne diseasesIncidence of vector borne diseases.- Incidence of wáter-borne diseases.- Special treatment for endemic zones.

Thanks for your attention!Thanks for your attention!