| Literature DB >> 31835597 |
Devojit Kumar Sarma1, Pradumnya Kishore Mohapatra2, Dibya Ranjan Bhattacharyya2, Savitha Chellappan3, Balasubramani Karuppusamy4, Keshab Barman5, Nachimuthu Senthil Kumar6, Aditya Prasad Dash7, Anil Prakash1, Praveen Balabaskaran Nina8.
Abstract
Worldwide and in India, malaria elimination efforts are being ramped up to eradicate the disease by 2030. Malaria elimination efforts in North-East (NE) India will have a great bearing on the overall efforts to eradicate malaria in the rest of India. The first cases of chloroquine and sulfadoxine-pyrimethamine resistance were reported in NE India, and the source of these drug resistant parasites are most likely from South East Asia (SEA). NE India is the only land route through which the parasites from SEA can enter the Indian mainland. India's malaria drug policy had to be constantly updated due to the emergence of drug resistant parasites in NE India. Malaria is highly endemic in many parts of NE India, and Plasmodium falciparum is responsible for the majority of the cases. Highly efficient primary vectors and emerging secondary vectors complicate malaria elimination efforts in NE India. Many of the high transmission zones in NE India are tribal belts, and are difficult to access. The review details the malaria epidemiology in seven NE Indian states from 2008 to 2018. In addition, the origin and evolution of resistance to major anti-malarials are discussed. Furthermore, the bionomics of primary vectors and emergence of secondary malaria vectors, and possible strategies to prevent and control malaria in NE are outlined.Entities:
Keywords: An. baimaii; An. minimus; North-East India; P. falciparum; P. vivax; artemisinin combination therapy
Year: 2019 PMID: 31835597 PMCID: PMC6956115 DOI: 10.3390/microorganisms7120673
Source DB: PubMed Journal: Microorganisms ISSN: 2076-2607
Salient features of malaria in North-East (NE) India.
| NE States | Assam, Arunachal Pradesh, Mizoram, Tripura, Meghalaya, Nagaland and Manipur |
|---|---|
| Geographical Area | 255,128 Km2 (consists of hills, valleys and plains) |
| National proportion to land cover | 8% |
| Total Population | 45161611 (2011 census) with an average density of 159 persons/km2 |
| Climate | Tropical monsoon humid climate |
| Contribution to nation’s malaria cases | 15.2% (in 2018) |
| Major | |
| Primary malaria vectors | |
| Secondary malaria vectors | |
| Treatment for malaria |
Figure 1Location map of North-East (NE) India. Red line shows the boundaries of the seven states of NE India.
Figure 2Slide positivity rate (SPR), slide falciparum rate (SFR) and emergence of drug resistance in NE states during 1961–2018. Adapted from Mohapatra et al., 2014 [11].
Distribution of malaria cases in 7 NE states from 2008 to 2018 (Source: National Vector Borne Disease Control Program (NVBDCP), India).
| States | Assam | Arunachal Pradesh | Meghalaya | Mizoram | Nagaland | Manipur | Tripura | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Year | Number of Malaria Cases |
|
| Number of Malaria Cases |
|
| Number of Malaria Cases |
|
| Number of Malaria Cases |
|
| Number of Malaria Cases |
|
| Number of Malaria Cases |
|
| Number of Malaria Cases |
|
|
| 2008 | 83,939 | 58,124 | 25,815 | 29,146 | 8219 | 20,927 | 39,616 | 36,301 | 3315 | 7361 | 6172 | 1189 | 5078 | 835 | 4243 | 708 | 356 | 352 | 25,894 | 23,588 | 2306 |
| 2009 | 91,413 | 66,557 | 24,856 | 22,066 | 6602 | 15,464 | 76,759 | 74,251 | 2508 | 9399 | 7387 | 2012 | 8489 | 2893 | 5596 | 1069 | 620 | 449 | 24,430 | 22,952 | 1478 |
| 2010 | 68,353 | 48,330 | 20,023 | 17,944 | 5412 | 12,532 | 41,642 | 39,374 | 2268 | 15,594 | 14,664 | 930 | 4959 | 1877 | 3082 | 947 | 487 | 460 | 23,939 | 21,254 | 2685 |
| 2011 | 47,397 | 34,707 | 12,690 | 13,950 | 4856 | 9094 | 25,143 | 24,018 | 1125 | 8861 | 8373 | 488 | 3363 | 950 | 2413 | 714 | 314 | 400 | 14,417 | 13,812 | 605 |
| 2012 | 29,999 | 20,579 | 9420 | 8368 | 2789 | 5579 | 20,834 | 19,805 | 1029 | 9883 | 9437 | 446 | 2891 | 821 | 2070 | 255 | 83 | 172 | 11,565 | 10,915 | 650 |
| 2013 | 19,542 | 14,969 | 4573 | 6398 | 2181 | 4217 | 24,727 | 22,885 | 1842 | 11,747 | 10,340 | 1407 | 2285 | 519 | 1766 | 120 | 42 | 78 | 7396 | 6998 | 398 |
| 2014 | 14,540 | 11,210 | 3330 | 6082 | 2338 | 3744 | 39,168 | 37,149 | 2019 | 23,145 | 21,083 | 2062 | 1936 | 647 | 1289 | 145 | 72 | 73 | 51,240 | 49,653 | 1587 |
| 2015 | 15,557 | 11,675 | 3882 | 5088 | 1714 | 3374 | 48,603 | 43,828 | 4775 | 28,593 | 24,602 | 3991 | 1527 | 532 | 995 | 216 | 119 | 97 | 32,525 | 30,074 | 2451 |
| 2016 | 7826 | 5686 | 2140 | 3128 | 895 | 2233 | 35,147 | 31,867 | 3280 | 7583 | 5907 | 1676 | 828 | 316 | 512 | 122 | 58 | 64 | 10,546 | 9545 | 1001 |
| 2017 | 5281 | 3494 | 1787 | 1546 | 488 | 1058 | 16,454 | 14,418 | 2036 | 5715 | 4974 | 741 | 394 | 188 | 206 | 80 | 22 | 58 | 7051 | 6571 | 480 |
| 2018 | 3816 | 2859 | 957 | 625 | 154 | 471 | 6394 | 6065 | 329 | 4296 | 3937 | 359 | 113 | 24 | 89 | 12 | 3 | 9 | 13,079 | 12,600 | 479 |
Figure 3Spatio-temporal distribution of Pf and Pv cases in NE India during 2008–2018. The background color shows the population density of the states (as per 2011 census). The proportioned pie-chart represents the total number of Pf and Pv cases reported in the states from 2008 to 2018. (NVBDCP data contains only total malaria cases and Pf cases. Pv data was obtained by subtracting Pf cases from total malaria cases).
Malaria cases in proportion to population.
| State | Total Cases (2008–2018) | Density (2011) | Population (2011) | Average Cases/Year (2008–2018) | Average Cases to Population | Total Cases to Population | ||
|---|---|---|---|---|---|---|---|---|
| Arunachal Pradesh | 35,648 | 78,693 | 114,341 | 17 | 1,382,611 | 10,394.63 | 0.75% | 8.3% |
| Assam | 278,190 | 109,473 | 387,663 | 397 | 31,169,272 | 35,242.09 | 0.11% | 1.2% |
| Manipur | 2176 | 2212 | 4388 | 122 | 2,721,756 | 398.90 | 0.01% | 0.2% |
| Meghalaya | 349,961 | 24,526 | 374,487 | 132 | 2,964,007 | 34,044.27 | 1.15% | 12.6% |
| Mizoram | 116,876 | 15,301 | 132,177 | 52 | 1,091,014 | 12,016.09 | 1.10% | 12.1% |
| Nagaland | 9602 | 22,261 | 31,863 | 119 | 1,980,602 | 2896.63 | 0.15% | 1.6% |
| Tripura | 207,962 | 14,120 | 222,082 | 350 | 3,671,032 | 20,189.27 | 0.55% | 6.0% |
Drug-resistance studies in NE India.
| Year | Anti-Malarial Drug | Assay Method | State/Area | Outcome | Ref No. |
|---|---|---|---|---|---|
| 1973 | CQ | Therapeutic efficacy | Assam | RI level of resistance in 52.5% and RII level in 22.5% of cases* | [ |
| CQ (1500 mg) | 28 days | Garohills, Meghalaya | RI-33%, RII-9.5%, RIII-12.5% | [ | |
| 1974 | CQ | Therapeutic efficacy | Assam | RI-24% | [ |
| Quinine + pyrimethamine | No resistance observed | ||||
| 1975 | CQ (1500 mg) | 28 days | Burnihat, Meghalaya | RI-78.3%, RII-4.3% | [ |
| 1976 | CQ (1500 mg) | 7 days | Tezu, Lohit, AP | RI-17.9%, RII-17.9%, RIII-49.2% | |
| 1977 | CQ (900 mg) + Pyrimethamine (50 mg) | 7 days | Assam (different districts) | 0–33.4% resistance | [ |
| CQ (600 mg) + Pyrimethamine (50 mg) | Assam (different districts) | 0–90.0% resistance | |||
| CQ (600 mg) + Pyrimethamine (45 mg) | Karbi Anglong, Assam | 46% resistance | |||
| CQ (600 mg) + Pyrimethamine (50 mg) | Nagaland | 51.2% resistance | [ | ||
| CQ (900 mg) + Pyrimethamine (50 mg) | 22% resistance | ||||
| CQ (600 mg) + Pyrimethamine (45 mg) | 47% resistance | ||||
| CQ (1500 mg) | Bama Bazar, Garohills, Meghalaya | S/RI-82.2%, RIII-18% | [ | ||
| CQ (600 mg) + Pyrimethamine (50 mg) | Miao, AP | 29.9% resistance | [ | ||
| CQ (600 mg) + Pyrimethamine (50 mg) | North Tripura | No resistance observed | |||
| CQ (600 mg) + Pyrimethamine (50 mg) | Aizawl, Mizoram | 29% resistance | |||
| CQ (600 mg) + Pyrimethamine (50 mg) | Jiribam, Manipur | No resistance observed | |||
| 1978 | CQ (1500 mg) | 7 days | Karbi Anglong, Assam | 66.6% resistance | [ |
| 1979 | CQ (1500 mg) | 28 days | Mendipathar, Garohills, Meghalaya | RI-50% | [ |
| 1995 | CQ | 3 days | Assam | S/RI-85%, RI-7%, RII-3%, RIII-5% | [ |
| Alpha-Beta Arteether | 28 days therapeutic efficacy | Dibrugarh, Assam | No resistance observed | [ | |
| 1999 | CQ | 28 days | Jairampur, AP (Indo-Myanmar Border) | ETF-60.4%, LTF-22.6% | [ |
| SP | do | do | ETF-32.6%, LTF-11.6% | ||
| quinine | 7 days | do | 15.8% treatment failure observed | ||
| 2001 | CQ | 42 days prospective randomized non-blinded trial | Bokajan, Karbi Anglong, Assam | RI-53%, RII-2.2%, RIII-8.9% | [ |
| SP | Sonitpur, Assam | RI-29%, RII-3.8%, RIII-5.8% | |||
| Mefloquine | RI-4.4% | ||||
| Mefloquine+artesunate | RI-8.7%, RIII-2% | ||||
| CQ | RI-37.5%, RII-29%, RIII-29% | ||||
| SP | RI-36.7%, RII-14.3%, RIII-6.1% | ||||
| Mefloquine | RI-5.9%, RII-2% | ||||
| Mefloquine+artesunate | RI-1.9% | ||||
| 2002–2003 | CQ | 28 days | AP | ETF-23.8%, LCF-14.3%, LPF-10.7% | [ |
| SP | AP | ETF-14.1%, LCF-12.6%, LPF-8.1% | |||
| 2005 | CQ | 35 days | Assam | RI-13%, RII-4%, RIII-Nil | [ |
| SP | No resistance | ||||
| 2007–2010 | CQ | Molecular (Nested PCR) | Sonitpur, Assam | [ | |
| 2010 | CQ | In vivo therapeutic efficacy | Tripura (Indo-Bangladesh Border) | ~30% ETF, 5% LTF | [ |
| 2011 | CQ | 28 days | Tripura | ETF-32.5%, LCF-35%, | [ |
(CQ: Chloroquine, SP: Sulfadoxine/Pyrimethamine, *Classification of anti-malarial treatment types can be found in Box A2).
Figure 4Summary of key events related to Malaria prevention and control in the NE (DDT: Dichlorodiphenyltrichloroethane, NMEP: National Malaria Eradication Program, GFATM: Global Fund to Fight AIDS, Tuberculosis and Malaria, LLIN: Long-lasting insecticide nets, ACT: Artemisinin-based combination therapy, RDT: Rapid diagnostic kit, ACT-AL: ACT Artemether-lumefantrine, NFME: National Framework for Malaria Elimination).
Figure 5Distribution of primary and secondary malaria vectors in NE India.
Bionomics of major malaria vectors in NE India.
| Species | Sibling Species Present | Range | Bionomical Characteristics | Disease Transmission Relationships | |||||
|---|---|---|---|---|---|---|---|---|---|
| Larval Habitat | Resting Habitat | Feeding Habit | Peak Biting Activity (hours) | Susceptibility Status to Insecticides | Density | Infectivity | |||
| All NE Indian states except for Sikkim [ | Water pits, elephant footprints, rock bed ravine, mud pools etc. | Outdoor | Highly anthropophillic, both indoor and outdoor biter [ | 21:00–03:00 | Susceptible [ | 5.78# (1986–1988, Arunachal Pradesh) [ | 0.97% (1986–1988, Arunachal Pradesh) [ | ||
| All NE Indian states except for Sikkim | Perennial foothill seepage water streams | Human-dwellings indoors | Highly anthropophillic | 01:00-04:00 | Susceptible [ | 1.86# (1986–1988, Arunachal Pradesh) [ | 0.40% (1986–1988, Arunachal Pradesh) [ | ||
* Per person per night, #—Trap density per night.
Secondary malaria vectors in NE India.
| Sl. No. | Year of Incrimination | Month/Season | Place | Species | Total Positivity | Method of Incrimination | Reference |
|---|---|---|---|---|---|---|---|
| 1 | 1941 | Not Known | Assam |
| 0.56% | Dissection | [ |
| 2 | 1968 | August | Burnihat, Meghalaya |
| 1 no | Dissection | [ |
| 3 | 1969 | July | Burnihat, Meghalaya | 1 no | Dissection | ||
| 4 | 2001–2002 | Throughout the year | Jorhat, Assam |
| 3.95% | CSP ELISA | [ |
|
| 5.80% | ||||||
|
| 0.48% | ||||||
|
| 6.25% | ||||||
|
| 1.28% | ||||||
|
| 0.94% | ||||||
|
| 6.67% | ||||||
|
| 3.23% | ||||||
|
| 3.87% | ||||||
| 5 | 2000–2002 | Throughout the year | Jairampur, AP |
| 1.20% | CSP ELISA | [ |
| Soraipung, DBR, Assam | 2.60% | ||||||
| Titabor, Assam | 1.70% | ||||||
| 6 | 2008–2009 | April-October | Jorhat, Assam |
| 0.70% | PCR | [ |
| Dimapur, Nagaland | 0.95% | ||||||
| 7 | 2012 | Pre & Post monsoon | Assam |
| 2.50% | CSP ELISA | [ |
| Meghalaya | 3.50% | ||||||
| Manipur | 1.20% | ||||||
| 2013 | Assam | 10.90% | |||||
| Meghalaya | 6.40% | ||||||
| Manipur | 1.80% | ||||||
| 2014 | Assam | 6.60% | |||||
| Meghalaya | 3.50% | ||||||
| Manipur | 9.50% | ||||||
| 8 | 2013 | March-August | Orang, Assam |
| 0.56* | CSP-ICT | [ |
| Orang, Assam |
| 0.22* | |||||
| Balipara, Assam |
| 0.13* |
(* Minimum infection rate, CSP: Circumsporozoite protein, ELISA: Enzyme-linked immunosorbant assay, PCR: Polymerase chain reaction, ICT: Immunochromatographic test).
Figure 6District and primary health center (PHC)-level malaria hotspot in Assam from 2013 to 2016. Malaria hotspots were calculated based on the annual parasite incidence (API) of the respective districts and PHCs.