Live monsoon-fever risk for Sambalpur in one score.

Dengue, malaria, chikungunya and typhoid, blended from weather conditions, Google search interest and PharmEasy lab signals.

Updated 2 Jul 2026. Available in select cities.

Reviewed by Dr. Nikita Toshi and Dr. Avinav Gupta

55/ 100

Overall fever risk score

Malaria : 57/100

Dengue : 52/100

Chikungunya : 52/100

Typhoid : 37/100

Moderate fever risk in Sambalpur Malaria (57) is the top fever here, making up about 80% of this score. The other three add 20%.Low 0-24Low-Mod 25-44Moderate 45-69High 70-100

Right now Sambalpur's overall score is 55/100, moderate, Malaria leading. A daily look at local risk, not who's actually sick.

Scores calculated from weather conditions, Google search interest and PharmEasy lab signals.

Weather conditions this week

What the weather means for fever risk this week.

Temperature35°C

Warmth near 29°C speeds up mosquito-borne fevers.

Rainfall64mm

Last 2-week total; leftover rainwater raises mosquito and typhoid risk.

Humidity46%

Mosquitoes survive longer in humid air.

Live monsoon-fever risk for Sambalpur in one score.

Dengue, malaria, chikungunya and typhoid, blended from weather conditions, Google Search interest and PharmEasy lab signals.

◎ Use my location

Updated 2 Jul 2026. Available in select cities.

Reviewed by Dr. Nikita Toshi and Dr. Avinav Gupta

55/ 100

Overall fever risk score

Malaria : 57/100

Dengue : 52/100

Chikungunya : 52/100

Typhoid : 37/100

Moderate fever risk in Sambalpur Malaria (57) is the top fever here, making up about 80% of this score. The other three add 20%.Low 0-24Low-Mod 25-44Moderate 45-69High 70-100

Right now Sambalpur's overall score is 55/100, moderate, Malaria leading. A daily look at local risk, not who's actually sick.

Scores calculated from weather conditions, Google search interest and PharmEasy lab signals.

Why this score?

Tap a disease to see how each signal builds the score.

🌧 Weather+44

High

60% weight × 74/100 How much recent weather helps these fevers spread, on a 0-100 scale.

How much recent weather raises fever risk.

🔍 Search+13

Low

40% weight × 32/100 How much people near you search these symptoms, vs what's normal for your city. 0-100.

How often people here search these symptoms.

🧪 Lab

No confirmed lab data yet, conditions-only forecast.

Weather 44 + Search 13 = 57No confirmed test data here yet, so the score uses weather and search only, and can't reach HIGH.

🌧 Weather+44

High

60% weight × 74/100 How much recent weather helps these fevers spread, on a 0-100 scale.

How much recent weather raises fever risk.

🔍 Search+8

Low

40% weight × 20/100 How much people near you search these symptoms, vs what's normal for your city. 0-100.

How often people here search these symptoms.

🧪 Lab

No confirmed lab data yet, conditions-only forecast.

Weather 44 + Search 8 = 52No confirmed test data here yet, so the score uses weather and search only, and can't reach HIGH.

🌧 Weather+44

High

60% weight × 74/100 How much recent weather helps these fevers spread, on a 0-100 scale.

How much recent weather raises fever risk.

🔍 Search+8

Low

40% weight × 20/100 How much people near you search these symptoms, vs what's normal for your city. 0-100.

How often people here search these symptoms.

🧪 Lab

No confirmed lab data yet, conditions-only forecast.

Weather 44 + Search 8 = 52No confirmed test data here yet, so the score uses weather and search only, and can't reach HIGH.

🌧 Weather+30

Moderate

60% weight × 49/100 How much recent weather helps these fevers spread, on a 0-100 scale.

How much recent weather raises fever risk.

🔍 Search+7

Low

40% weight × 18/100 How much people near you search these symptoms, vs what's normal for your city. 0-100.

How often people here search these symptoms.

🧪 Lab

No confirmed lab data yet, conditions-only forecast.

Weather 30 + Search 7 = 37No confirmed test data here yet, so the score uses weather and search only, and can't reach HIGH.

Why this score

Each disease score is a confirmation-weighted blend of three signals (0 to 100 each), shown below.

Disease	Weather conditions	Search interest	Lab positivity	Score
🦟 Malaria	74	32	no data	57
🦟 Dengue	74	20	no data	52
🦟 Chikungunya	74	20	no data	52
🤒 Typhoid	49	18	no data	37

How we calculate the score

1. Per-disease environmental score (0 to 100)

From trailing daily weather, shaped by disease family:

Mosquito-borne (dengue, malaria, chikungunya): a unimodal temperature response peaking near 29C (Aedes and Anopheles multiply fastest at 25 to 30C; activity falls below about 18C and above about 35C), times lagged rainfall over the past 14 days (standing-water sites emerge 1 to 2 weeks after rain), times relative humidity (above about 60% extends mosquito lifespan).
Waterborne (typhoid): recent (7-day) plus accumulated (14-day) rainfall as a contamination and runoff proxy; temperature secondary.

2. Three independent signals

Weather conditions (leading, weeks ahead): the environmental score above.
Google Search Interest (coincident): symptom-search attention, smoothed and down-weighted when it spikes alone.
PharmEasy lab signal (lagging, ground truth): aggregate, de-identified test-positivity trend, scaled against a per-disease baseline because a 'high' positivity differs sharply by fever (a full signal is reached around 25% positivity for dengue, 4% for malaria, 15% for chikungunya and 45% for typhoid), and held back until enough tests confirm the read.

3. Confirmation-weighted ensemble

Not a flat average. With lab data present it dominates (weights about 30 / 22 / 48 weather / search / positivity); when all three signals agree we nudge the score up by about 8%, and when they disagree we ease off by about 4% and lean on the lab. Without lab data, a capped forecast-only mode (maximum 69, below the HIGH threshold) keeps a conditions-only read honest. The city headline is a max-dominant blend (0.8 times the top disease plus 0.2 times the mean of the rest) with the driver disease named.

In the breakdown each signal is shown as a plain High / Moderate / Low level with its weight and underlying 0 to 100 score, and the three contributions add up exactly to the displayed score.

Score bands

Low (0 to 24), Low-moderate (25 to 44), Moderate (45 to 69) and High (70 to 100). A forecast-only read is capped at 69, so it can never reach the red High band.

Data sources

Rainfall: NOAA CPC (US public domain)
Temperature and humidity: NASA POWER (NASA Langley, US public domain / CC0)
Search: Google Trends
Positivity: PharmEasy Labs and its Partner Affiliates (aggregate, de-identified)

Selected research

Mordecai et al. Thermal biology of mosquito-borne disease. Ecology Letters, 2019.
Liu-Helmersson et al. Vectorial capacity of Aedes aegypti and temperature. PLOS ONE, 2014.
Ginsberg et al. Detecting influenza epidemics using search engine query data. Nature, 2009.
IDSP Weekly Outbreak Reports, MoHFW (official surveillance).

This is a daily updated dashboard where we compute a monsoon-risk score (0-100) based on multiple data inputs, including weather data, Google search trends, and aggregate data from PharmEasy Labs and its Partner Affiliates.

What you can do

Book a fever panel test

What is happening in other cities?

Overall monsoon-fever risk this week across 209 cities, highest first.

#	City	State	Band	Score
1	Ranchi	Jharkhand	HIGH	73
2	Thane	Maharashtra	MODERATE	69
3	Kochi	Kerala	MODERATE	69
4	Mangaluru	Karnataka	MODERATE	69
5	Belagavi	Karnataka	MODERATE	69
6	Kozhikode	Kerala	MODERATE	69
7	Satara	Maharashtra	MODERATE	69
8	Udupi	Karnataka	MODERATE	69
9	Kannur	Kerala	MODERATE	69
10	Kottayam	Kerala	MODERATE	69
11	Alappuzha	Kerala	MODERATE	69
12	Dibrugarh	Assam	MODERATE	69
13	Nashik	Maharashtra	MODERATE	68
14	Dhanbad	Jharkhand	MODERATE	68
15	Bhiwandi	Maharashtra	MODERATE	68
16	Amravati	Maharashtra	MODERATE	68
17	Kolhapur	Maharashtra	MODERATE	68
18	Akola	Maharashtra	MODERATE	68
19	Kollam	Kerala	MODERATE	68
20	Thrissur	Kerala	MODERATE	68
21	Thiruvananthapuram	Kerala	MODERATE	68
22	Panaji	Goa	MODERATE	68
23	Port Blair	Andaman and Nicobar Islands	MODERATE	68
24	Daman	Dadra and Nagar Haveli and Daman and Diu	MODERATE	68
25	Silvassa	Dadra and Nagar Haveli and Daman and Diu	MODERATE	68
26	Jalgaon	Maharashtra	MODERATE	68
27	Mumbai	Maharashtra	MODERATE	67
28	Solapur	Maharashtra	MODERATE	67
29	Nanded	Maharashtra	MODERATE	67
30	Agartala	Tripura	MODERATE	67
31	Chandrapur	Maharashtra	MODERATE	67
32	Parbhani	Maharashtra	MODERATE	67
33	Haldia	West Bengal	MODERATE	67
34	Khammam	Telangana	MODERATE	67
35	Ramagundam	Telangana	MODERATE	67
36	Palakkad	Kerala	MODERATE	67
37	Nagpur	Maharashtra	MODERATE	66
38	Visakhapatnam	Andhra Pradesh	MODERATE	66
39	Aurangabad	Maharashtra	MODERATE	66
40	Tiruchirappalli	Tamil Nadu	MODERATE	66
41	Ujjain	Madhya Pradesh	MODERATE	66
42	Latur	Maharashtra	MODERATE	66
43	Kakinada	Andhra Pradesh	MODERATE	66
44	Nizamabad	Telangana	MODERATE	66
45	Dewas	Madhya Pradesh	MODERATE	66
46	Khandwa	Madhya Pradesh	MODERATE	66
47	Thanjavur	Tamil Nadu	MODERATE	66
48	Hyderabad	Telangana	MODERATE	65
49	Pune	Maharashtra	MODERATE	65
50	Hubballi	Karnataka	MODERATE	65
51	Warangal	Telangana	MODERATE	65
52	Bhilwara	Rajasthan	MODERATE	65
53	Sangli	Maharashtra	MODERATE	65
54	Sagar	Madhya Pradesh	MODERATE	65
55	Ratlam	Madhya Pradesh	MODERATE	65
56	Navsari	Gujarat	MODERATE	65
57	Rajahmundry	Andhra Pradesh	MODERATE	65
58	Karimnagar	Telangana	MODERATE	65
59	Indore	Madhya Pradesh	MODERATE	64
60	Howrah	West Bengal	MODERATE	64
61	Durgapur	West Bengal	MODERATE	64
62	Gulbarga	Karnataka	MODERATE	64
63	Siliguri	West Bengal	MODERATE	64
64	Davanagere	Karnataka	MODERATE	64
65	Ahmednagar	Maharashtra	MODERATE	64
66	Kharagpur	West Bengal	MODERATE	64
67	Vijayapura	Karnataka	MODERATE	64
68	Hassan	Karnataka	MODERATE	64
69	Puri	Odisha	MODERATE	64
70	Mysuru	Karnataka	MODERATE	63
71	Jamshedpur	Jharkhand	MODERATE	63
72	Cuttack	Odisha	MODERATE	63
73	Bellary	Karnataka	MODERATE	63
74	Dhule	Maharashtra	MODERATE	63
75	Puducherry	Puducherry	MODERATE	63
76	Bardhaman	West Bengal	MODERATE	63
77	Tumakuru	Karnataka	MODERATE	63
78	Raichur	Karnataka	MODERATE	63
79	Kanchipuram	Tamil Nadu	MODERATE	63
80	Surat	Gujarat	MODERATE	62
81	Purnia	Bihar	MODERATE	62
82	Vellore	Tamil Nadu	MODERATE	62
83	Dindigul	Tamil Nadu	MODERATE	62
84	Bengaluru	Karnataka	MODERATE	61
85	Bhubaneswar	Odisha	MODERATE	61
86	Asansol	West Bengal	MODERATE	61
87	Eluru	Andhra Pradesh	MODERATE	61
88	Coimbatore	Tamil Nadu	MODERATE	60
89	Bokaro	Jharkhand	MODERATE	60
90	Guwahati	Assam	MODERATE	59
91	Jammu	Jammu and Kashmir	MODERATE	59
92	Deoghar	Jharkhand	MODERATE	59
93	Hazaribagh	Jharkhand	MODERATE	59
94	Rourkela	Odisha	MODERATE	58
95	Malda	West Bengal	MODERATE	58
96	Haldwani	Uttarakhand	MODERATE	58
97	Kolkata	West Bengal	MODERATE	57
98	Vijayawada	Andhra Pradesh	MODERATE	57
99	Udaipur	Rajasthan	MODERATE	57
100	Chennai	Tamil Nadu	MODERATE	56
101	Tirupati	Andhra Pradesh	MODERATE	56
102	Bhilai	Chhattisgarh	MODERATE	55
103	Darbhanga	Bihar	MODERATE	55
104	Nagercoil	Tamil Nadu	MODERATE	55
105	Sambalpur	Odisha	MODERATE	55
106	Salem	Tamil Nadu	MODERATE	54
107	Gorakhpur	Uttar Pradesh	MODERATE	54
108	Dehradun	Uttarakhand	MODERATE	54
109	Jhansi	Uttar Pradesh	MODERATE	54
110	Korba	Chhattisgarh	MODERATE	54
111	Rampur	Uttar Pradesh	MODERATE	54
112	Raigarh	Chhattisgarh	MODERATE	54
113	Guntur	Andhra Pradesh	MODERATE	53
114	Kurnool	Andhra Pradesh	MODERATE	53
115	Brahmapur	Odisha	MODERATE	53
116	Bharuch	Gujarat	MODERATE	53
117	Bhopal	Madhya Pradesh	MODERATE	52
118	Ongole	Andhra Pradesh	MODERATE	52
119	Delhi	Delhi	MODERATE	51
120	Amritsar	Punjab	MODERATE	51
121	Muzaffarpur	Bihar	MODERATE	51
122	Hosur	Tamil Nadu	MODERATE	51
123	Kadapa	Andhra Pradesh	MODERATE	51
124	Lucknow	Uttar Pradesh	MODERATE	50
125	Tiruppur	Tamil Nadu	MODERATE	50
126	Madurai	Tamil Nadu	MODERATE	49
127	Nellore	Andhra Pradesh	MODERATE	49
128	Erode	Tamil Nadu	MODERATE	49
129	Katihar	Bihar	MODERATE	49
130	Katni	Madhya Pradesh	MODERATE	49
131	Raipur	Chhattisgarh	MODERATE	48
132	Baharampur	West Bengal	MODERATE	48
133	Bareilly	Uttar Pradesh	MODERATE	47
134	Moradabad	Uttar Pradesh	MODERATE	47
135	Saharanpur	Uttar Pradesh	MODERATE	47
136	Tirunelveli	Tamil Nadu	MODERATE	47
137	Sikar	Rajasthan	MODERATE	47
138	Vadodara	Gujarat	MODERATE	46
139	Bilaspur	Chhattisgarh	MODERATE	46
140	Satna	Madhya Pradesh	MODERATE	46
141	Meerut	Uttar Pradesh	MODERATE	45
142	Kota	Rajasthan	MODERATE	45
143	Muzaffarnagar	Uttar Pradesh	MODERATE	45
144	Thoothukudi	Tamil Nadu	MODERATE	45
145	Anantapur	Andhra Pradesh	MODERATE	45
146	Patna	Bihar	LOW-MODERATE	44
147	Hapur	Uttar Pradesh	LOW-MODERATE	44
148	Amroha	Uttar Pradesh	LOW-MODERATE	44
149	Hardoi	Uttar Pradesh	LOW-MODERATE	44
150	Jabalpur	Madhya Pradesh	LOW-MODERATE	43
151	Jamnagar	Gujarat	LOW-MODERATE	43
152	Ghaziabad	Uttar Pradesh	LOW-MODERATE	42
153	Noida	Uttar Pradesh	LOW-MODERATE	42
154	Alwar	Rajasthan	LOW-MODERATE	42
155	Junagadh	Gujarat	LOW-MODERATE	42
156	Haridwar	Uttarakhand	LOW-MODERATE	42
157	Kanpur	Uttar Pradesh	LOW-MODERATE	41
158	Rajkot	Gujarat	LOW-MODERATE	40
159	Gandhidham	Gujarat	LOW-MODERATE	40
160	Mathura	Uttar Pradesh	LOW-MODERATE	39
161	Bulandshahr	Uttar Pradesh	LOW-MODERATE	39
162	Jaipur	Rajasthan	LOW-MODERATE	38
163	Chandigarh	Chandigarh	LOW-MODERATE	38
164	Shahjahanpur	Uttar Pradesh	LOW-MODERATE	38
165	Rewa	Madhya Pradesh	LOW-MODERATE	38
166	Singrauli	Madhya Pradesh	LOW-MODERATE	38
167	Aligarh	Uttar Pradesh	LOW-MODERATE	37
168	Unnao	Uttar Pradesh	LOW-MODERATE	37
169	Agra	Uttar Pradesh	LOW-MODERATE	36
170	Jalandhar	Punjab	LOW-MODERATE	36
171	Firozabad	Uttar Pradesh	LOW-MODERATE	36
172	Anand	Gujarat	LOW-MODERATE	36
173	Nadiad	Gujarat	LOW-MODERATE	36
174	Budaun	Uttar Pradesh	LOW-MODERATE	35
175	Begusarai	Bihar	LOW-MODERATE	35
176	Mohali	Punjab	LOW-MODERATE	35
177	Ajmer	Rajasthan	LOW-MODERATE	34
178	Bhagalpur	Bihar	LOW-MODERATE	34
179	Hisar	Haryana	LOW-MODERATE	34
180	Ambala	Haryana	LOW-MODERATE	34
181	Rohtak	Haryana	LOW-MODERATE	33
182	Bharatpur	Rajasthan	LOW-MODERATE	33
183	Ahmedabad	Gujarat	LOW-MODERATE	32
184	Faridabad	Haryana	LOW-MODERATE	32
185	Gurugram	Haryana	LOW-MODERATE	32
186	Panipat	Haryana	LOW-MODERATE	32
187	Gandhinagar	Gujarat	LOW-MODERATE	32
188	Bathinda	Punjab	LOW-MODERATE	32
189	Fatehpur	Uttar Pradesh	LOW-MODERATE	31
190	Sitapur	Uttar Pradesh	LOW-MODERATE	31
191	Pali	Rajasthan	LOW-MODERATE	31
192	Prayagraj	Uttar Pradesh	LOW-MODERATE	30
193	Karnal	Haryana	LOW-MODERATE	30
194	Ludhiana	Punjab	LOW-MODERATE	29
195	Gwalior	Madhya Pradesh	LOW-MODERATE	29
196	Jodhpur	Rajasthan	LOW-MODERATE	29
197	Bikaner	Rajasthan	LOW-MODERATE	29
198	Patiala	Punjab	LOW-MODERATE	29
199	Hanumangarh	Rajasthan	LOW-MODERATE	29
200	Bihar Sharif	Bihar	LOW-MODERATE	28
201	Etawah	Uttar Pradesh	LOW-MODERATE	27
202	Raebareli	Uttar Pradesh	LOW-MODERATE	27
203	Arrah	Bihar	LOW-MODERATE	26
204	Chhapra	Bihar	LOW-MODERATE	26
205	Varanasi	Uttar Pradesh	LOW	23
206	Srinagar	Jammu and Kashmir	LOW	23
207	Mirzapur	Uttar Pradesh	LOW	23
208	Gaya	Bihar	LOW	22
209	Sri Ganganagar	Rajasthan	LOW	18

This monsoon vs last in Sambalpur

▼Tracking below last year so far, but creeping up-19%

Last year peaked at 68 (MODERATE) in Jun.

JunJulAugSepOct

Vertical scale starts at 0; higher means greater risk.

Last yearThis yearYou are here

Risk is climbing as the monsoon builds.

Sources: NOAA CPC, NASA POWER, Google Trends, PharmEasy labs. A risk indicator, not a case count.

Common questions

How worried should I be about monsoon fevers in Sambalpur right now?

Right now Sambalpur's overall score is 55/100, which lands in the MODERATE band - and Malaria is the main thing nudging it up (it's sitting at 57). Think of the score as a daily look at local risk across the four fevers we track, not who's actually sick, so it's a heads-up rather than a diagnosis. We recompute it every day; this one's from 2 Jul 2026.

Is dengue something to watch in Sambalpur this week?

Dengue's at 52/100 in Sambalpur (MODERATE) this week, which makes it the second-biggest concern of the four fevers here. We don't have confirmed lab numbers for Sambalpur yet, so this is a conditions-based estimate that we deliberately cap below the HIGH band to keep it honest. Either way it's a risk signal built from weather conditions, search interest and lab data - not a count of cases or mosquitoes, and not a diagnosis.

Of all the monsoon fevers, which one should Sambalpur keep an eye on?

This week it's Malaria, at 57/100 (MODERATE). Here's the full order right now, highest to lowest: Malaria (57), Dengue (52), Chikungunya (52), Typhoid (37). Worth checking back, though - we rerun this daily, and the ranking really does shuffle as the weather, searches and lab signals move.

How is Sambalpur's weather affecting the mosquito-fever risk?

Sambalpur has a seasonal tropical (wet and dry) climate, and this week it's averaging about 35C with 46% humidity and roughly 64 mm of rain over the last fortnight. Mosquitoes like Aedes and Anopheles multiply fastest near 29C and use the standing water that shows up a week or two after rain, so warm, wet spells push our weather signal up and drier or cooler ones pull it back down. (Worth flagging: that's outdoor weather, not body-temperature fever.)

Where does the Sambalpur score actually come from?

Three signals, blended: weather conditions (from NASA's open POWER data), how much people are searching for these illnesses, and PharmEasy's lab positivity. Lab data hasn't reached Sambalpur yet, so for now it's a weather-and-search forecast (about 60/40), capped at 69 so it can't hit HIGH until the labs back it up. We always show the breakdown - it's never a mystery number. For reference, the bands are LOW (0-24), LOW-MODERATE (25-44), MODERATE (45-69) and HIGH (70 and up).

Is it dengue season in Sambalpur yet?

Monsoon fevers follow the rain more than the calendar. This week Sambalpur's weather signal for the mosquito-borne ones is 74/100, with about 64 mm of rain over the past fortnight leaving standing water - that's firmly in risk-raising territory. So rather than guessing by the month, just check back here; it updates daily, and you'll see conditions climb or ease in real time.

Is Sambalpur better or worse off than other Indian cities right now?

Out of the 209 cities we cover, Sambalpur ranks #105 this week on the overall score (55/100, MODERATE), which puts it in the middle band nationally. That ordering shifts through the season, though, because every city is rescored each day from its own weather, searches and lab signals.

What does a MODERATE reading actually mean for Sambalpur?

A MODERATE reading (55/100) means things in Sambalpur are a touch elevated but mixed - not a red alert, just a nudge to take the usual precautions. The bands run LOW, LOW-MODERATE, MODERATE, then HIGH. And since Sambalpur is on a conditions-only forecast for now, it's capped at 69 - it won't show HIGH until lab data confirms it.

Are dengue cases actually rising in Sambalpur?

We can't give you case counts - Fever Watch doesn't report those. What we can show is how much Odisha is searching for dengue, which is 20/100 this week. Search spikes often track public worry and can run ahead of, or alongside, an outbreak - but they aren't confirmed cases. For the confirmed side we lean on PharmEasy's aggregated, de-identified lab positivity wherever it's available.

What should someone in Sambalpur actually do this week?

With Sambalpur at MODERATE (55/100) and Malaria leading, the sensible basics: tip out any standing water and use repellent for the mosquito-borne ones, stick to safe drinking water to keep typhoid at bay, and don't brush off a fever that lasts more than a couple of days. If you're feeling off, a fever panel test or a quick online doctor consult on PharmEasy is an easy next step. And the usual reminder - this is a risk indicator, not medical advice, so do see a doctor if you're unwell.

Live monsoon-fever risk for Sambalpur in one score.

Weather conditions this week

Live monsoon-fever risk for Sambalpur in one score.

Why this score?

Why this score

How we calculate the score

1. Per-disease environmental score (0 to 100)

2. Three independent signals

3. Confirmation-weighted ensemble

Score bands

Data sources

Selected research

What you can do

What is happening in other cities?

This monsoon vs last in Sambalpur

Common questions

Further reading from PharmEasy

Dengue

Malaria

Mosquito bites and monsoon health